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Griswold AJ, Rajabli F, Gu T, Arvizu J, Golightly CG, Whitehead PL, Hamilton-Nelson KL, Adams LD, Sanchez JJ, Mena PR, Starks TD, Illanes-Manrique M, Silva C, Bush WS, Cuccaro ML, Vance JM, Cornejo-Olivas MR, Feliciano-Astacio BE, Byrd GS, Beecham GW, Haines JL, Pericak-Vance MA. Generalizability of Tau and Amyloid Plasma Biomarkers in Alzheimer's Disease Cohorts of Diverse Genetic Ancestries. medRxiv 2024:2024.04.10.24305617. [PMID: 38645114 PMCID: PMC11030471 DOI: 10.1101/2024.04.10.24305617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Introduction Plasma phosphorylated threonine-181 of Tau and amyloid beta are biomarkers for differential diagnosis and preclinical detection of Alzheimer disease (AD). Given differences in AD risk across diverse populations, generalizability of existing biomarker data is not assured. Methods In 2,086 individuals of diverse genetic ancestries (African American, Caribbean Hispanic, and Peruvians) we measured plasma pTau-181 and Aβ42/Aβ40. Differences in biomarkers between cohorts and clinical diagnosis groups and the potential discriminative performance of the two biomarkers were assessed. Results pTau-181 and Aβ42/Aβ40 were consistent across cohorts. Higher levels of pTau181 were associated with AD while Aβ42/Aβ40 had minimal differences. Correspondingly, pTau-181 had greater predictive value than Aβ42/Aβ40, however, the area under the curve differed between cohorts. Discussion pTau-181 as a plasma biomarker for clinical AD is generalizable across genetic ancestries, but predictive value may differ. Combining genomic and biomarker data from diverse individuals will increase understanding of genetic risk and refine clinical diagnoses.
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Affiliation(s)
- Anthony J Griswold
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, 33136, USA
- Dr. John T Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, 33136, USA
| | - Farid Rajabli
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, 33136, USA
- Dr. John T Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, 33136, USA
| | - Tianjie Gu
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, 33136, USA
| | - Jamie Arvizu
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, 33136, USA
| | - Charles G Golightly
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, 33136, USA
| | - Patrice L Whitehead
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, 33136, USA
| | - Kara L Hamilton-Nelson
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, 33136, USA
| | - Larry D Adams
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, 33136, USA
| | - Jose Javier Sanchez
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, 33136, USA
| | - Pedro R Mena
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, 33136, USA
| | - Takiyah D Starks
- Maya Angelou Center for Health Equity, Wake Forest University, Winston-Salem, NC, 27102, USA
| | | | - Concepcion Silva
- Department of Internal Medicine, Universidad Central Del Caribe, Bayamón, Puerto Rico, 00960, USA
| | - William S Bush
- Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA
- Cleveland Institute for Computational Biology, Cleveland, OH, 44106, USA
| | - Michael L Cuccaro
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, 33136, USA
- Dr. John T Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, 33136, USA
| | - Jeffery M Vance
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, 33136, USA
- Dr. John T Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, 33136, USA
| | - Mario R Cornejo-Olivas
- Neurogenetics Research Center, Instituto Nacional de Ciencias Neurologicas, Lima, 15003, Peru
| | | | - Goldie S Byrd
- Maya Angelou Center for Health Equity, Wake Forest University, Winston-Salem, NC, 27102, USA
| | - Gary W Beecham
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, 33136, USA
- Dr. John T Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, 33136, USA
| | - Jonathan L Haines
- Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA
- Cleveland Institute for Computational Biology, Cleveland, OH, 44106, USA
| | - Margaret A Pericak-Vance
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, 33136, USA
- Dr. John T Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, 33136, USA
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Guo Z, Duan D, Tang W, Zhu J, Bush WS, Zhang L, Zhu X, Jin F, Feng H. magpie: A power evaluation method for differential RNA methylation analysis in N6-methyladenosine sequencing. PLoS Comput Biol 2024; 20:e1011875. [PMID: 38346081 PMCID: PMC10890765 DOI: 10.1371/journal.pcbi.1011875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 02/23/2024] [Accepted: 01/30/2024] [Indexed: 02/25/2024] Open
Abstract
Recently, novel biotechnologies to quantify RNA modifications became an increasingly popular choice for researchers who study epitranscriptome. When studying RNA methylations such as N6-methyladenosine (m6A), researchers need to make several decisions in its experimental design, especially the sample size and a proper statistical power. Due to the complexity and high-throughput nature of m6A sequencing measurements, methods for power calculation and study design are still currently unavailable. In this work, we propose a statistical power assessment tool, magpie, for power calculation and experimental design for epitranscriptome studies using m6A sequencing data. Our simulation-based power assessment tool will borrow information from real pilot data, and inspect various influential factors including sample size, sequencing depth, effect size, and basal expression ranges. We integrate two modules in magpie: (i) a flexible and realistic simulator module to synthesize m6A sequencing data based on real data; and (ii) a power assessment module to examine a set of comprehensive evaluation metrics.
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Affiliation(s)
- Zhenxing Guo
- School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Shenzhen, Guangdong, China
| | - Daoyu Duan
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Wen Tang
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Julia Zhu
- Hathaway Brown School, Shaker Heights, Ohio, United States of America
| | - William S. Bush
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Liangliang Zhang
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Fulai Jin
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Hao Feng
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, United States of America
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Eissman JM, Archer DB, Mukherjee S, Lee ML, Choi S, Scollard P, Trittschuh EH, Mez JB, Bush WS, Kunkle BW, Naj AC, Gifford KA, Cuccaro ML, Cruchaga C, Pericak‐Vance MA, Farrer LA, Wang L, Schellenberg GD, Mayeux RP, Haines JL, Jefferson AL, Kukull WA, Keene CD, Saykin AJ, Thompson PM, Martin ER, Bennett DA, Barnes LL, Schneider JA, Crane PK, Hohman TJ, Dumitrescu L. Sex-specific genetic architecture of late-life memory performance. Alzheimers Dement 2024; 20:1250-1267. [PMID: 37984853 PMCID: PMC10917043 DOI: 10.1002/alz.13507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 08/08/2023] [Accepted: 09/07/2023] [Indexed: 11/22/2023]
Abstract
BACKGROUND Women demonstrate a memory advantage when cognitively healthy yet lose this advantage to men in Alzheimer's disease. However, the genetic underpinnings of this sex difference in memory performance remain unclear. METHODS We conducted the largest sex-aware genetic study on late-life memory to date (Nmales = 11,942; Nfemales = 15,641). Leveraging harmonized memory composite scores from four cohorts of cognitive aging and AD, we performed sex-stratified and sex-interaction genome-wide association studies in 24,216 non-Hispanic White and 3367 non-Hispanic Black participants. RESULTS We identified three sex-specific loci (rs67099044-CBLN2, rs719070-SCHIP1/IQCJ-SCHIP), including an X-chromosome locus (rs5935633-EGL6/TCEANC/OFD1), that associated with memory. Additionally, we identified heparan sulfate signaling as a sex-specific pathway and found sex-specific genetic correlations between memory and cardiovascular, immune, and education traits. DISCUSSION This study showed memory is highly and comparably heritable across sexes, as well as highlighted novel sex-specific genes, pathways, and genetic correlations that related to late-life memory. HIGHLIGHTS Demonstrated the heritable component of late-life memory is similar across sexes. Identified two genetic loci with a sex-interaction with baseline memory. Identified an X-chromosome locus associated with memory decline in females. Highlighted sex-specific candidate genes and pathways associated with memory. Revealed sex-specific shared genetic architecture between memory and complex traits.
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Archer DB, Eissman JM, Mukherjee S, Lee ML, Choi S, Scollard P, Trittschuh EH, Mez JB, Bush WS, Kunkle BW, Naj AC, Gifford KA, Cuccaro ML, Pericak‐Vance MA, Farrer LA, Wang L, Schellenberg GD, Mayeux RP, Haines JL, Jefferson AL, Kukull WA, Keene CD, Saykin AJ, Thompson PM, Martin ER, Bennett DA, Barnes LL, Schneider JA, Crane PK, Dumitrescu L, Hohman TJ. Longitudinal change in memory performance as a strong endophenotype for Alzheimer's disease. Alzheimers Dement 2024; 20:1268-1283. [PMID: 37985223 PMCID: PMC10896586 DOI: 10.1002/alz.13508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 08/28/2023] [Accepted: 08/29/2023] [Indexed: 11/22/2023]
Abstract
INTRODUCTION Although large-scale genome-wide association studies (GWAS) have been conducted on AD, few have been conducted on continuous measures of memory performance and memory decline. METHODS We conducted a cross-ancestry GWAS on memory performance (in 27,633 participants) and memory decline (in 22,365 participants; 129,201 observations) by leveraging harmonized cognitive data from four aging cohorts. RESULTS We found high heritability for two ancestry backgrounds. Further, we found a novel ancestry locus for memory decline on chromosome 4 (rs6848524) and three loci in the non-Hispanic Black ancestry group for memory performance on chromosomes 2 (rs111471504), 7 (rs4142249), and 15 (rs74381744). In our gene-level analysis, we found novel genes for memory decline on chromosomes 1 (SLC25A44), 11 (BSX), and 15 (DPP8). Memory performance and memory decline shared genetic architecture with AD-related traits, neuropsychiatric traits, and autoimmune traits. DISCUSSION We discovered several novel loci, genes, and genetic correlations associated with late-life memory performance and decline. HIGHLIGHTS Late-life memory has high heritability that is similar across ancestries. We discovered four novel variants associated with late-life memory. We identified four novel genes associated with late-life memory. Late-life memory shares genetic architecture with psychiatric/autoimmune traits.
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Greenfest‐Allen E, Valladares O, Kuksa PP, Gangadharan P, Lee W, Cifello J, Katanic Z, Kuzma AB, Wheeler N, Bush WS, Leung YY, Schellenberg G, Stoeckert CJ, Wang L. NIAGADS Alzheimer's GenomicsDB: A resource for exploring Alzheimer's disease genetic and genomic knowledge. Alzheimers Dement 2024; 20:1123-1136. [PMID: 37881831 PMCID: PMC10916966 DOI: 10.1002/alz.13509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 08/25/2023] [Accepted: 09/21/2023] [Indexed: 10/27/2023]
Abstract
INTRODUCTION The National Institute on Aging Genetics of Alzheimer's Disease Data Storage Site Alzheimer's Genomics Database (GenomicsDB) is a public knowledge base of Alzheimer's disease (AD) genetic datasets and genomic annotations. METHODS GenomicsDB uses a custom systems architecture to adopt and enforce rigorous standards that facilitate harmonization of AD-relevant genome-wide association study summary statistics datasets with functional annotations, including over 230 million annotated variants from the AD Sequencing Project. RESULTS GenomicsDB generates interactive reports compiled from the harmonized datasets and annotations. These reports contextualize AD-risk associations in a broader functional genomic setting and summarize them in the context of functionally annotated genes and variants. DISCUSSION Created to make AD-genetics knowledge more accessible to AD researchers, the GenomicsDB is designed to guide users unfamiliar with genetic data in not only exploring but also interpreting this ever-growing volume of data. Scalable and interoperable with other genomics resources using data technology standards, the GenomicsDB can serve as a central hub for research and data analysis on AD and related dementias. HIGHLIGHTS The National Institute on Aging Genetics of Alzheimer's Disease Data Storage Site (NIAGADS) offers to the public a unique, disease-centric collection of AD-relevant GWAS summary statistics datasets. Interpreting these data is challenging and requires significant bioinformatics expertise to standardize datasets and harmonize them with functional annotations on genome-wide scales. The NIAGADS Alzheimer's GenomicsDB helps overcome these challenges by providing a user-friendly public knowledge base for AD-relevant genetics that shares harmonized, annotated summary statistics datasets from the NIAGADS repository in an interpretable, easily searchable format.
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Affiliation(s)
- Emily Greenfest‐Allen
- Penn Neurodegeneration Genomics CenterPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Institute for Biomedical InformaticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of Pathology and Laboratory MedicinePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Otto Valladares
- Penn Neurodegeneration Genomics CenterPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Institute for Biomedical InformaticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of Pathology and Laboratory MedicinePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Pavel P. Kuksa
- Penn Neurodegeneration Genomics CenterPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Institute for Biomedical InformaticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of Pathology and Laboratory MedicinePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Prabhakaran Gangadharan
- Penn Neurodegeneration Genomics CenterPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Institute for Biomedical InformaticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of Pathology and Laboratory MedicinePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Wan‐Ping Lee
- Penn Neurodegeneration Genomics CenterPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Institute for Biomedical InformaticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of Pathology and Laboratory MedicinePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Jeffrey Cifello
- Penn Neurodegeneration Genomics CenterPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of Pathology and Laboratory MedicinePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Zivadin Katanic
- Penn Neurodegeneration Genomics CenterPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Institute for Biomedical InformaticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of Pathology and Laboratory MedicinePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Amanda B. Kuzma
- Penn Neurodegeneration Genomics CenterPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Institute for Biomedical InformaticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of Pathology and Laboratory MedicinePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Nicholas Wheeler
- Cleveland Institute for Computational BiologyDepartment of Population and Quantitative Health SciencesCase Western Reserve UniversityClevelandOhioUSA
| | - William S. Bush
- Cleveland Institute for Computational BiologyDepartment of Population and Quantitative Health SciencesCase Western Reserve UniversityClevelandOhioUSA
| | - Yuk Yee Leung
- Penn Neurodegeneration Genomics CenterPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Institute for Biomedical InformaticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of Pathology and Laboratory MedicinePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Gerard Schellenberg
- Penn Neurodegeneration Genomics CenterPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Institute for Biomedical InformaticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of Pathology and Laboratory MedicinePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Christian J. Stoeckert
- Institute for Biomedical InformaticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of GeneticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Li‐San Wang
- Penn Neurodegeneration Genomics CenterPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Institute for Biomedical InformaticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of Pathology and Laboratory MedicinePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
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Leung YY, Naj AC, Chou YF, Valladares O, Schmidt M, Hamilton-Nelson K, Wheeler N, Lin H, Gangadharan P, Qu L, Clark K, Kuzma AB, Lee WP, Cantwell L, Nicaretta H, Haines J, Farrer L, Seshadri S, Brkanac Z, Cruchaga C, Pericak-Vance M, Mayeux RP, Bush WS, Destefano A, Martin E, Schellenberg GD, Wang LS. Human whole-exome genotype data for Alzheimer's disease. Nat Commun 2024; 15:684. [PMID: 38263370 PMCID: PMC10805795 DOI: 10.1038/s41467-024-44781-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 01/02/2024] [Indexed: 01/25/2024] Open
Abstract
The heterogeneity of the whole-exome sequencing (WES) data generation methods present a challenge to a joint analysis. Here we present a bioinformatics strategy for joint-calling 20,504 WES samples collected across nine studies and sequenced using ten capture kits in fourteen sequencing centers in the Alzheimer's Disease Sequencing Project. The joint-genotype called variant-called format (VCF) file contains only positions within the union of capture kits. The VCF was then processed specifically to account for the batch effects arising from the use of different capture kits from different studies. We identified 8.2 million autosomal variants. 96.82% of the variants are high-quality, and are located in 28,579 Ensembl transcripts. 41% of the variants are intronic and 1.8% of the variants are with CADD > 30, indicating they are of high predicted pathogenicity. Here we show our new strategy can generate high-quality data from processing these diversely generated WES samples. The improved ability to combine data sequenced in different batches benefits the whole genomics research community.
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Affiliation(s)
- Yuk Yee Leung
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Adam C Naj
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Yi-Fan Chou
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Otto Valladares
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Michael Schmidt
- Dr. John T. Macdonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL, USA
- The John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
| | - Kara Hamilton-Nelson
- Dr. John T. Macdonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL, USA
- The John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
| | - Nicholas Wheeler
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
- Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Honghuang Lin
- Department of Medicine, UMass Chan Medical School, Boston, MA, USA
| | - Prabhakaran Gangadharan
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Liming Qu
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kaylyn Clark
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Amanda B Kuzma
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Wan-Ping Lee
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Laura Cantwell
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Heather Nicaretta
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jonathan Haines
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
- Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Lindsay Farrer
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Sudha Seshadri
- Boston University School of Medicine, Boston, MA, USA
- The Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Zoran Brkanac
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - Carlos Cruchaga
- Washington University School of Medicine, St. Louis, MO, USA
| | - Margaret Pericak-Vance
- Dr. John T. Macdonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL, USA
- The John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
| | - Richard P Mayeux
- Department of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain and the Gertrude H. Sergievsky Center, Columbia University and the New York Presbyterian Hospital, New York, NY, USA
| | - William S Bush
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
- Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Anita Destefano
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Eden Martin
- Dr. John T. Macdonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL, USA
- The John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
| | - Gerard D Schellenberg
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Li-San Wang
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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Zhang X, Gomez L, Below JE, Naj AC, Martin ER, Kunkle BW, Bush WS. An X Chromosome Transcriptome Wide Association Study Implicates ARMCX6 in Alzheimer's Disease. J Alzheimers Dis 2024; 98:1053-1067. [PMID: 38489177 DOI: 10.3233/jad-231075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2024]
Abstract
Background The X chromosome is often omitted in disease association studies despite containing thousands of genes that may provide insight into well-known sex differences in the risk of Alzheimer's disease (AD). Objective To model the expression of X chromosome genes and evaluate their impact on AD risk in a sex-stratified manner. Methods Using elastic net, we evaluated multiple modeling strategies in a set of 175 whole blood samples and 126 brain cortex samples, with whole genome sequencing and RNA-seq data. SNPs (MAF > 0.05) within the cis-regulatory window were used to train tissue-specific models of each gene. We apply the best models in both tissues to sex-stratified summary statistics from a meta-analysis of Alzheimer's Disease Genetics Consortium (ADGC) studies to identify AD-related genes on the X chromosome. Results Across different model parameters, sample sex, and tissue types, we modeled the expression of 217 genes (95 genes in blood and 135 genes in brain cortex). The average model R2 was 0.12 (range from 0.03 to 0.34). We also compared sex-stratified and sex-combined models on the X chromosome. We further investigated genes that escaped X chromosome inactivation (XCI) to determine if their genetic regulation patterns were distinct. We found ten genes associated with AD at p < 0.05, with only ARMCX6 in female brain cortex (p = 0.008) nearing the significance threshold after adjusting for multiple testing (α = 0.002). Conclusions We optimized the expression prediction of X chromosome genes, applied these models to sex-stratified AD GWAS summary statistics, and identified one putative AD risk gene, ARMCX6.
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Affiliation(s)
- Xueyi Zhang
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Lissette Gomez
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Jennifer E Below
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Adam C Naj
- Department of Biostatistics, Epidemiology, and Informatics, Penn Neurodegeneration Genomics Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Eden R Martin
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Brian W Kunkle
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - William S Bush
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
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Tejeda M, Farrell J, Zhu C, Wetzler L, Lunetta KL, Bush WS, Martin ER, Wang L, Schellenberg GD, Pericak‐Vance MA, Haines JL, Farrer LA, Sherva R. DNA from multiple viral species is associated with Alzheimer's disease risk. Alzheimers Dement 2024; 20:253-265. [PMID: 37578203 PMCID: PMC10840621 DOI: 10.1002/alz.13414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 06/22/2023] [Accepted: 07/10/2023] [Indexed: 08/15/2023]
Abstract
INTRODUCTION Multiple infectious agents, including viruses, bacteria, fungi, and protozoa, have been linked to Alzheimer's disease (AD) risk by independent lines of evidence. We explored this association by comparing the frequencies of viral species identified in a large sample of AD cases and controls. METHODS DNA sequence reads that did not align to the human genome in sequences were mapped to viral reference sequences, quantified, and then were tested for association with AD in whole exome sequences (WES) and whole genome sequences (WGS) datasets. RESULTS Several viruses were significant predictors of AD according to the machine learning classifiers. Subsequent regression analyses showed that herpes simplex type 1 (HSV-1) (odds ratio [OR] = 3.71, p = 8.03 × 10-4) and human papillomavirus 71 (HPV-71; OR = 3.56, p = 0.02), were significantly associated with AD after Bonferroni correction. The phylogenetic-related cluster of Herpesviridae was significantly associated with AD in several strata of the data (p < 0.01). DISCUSSION Our results support the hypothesis that viral infection, especially HSV-1, is associated with AD risk.
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Affiliation(s)
- Marlene Tejeda
- Departments of Medicine Biomedical GeneticsBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
| | - John Farrell
- Departments of Medicine Biomedical GeneticsBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
| | - Congcong Zhu
- Departments of Medicine Biomedical GeneticsBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
| | - Lee Wetzler
- Departments of Medicine Infectious DiseaseBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Departments of Medicine MicrobiologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
| | - Kathryn L. Lunetta
- Departments of BiostatisticsBoston University School of Public HealthBostonMassachusettsUSA
| | - William S. Bush
- Department of Population & Quantitative Health SciencesCleveland Institute for Computational BiologyCase Western Reserve University School of MedicineClevelandOhioUSA
| | - Eden R. Martin
- John P. Hussman Institute for Human Genomics and Dr John T. MacDonald Foundation Department of Human GeneticsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
| | - Li‐San Wang
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory MedicineUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
| | - Gerard D. Schellenberg
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory MedicineUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
| | - Margaret A. Pericak‐Vance
- John P. Hussman Institute for Human Genomics and Dr John T. MacDonald Foundation Department of Human GeneticsMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
| | - Jonathan L. Haines
- Department of Population & Quantitative Health SciencesCleveland Institute for Computational BiologyCase Western Reserve University School of MedicineClevelandOhioUSA
| | - Lindsay A. Farrer
- Departments of Medicine Biomedical GeneticsBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Departments of BiostatisticsBoston University School of Public HealthBostonMassachusettsUSA
- Departments of Medicine Neurologyand Boston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- OphthalmologyBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
- Departments of EpidemiologyBoston University School of Public HealthBostonMassachusettsUSA
| | - Richard Sherva
- Departments of Medicine Biomedical GeneticsBoston University Chobanian & Avedisian School of MedicineBostonMassachusettsUSA
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9
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Li D, Farrell JJ, Mez J, Martin ER, Bush WS, Ruiz A, Boada M, de Rojas I, Mayeux R, Haines JL, Vance MAP, Wang LS, Schellenberg GD, Lunetta KL, Farrer LA. Novel loci for Alzheimer's disease identified by a genome-wide association study in Ashkenazi Jews. Alzheimers Dement 2023; 19:5550-5562. [PMID: 37260021 PMCID: PMC10689571 DOI: 10.1002/alz.13117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 03/29/2023] [Accepted: 04/11/2023] [Indexed: 06/02/2023]
Abstract
INTRODUCTION Most Alzheimer's disease (AD) loci have been discovered in individuals with European ancestry (EA). METHODS We applied principal component analysis using Gaussian mixture models and an Ashkenazi Jewish (AJ) reference genome-wide association study (GWAS) data set to identify Ashkenazi Jews ascertained in GWAS (n = 42,682), whole genome sequencing (WGS, n = 16,815), and whole exome sequencing (WES, n = 20,504) data sets. The association of AD was tested genome wide (GW) in the GWAS and WGS data sets and exome wide (EW) in all three data sets (EW). Gene-based analyses were performed using aggregated rare variants. RESULTS In addition to apolipoprotein E (APOE), GW analyses (1355 cases and 1661 controls) revealed associations with TREM2 R47H (p = 9.66 × 10-9 ), rs541586606 near RAB3B (p = 5.01 × 10-8 ), and rs760573036 between SPOCK3 and ANXA10 (p = 6.32 × 10-8 ). In EW analyses (1504 cases and 2047 controls), study-wide significant association was observed with rs1003710 near SMAP2 (p = 1.91 × 10-7 ). A significant gene-based association was identified with GIPR (p = 7.34 × 10-7 ). DISCUSSION Our results highlight the efficacy of founder populations for AD genetic studies.
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Affiliation(s)
- Donghe Li
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
| | - John J Farrell
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
| | - Jesse Mez
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
| | - Eden R. Martin
- Dr. John T. Macdonald Foundation, University of Miami, Miami, FL 33136, USA
- Department of Human Genetics, University of Miami, Miami, FL 33136, USA
| | - William S. Bush
- Department of Population & Quantitative Health Science and Cleveland Institute for Computational Biology, Case Western Reserve University, 10900 Euclid Ave, Cleveland, OH 44106, USA
| | - Agustin Ruiz
- Research Center and Memory Clinic, ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Mercè Boada
- Research Center and Memory Clinic, ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Itziar de Rojas
- Research Center and Memory Clinic, ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Richard Mayeux
- Taub Institute on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center Department of Neurology, Columbia University, 710 West 168th Street, New York, NY 10032, USA
| | - Jonathan L. Haines
- Department of Population & Quantitative Health Science and Cleveland Institute for Computational Biology, Case Western Reserve University, 10900 Euclid Ave, Cleveland, OH 44106, USA
| | - Margaret A. Pericak Vance
- Dr. John T. Macdonald Foundation, University of Miami, Miami, FL 33136, USA
- Department of Human Genetics, University of Miami, Miami, FL 33136, USA
- Department of Neurology, University of Miami, Miami, FL 33136, USA
| | - Li-San Wang
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA
| | - Gerard D. Schellenberg
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA
| | - Kathryn L. Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Lindsay A. Farrer
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
- Department of Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118, USA
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10
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Wang A, Shen J, Rodriguez AA, Saunders EJ, Chen F, Janivara R, Darst BF, Sheng X, Xu Y, Chou AJ, Benlloch S, Dadaev T, Brook MN, Plym A, Sahimi A, Hoffman TJ, Takahashi A, Matsuda K, Momozawa Y, Fujita M, Laisk T, Figuerêdo J, Muir K, Ito S, Liu X, Uchio Y, Kubo M, Kamatani Y, Lophatananon A, Wan P, Andrews C, Lori A, Choudhury PP, Schleutker J, Tammela TL, Sipeky C, Auvinen A, Giles GG, Southey MC, MacInnis RJ, Cybulski C, Wokolorczyk D, Lubinski J, Rentsch CT, Cho K, Mcmahon BH, Neal DE, Donovan JL, Hamdy FC, Martin RM, Nordestgaard BG, Nielsen SF, Weischer M, Bojesen SE, Røder A, Stroomberg HV, Batra J, Chambers S, Horvath L, Clements JA, Tilly W, Risbridger GP, Gronberg H, Aly M, Szulkin R, Eklund M, Nordstrom T, Pashayan N, Dunning AM, Ghoussaini M, Travis RC, Key TJ, Riboli E, Park JY, Sellers TA, Lin HY, Albanes D, Weinstein S, Cook MB, Mucci LA, Giovannucci E, Lindstrom S, Kraft P, Hunter DJ, Penney KL, Turman C, Tangen CM, Goodman PJ, Thompson IM, Hamilton RJ, Fleshner NE, Finelli A, Parent MÉ, Stanford JL, Ostrander EA, Koutros S, Beane Freeman LE, Stampfer M, Wolk A, Håkansson N, Andriole GL, Hoover RN, Machiela MJ, Sørensen KD, Borre M, Blot WJ, Zheng W, Yeboah ED, Mensah JE, Lu YJ, Zhang HW, Feng N, Mao X, Wu Y, Zhao SC, Sun Z, Thibodeau SN, McDonnell SK, Schaid DJ, West CM, Barnett G, Maier C, Schnoeller T, Luedeke M, Kibel AS, Drake BF, Cussenot O, Cancel-Tassin G, Menegaux F, Truong T, Koudou YA, John EM, Grindedal EM, Maehle L, Khaw KT, Ingles SA, Stern MC, Vega A, Gómez-Caamaño A, Fachal L, Rosenstein BS, Kerns SL, Ostrer H, Teixeira MR, Paulo P, Brandão A, Watya S, Lubwama A, Bensen JT, Butler EN, Mohler JL, Taylor JA, Kogevinas M, Dierssen-Sotos T, Castaño-Vinyals G, Cannon-Albright L, Teerlink CC, Huff CD, Pilie P, Yu Y, Bohlender RJ, Gu J, Strom SS, Multigner L, Blanchet P, Brureau L, Kaneva R, Slavov C, Mitev V, Leach RJ, Brenner H, Chen X, Holleczek B, Schöttker B, Klein EA, Hsing AW, Kittles RA, Murphy AB, Logothetis CJ, Kim J, Neuhausen SL, Steele L, Ding YC, Isaacs WB, Nemesure B, Hennis AJ, Carpten J, Pandha H, Michael A, Ruyck KD, Meerleer GD, Ost P, Xu J, Razack A, Lim J, Teo SH, Newcomb LF, Lin DW, Fowke JH, Neslund-Dudas CM, Rybicki BA, Gamulin M, Lessel D, Kulis T, Usmani N, Abraham A, Singhal S, Parliament M, Claessens F, Joniau S, den Broeck TV, Gago-Dominguez M, Castelao JE, Martinez ME, Larkin S, Townsend PA, Aukim-Hastie C, Bush WS, Aldrich MC, Crawford DC, Srivastava S, Cullen J, Petrovics G, Casey G, Wang Y, Tettey Y, Lachance J, Tang W, Biritwum RB, Adjei AA, Tay E, Truelove A, Niwa S, Yamoah K, Govindasami K, Chokkalingam AP, Keaton JM, Hellwege JN, Clark PE, Jalloh M, Gueye SM, Niang L, Ogunbiyi O, Shittu O, Amodu O, Adebiyi AO, Aisuodionoe-Shadrach OI, Ajibola HO, Jamda MA, Oluwole OP, Nwegbu M, Adusei B, Mante S, Darkwa-Abrahams A, Diop H, Gundell SM, Roobol MJ, Jenster G, van Schaik RH, Hu JJ, Sanderson M, Kachuri L, Varma R, McKean-Cowdin R, Torres M, Preuss MH, Loos RJ, Zawistowski M, Zöllner S, Lu Z, Van Den Eeden SK, Easton DF, Ambs S, Edwards TL, Mägi R, Rebbeck TR, Fritsche L, Chanock SJ, Berndt SI, Wiklund F, Nakagawa H, Witte JS, Gaziano JM, Justice AC, Mancuso N, Terao C, Eeles RA, Kote-Jarai Z, Madduri RK, Conti DV, Haiman CA. Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants. Nat Genet 2023; 55:2065-2074. [PMID: 37945903 PMCID: PMC10841479 DOI: 10.1038/s41588-023-01534-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Accepted: 09/15/2023] [Indexed: 11/12/2023]
Abstract
The transferability and clinical value of genetic risk scores (GRSs) across populations remain limited due to an imbalance in genetic studies across ancestrally diverse populations. Here we conducted a multi-ancestry genome-wide association study of 156,319 prostate cancer cases and 788,443 controls of European, African, Asian and Hispanic men, reflecting a 57% increase in the number of non-European cases over previous prostate cancer genome-wide association studies. We identified 187 novel risk variants for prostate cancer, increasing the total number of risk variants to 451. An externally replicated multi-ancestry GRS was associated with risk that ranged from 1.8 (per standard deviation) in African ancestry men to 2.2 in European ancestry men. The GRS was associated with a greater risk of aggressive versus non-aggressive disease in men of African ancestry (P = 0.03). Our study presents novel prostate cancer susceptibility loci and a GRS with effective risk stratification across ancestry groups.
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Affiliation(s)
- Anqi Wang
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jiayi Shen
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | | | - Fei Chen
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Rohini Janivara
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA
| | - Burcu F. Darst
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Xin Sheng
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Yili Xu
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Alisha J. Chou
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sara Benlloch
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology,University of Cambridge, Cambridge, UK
| | | | | | - Anna Plym
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
- Urology Division, Department of Surgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Ali Sahimi
- Department of Population and Public Health Sciences, Keck School of Medicine,University of Southern California, Los Angeles, CA, USA
| | - Thomas J. Hoffman
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA
| | - Atushi Takahashi
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Genomic Medicine, National Cerebral and Cardiovascular Center Research Institute, Suita, Japan
| | - Koichi Matsuda
- Department of Computational Biology and Medical Sciences, Laboratory of Clinical Genome Sequencing,Graduate school of Frontier Sciences,The University of Tokyo, Tokyo, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, RIKEN Center of Integrative Medical Sciences, Yokohama, Japan
| | - Masashi Fujita
- Laboratory for Cancer Genomics, RIKEN Center of Integrative Medical Sciences, Yokohama, Japan
| | - Triin Laisk
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Jéssica Figuerêdo
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Kenneth Muir
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Warwick Medical School, University of Warwick, Coventry, UK
| | - Shuji Ito
- Department of Orthopaedics, Shimane University, Izumo, Shimane, Japan
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Xiaoxi Liu
- Laboratory for Statistical and Translational Genetics, Center for Integrative Medical Sciences, RIKEN, Yokohama, Japan
| | - The Biobank Japan Project
- Corresponding Author: Christopher A. Haiman, Harlyne J. Norris Cancer Research Tower, USC Norris Comprehensive Cancer Center, 1450 Biggy Street, Rm 1504, Los Angeles, CA 90033 or
| | - Yuji Uchio
- Department of Orthopaedics, Shimane University, Izumo, Shimane, Japan
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical and Translational Genetics, Center for Integrative Medical Sciences, RIKEN, Yokohama, Japan
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester, UK
| | - Peggy Wan
- Department of Population and Public Health Sciences, Keck School of Medicine,University of Southern California, Los Angeles, CA, USA
| | - Caroline Andrews
- Harvard TH Chan School of Public Health and Division of Population Sciences,Dana Farber Cancer Institute, Boston, MA, USA
| | - Adriana Lori
- Department of Population Science, American Cancer Society, Kennesaw, GA, USA
| | | | - Johanna Schleutker
- Institute of Biomedicine, University of Turku, Turku, Finland
- Department of Medical Genetics, Genomics, Laboratory Division, Turku University Hospital, Turku, Finland
| | | | - Csilla Sipeky
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Anssi Auvinen
- Unit of Health Sciences, Faculty of Social Sciences, Tampere University, Tampere, Finland
| | - Graham G. Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health,The University of Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Melissa C. Southey
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Robert J. MacInnis
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health,The University of Melbourne, Victoria, Australia
| | - Cezary Cybulski
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Dominika Wokolorczyk
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Jan Lubinski
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Christopher T. Rentsch
- Yale School of Medicine, New Haven, CT, USA
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
- VA Connecticut Healthcare System, West Haven, CT, USA
| | - Kelly Cho
- Division of Aging, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- VA Boston Healthcare System, Boston, MA, USA
| | | | - David E. Neal
- Nuffield Department of Surgical Sciences, University of Oxford, John Radcliffe Hospital, Headington, Oxford, UK
- University of Cambridge, Department of Oncology, Addenbrooke’s Hospital, Cambridge, UK
- Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Cambridge, UK
| | - Jenny L. Donovan
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Freddie C. Hamdy
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
- Faculty of Medical Science, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - Richard M. Martin
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre at University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
- Medical Research Council (MRC) Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Borge G. Nordestgaard
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Copenhagen, Denmark
| | - Sune F. Nielsen
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Copenhagen, Denmark
| | - Maren Weischer
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Copenhagen, Denmark
| | - Stig E. Bojesen
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Copenhagen, Denmark
| | - Andreas Røder
- Copenhagen Prostate Cancer Center, Department of Urology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Hein V. Stroomberg
- Copenhagen Prostate Cancer Center, Department of Urology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Jyotsna Batra
- Australian Prostate Cancer Research Centre-Qld, Institute of Health and Biomedical Innovation and School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia
- Translational Research Institute, Brisbane, Queensland, Australia
| | | | - Lisa Horvath
- Chris O’Brien Lifehouse (COBLH), Camperdown, Sydney, NSW, Australia, Sydney, Australia
- Garvan Institute of Medical Research, Sydney, Australia
| | - Judith A. Clements
- Australian Prostate Cancer Research Centre-Qld, Institute of Health and Biomedical Innovation and School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia
- Translational Research Institute, Brisbane, Queensland, Australia
| | - Wayne Tilly
- Dame Roma Mitchell Cancer Research Laboratories, University of Adelaide, Adelaide, Australia
| | - Gail P. Risbridger
- Department of Anatomy and Developmental Biology, Biomedicine Discovery Institute, Monash University, Melbourne, Victoria, Australia
- Prostate Cancer Translational Research Program, Cancer Research Division, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Henrik Gronberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Markus Aly
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
- Department of Molecular Medicine and Surgery, Karolinska Institutet, and Department of Urology, Karolinska University Hospital, Solna, Stockholm, Sweden
- Department of Urology, Karolinska University Hospital, Stockholm, Sweden
| | - Robert Szulkin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
- SDS Life Sciences, Stockholm, Sweden
| | - Martin Eklund
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Tobias Nordstrom
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
- Department of Clinical Sciences at Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden
| | - Nora Pashayan
- University College London, Department of Applied Health Research, London, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Strangeways Laboratory, Cambridge, UK
- Department of Applied Health Research, University College London, London, UK
| | - Alison M. Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Strangeways Laboratory, Cambridge, UK
| | - Maya Ghoussaini
- Open Targets, Wellcome Sanger Institute, Hinxton, Saffron Walden, Hinxton, UK
| | - Ruth C. Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Tim J. Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Jong Y. Park
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Thomas A. Sellers
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Hui-Yi Lin
- School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Stephanie Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Michael B. Cook
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH,, Bethesda, MD, USA
| | - Lorelei A. Mucci
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Edward Giovannucci
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Sara Lindstrom
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - David J. Hunter
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Kathryn L. Penney
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital/Harvard Medical School, Boston, MA, USA
| | - Constance Turman
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Catherine M. Tangen
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Phyllis J. Goodman
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Ian M. Thompson
- CHRISTUS Santa Rosa Hospital – Medical Center, San Antonio, TX, USA
| | - Robert J. Hamilton
- Dept. of Surgical Oncology, Princess Margaret Cancer Centre, Toronto, Canada
- Dept. of Surgery (Urology), University of Toronto, Toronto, Canada
| | - Neil E. Fleshner
- Dept. of Surgical Oncology, Princess Margaret Cancer Centre, Toronto, Canada
| | - Antonio Finelli
- Division of Urology, Princess Margaret Cancer Centre, Toronto, Canada
| | - Marie-Élise Parent
- Epidemiology and Biostatistics Unit, Centre Armand-Frappier Santé Biotechnologie, Laval, QC, Canada
| | - Janet L. Stanford
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Elaine A. Ostrander
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stella Koutros
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Laura E. Beane Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Meir Stampfer
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital/Harvard Medical School, Boston, MA, USA
| | - Alicja Wolk
- Division of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Niclas Håkansson
- Division of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Gerald L. Andriole
- Brady Urological Institute in National Capital Region, Johns Hopkins University, Baltimore, MD, USA
| | - Robert N. Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Mitchell J. Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Karina Dalsgaard Sørensen
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Michael Borre
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Urology, Aarhus University Hospital, Aarhus, Denmark
| | - William J. Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- International Epidemiology Institute, Rockville, MD, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - James E. Mensah
- University of Ghana Medical School, Accra, Ghana
- Korle Bu Teaching Hospital, Accra, Ghana
| | - Yong-Jie Lu
- Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, John Vane Science Centre, London, UK
| | | | - Ninghan Feng
- Wuxi Second Hospital, Nanjing Medical University, Wuxi, Jiangzhu Province, China
| | - Xueying Mao
- Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, John Vane Science Centre, London, UK
| | - Yudong Wu
- Department of Urology, First Affiliated Hospital, The Academy of Medical Sciences, Zhengzhou University, Zhengzhou, China
| | - Shan-Chao Zhao
- Department of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zan Sun
- The People’s Hospital of Liaoning Proviouce, The People’s Hospital of China Medical University, Shenyang, China, Shenyang, China
| | - Stephen N. Thibodeau
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | | | - Daniel J. Schaid
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Catharine M.L. West
- Division of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Radiotherapy Related Research, The Christie Hospital NHS Foundation Trust, Manchester, UK
| | - Gill Barnett
- University of Cambridge Department of Oncology, Oncology Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | | | | | | | - Adam S. Kibel
- Division of Urologic Surgery, Brigham and Womens Hospital, Boston, MA, USA
| | | | - Olivier Cussenot
- GRC 5 Predictive Onco-Urology, Sorbonne Université, Paris, France
- CeRePP, Paris, France
| | | | - Florence Menegaux
- Exposome and Heredity, CESP (UMR 1018), Paris-Saclay Medical School, Paris-Saclay University, Inserm, Gustave Roussy, Villejuif, France
| | - Thérèse Truong
- Exposome and Heredity, CESP (UMR 1018), Paris-Saclay Medical School, Paris-Saclay University, Inserm, Gustave Roussy, Villejuif, France
| | - Yves Akoli Koudou
- Cancer & Environment Group, Center for Research in Epidemiology and Population Health (CESP), INSERM, University Paris-Sud, University Paris-Saclay, Villejuif Cédex, France
| | - Esther M. John
- Department of Medicine, Stanford Cancer Institute,Stanford University School of Medicine, Stanford, CA, USA
| | | | - Lovise Maehle
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Kay-Tee Khaw
- Clinical Gerontology Unit, University of Cambridge, Cambridge, UK
| | - Sue A. Ingles
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Mariana C Stern
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Ana Vega
- Fundación Pública Galega Medicina Xenómica, Santiago De Compostela, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago De Compostela, Spain
- Centro de Investigación en Red de Enfermedades Raras (CIBERER), Spain
| | - Antonio Gómez-Caamaño
- Department of Radiation Oncology, Complexo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
| | - Laura Fachal
- Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago De Compostela, Spain
- Centro de Investigación en Red de Enfermedades Raras (CIBERER), Spain
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, UK
- Fundación Pública Galega Medicina Xenómica, Santiago de Compostela, Spain
| | - Barry S. Rosenstein
- Department of Radiation Oncology and Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sarah L. Kerns
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Harry Ostrer
- Professor of Pathology and Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Manuel R. Teixeira
- Department of Laboratory Genetics, Portuguese Oncology Institute of Porto (IPO Porto) / Porto Comprehensive Cancer Center, Porto, Portugal
- Cancer Genetics Group, IPO Porto Research Center (CI-IPOP) / RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto) / Porto Comprehensive Cancer Center, Porto, Portugal
- School of Medicine and Biomedical Sciences (ICBAS), University of Porto, Porto, Portugal
| | - Paula Paulo
- Cancer Genetics Group, IPO Porto Research Center (CI-IPOP) / RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto) / Porto Comprehensive Cancer Center, Porto, Portugal
| | - Andreia Brandão
- Cancer Genetics Group, IPO Porto Research Center (CI-IPOP) / RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto) / Porto Comprehensive Cancer Center, Porto, Portugal
| | | | | | - Jeannette T. Bensen
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ebonee N. Butler
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - James L. Mohler
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Jack A. Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
- Laboratory of Molecular Carcinogenesis, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Manolis Kogevinas
- ISGlobal, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Trinidad Dierssen-Sotos
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- University of Cantabria-IDIVAL, Santander, Spain
| | - Gemma Castaño-Vinyals
- ISGlobal, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Lisa Cannon-Albright
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA
| | - Craig C. Teerlink
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA
| | - Chad D. Huff
- Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Patrick Pilie
- Department of Genitourinary Medical Oncology, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Yao Yu
- Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Ryan J. Bohlender
- Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Jian Gu
- Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Sara S. Strom
- The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Luc Multigner
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail), Rennes, France
| | - Pascal Blanchet
- CHU de Pointe-à-Pitre, Univ Antilles, Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail), Pointe-à-Pitre, France
| | - Laurent Brureau
- CHU de Pointe-à-Pitre, Univ Antilles, Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail), Pointe-à-Pitre, France
| | - Radka Kaneva
- Molecular Medicine Center, Department of Medical Chemistry and Biochemistry, Medical University of Sofia, Sofia, Bulgaria
| | - Chavdar Slavov
- Department of Urology and Alexandrovska University Hospital, Medical University of Sofia, Sofia, Bulgaria
| | - Vanio Mitev
- Molecular Medicine Center, Department of Medical Chemistry and Biochemistry, Medical University of Sofia, Sofia, Bulgaria
| | - Robin J. Leach
- Department of Cell Systems and Anatomy and Mays Cancer Center, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Xuechen Chen
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Eric A. Klein
- Cleveland Clinic Lerner Research Institute, Cleveland, OH, USA
- Glickman Urological & Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Ann W. Hsing
- Department of Medicine and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Adam B. Murphy
- Department of Urology, Northwestern University, Chicago, IL, USA
| | - Christopher J. Logothetis
- The University of Texas M. D. Anderson Cancer Center, Department of Genitourinary Medical Oncology, Houston, TX, USA
| | - Jeri Kim
- The University of Texas M. D. Anderson Cancer Center, Department of Genitourinary Medical Oncology, Houston, TX, USA
| | - Susan L. Neuhausen
- Department of Population Sciences, Beckman Research Institute of the City of Hope, Duarte, CA, USA
| | - Linda Steele
- Department of Population Sciences, Beckman Research Institute of the City of Hope, Duarte, CA, USA
| | - Yuan Chun Ding
- Department of Population Sciences, Beckman Research Institute of the City of Hope, Duarte, CA, USA
| | - William B. Isaacs
- James Buchanan Brady Urological Institute, Johns Hopkins Hospital and Medical Institution, Baltimore, MD, USA
| | - Barbara Nemesure
- Department of Family, Population and Preventive Medicine, Stony Brook University, Stony Brook, NY, USA
| | - Anselm J.M. Hennis
- Department of Family, Population and Preventive Medicine, Stony Brook University, Stony Brook, NY, USA
- Chronic Disease Research Centre and Faculty of Medical Sciences, University of the West Indies, Bridgetown, Barbados
| | - John Carpten
- Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | | | - Kim De Ruyck
- Ghent University, Faculty of Medicine and Health Sciences, Basic Medical Sciences, Ghent, Belgium
| | - Gert De Meerleer
- Ghent University Hospital, Department of Radiotherapy, Ghent, Belgium
| | - Piet Ost
- Ghent University Hospital, Department of Radiotherapy, Ghent, Belgium
| | - Jianfeng Xu
- Program for Personalized Cancer Care and Department of Surgery, NorthShore University HealthSystem, Evanston, IL, USA
| | - Azad Razack
- Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Jasmine Lim
- Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Soo-Hwang Teo
- Cancer Research Malaysia (CRM), Outpatient Centre, Subang Jaya Medical Centre, Subang Jaya, Selangor, Malaysia
| | - Lisa F. Newcomb
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Urology, University of Washington, Seattle, WA, USA
| | - Daniel W. Lin
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Urology, University of Washington, Seattle, WA, USA
| | - Jay H. Fowke
- Department of Preventive Medicine, Division of Epidemiology,The University of Tennessee Health Science Center, Memphis, TN, USA
| | | | - Benjamin A. Rybicki
- Department of Public Health Sciences, Henry Ford Hospital, Detroit, Detroit, MI, USA
| | - Marija Gamulin
- Division of Medical Oncology, Urogenital Unit, Department of Oncology, University Hospital Centre Zagreb, Zagreb, Croatia
| | - Davor Lessel
- Institute of Human Genetics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Tomislav Kulis
- Department of Urology, University Hospital Center Zagreb, University of Zagreb School of Medicine, Zagreb, Croatia
| | - Nawaid Usmani
- Department of Oncology, Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada
- Division of Radiation Oncology, Cross Cancer Institute, Edmonton, Alberta, Canada
| | - Aswin Abraham
- Department of Oncology, Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada
- Division of Radiation Oncology, Cross Cancer Institute, Edmonton, Alberta, Canada
| | - Sandeep Singhal
- Department of Oncology, Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada
| | - Matthew Parliament
- Department of Oncology, Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada
- Division of Radiation Oncology, Cross Cancer Institute, Edmonton, Alberta, Canada
| | - Frank Claessens
- Molecular Endocrinology Laboratory, Department of Cellular and Molecular Medicine, Leuven, Belgium
| | - Steven Joniau
- Department of Urology, University Hospitals Leuven, Leuven, Belgium
| | - Thomas Van den Broeck
- Molecular Endocrinology Laboratory, Department of Cellular and Molecular Medicine, Leuven, Belgium
- Department of Urology, University Hospitals Leuven, Leuven, Belgium
| | - Manuela Gago-Dominguez
- Genomic Medicine Group, Galician Foundation of Genomic Medicine, Instituto de Investigacion Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, Servicio Galego de Saúde, SERGAS, Santiago de Compostela, Spain
- University of California San Diego, Moores Cancer Center, La Jolla, CA, USA
| | - Jose Esteban Castelao
- Genetic Oncology Unit, CHUVI Hospital, Complexo Hospitalario Universitario de Vigo, Instituto de Investigación Biomédica Galicia Sur (IISGS), Vigo (Pontevedra), Spain
| | - Maria Elena Martinez
- University of California San Diego, Moores Cancer Center, Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA
| | - Samantha Larkin
- Scientific Education Support, Thames Ditton, Surrey, Formerly Cancer Sciences, University of Southampton, Southampton, UK
| | - Paul A. Townsend
- School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey, Surrey, UK
| | | | - William S. Bush
- Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
| | - Melinda C. Aldrich
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Dana C. Crawford
- Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
| | - Shiv Srivastava
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC, USA
| | - Jennifer Cullen
- Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
- Department of Surgery, Center for Prostate Disease Research,Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Gyorgy Petrovics
- Department of Surgery, Center for Prostate Disease Research,Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Graham Casey
- Department of Public Health Science, Center for Public Health Genomics,University of Virginia, Charlottesville, VA, USA
| | - Ying Wang
- Department of Population Science, American Cancer Society, Kennesaw, GA, USA
| | - Yao Tettey
- Korle Bu Teaching Hospital, Accra, Ghana
- Department of Pathology, University of Ghana, Accra, Ghana
| | - Joseph Lachance
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA
| | - Wei Tang
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | | | - Andrew A. Adjei
- Department of Pathology, University of Ghana Medical School, Accra, Ghana
| | - Evelyn Tay
- Korle Bu Teaching Hospital, Accra, Ghana
| | | | | | - Kosj Yamoah
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
- Department of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, USA
| | | | | | - Jacob M. Keaton
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jacklyn N. Hellwege
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Division of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Nashville, TN, USA
| | - Peter E. Clark
- Atrium Health/Levine Cancer Institute, Charlotte, NC, USA
| | | | | | | | - Olufemi Ogunbiyi
- Department of Pathology, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Olayiwola Shittu
- Department of Surgery, College of Medicine, University of Ibadan and Univerity College Hospital, Ibadan, Nigeria
| | - Olukemi Amodu
- Institute of Child Health, College of Medicine, University of Ibadan and University College Hospital, Ibadan, Nigeria
| | - Akindele O. Adebiyi
- Clinical Epidemiology Unit, Department of Community Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Oseremen I. Aisuodionoe-Shadrach
- College of Health Sciences, University of Abuja, University of Abuja Teaching Hospital and Cancer Science Center, Abuja, Nigeria
| | - Hafees O. Ajibola
- College of Health Sciences, University of Abuja, University of Abuja Teaching Hospital and Cancer Science Center, Abuja, Nigeria
| | - Mustapha A. Jamda
- College of Health Sciences, University of Abuja, University of Abuja Teaching Hospital and Cancer Science Center, Abuja, Nigeria
| | - Olabode P. Oluwole
- College of Health Sciences, University of Abuja, University of Abuja Teaching Hospital and Cancer Science Center, Abuja, Nigeria
| | - Maxwell Nwegbu
- College of Health Sciences, University of Abuja, University of Abuja Teaching Hospital and Cancer Science Center, Abuja, Nigeria
| | | | | | | | - Halimatou Diop
- Laboratoires Bacteriologie et Virologie, Hôpital Aristide Le Dantec, Dakar, Senegal
| | - Susan M. Gundell
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Monique J. Roobol
- Department of Urology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Guido Jenster
- Department of Urology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Ron H.N. van Schaik
- Department of Clinical Chemistry, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Jennifer J. Hu
- The University of Miami School of Medicine, Sylvester Comprehensive Cancer Center, Miami, FL, USA
| | - Maureen Sanderson
- Department of Family and Community Medicine, Meharry Medical College, Nashville, TN, USA
| | - Linda Kachuri
- Department of Epidemiology and Population Health, Stanford Cancer Institute, Stanford, CA, USA
| | - Rohit Varma
- Southern California Eye Institute, CHA Hollywood Presbyterian Medical Center, Los Angeles, CA, USA
| | - Roberta McKean-Cowdin
- Department of Population and Public Health Sciences, Keck School of Medicine,University of Southern California, Los Angeles, CA, USA
| | - Mina Torres
- Southern California Eye Institute, CHA Hollywood Presbyterian Medical Center, Los Angeles, CA, USA
| | - Michael H. Preuss
- The Charles Bronfman Institute for Personalized Medicine,Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ruth J.F. Loos
- The Charles Bronfman Institute for Personalized Medicine,Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Matthew Zawistowski
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Sebastian Zöllner
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Zeyun Lu
- Department of Population and Public Health Sciences, Keck School of Medicine,University of Southern California, Los Angeles, CA, USA
| | | | - Douglas F. Easton
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology,, Cambridge, UK
| | - Stefan Ambs
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Todd L. Edwards
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Reedik Mägi
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Timothy R. Rebbeck
- Harvard TH Chan School of Public Health and Division of Population Sciences, Dana Farber Cancer Institute, Boston, MA, USA
| | - Lars Fritsche
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Fredrik Wiklund
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Hidewaki Nakagawa
- Laboratory for Cancer Genomics, RIKEN Center of Integrative Medical Sciences, Yokohama, Japan
| | - John S. Witte
- Department of Epidemiology and Population Health, Stanford Cancer Institute, Stanford, CA, USA
- Departments of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - J. Michael Gaziano
- Division of Aging, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- VA Boston Healthcare System, Boston, MA, USA
| | | | - Nick Mancuso
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, Center for Integrative Medical Sciences, RIKEN, Yokohama, Japan
- Clinical Research Center, Shizuoka General Hospital, Shizuoka, Japan
- The Department of Applied Genetics, School of Pharmaceutical Sciences, Shizuoka, Japan
| | - Rosalind A. Eeles
- The Institute of Cancer Research, London, UK
- Royal Marsden NHS Foundation Trust, London, UK
| | | | | | - David V. Conti
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Christopher A. Haiman
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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11
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Bai H, Naj AC, Benchek P, Dumitrescu L, Hohman T, Hamilton-Nelson K, Kallianpur AR, Griswold AJ, Vardarajan B, Martin ER, Beecham GW, Below JE, Schellenberg G, Mayeux R, Farrer L, Pericak-Vance MA, Haines JL, Bush WS. A haptoglobin (HP) structural variant alters the effect of APOE alleles on Alzheimer's disease. Alzheimers Dement 2023; 19:4886-4895. [PMID: 37051669 DOI: 10.1002/alz.13050] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 01/19/2023] [Accepted: 01/20/2023] [Indexed: 04/14/2023]
Abstract
BACKGROUND Haptoglobin (HP) is an antioxidant of apolipoprotein E (APOE), and previous reports have shown HP binds with APOE and amyloid beta (Aβ) to aid its clearance. A common structural variant of the HP gene distinguishes it into two alleles: HP1 and HP2. METHODS HP genotypes were imputed in 29 cohorts from the Alzheimer's Disease Genetics Consortium (N = 20,512). Associations between the HP polymorphism and Alzheimer's disease (AD) risk and age of onset through APOE interactions were investigated using regression models. RESULTS The HP polymorphism significantly impacts AD risk in European-descent individuals (and in meta-analysis with African-descent individuals) by modifying both the protective effect of APOE ε2 and the detrimental effect of APOE ε4. The effect is particularly significant among APOE ε4 carriers. DISCUSSION The effect modification of APOE by HP suggests adjustment and/or stratification by HP genotype is warranted when APOE risk is considered. Our findings also provided directions for further investigations on potential mechanisms behind this association.
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Affiliation(s)
- Haimeng Bai
- Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, Ohio, USA
- Systems Biology and Bioinformatics, Department of Nutrition, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Adam C Naj
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Penelope Benchek
- Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, Ohio, USA
- Department of Population & Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Logan Dumitrescu
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Timothy Hohman
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kara Hamilton-Nelson
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, Florida, USA
| | - Asha R Kallianpur
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, Ohio, USA
- Department of Molecular Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Anthony J Griswold
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, Florida, USA
| | - Badri Vardarajan
- Department of Neurology, The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, New York, USA
| | - Eden R Martin
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, Florida, USA
| | - Gary W Beecham
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, Florida, USA
| | - Jennifer E Below
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Gerard Schellenberg
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Richard Mayeux
- Department of Neurology, The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, New York, USA
| | - Lindsay Farrer
- Departments of Medicine (Biomedical Genetics), Neurology, Ophthalmology, Biostatistics, and Epidemiology, Boston University Schools of Medicine and Public Health, Boston, Massachusetts, USA
| | | | - Jonathan L Haines
- Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, Ohio, USA
- Department of Population & Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - William S Bush
- Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, Ohio, USA
- Department of Population & Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
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Zhang X, Gomez L, Below J, Naj A, Martin E, Kunkle B, Bush WS. An X Chromosome Transcriptome Wide Association Study Implicates ARMCX6 in Alzheimer's Disease. bioRxiv 2023:2023.06.06.543877. [PMID: 37333116 PMCID: PMC10274627 DOI: 10.1101/2023.06.06.543877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Background The X chromosome is often omitted in disease association studies despite containing thousands of genes which may provide insight into well-known sex differences in the risk of Alzheimer's Disease. Objective To model the expression of X chromosome genes and evaluate their impact on Alzheimer's Disease risk in a sex-stratified manner. Methods Using elastic net, we evaluated multiple modeling strategies in a set of 175 whole blood samples and 126 brain cortex samples, with whole genome sequencing and RNA-seq data. SNPs (MAF>0.05) within the cis-regulatory window were used to train tissue-specific models of each gene. We apply the best models in both tissues to sex-stratified summary statistics from a meta-analysis of Alzheimer's disease Genetics Consortium (ADGC) studies to identify AD-related genes on the X chromosome. Results Across different model parameters, sample sex, and tissue types, we modeled the expression of 217 genes (95 genes in blood and 135 genes in brain cortex). The average model R2 was 0.12 (range from 0.03 to 0.34). We also compared sex-stratified and sex-combined models on the X chromosome. We further investigated genes that escaped X chromosome inactivation (XCI) to determine if their genetic regulation patterns were distinct. We found ten genes associated with AD at p 0.05, with only ARMCX6 in female brain cortex (p = 0.008) nearing the significance threshold after adjusting for multiple testing (α = 0.002). Conclusions We optimized the expression prediction of X chromosome genes, applied these models to sex-stratified AD GWAS summary statistics, and identified one putative AD risk gene, ARMCX6.
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Affiliation(s)
- Xueyi Zhang
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, 44106, USA
| | - Lissette Gomez
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, 33136, USA
| | - Jennifer Below
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, 37235, USA
| | - Adam Naj
- Department of Biostatistics, Epidemiology, and Informatics, Penn Neurodegeneration Genomics Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, 19104, USA; Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, 19104, USA
| | - Eden Martin
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, 33176, USA
| | - Brian Kunkle
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, 33176, USA
| | - William S Bush
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, 44106, USA
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Lee WP, Choi SH, Shea MG, Cheng PL, Dombroski BA, Pitsillides AN, Heard-Costa NL, Wang H, Bulekova K, Kuzma AB, Leung YY, Farrell JJ, Lin H, Naj A, Blue EE, Nusetor F, Wang D, Boerwinkle E, Bush WS, Zhang X, De Jager PL, Dupuis J, Farrer LA, Fornage M, Martin E, Pericak-Vance M, Seshadri S, Wijsman EM, Wang LS, Schellenberg GD, Destefano AL, Haines JL, Peloso GM. Association of Common and Rare Variants with Alzheimer's Disease in over 13,000 Diverse Individuals with Whole-Genome Sequencing from the Alzheimer's Disease Sequencing Project. medRxiv 2023:2023.09.01.23294953. [PMID: 37693521 PMCID: PMC10491367 DOI: 10.1101/2023.09.01.23294953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Alzheimer's Disease (AD) is a common disorder of the elderly that is both highly heritable and genetically heterogeneous. Here, we investigated the association between AD and both common variants and aggregates of rare coding and noncoding variants in 13,371 individuals of diverse ancestry with whole genome sequence (WGS) data. Pooled-population analyses identified genetic variants in or near APOE, BIN1, and LINC00320 significantly associated with AD (p < 5×10-8). Population-specific analyses identified a haplotype on chromosome 14 including PSEN1 associated with AD in Hispanics, further supported by aggregate testing of rare coding and noncoding variants in this region. Finally, we observed suggestive associations (p < 5×10-5) of aggregates of rare coding rare variants in ABCA7 among non-Hispanic Whites (p=5.4×10-6), and rare noncoding variants in the promoter of TOMM40 distinct of APOE in pooled-population analyses (p=7.2×10-8). Complementary pooled-population and population-specific analyses offered unique insights into the genetic architecture of AD.
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Affiliation(s)
- Wan-Ping Lee
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Seung Hoan Choi
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Margaret G Shea
- Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA, USA
| | - Po-Liang Cheng
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Beth A Dombroski
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Nancy L Heard-Costa
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Hui Wang
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Katia Bulekova
- Research Computing Services, Information Services & Technology, Boston University, Boston, MA, USA
| | - Amanda B Kuzma
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Yuk Yee Leung
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - John J Farrell
- Biomedical Genetics, Department of Medicine, Boston University Medical School, Boston, MA, USA
| | - Honghuang Lin
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Adam Naj
- Department of Biostatistics, Epidemiology, and Informatics, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Elizabeth E Blue
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Frederick Nusetor
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Dongyu Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Eric Boerwinkle
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - William S Bush
- Cleveland Institute for Computational Biology, Cleveland, OH, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Xiaoling Zhang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Biomedical Genetics, Department of Medicine, Boston University Medical School, Boston, MA, USA
| | - Philip L De Jager
- Center for Translational and Computational Neuroimmunology, Columbia University Medical Center, New York, NY, USA
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada
| | - Lindsay A Farrer
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Framingham Heart Study, Framingham, MA, USA
- Biomedical Genetics, Department of Medicine, Boston University Medical School, Boston, MA, USA
- Department of Ophthalmology, Department of Medicine, Boston University Medical School, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Eden Martin
- John P Hussman Institute for Human Genomics, Miami, FL, USA
- John T Macdonald Department of Human Genetics, Miami, FL, USA
- University of Miami Miller School of Medicine, Miami, FL, USA
| | - Margaret Pericak-Vance
- John P Hussman Institute for Human Genomics, Miami, FL, USA
- John T Macdonald Department of Human Genetics, Miami, FL, USA
- University of Miami Miller School of Medicine, Miami, FL, USA
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center, San Antonio, TX, USA
| | - Ellen M Wijsman
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Li-San Wang
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Gerard D Schellenberg
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Anita L Destefano
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Jonathan L Haines
- Cleveland Institute for Computational Biology, Cleveland, OH, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Gina M Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
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Walters S, Contreras AG, Eissman JM, Mukherjee S, Lee ML, Choi SE, Scollard P, Trittschuh EH, Mez JB, Bush WS, Kunkle BW, Naj AC, Peterson A, Gifford KA, Cuccaro ML, Cruchaga C, Pericak-Vance MA, Farrer LA, Wang LS, Haines JL, Jefferson AL, Kukull WA, Keene CD, Saykin AJ, Thompson PM, Martin ER, Bennett DA, Barnes LL, Schneider JA, Crane PK, Hohman TJ, Dumitrescu L. Associations of Sex, Race, and Apolipoprotein E Alleles With Multiple Domains of Cognition Among Older Adults. JAMA Neurol 2023; 80:929-939. [PMID: 37459083 PMCID: PMC10352930 DOI: 10.1001/jamaneurol.2023.2169] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 04/15/2023] [Indexed: 07/20/2023]
Abstract
Importance Sex differences are established in associations between apolipoprotein E (APOE) ε4 and cognitive impairment in Alzheimer disease (AD). However, it is unclear whether sex-specific cognitive consequences of APOE are consistent across races and extend to the APOE ε2 allele. Objective To investigate whether sex and race modify APOE ε4 and ε2 associations with cognition. Design, Setting, and Participants This genetic association study included longitudinal cognitive data from 4 AD and cognitive aging cohorts. Participants were older than 60 years and self-identified as non-Hispanic White or non-Hispanic Black (hereafter, White and Black). Data were previously collected across multiple US locations from 1994 to 2018. Secondary analyses began December 2021 and ended September 2022. Main Outcomes and Measures Harmonized composite scores for memory, executive function, and language were generated using psychometric approaches. Linear regression assessed interactions between APOE ε4 or APOE ε2 and sex on baseline cognitive scores, while linear mixed-effect models assessed interactions on cognitive trajectories. The intersectional effect of race was modeled using an APOE × sex × race interaction term, assessing whether APOE × sex interactions differed by race. Models were adjusted for age at baseline and corrected for multiple comparisons. Results Of 32 427 participants who met inclusion criteria, there were 19 007 females (59%), 4453 Black individuals (14%), and 27 974 White individuals (86%); the mean (SD) age at baseline was 74 years (7.9). At baseline, 6048 individuals (19%) had AD, 4398 (14%) were APOE ε2 carriers, and 12 538 (38%) were APOE ε4 carriers. Participants missing APOE status were excluded (n = 9266). For APOE ε4, a robust sex interaction was observed on baseline memory (β = -0.071, SE = 0.014; P = 9.6 × 10-7), whereby the APOE ε4 negative effect was stronger in females compared with males and did not significantly differ among races. Contrastingly, despite the large sample size, no APOE ε2 × sex interactions on cognition were observed among all participants. When testing for intersectional effects of sex, APOE ε2, and race, an interaction was revealed on baseline executive function among individuals who were cognitively unimpaired (β = -0.165, SE = 0.066; P = .01), whereby the APOE ε2 protective effect was female-specific among White individuals but male-specific among Black individuals. Conclusions and Relevance In this study, while race did not modify sex differences in APOE ε4, the APOE ε2 protective effect could vary by race and sex. Although female sex enhanced ε4-associated risk, there was no comparable sex difference in ε2, suggesting biological pathways underlying ε4-associated risk are distinct from ε2 and likely intersect with age-related changes in sex biology.
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Affiliation(s)
- Skylar Walters
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, Tennessee
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Alex G. Contreras
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, Tennessee
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Jaclyn M. Eissman
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, Tennessee
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee
| | | | - Michael L. Lee
- Department of Medicine, University of Washington, Seattle
| | - Seo-Eun Choi
- Department of Medicine, University of Washington, Seattle
| | | | - Emily H. Trittschuh
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle
- Geriatric Research Education and Clinical Center (GRECC), VA Puget Sound Health Care System, Seattle, Washington
| | - Jesse B. Mez
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
| | - William S. Bush
- Cleveland Institute for Computational Biology, Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio
| | - Brian W. Kunkle
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida
| | - Adam C. Naj
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Amalia Peterson
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Katherine A. Gifford
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Michael L. Cuccaro
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St Louis, Missouri
| | - Margaret A. Pericak-Vance
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida
| | - Lindsay A. Farrer
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
| | - Li-San Wang
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Jonathan L. Haines
- Cleveland Institute for Computational Biology, Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio
| | - Angela L. Jefferson
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Walter A. Kukull
- Department of Epidemiology, School of Public Health, University of Washington, Seattle
| | - C. Dirk Keene
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle
| | - Andrew J. Saykin
- Department of Radiology and Imaging Services, Indiana University School of Medicine, Indianapolis
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis
| | - Paul M. Thompson
- Keck School of Medicine, University of Southern California, Los Angeles
| | - Eden R. Martin
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida
| | - David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, Illinois
| | - Lisa L. Barnes
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, Illinois
| | - Julie A. Schneider
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, Illinois
| | - Paul K. Crane
- Department of Medicine, University of Washington, Seattle
| | - Timothy J. Hohman
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, Tennessee
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Logan Dumitrescu
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, Tennessee
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee
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Grunin M, de Jong S, Palmer EL, Jin B, Rinker D, Moth C, Capra A, Haines JL, Bush WS, den Hollander AI. Spatial Distribution of Missense Variants within Complement Proteins Associates with Age Related Macular Degeneration. medRxiv 2023:2023.08.28.23294686. [PMID: 37693462 PMCID: PMC10491280 DOI: 10.1101/2023.08.28.23294686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Purpose Genetic variants in complement genes are associated with age-related macular degeneration (AMD). However, many rare variants have been identified in these genes, but have an unknown significance, and their impact on protein function and structure is still unknown. We set out to address this issue by evaluating the spatial placement and impact on protein structureof these variants by developing an analytical pipeline and applying it to the International AMD Genomics Consortium (IAMDGC) dataset (16,144 AMD cases, 17,832 controls). Methods The IAMDGC dataset was imputed using the Haplotype Reference Consortium (HRC), leading to an improvement of over 30% more imputed variants, over the original 1000 Genomes imputation. Variants were extracted for the CFH , CFI , CFB , C9 , and C3 genes, and filtered for missense variants in solved protein structures. We evaluated these variants as to their placement in the three-dimensional structure of the protein (i.e. spatial proximity in the protein), as well as AMD association. We applied several pipelines to a) calculate spatial proximity to known AMD variants versus gnomAD variants, b) assess a variant's likelihood of causing protein destabilization via calculation of predicted free energy change (ddG) using Rosetta, and c) whole gene-based testing to test for statistical associations. Gene-based testing using seqMeta was performed using a) all variants b) variants near known AMD variants or c) with a ddG >|2|. Further, we applied a structural kernel adaptation of SKAT testing (POKEMON) to confirm the association of spatial distributions of missense variants to AMD. Finally, we used logistic regression on known AMD variants in CFI to identify variants leading to >50% reduction in protein expression from known AMD patient carriers of CFI variants compared to wild type (as determined by in vitro experiments) to determine the pipeline's robustness in identifying AMD-relevant variants. These results were compared to functional impact scores, ie CADD values > 10, which indicate if a variant may have a large functional impact genomewide, to determine if our metrics have better discriminative power than existing variant assessment methods. Once our pipeline had been validated, we then performed a priori selection of variants using this pipeline methodology, and tested AMD patient cell lines that carried those selected variants from the EUGENDA cohort (n=34). We investigated complement pathway protein expression in vitro , looking at multiple components of the complement factor pathway in patient carriers of bioinformatically identified variants. Results Multiple variants were found with a ddG>|2| in each complement gene investigated. Gene-based tests using known and novel missense variants identified significant associations of the C3 , C9 , CFB , and CFH genes with AMD risk after controlling for age and sex (P=3.22×10 -5 ;7.58×10 -6 ;2.1×10 -3 ;1.2×10 -31 ). ddG filtering and SKAT-O tests indicate that missense variants that are predicted to destabilize the protein, in both CFI and CFH, are associated with AMD (P=CFH:0.05, CFI:0.01, threshold of 0.05 significance). Our structural kernel approach identified spatial associations for AMD risk within the protein structures for C3, C9, CFB, CFH, and CFI at a nominal p-value of 0.05. Both ddG and CADD scores were predictive of reduced CFI protein expression, with ROC curve analyses indicating ddG is a better predictor (AUCs of 0.76 and 0.69, respectively). A priori in vitro analysis of variants in all complement factor genes indicated that several variants identified via bioinformatics programs PathProx/POKEMON in our pipeline via in vitro experiments caused significant change in complement protein expression (P=0.04) in actual patient carriers of those variants, via ELISA testing of proteins in the complement factor pathway, and were previously unknown to contribute to AMD pathogenesis. Conclusion We demonstrate for the first time that missense variants in complement genes cluster together spatially and are associated with AMD case/control status. Using this method, we can identify CFI and CFH variants of previously unknown significance that are predicted to destabilize the proteins. These variants, both in and outside spatial clusters, can predict in-vitro tested CFI protein expression changes, and we hypothesize the same is true for CFH . A priori identification of variants that impact gene expression allow for classification for previously classified as VUS. Further investigation is needed to validate the models for additional variants and to be applied to all AMD-associated genes.
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Ray NR, Kunkle BW, Hamilton-Nelson K, Kurup JT, Rajabli F, Cosacak MI, Kizil C, Jean-Francois M, Cuccaro M, Reyes-Dumeyer D, Cantwell L, Kuzma A, Vance JM, Gao S, Hendrie HC, Baiyewu O, Ogunniyi A, Akinyemi RO, Lee WP, Martin ER, Wang LS, Beecham GW, Bush WS, Farrer LA, Haines JL, Byrd GS, Schellenberg GD, Mayeux R, Pericak-Vance MA, Reitz C. Extended genome-wide association study employing the African Genome Resources Panel identifies novel susceptibility loci for Alzheimer's Disease in individuals of African ancestry. medRxiv 2023:2023.08.29.23294774. [PMID: 37693582 PMCID: PMC10491365 DOI: 10.1101/2023.08.29.23294774] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
INTRODUCTION Despite a two-fold increased risk, individuals of African ancestry have been significantly underrepresented in Alzheimer's Disease (AD) genomics efforts. METHODS GWAS of 2,903 AD cases and 6,265 cognitive controls of African ancestry. Within-dataset results were meta-analyzed, followed by gene-based and pathway analyses, and analysis of RNAseq and whole-genome sequencing data. RESULTS A novel AD risk locus was identified in MPDZ on chromosome 9p23 (rs141610415, MAF=.002, P =3.68×10 -9 ). Two additional novel common and nine novel rare loci approached genome-wide significance at P <9×10 -7 . Comparison of association and LD patterns between datasets with higher and lower degrees of African ancestry showed differential association patterns at chr12q23.2 ( ASCL1 ), suggesting that the association is modulated by regional origin of local African ancestry. DISCUSSION Increased sample sizes and sample sets from Africa covering as much African genetic diversity as possible will be critical to identify additional disease-associated loci and improve deconvolution of local genetic ancestry effects.
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Rajabli F, Benchek P, Tosto G, Kushch N, Sha J, Bazemore K, Zhu C, Lee WP, Haut J, Hamilton-Nelson KL, Wheeler NR, Zhao Y, Farrell JJ, Grunin MA, Leung YY, Kuksa PP, Li D, Lucio da Fonseca E, Mez JB, Palmer EL, Pillai J, Sherva RM, Song YE, Zhang X, Iqbal T, Pathak O, Valladares O, Kuzma AB, Abner E, Adams PM, Aguirre A, Albert MS, Albin RL, Allen M, Alvarez L, Apostolova LG, Arnold SE, Asthana S, Atwood CS, Ayres G, Baldwin CT, Barber RC, Barnes LL, Barral S, Beach TG, Becker JT, Beecham GW, Beekly D, Benitez BA, Bennett D, Bertelson J, Bird TD, Blacker D, Boeve BF, Bowen JD, Boxer A, Brewer J, Burke JR, Burns JM, Buxbaum JD, Cairns NJ, Cantwell LB, Cao C, Carlson CS, Carlsson CM, Carney RM, Carrasquillo MM, Chasse S, Chesselet MF, Chin NA, Chui HC, Chung J, Craft S, Crane PK, Cribbs DH, Crocco EA, Cruchaga C, Cuccaro ML, Cullum M, Darby E, Davis B, De Jager PL, DeCarli C, DeToledo J, Dick M, Dickson DW, Dombroski BA, Doody RS, Duara R, Ertekin-Taner NI, Evans DA, Faber KM, Fairchild TJ, Fallon KB, Fardo DW, Farlow MR, Fernandez-Hernandez V, Ferris S, Foroud TM, Frosch MP, Fulton-Howard B, Galasko DR, Gamboa A, Gearing M, Geschwind DH, Ghetti B, Gilbert JR, Goate AM, Grabowski TJ, Graff-Radford NR, Green RC, Growdon JH, Hakonarson H, Hall J, Hamilton RL, Harari O, Hardy J, Harrell LE, Head E, Henderson VW, Hernandez M, Hohman T, Honig LS, Huebinger RM, Huentelman MJ, Hulette CM, Hyman BT, Hynan LS, Ibanez L, Jarvik GP, Jayadev S, Jin LW, Johnson K, Johnson L, Kamboh MI, Karydas AM, Katz MJ, Kauwe JS, Kaye JA, Keene CD, Khaleeq A, Kim R, Knebl J, Kowall NW, Kramer JH, Kukull WA, LaFerla FM, Lah JJ, Larson EB, Lerner A, Leverenz JB, Levey AI, Lieberman AP, Lipton RB, Logue M, Lopez OL, Lunetta KL, Lyketsos CG, Mains D, Margaret FE, Marson DC, Martin ERR, Martiniuk F, Mash DC, Masliah E, Massman P, Masurkar A, McCormick WC, McCurry SM, McDavid AN, McDonough S, McKee AC, Mesulam M, Miller BL, Miller CA, Miller JW, Montine TJ, Monuki ES, Morris JC, Mukherjee S, Myers AJ, Nguyen T, O'Bryant S, Olichney JM, Ory M, Palmer R, Parisi JE, Paulson HL, Pavlik V, Paydarfar D, Perez V, Peskind E, Petersen RC, Pierce A, Polk M, Poon WW, Potter H, Qu L, Quiceno M, Quinn JF, Raj A, Raskind M, Reiman EM, Reisberg B, Reisch JS, Ringman JM, Roberson ED, Rodriguear M, Rogaeva E, Rosen HJ, Rosenberg RN, Royall DR, Sager MA, Sano M, Saykin AJ, Schneider JA, Schneider LS, Seeley WW, Slifer SH, Small S, Smith AG, Smith JP, Sonnen JA, Spina S, St George-Hyslop P, Stern RA, Stevens AB, Strittmatter SM, Sultzer D, Swerdlow RH, Tanzi RE, Tilson JL, Trojanowski JQ, Troncoso JC, Tsuang DW, Van Deerlin VM, van Eldik LJ, Vance JM, Vardarajan BN, Vassar R, Vinters HV, Vonsattel JP, Weintraub S, Welsh-Bohmer KA, Whitehead PL, Wijsman EM, Wilhelmsen KC, Williams B, Williamson J, Wilms H, Wingo TS, Wisniewski T, Woltjer RL, Woon M, Wright CB, Wu CK, Younkin SG, Yu CE, Yu L, Zhu X, Kunkle BW, Bush WS, Wang LS, Farrer LA, Haines JL, Mayeux R, Pericak-Vance MA, Schellenberg GD, Jun GR, Reitz C, Naj AC. Multi-ancestry genome-wide meta-analysis of 56,241 individuals identifies LRRC4C, LHX5-AS1 and nominates ancestry-specific loci PTPRK , GRB14 , and KIAA0825 as novel risk loci for Alzheimer's disease: the Alzheimer's Disease Genetics Consortium. medRxiv 2023:2023.07.06.23292311. [PMID: 37461624 PMCID: PMC10350126 DOI: 10.1101/2023.07.06.23292311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Limited ancestral diversity has impaired our ability to detect risk variants more prevalent in non-European ancestry groups in genome-wide association studies (GWAS). We constructed and analyzed a multi-ancestry GWAS dataset in the Alzheimer's Disease (AD) Genetics Consortium (ADGC) to test for novel shared and ancestry-specific AD susceptibility loci and evaluate underlying genetic architecture in 37,382 non-Hispanic White (NHW), 6,728 African American, 8,899 Hispanic (HIS), and 3,232 East Asian individuals, performing within-ancestry fixed-effects meta-analysis followed by a cross-ancestry random-effects meta-analysis. We identified 13 loci with cross-ancestry associations including known loci at/near CR1 , BIN1 , TREM2 , CD2AP , PTK2B , CLU , SHARPIN , MS4A6A , PICALM , ABCA7 , APOE and two novel loci not previously reported at 11p12 ( LRRC4C ) and 12q24.13 ( LHX5-AS1 ). Reflecting the power of diverse ancestry in GWAS, we observed the SHARPIN locus using 7.1% the sample size of the original discovering single-ancestry GWAS (n=788,989). We additionally identified three GWS ancestry-specific loci at/near ( PTPRK ( P =2.4×10 -8 ) and GRB14 ( P =1.7×10 -8 ) in HIS), and KIAA0825 ( P =2.9×10 -8 in NHW). Pathway analysis implicated multiple amyloid regulation pathways (strongest with P adjusted =1.6×10 -4 ) and the classical complement pathway ( P adjusted =1.3×10 -3 ). Genes at/near our novel loci have known roles in neuronal development ( LRRC4C, LHX5-AS1 , and PTPRK ) and insulin receptor activity regulation ( GRB14 ). These findings provide compelling support for using traditionally-underrepresented populations for gene discovery, even with smaller sample sizes.
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Chen F, Madduri RK, Rodriguez AA, Darst BF, Chou A, Sheng X, Wang A, Shen J, Saunders EJ, Rhie SK, Bensen JT, Ingles SA, Kittles RA, Strom SS, Rybicki BA, Nemesure B, Isaacs WB, Stanford JL, Zheng W, Sanderson M, John EM, Park JY, Xu J, Wang Y, Berndt SI, Huff CD, Yeboah ED, Tettey Y, Lachance J, Tang W, Rentsch CT, Cho K, Mcmahon BH, Biritwum RB, Adjei AA, Tay E, Truelove A, Niwa S, Sellers TA, Yamoah K, Murphy AB, Crawford DC, Patel AV, Bush WS, Aldrich MC, Cussenot O, Petrovics G, Cullen J, Neslund-Dudas CM, Stern MC, Kote-Jarai Z, Govindasami K, Cook MB, Chokkalingam AP, Hsing AW, Goodman PJ, Hoffmann TJ, Drake BF, Hu JJ, Keaton JM, Hellwege JN, Clark PE, Jalloh M, Gueye SM, Niang L, Ogunbiyi O, Idowu MO, Popoola O, Adebiyi AO, Aisuodionoe-Shadrach OI, Ajibola HO, Jamda MA, Oluwole OP, Nwegbu M, Adusei B, Mante S, Darkwa-Abrahams A, Mensah JE, Diop H, Van Den Eeden SK, Blanchet P, Fowke JH, Casey G, Hennis AJ, Lubwama A, Thompson IM, Leach R, Easton DF, Preuss MH, Loos RJ, Gundell SM, Wan P, Mohler JL, Fontham ET, Smith GJ, Taylor JA, Srivastava S, Eeles RA, Carpten JD, Kibel AS, Multigner L, Parent MÉ, Menegaux F, Cancel-Tassin G, Klein EA, Andrews C, Rebbeck TR, Brureau L, Ambs S, Edwards TL, Watya S, Chanock SJ, Witte JS, Blot WJ, Michael Gaziano J, Justice AC, Conti DV, Haiman CA. Evidence of Novel Susceptibility Variants for Prostate Cancer and a Multiancestry Polygenic Risk Score Associated with Aggressive Disease in Men of African Ancestry. Eur Urol 2023; 84:13-21. [PMID: 36872133 PMCID: PMC10424812 DOI: 10.1016/j.eururo.2023.01.022] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 12/14/2022] [Accepted: 01/24/2023] [Indexed: 03/06/2023]
Abstract
BACKGROUND Genetic factors play an important role in prostate cancer (PCa) susceptibility. OBJECTIVE To discover common genetic variants contributing to the risk of PCa in men of African ancestry. DESIGN, SETTING, AND PARTICIPANTS We conducted a meta-analysis of ten genome-wide association studies consisting of 19378 cases and 61620 controls of African ancestry. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS Common genotyped and imputed variants were tested for their association with PCa risk. Novel susceptibility loci were identified and incorporated into a multiancestry polygenic risk score (PRS). The PRS was evaluated for associations with PCa risk and disease aggressiveness. RESULTS AND LIMITATIONS Nine novel susceptibility loci for PCa were identified, of which seven were only found or substantially more common in men of African ancestry, including an African-specific stop-gain variant in the prostate-specific gene anoctamin 7 (ANO7). A multiancestry PRS of 278 risk variants conferred strong associations with PCa risk in African ancestry studies (odds ratios [ORs] >3 and >5 for men in the top PRS decile and percentile, respectively). More importantly, compared with men in the 40-60% PRS category, men in the top PRS decile had a significantly higher risk of aggressive PCa (OR = 1.23, 95% confidence interval = 1.10-1.38, p = 4.4 × 10-4). CONCLUSIONS This study demonstrates the importance of large-scale genetic studies in men of African ancestry for a better understanding of PCa susceptibility in this high-risk population and suggests a potential clinical utility of PRS in differentiating between the risks of developing aggressive and nonaggressive disease in men of African ancestry. PATIENT SUMMARY In this large genetic study in men of African ancestry, we discovered nine novel prostate cancer (PCa) risk variants. We also showed that a multiancestry polygenic risk score was effective in stratifying PCa risk, and was able to differentiate risk of aggressive and nonaggressive disease.
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Affiliation(s)
- Fei Chen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | | | - Burcu F Darst
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Alisha Chou
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Xin Sheng
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Anqi Wang
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jiayi Shen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Suhn K Rhie
- Department of Biochemistry and Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jeannette T Bensen
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sue A Ingles
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Rick A Kittles
- Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Sara S Strom
- Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Benjamin A Rybicki
- Department of Public Health Sciences, Henry Ford Hospital, Detroit, MI, USA
| | - Barbara Nemesure
- Department of Family, Population and Preventive Medicine, Stony Brook University, Stony Brook, NY, USA
| | - William B Isaacs
- James Buchanan Brady Urological Institute, Johns Hopkins Hospital and Medical Institution, Baltimore, MD, USA
| | - Janet L Stanford
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Maureen Sanderson
- Department of Family and Community Medicine, Meharry Medical College, Nashville, TN, USA
| | - Esther M John
- Department of Medicine, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Jong Y Park
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Jianfeng Xu
- Program for Personalized Cancer Care and Department of Surgery, NorthShore University HealthSystem, Evanston, IL, USA
| | - Ying Wang
- Department of Population Science, American Cancer Society, Kennesaw, GA, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Chad D Huff
- Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | | | - Yao Tettey
- Department of Pathology, University of Ghana, Accra, Ghana; Korle Bu Teaching Hospital, Accra, Ghana
| | - Joseph Lachance
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA
| | - Wei Tang
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Christopher T Rentsch
- Yale School of Medicine, New Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA; Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Kelly Cho
- Division of Aging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; VA Boston Healthcare System, Jamaica Plain, MA, USA
| | - Benjamin H Mcmahon
- Theoretical Biology Division, Los Alamos National Lab, Los Alamos, NM, USA
| | | | - Andrew A Adjei
- Department of Pathology, University of Ghana Medical School, Accra, Ghana
| | - Evelyn Tay
- Korle Bu Teaching Hospital, Accra, Ghana
| | | | | | - Thomas A Sellers
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Kosj Yamoah
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA; Department of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, USA
| | - Adam B Murphy
- Department of Urology, Northwestern University, Chicago, IL, USA
| | - Dana C Crawford
- Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
| | - Alpa V Patel
- Department of Population Science, American Cancer Society, Kennesaw, GA, USA
| | - William S Bush
- Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
| | - Melinda C Aldrich
- Division of Epidemiology, Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Olivier Cussenot
- Department of Urology and Predictive Onco-Urology Group, Sorbonne Université, GRC 5 Predictive Onco-Urology, APHP-Sorbonne Université, Paris, France; CeRePP, Tenon Hospital, Paris, France
| | - Gyorgy Petrovics
- Department of Surgery, Center for Prostate Disease Research, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Jennifer Cullen
- Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA; Department of Surgery, Center for Prostate Disease Research, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | | | - Mariana C Stern
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | | | - Michael B Cook
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | | | - Ann W Hsing
- Department of Medicine, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Phyllis J Goodman
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Thomas J Hoffmann
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Bettina F Drake
- Division of Public Health Sciences, Washington University School of Medicine, St. Louis, MO, USA
| | - Jennifer J Hu
- The University of Miami School of Medicine, Sylvester Comprehensive Cancer Center, Miami, FL, USA
| | - Jacob M Keaton
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jacklyn N Hellwege
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Division of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Nashville, TN, USA
| | - Peter E Clark
- Atrium Health/Levine Cancer Institute, Charlotte, NC, USA
| | | | | | | | - Olufemi Ogunbiyi
- College of Medicine, University of Ibadan and University College Hospital, Ibadan, Nigeria
| | - Michael O Idowu
- College of Medicine, University of Ibadan and University College Hospital, Ibadan, Nigeria
| | - Olufemi Popoola
- College of Medicine, University of Ibadan and University College Hospital, Ibadan, Nigeria
| | - Akindele O Adebiyi
- College of Medicine, University of Ibadan and University College Hospital, Ibadan, Nigeria
| | - Oseremen I Aisuodionoe-Shadrach
- College of Health Sciences, University of Abuja, University of Abuja Teaching Hospital and Cancer Science Center, Abuja, Nigeria
| | - Hafees O Ajibola
- College of Health Sciences, University of Abuja, University of Abuja Teaching Hospital and Cancer Science Center, Abuja, Nigeria
| | - Mustapha A Jamda
- College of Health Sciences, University of Abuja, University of Abuja Teaching Hospital and Cancer Science Center, Abuja, Nigeria
| | - Olabode P Oluwole
- College of Health Sciences, University of Abuja, University of Abuja Teaching Hospital and Cancer Science Center, Abuja, Nigeria
| | - Maxwell Nwegbu
- College of Health Sciences, University of Abuja, University of Abuja Teaching Hospital and Cancer Science Center, Abuja, Nigeria
| | | | | | | | | | - Halimatou Diop
- Laboratoires Bacteriologie et Virologie, Hôpital Aristide Le Dantec, Dakar, Senegal
| | - Stephen K Van Den Eeden
- Division of Research, Kaiser Permanente, Northern California, Oakland, CA, USA; Department of Urology, University of California, San Francisco, San Francisco, CA, USA
| | - Pascal Blanchet
- CHU de Pointe-à-Pitre, Univ Antilles, Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail), Pointe-à-Pitre, Guadeloupe, France
| | - Jay H Fowke
- Department of Preventive Medicine, Division of Epidemiology, The University of Tennessee Health Science Center, Memphis, TN, USA
| | - Graham Casey
- Department of Public Health Science, Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Anselm J Hennis
- Department of Family, Population and Preventive Medicine, Stony Brook University, Stony Brook, NY, USA
| | | | - Ian M Thompson
- CHRISTUS Santa Rosa Medical Center Hospital, San Antonio, TX, USA
| | - Robin Leach
- Department of Urology, Cancer Therapy and Research Center, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Douglas F Easton
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Strangeways Research Laboratory, Cambridge, UK
| | - Michael H Preuss
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ruth J Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Susan M Gundell
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Peggy Wan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - James L Mohler
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Urology, Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Elizabeth T Fontham
- School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA, USA
| | - Gary J Smith
- Department of Urology, Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Jack A Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA; Laboratory of Molecular Carcinogenesis, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Shiv Srivastava
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC, USA
| | - Rosaline A Eeles
- The Institute of Cancer Research, London, UK; Royal Marsden NHS Foundation Trust, London, UK
| | - John D Carpten
- Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Adam S Kibel
- Department of Urology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Luc Multigner
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail), Rennes, France
| | - Marie-Élise Parent
- Epidemiology and Biostatistics Unit, Centre Armand-Frappier Santé Biotechnologie, Institut national de la recherche scientifique, Laval, QC, Canada
| | - Florence Menegaux
- Cancer & Environment Group, Center for Research in Epidemiology and Population Health (CESP), INSERM, University Paris-Sud, University Paris-Saclay, Villejuif Cédex, France; Paris-Sud University, Villejuif Cédex, France
| | - Geraldine Cancel-Tassin
- Department of Urology and Predictive Onco-Urology Group, Sorbonne Université, GRC 5 Predictive Onco-Urology, APHP-Sorbonne Université, Paris, France; CeRePP, Tenon Hospital, Paris, France
| | - Eric A Klein
- Cleveland Clinic Lerner Research Institute, Cleveland, OH, USA
| | - Caroline Andrews
- Harvard TH Chan School of Public Health and Division of Population Sciences, Dana Farber Cancer Institute, Boston, MA, USA; Glickman Urological & Kidney Institute, Cleveland, OH, USA
| | - Timothy R Rebbeck
- Harvard TH Chan School of Public Health and Division of Population Sciences, Dana Farber Cancer Institute, Boston, MA, USA
| | - Laurent Brureau
- CHU de Pointe-à-Pitre, Univ Antilles, Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail), Pointe-à-Pitre, Guadeloupe, France
| | - Stefan Ambs
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Todd L Edwards
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - John S Witte
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA; Stanford Cancer Institute, Stanford University, Stanford, CA, USA
| | - William J Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; International Epidemiology Institute, Rockville, MD, USA
| | - J Michael Gaziano
- Division of Aging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; VA Boston Healthcare System, Boston, MA, USA
| | - Amy C Justice
- Yale School of Medicine, New Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA
| | - David V Conti
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Christopher A Haiman
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
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19
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Rajabli F, Tosto G, Hamilton-Nelson KL, Kunkle BW, Vardarajan BN, Naj A, Whitehead PG, Gardner OK, Bush WS, Sariya S, Mayeux RP, Farrer LA, Cuccaro ML, Vance JM, Griswold AJ, Schellenberg GD, Haines JL, Byrd GS, Reitz C, Beecham GW, Pericak-Vance MA, Martin ER. Admixture mapping identifies novel Alzheimer's disease risk regions in African Americans. Alzheimers Dement 2023; 19:2538-2548. [PMID: 36539198 PMCID: PMC10272044 DOI: 10.1002/alz.12865] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Revised: 08/09/2022] [Accepted: 08/17/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND This study used admixture mapping to prioritize the genetic regions associated with Alzheimer's disease (AD) in African American (AA) individuals, followed by ancestry-aware regression analysis to fine-map the prioritized regions. METHODS We analyzed 10,271 individuals from 17 different AA datasets. We performed admixture mapping and meta-analyzed the results. We then used regression analysis, adjusting for local ancestry main effects and interactions with genotype, to refine the regions identified from admixture mapping. Finally, we leveraged in silico annotation and differential gene expression data to prioritize AD-related variants and genes. RESULTS Admixture mapping identified two genome-wide significant loci on chromosomes 17p13.2 (p = 2.2 × 10-5 ) and 18q21.33 (p = 1.2 × 10-5 ). Our fine mapping of the chromosome 17p13.2 and 18q21.33 regions revealed several interesting genes such as the MINK1, KIF1C, and BCL2. DISCUSSION Our ancestry-aware regression approach showed that AA individuals have a lower risk of AD if they inherited African ancestry admixture block at the 17p13.2 locus. HIGHLIGHTS We identified two genome-wide significant admixture mapping signals: on chromosomes 17p13.2 and 18q21.33, which are novel in African American (AA) populations. Our ancestry-aware regression approach showed that AA individuals have a lower risk of Alzheimer's disease (AD) if they inherited African ancestry admixture block at the 17p13.2 locus. We found that the overall proportion of African ancestry does not differ between the cases and controls that suggest African genetic ancestry alone is not likely to explain the AD prevalence difference between AA and non-Hispanic White populations.
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Affiliation(s)
- Farid Rajabli
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Giuseppe Tosto
- Gertrude H. Sergievsky Center, Taub Institute for Research on the Aging Brain, Departments of Neurology, Psychiatry, and Epidemiology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Kara L. Hamilton-Nelson
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Brian W. Kunkle
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Badri N. Vardarajan
- Gertrude H. Sergievsky Center, Taub Institute for Research on the Aging Brain, Departments of Neurology, Psychiatry, and Epidemiology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Adam Naj
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PE, USA
| | - Patrice G. Whitehead
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Olivia K. Gardner
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - William S. Bush
- Department of Population & Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Sanjeev Sariya
- Gertrude H. Sergievsky Center, Taub Institute for Research on the Aging Brain, Departments of Neurology, Psychiatry, and Epidemiology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Richard P. Mayeux
- Gertrude H. Sergievsky Center, Taub Institute for Research on the Aging Brain, Departments of Neurology, Psychiatry, and Epidemiology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Lindsay A. Farrer
- Departments of Medicine (Biomedical Genetics), Neurology, Ophthalmology, Epidemiology, and Biostatistics, Boston University Schools of Medicine and Public Health, Boston, MA, USA
| | - Michael L. Cuccaro
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
- Dr. John T. MacDonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Jeffrey M. Vance
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
- Dr. John T. MacDonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Anthony J. Griswold
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
- Dr. John T. MacDonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Gerard D. Schellenberg
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PE, USA
| | - Jonathan L. Haines
- Department of Population & Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Goldie S. Byrd
- Maya Angelou Center for Health Equity, Wake Forest University, Winston-Salem, NC, USA
| | - Christiane Reitz
- Gertrude H. Sergievsky Center, Taub Institute for Research on the Aging Brain, Departments of Neurology, Psychiatry, and Epidemiology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Gary W. Beecham
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
- Dr. John T. MacDonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Margaret A. Pericak-Vance
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
- Dr. John T. MacDonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Eden R. Martin
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
- Dr. John T. MacDonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL, USA
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20
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Okwuegbuna OK, Kaur H, Iudicello J, Bush WS, Bharti A, Umlauf A, Ellis RJ, Franklin DR, Heaton RK, McCutchan JA, Kallianpur AR, Letendre SL. Anemia and Erythrocyte Indices Are Associated With Neurocognitive Performance Across Multiple Ability Domains in Adults With HIV. J Acquir Immune Defic Syndr 2023; 92:414-421. [PMID: 36580636 PMCID: PMC10006328 DOI: 10.1097/qai.0000000000003155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 12/19/2022] [Indexed: 12/30/2022]
Abstract
BACKGROUND Anemia is linked to neurocognitive impairment (NCI) in people with HIV (PWH), but its impact within specific ability domains, and in diverse populations with HIV, is uncertain. METHODS Participants included 1339 PWH enrolled in observational HIV cohort studies with a mean of 3 comprehensive neurocognitive assessments over 30 months. Global and domain-specific neurocognitive function were assessed by the global deficit score and domain deficit score (GDS and DDS, respectively) or as GDS-defined or DDS-defined NCI (GDS ≥ 0.5, DDS > 0.5). Time-dependent associations of anemia or red-cell indices with neurocognitive function were evaluated by multivariable regression. RESULTS The mean age at entry was 43.6 years (85% male, 23.9% Hispanic, 16.7% African ancestry by self-report, and 69.8% virally suppressed). Anemia occurred at entry in 297 (22.2%) and developed subsequently in another 129 (9.6%). Anemia (present in 26.8% of cognitively impaired PWH at entry) and lower hemoglobin were associated with higher (worse) GDS values; the association for anemia persisted after multivariable adjustment and in virally suppressed persons ( P < 0.0001). Anemia was also associated with reduced processing speed, motor function, learning, delayed recall, working memory (all P < 0.01), executive function ( P = 0.021), and verbal fluency ( P = 0.035), and these findings persisted in longitudinal analyses (adjusted P < 0.01 for all domains, except verbal fluency). Higher mean corpuscular volume and mean corpuscular hemoglobin were associated with less impairment in learning and recall (all P < 0.05). CONCLUSIONS Anemia in diverse and virally suppressed PWH associates with reduced neurocognitive performance in multiple domains, cross-sectionally and over time. The impact of identifying and treating anemia to prevent or slow neurocognitive decline in PWH should be prospectively evaluated.
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Affiliation(s)
| | - Harpreet Kaur
- Department of Genomic Medicine, Lerner Research Institute, Cleveland Clinic
| | | | - William S. Bush
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH
| | - Ajay Bharti
- Department of Medicine, University of California, San Diego, CA
| | - Anya Umlauf
- Department of Psychiatry, University of California, San Diego, CA
| | - Ronald J. Ellis
- Department of Neuroscience, University of California, San Diego, CA
- Department of Psychiatry, University of California, San Diego, CA
| | | | - Robert K. Heaton
- Department of Psychiatry, University of California, San Diego, CA
| | | | - Asha R. Kallianpur
- Department of Genomic Medicine, Lerner Research Institute, Cleveland Clinic
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH
- Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH
| | - Scott L. Letendre
- Department of Medicine, University of California, San Diego, CA
- Department of Psychiatry, University of California, San Diego, CA
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21
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Liu S, Bush WS, Miskimen K, Gonzalez-Vicente A, Bailey JNC, Konidari I, McCauley JL, Sedor JR, O'Toole JF, Crawford DC. T-cell receptor diversity in minimal change disease in the NEPTUNE study. Pediatr Nephrol 2023; 38:1115-1126. [PMID: 35943576 PMCID: PMC10037226 DOI: 10.1007/s00467-022-05696-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 07/15/2022] [Accepted: 07/15/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Minimal change disease (MCD) is the major cause of childhood idiopathic nephrotic syndrome, which is characterized by massive proteinuria and debilitating edema. Proteinuria in MCD is typically rapidly reversible with corticosteroid therapy, but relapses are common, and children often have many adverse events from the repeated courses of immunosuppressive therapy. The pathobiology of MCD remains poorly understood. Prior clinical observations suggest that abnormal T-cell function may play a central role in MCD pathogenesis. Based on these observations, we hypothesized that T-cell responses to specific exposures or antigens lead to a clonal expansion of T-cell subsets, a restriction in the T-cell repertoire, and an elaboration of specific circulating factors that trigger disease onset and relapses. METHODS To test these hypotheses, we sequenced T-cell receptors in fourteen MCD, four focal segmental glomerulosclerosis (FSGS), and four membranous nephropathy (MN) patients with clinical data and blood samples drawn during active disease and during remission collected by the Nephrotic Syndrome Study Network (NEPTUNE). We calculated several T-cell receptor diversity metrics to assess possible differences between active disease and remission states in paired samples. RESULTS Median productive clonality did not differ between MCD active disease (0.0083; range: 0.0042, 0.0397) and remission (0.0088; range: 0.0038, 0.0369). We did not identify dominant clonotypes in MCD active disease, and few clonotypes were shared with FSGS and MN patients. CONCLUSIONS While these data do not support an obvious role of the adaptive immune system T-cells in MCD pathogenesis, further study is warranted given the limited sample size. A higher resolution version of the Graphical abstract is available as Supplementary information.
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Affiliation(s)
- Shiying Liu
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
- Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
| | - William S Bush
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
- Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Kristy Miskimen
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
- Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Agustin Gonzalez-Vicente
- Glickman Urological and Kidney Disease and Lerner Research Institutes, Cleveland Clinic, Cleveland, OH, USA
| | - Jessica N Cooke Bailey
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
- Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
| | - Ioanna Konidari
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Jacob L McCauley
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - John R Sedor
- Glickman Urological and Kidney Disease and Lerner Research Institutes, Cleveland Clinic, Cleveland, OH, USA
| | - John F O'Toole
- Glickman Urological and Kidney Disease and Lerner Research Institutes, Cleveland Clinic, Cleveland, OH, USA
| | - Dana C Crawford
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.
- Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA.
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, USA.
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22
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McHenry ML, Simmons J, Hong H, Malone LL, Mayanja-Kizza H, Bush WS, Boom WH, Hawn TR, Williams SM, Stein CM. Tuberculosis severity associates with variants and eQTLs related to vascular biology and infection-induced inflammation. PLoS Genet 2023; 19:e1010387. [PMID: 36972313 PMCID: PMC10079228 DOI: 10.1371/journal.pgen.1010387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 04/06/2023] [Accepted: 02/13/2023] [Indexed: 03/29/2023] Open
Abstract
Background
Tuberculosis (TB) remains a major public health problem globally, even compared to COVID-19. Genome-wide studies have failed to discover genes that explain a large proportion of genetic risk for adult pulmonary TB, and even fewer have examined genetic factors underlying TB severity, an intermediate trait impacting disease experience, quality of life, and risk of mortality. No prior severity analyses used a genome-wide approach.
Methods and findings
As part of our ongoing household contact study in Kampala, Uganda, we conducted a genome-wide association study (GWAS) of TB severity measured by TBScore, in two independent cohorts of culture-confirmed adult TB cases (n = 149 and n = 179). We identified 3 SNPs (P<1.0 x 10–7) including one on chromosome 5, rs1848553, that was GWAS significant (meta-analysis p = 2.97x10-8). All three SNPs are in introns of RGS7BP and have effect sizes corresponding to clinically meaningful reductions in disease severity. RGS7BP is highly expressed in blood vessels and plays a role in infectious disease pathogenesis. Other genes with suggestive associations defined gene sets involved in platelet homeostasis and transport of organic anions. To explore functional implications of the TB severity-associated variants, we conducted eQTL analyses using expression data from Mtb-stimulated monocyte-derived macrophages. A single variant (rs2976562) associated with monocyte SLA expression (p = 0.03) and subsequent analyses indicated that SLA downregulation following MTB stimulation associated with increased TB severity. Src Like Adaptor (SLAP-1), encoded by SLA, is highly expressed in immune cells and negatively regulates T cell receptor signaling, providing a potential mechanistic link to TB severity.
Conclusions
These analyses reveal new insights into the genetics of TB severity with regulation of platelet homeostasis and vascular biology being central to consequences for active TB patients. This analysis also reveals genes that regulate inflammation can lead to differences in severity. Our findings provide an important step in improving TB patient outcomes.
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23
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Reed CL, Garza JP, Bush WS, Parikh N, Nagar N, Vecera SP. Does hand position affect orienting when no action is required? An electrophysiological study. Front Neurosci 2023; 16:982005. [PMID: 36685236 PMCID: PMC9853295 DOI: 10.3389/fnins.2022.982005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 12/13/2022] [Indexed: 01/09/2023] Open
Abstract
Previous research has shown that attention can be biased to targets appearing near the hand that require action responses, arguing that attention to the hand facilitates upcoming action. It is unclear whether attention orients to non-targets near the hand not requiring responses. Using electroencephalography/event-related potentials (EEG/ERP), this study investigated whether hand position affected visual orienting to non-targets under conditions that manipulated the distribution of attention. We modified an attention paradigm in which stimuli were presented briefly and rapidly on either side of fixation; participants responded to infrequent targets (15%) but not standard non-targets and either a hand or a block was placed next to one stimulus location. In Experiment 1, attention was distributed across left and right stimulus locations to determine whether P1 or N1 ERP amplitudes to non-target standards were differentially influenced by hand location. In Experiment 2, attention was narrowed to only one stimulus location to determine whether attentional focus affected orienting to non-target locations near the hand. When attention was distributed across both stimulus locations, the hand increased overall N1 amplitudes relative to the block but not selectively to stimuli appearing near the hand. However, when attention was focused on one location, amplitudes were affected by the location of attentional focus and the stimulus, but not by hand or block location. Thus, hand position appears to contribute only a non-location-specific input to standards during visual orienting, but only in cases when attention is distributed across stimulus locations.
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Affiliation(s)
- Catherine L. Reed
- Department of Psychological Science, Claremont McKenna College, Claremont, CA, United States,*Correspondence: Catherine L. Reed,
| | - John P. Garza
- BUILDing SCHOLARS Center, The University of Texas, El Paso, TX, United States
| | - William S. Bush
- Department of Psychological and Brain Sciences, The University of Iowa, Iowa City, IA, United States
| | - Natasha Parikh
- Department of Psychological Science, Claremont McKenna College, Claremont, CA, United States
| | - Niti Nagar
- Department of Psychological Science, Claremont McKenna College, Claremont, CA, United States
| | - Shaun P. Vecera
- Department of Psychological and Brain Sciences, The University of Iowa, Iowa City, IA, United States
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24
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Grunin M, Palmer E, de Jong S, Jin B, Rinker D, Moth C, Capra JA, Haines JL, Bush WS, den Hollander AI. Integrating Computational Approaches to Predict the Effect of Genetic Variants on Protein Stability in Retinal Degenerative Disease. Adv Exp Med Biol 2023; 1415:157-163. [PMID: 37440029 DOI: 10.1007/978-3-031-27681-1_24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/14/2023]
Abstract
Protein function can be impacted by changes in protein structure stability, but determining which change has impact is complex. Stability can be affected by a large change in the tertiary (3D) structure of the protein or due to free-energy changes caused by single amino acid substitutions. Changes in the DNA sequence can have minor or major impact on protein stability, which can lead to disease. Inherited retinal degenerations are generally caused by single mutations which are mostly located in protein-coding regions, while age-related macular degeneration (AMD) is a complex disorder that can be influenced by some genetic variants impacting proteins involved in the disease, although not all AMD risk variants lead to amino acid changes. Here, we review ways that proteins may be affected, the identification and understanding of these changes, and how to identify causal changes that can be targeted to develop treatments to alleviate retinal degenerative disease.
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Affiliation(s)
- Michelle Grunin
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.
- Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA.
| | - Ellen Palmer
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
- Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
| | - Sarah de Jong
- Department of Ophthalmology, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands.
| | - Bowen Jin
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
- Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
| | - David Rinker
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
| | - Christopher Moth
- Center for Structural Biology, Vanderbilt University, Nashville, TN, USA
| | - John A Capra
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
- Center for Structural Biology, Vanderbilt University, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, TN, USA
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Jonathan L Haines
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
- Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
| | - William S Bush
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
- Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
| | - Anneke I den Hollander
- Department of Ophthalmology, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
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25
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Bai H, Zhang X, Bush WS. Pharmacogenomic and Statistical Analysis. Methods Mol Biol 2023; 2629:305-330. [PMID: 36929083 DOI: 10.1007/978-1-0716-2986-4_14] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Abstract
Genetic variants can alter response to drugs and other therapeutic interventions. The study of this phenomenon, called pharmacogenomics, is similar in many ways to other types of genetic studies but has distinct methodological and statistical considerations. Genetic variants involved in the processing of exogenous compounds exhibit great diversity and complexity, and the phenotypes studied in pharmacogenomics are also more complex than typical genetic studies. In this chapter, we review basic concepts in pharmacogenomic study designs, data generation techniques, statistical analysis approaches, and commonly used methods and briefly discuss the ultimate translation of findings to clinical care.
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Affiliation(s)
- Haimeng Bai
- Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
- Department of Nutrition, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Xueyi Zhang
- Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
| | - William S Bush
- Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA.
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26
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Tejeda M, Farrell J, Zhu C, Wetzler L, Lunetta KL, Bush WS, Martin ER, Wang L, Schellenberg GD, Pericak‐Vance MA, Haines JL, Farrer LA, Sherva R. Multiple Viruses Detected in Human DNA are Associated with Alzheimer Disease Risk. Alzheimers Dement 2022. [DOI: 10.1002/alz.065753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
| | - John Farrell
- Boston University School of Medicine Boston MA USA
| | - Congcong Zhu
- Boston University School of Medicine Boston MA USA
| | - Lee Wetzler
- Boston University School of Medicine Boston MA USA
| | | | - William S. Bush
- Department of Population and Quantitative Health Sciences, Case Western Reserve University Cleveland OH USA
| | - Eden R Martin
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine Miami FL USA
| | - Li‐San Wang
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine Philadelphia PA USA
| | | | - Margaret A. Pericak‐Vance
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami Miami FL USA
| | - Jonathan L. Haines
- Cleveland Institute for Computational Biology, Department of Population and Quantitative Health Sciences, Case Western Reserve University Cleveland OH USA
| | - Lindsay A. Farrer
- Boston University School of Medicine Boston MA USA
- Boston University School of Public Health Boston MA USA
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27
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Contreras AG, Walters S, Mukherjee S, Lee ML, Choi S, Scollard P, Trittschuh EH, Mez JB, Bush WS, Engelman CD, Lu Q, Fardo DW, Widaman KF, Buckley RF, Mormino EC, Kunkle BW, Naj AC, Clark LR, Gifford KA, Cuccaro ML, Cruchaga C, Pericak‐Vance MA, Farrer LA, Wang L, Schellenberg GD, Haines JL, Jefferson AL, Johnson SC, Kukull WA, Albert MS, Keene CD, Saykin AJ, Larson EB, Sperling RA, Mayeux R, Thompson PM, Martin ER, Bennett DA, Barnes LL, Schneider JA, Crane PK, Hohman TJ, Dumitrescu L. Sex differences in
APOE
effects on cognition are domain‐specific. Alzheimers Dement 2022. [DOI: 10.1002/alz.068262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Alex G Contreras
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center Nashville IN USA
| | - Skylar Walters
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center Nashville TN USA
| | | | | | | | | | | | - Jesse B. Mez
- Boston University School of Medicine Boston MA USA
| | - William S. Bush
- Case Western Reserve University School of Medicine Cleveland OH USA
| | - Corinne D. Engelman
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Qiongshi Lu
- University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - David W. Fardo
- University of Kentucky / Sanders‐Brown Center on Aging Lexington KY USA
| | | | - Rachel F. Buckley
- Massachusetts General Hospital, Harvard Medical School Boston MA USA
| | | | - Brian W. Kunkle
- John P. Hussman Institute for Human Genomics, Miller School of Medicine Miami FL USA
| | - Adam C. Naj
- University of Pennsylvania, Perelman School of Medicine, Department of Biostatistics and Epidemiology/Center for Clinical Epidemiology and Biostatistics Philadelphia PA USA
| | - Lindsay R. Clark
- Wisconsin Alzheimer’s Institute, University of Wisconsin‐Madison School of Medicine and Public Health Madison WI USA
| | | | | | | | - Margaret A. Pericak‐Vance
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami Miami FL USA
| | - Lindsay A. Farrer
- Boston University School of Medicine, Department of Medicine, Biomedical Genetics Boston MA USA
| | - Li‐San Wang
- University of Pennsylvania Philadelphia PA USA
| | - Gerard D. Schellenberg
- University of Pennsylvania, Perelman School of Medicine, Path & Lab Med, Stellar Chance Philadelphia PA USA
| | - Jonathan L. Haines
- Case Western Reserve University School of Medicine, Department of Population & Quantitative Health Sciences, Cleveland Institute for Computational Biology Cleveland OH USA
| | - Angela L. Jefferson
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center Nashville TN USA
| | - Sterling C. Johnson
- Wisconsin Alzheimer's Disease Research Center Madison WI USA
- University of Wisconsin‐Madison Madison WI USA
| | - Walter A. Kukull
- University of Washington Seattle WA USA
- National Alzheimer's Coordinating Center, University of Washington Seattle WA USA
| | | | | | | | | | - Reisa A. Sperling
- Massachusetts General Hospital, Harvard Medical SchoolDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School Boston MA USA
| | | | - Paul M Thompson
- Keck School of Medicine, University of Southern California Los Angeles CA USA
| | - Eden R. Martin
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami Miami FL USA
| | - David A Bennett
- Rush Alzheimer’s Disease Center and Department of Neurological Sciences, Rush University Medical Center Chicago IL USA
| | - Lisa L. Barnes
- Rush Alzheimer's Disease Center, Rush University Medical Center Chicago IL USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center Chicago IL USA
| | - Paul K. Crane
- University of Washington Alzheimer’s Disease Research Center, University of Washington School of Medicine Seattle WA USA
| | - Timothy J. Hohman
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center Nashville TN USA
| | - Logan Dumitrescu
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center Nashville TN USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center Nashville TN USA
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28
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Zhang X, Guo S, Naj AC, Below J, Kunkle BW, Dumitrescu L, Martin ER, Bush WS. Modeling gene expression on the X chromosome in the brain for transcriptome‐wide association studies. Alzheimers Dement 2022. [DOI: 10.1002/alz.063533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Xueyi Zhang
- Case Western Reserve University Cleveland OH USA
| | - Shengru Guo
- University of Miami Miller School of Medicine Miami FL USA
| | - Adam C. Naj
- University of Pennsylvania, Perelman School of Medicine, Department of Biostatistics and Epidemiology/Center for Clinical Epidemiology and Biostatistics Philadelphia PA USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine Philadelphia PA USA
| | | | - Brian W. Kunkle
- University of Miami, Miller School of Medicine, John P. Hussman Institute for Human Genomics Miami FL USA
| | - Logan Dumitrescu
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center Nashville TN USA
| | - Eden R. Martin
- University of Miami, Miller School of Medicine, John P. Hussman Institute for Human Genomics Miami FL USA
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine Miami FL USA
| | - William S. Bush
- Case Western Reserve University School of Medicine Cleveland OH USA
- Cleveland Institute for Computational Biology, Case Western Reserve University Cleveland OH USA
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29
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Mews M, Naj AC, Below J, Bush WS. Leveraging the use of meta‐analysis summary statistics to improve gene expression prediction models. Alzheimers Dement 2022. [DOI: 10.1002/alz.068186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Makaela Mews
- Case Western Reserve University Cleveland OH USA
| | - Adam C. Naj
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine Philadelphia PA USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine Philadelphia PA USA
| | - Jennifer Below
- Vanderbilt Genetics Institute and Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center Nashville TN USA
| | - William S. Bush
- Cleveland Institute for Computational Biology, Department of Population and Quantitative Health Sciences, Case Western Reserve University Cleveland OH USA
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30
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Osterman MD, Song YE, Wheeler NR, Laux RA, Adams LD, Caywood LJ, Prough MB, Clouse JE, Herington SD, Slifer SH, Lynn A, Bartlett J, Fuzzell MD, Fuzzell SL, Hochstetler SD, Miskimen KL, Main LR, Dorfsman DA, Ogrocki PK, Lerner AJ, Vance JM, Cuccaro ML, Bush WS, Scott WK, Pericak‐Vance MA, Haines JL. Assessing a Network‐Specific Polygenic Risk Score for Alzheimer’s Disease in the Midwestern Amish and Across Diverse Ancestries. Alzheimers Dement 2022. [DOI: 10.1002/alz.067210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Michael D. Osterman
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine Cleveland OH USA
| | - Yeunjoo E. Song
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine Cleveland OH USA
| | | | - Renee A. Laux
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine Cleveland OH USA
| | - Larry D. Adams
- University of Miami Miller School of Medicine Miami FL USA
| | | | | | | | | | | | - Audrey Lynn
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine Cleveland OH USA
| | | | - M. Denise Fuzzell
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine Cleveland OH USA
| | - Sarada L. Fuzzell
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine Cleveland OH USA
| | | | - Kristy L. Miskimen
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine Cleveland OH USA
| | - Leighanne R. Main
- Department of Genetics and Genome Sciences, Case Western Reserve University School of Medicine Cleveland OH USA
| | | | - Paula K. Ogrocki
- Department of Neurology, Case Western Reserve University School of Medicine Cleveland OH USA
- University Hospitals Cleveland Medical Center Cleveland OH USA
| | - Alan J. Lerner
- Department of Neurology, Case Western Reserve University School of Medicine Cleveland OH USA
- University Hospitals Cleveland Medical Center Cleveland OH USA
| | | | | | - William S. Bush
- Case Western Reserve University School of Medicine Cleveland OH USA
| | | | | | - Jonathan L. Haines
- Case Western Reserve University School of Medicine, Department of Population & Quantitative Health Sciences, Cleveland Institute for Computational Biology Cleveland OH USA
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Eissman JM, Smith AN, Mukherjee S, Lee ML, Choi S, Scollard P, Trittschuh EH, Mez JB, Bush WS, Engelman CD, Lu Q, Fardo DW, Widaman KF, Buckley RF, Mormino EC, Kunkle BW, Naj AC, Clark LR, Gifford KA, Cuccaro ML, Cruchaga C, Pericak‐Vance MA, Farrer LA, Wang L, Schellenberg GD, Haines JL, Jefferson AL, Johnson SC, Kukull WA, Albert MS, Keene CD, Saykin AJ, Larson EB, Sperling RA, Mayeux R, Thompson PM, Martin ER, Bennett DA, Barnes LL, Schneider JA, Crane PK, Hohman TJ, Dumitrescu L. Sex‐specific genetic predictors of memory, executive function, and language performance. Alzheimers Dement 2022. [DOI: 10.1002/alz.067842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Jaclyn M. Eissman
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center Nashville TN USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center Nashville TN USA
| | - Alexandra N. Smith
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center Nashville TN USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center Nashville TN USA
| | | | | | | | | | | | - Jesse B. Mez
- Boston University School of Medicine Boston MA USA
| | - William S. Bush
- Cleveland Institute for Computational Biology, Case Western Reserve University Cleveland OH USA
| | | | - Qiongshi Lu
- University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - David W. Fardo
- College of Public Health, University of Kentucky Lexington KY USA
- Sanders‐Brown Center on Aging, University of Kentucky Lexington KY USA
| | | | - Rachel F. Buckley
- Massachusetts General Hospital, Harvard Medical School Boston MA USA
- Melbourne School of Psychological Sciences, University of Melbourne Melbourne VIC Australia
- Center for Alzheimer’s Research and Treatment, Brigham and Women’s Hospital/Harvard Medical School Boston MA USA
| | | | - Brian W. Kunkle
- John P. Hussman Institute for Human Genomics, Miller School of Medicine Miami FL USA
| | - Adam C. Naj
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine Philadelphia PA USA
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine Philadelphia PA USA
| | - Lindsay R. Clark
- University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Katherine A. Gifford
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center Nashville TN USA
| | - Michael L. Cuccaro
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami Miami FL USA
| | | | - Margaret A. Pericak‐Vance
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami Miami FL USA
| | - Lindsay A. Farrer
- Boston University School of Medicine Boston MA USA
- Boston University School of Public Health Boston MA USA
| | - Li‐San Wang
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine Philadelphia PA USA
| | - Gerard D. Schellenberg
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine Philadelphia PA USA
| | - Jonathan L. Haines
- Cleveland Institute for Computational Biology, Case Western Reserve University Cleveland OH USA
| | - Angela L. Jefferson
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center Nashville TN USA
| | | | | | - Marilyn S. Albert
- Department of Neurology, Johns Hopkins University School of Medicine Baltimore MD USA
| | | | - Andrew J. Saykin
- Indiana Alzheimer’s Disease Research Center, Indiana University School of Medicine Indianapolis IN USA
- Indiana University School of Medicine Indianapolis IN USA
| | - Eric B Larson
- University of Washington Seattle WA USA
- Kaiser Permanente Washington Health Research Institute Seattle WA USA
| | - Reisa A. Sperling
- Massachusetts General Hospital, Harvard Medical School Boston MA USA
- Center for Alzheimer’s Research and Treatment, Brigham and Women’s Hospital/Harvard Medical School Boston MA USA
| | - Richard Mayeux
- Columbia University New York NY USA
- The Taub Institute for Research on Alzheimer’s Disease and The Aging Brain, Columbia University New York NY USA
- The Institute for Genomic Medicine, Columbia University Medical Center and The New York Presbyterian Hospital New York NY USA
| | - Paul M Thompson
- Keck School of Medicine, University of Southern California Los Angeles CA USA
| | - Eden R Martin
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami Miami FL USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center Chicago IL USA
| | - Lisa L. Barnes
- Rush Alzheimer's Disease Center, Rush University Medical Center Chicago IL USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center Chicago IL USA
| | | | - Timothy J. Hohman
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center Nashville TN USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center Nashville TN USA
| | - Logan Dumitrescu
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center Nashville TN USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center Nashville TN USA
| | | | | | | | | |
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Phillips J, Dumitrescu L, Archer DB, Smith AN, Mukherjee S, Lee ML, Choi S, Scollard P, Trittschuh EH, Mez JB, Mahoney ER, Bush WS, Engelman CD, Lu Q, Fardo DW, Widaman KF, Buckley RF, Mormino EC, Harrison TM, Sanders E, Clark LR, Gifford KA, Vardarajan BN, Cuccaro ML, Pericak‐Vance MA, Farrer LA, Wang L, Schellenberg GD, Haines JL, Jefferson AL, Johnson SC, Kukull WA, Albert MS, Keene CD, Saykin AJ, Larson EB, Sperling RA, Mayeux R, Goate A, Neuner S, Renton AE, Marcora E, Fulton‐Howard B, Patel T, Bennett DA, Schneider JA, Crane PK, Hohman TJ. Longitudinal GWAS Identifies Novel Genetic Variants and Complex Traits Associated with Resilience to Alzheimer’s Disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.067816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Jared Phillips
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center Nashville TN USA
| | - Logan Dumitrescu
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center Nashville TN USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center Nashville TN USA
| | - Derek B Archer
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center Nashville TN USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center Nashville TN USA
| | - Alexandra N. Smith
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center Nashville TN USA
| | | | | | | | | | - Emily H. Trittschuh
- Geriatric Research, Education, and Clinical Center, Veterans Affairs Puget Sound Health Care System Seattle WA USA
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine Seattle WA USA
| | - Jesse B. Mez
- Boston University School of Medicine Boston MA USA
| | - Emily R. Mahoney
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center Nashville TN USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center Nashville TN USA
| | - William S. Bush
- Cleveland Institute for Computational Biology, Case Western Reserve University Cleveland OH USA
| | - Corinne D Engelman
- University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Qiongshi Lu
- University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - David W. Fardo
- College of Public Health, University of Kentucky Lexington KY USA
- Sanders‐Brown Center on Aging, University of Kentucky Lexington KY USA
| | | | - Rachel F. Buckley
- Center for Alzheimer’s Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School Boston MA USA
- Melbourne School of Psychological Sciences, University of Melbourne Melbourne VIC Australia
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School Boston MA USA
| | - Elizabeth C. Mormino
- Department of Neurology and Neurological Sciences, Stanford University Stanford CA USA
| | | | | | - Lindsay R. Clark
- University of Wisconsin School of Medicine and Public Health Madison WI USA
| | - Katherine A. Gifford
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center Nashville TN USA
| | - Badri N. Vardarajan
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York Presbyterian Hospital New York NY USA
- The Taub Institute for Research on Alzheimer’s Disease and The Aging Brain, Columbia University New York NY USA
- The Institute for Genomic Medicine, Columbia University Medical Center and The New York Presbyterian Hospital New York NY USA
- Department of Neurology, Columbia University New York NY USA
| | - Michael L. Cuccaro
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine Miami FL USA
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami Miami FL USA
| | - Margaret A. Pericak‐Vance
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine Miami FL USA
| | - Lindsay A. Farrer
- Department of Neurology, Boston University School of Medicine Boston MA USA
- Department of Biostatistics, Boston University School of Public Health Boston MA USA
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine Boston MA USA
| | - Li‐San Wang
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine Philadelphia PA USA
| | - Gerard D. Schellenberg
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
| | - Jonathan L. Haines
- Cleveland Institute for Computational Biology, Case Western Reserve University Cleveland OH USA
| | - Angela L. Jefferson
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center Nashville TN USA
| | | | | | - Marilyn S. Albert
- Department of Neurology, Division of Cognitive Neuroscience, John’s Hopkins University School of Medicine Baltimore MD USA
| | - C Dirk Keene
- Department of Laboratory Medicine and Pathology, University of Washington Seattle WA USA
| | - Andrew J. Saykin
- Department of Radiology and Imaging Services, Indiana University School of Medicine Indianapolis IN USA
| | - Eric B Larson
- University of Washington Seattle WA USA
- Kaiser Permanente Washington Health Research Institute Seattle WA USA
| | - Reisa A. Sperling
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School Boston MA USA
| | - Richard Mayeux
- The Taub Institute for Research on Alzheimer’s Disease and The Aging Brain, Columbia University New York NY USA
- The Institute for Genomic Medicine, Columbia University Medical Center and The New York Presbyterian Hospital New York NY USA
- Columbia University, Departments of Neurology, Psychiatry, and Epidemiology, Gertrude H. Sergievsky Center, The Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons New York NY USA
| | - Alison Goate
- Ronald M. Loeb Center for Alzheimer’s Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai New York NY USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai New York NY USA
| | - Sarah Neuner
- Ronald M. Loeb Center for Alzheimer’s Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai New York NY USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai New York NY USA
| | - Alan E. Renton
- Ronald M. Loeb Center for Alzheimer’s Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai New York NY USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai New York NY USA
| | - Edoardo Marcora
- Ronald M. Loeb Center for Alzheimer’s Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai New York NY USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai New York NY USA
| | - Brian Fulton‐Howard
- Ronald M. Loeb Center for Alzheimer’s Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai New York NY USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai New York NY USA
| | - Tulsi Patel
- Ronald M. Loeb Center for Alzheimer’s Disease, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai New York NY USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai New York NY USA
| | - David A Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center Chicago IL USA
| | - Julie A Schneider
- Rush Alzheimer’s Disease Center, Rush University Medical Center Chicago IL USA
| | | | - Timothy J. Hohman
- Vanderbilt Memory & Alzheimer’s Center, Vanderbilt University Medical Center Nashville TN USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center Nashville TN USA
| | | | | | | |
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Li D, Farrell J, Mez JB, Martin ER, Bush WS, Mayeux R, Haines JL, Pericak‐Vance MA, Wang L, Schellenberg GD, Lunetta KL, Farrer LA. Novel Loci for Alzheimer Disease Identified by Genome Wide Association Study in Ashkenazi Jews. Alzheimers Dement 2022. [DOI: 10.1002/alz.062075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Donghe Li
- Boston University School of Medicine Boston MA USA
| | - John Farrell
- Boston University School of Medicine Boston MA USA
| | - Jesse B. Mez
- Boston University School of Medicine Boston MA USA
| | - Eden R. Martin
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine Miami FL USA
| | - William S. Bush
- Cleveland Institute for Computational Biology, Case Western Reserve University Cleveland OH USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University Cleveland OH USA
| | - Richard Mayeux
- The Taub Institute for Research on Alzheimer’s Disease and The Aging Brain, Columbia University New York NY USA
| | - Jonathan L. Haines
- Cleveland Institute for Computational Biology, Department of Population and Quantitative Health Sciences, Case Western Reserve University Cleveland OH USA
- Case Western Reserve University School of Medicine Cleveland OH USA
| | - Margaret A. Pericak‐Vance
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine Miami FL USA
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine Miami FL USA
- Department of Neurology, University of Miami Miller School of Medicine Miami FL USA
| | - Li‐San Wang
- Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
| | | | | | - Lindsay A. Farrer
- Boston University School of Medicine Boston MA USA
- Boston University School of Public Health Boston MA USA
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Mustafa Y, Naj AC, Bush WS, Below J. Identifying context‐specific genetic variants and molecular pathways associated with resilience to Alzheimer’s disease in the induced immune response. Alzheimers Dement 2022. [DOI: 10.1002/alz.067857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
| | - Adam C. Naj
- University of Pennsylvania, Perelman School of Medicine, Department of Biostatistics and Epidemiology/Center for Clinical Epidemiology and Biostatistics Philadelphia PA USA
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35
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Greenfest‐Allen E, Kuksa PP, Kuzma AB, Valladares O, Lee W, Wheeler NR, Bush WS, Leung YY, Stoeckert CJ, Wang L. NIAGADS Alzheimer’s Genomics Database: version GRCh38. Alzheimers Dement 2022. [DOI: 10.1002/alz.064622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Emily Greenfest‐Allen
- Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
| | - Pavel P. Kuksa
- Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
| | - Amanda B Kuzma
- Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
| | - Otto Valladares
- Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
| | - Wan‐Ping Lee
- Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
- Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
| | - Nicholas R. Wheeler
- Department of Population and Quantitative Health Sciences, Case Western Reserve University Cleveland OH USA
| | - William S. Bush
- Department of Population and Quantitative Health Sciences, Case Western Reserve University Cleveland OH USA
| | - Yuk Yee Leung
- Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
- Institute on Aging, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine Philadelphia PA USA
| | - Christian J Stoeckert
- Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
| | - Li‐San Wang
- Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
- Institute on Aging, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine Philadelphia PA USA
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36
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Naj AC, Reitz C, Rajabli F, Jun GR, Benchek P, Tosto G, Sha J, Zhu C, Kushch NA, Lee W, Haut J, Hamilton‐Nelson KL, Wheeler NR, Zhao Y, Farrell J, Chung J, Grunin M, Leung YY, Li D, da Fonseca EL, Mez JB, Palmer EL, Pillai JA, Sherva R, Song YE, Zhang X, Iqbal T, Pathak O, Valladares O, Kuzma AB, Kunkle BW, Bush WS, Wang L, Farrer LA, Haines JL, Mayeux R, Pericak‐Vance MA, Schellenberg GD. Multi‐Ancestry Genome‐wide Association Analysis of Late‐Onset Alzheimer’s Disease (LOAD) in 60,941 Individuals Identifies a Novel Cross‐Ancestry Association in
LRRC4C. Alzheimers Dement 2022. [DOI: 10.1002/alz.065822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Adam C. Naj
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine Philadelphia PA USA
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine Philadelphia PA USA
| | - Christiane Reitz
- Gertrude H. Sergievsky Center, Taub Institute for Research on the Aging Brain, Departments of Neurology, Psychiatry, and Epidemiology, College of Physicians and Surgeons, Columbia University New York NY USA
- The Taub Institute for Research on Alzheimer’s Disease and The Aging Brain, Columbia University New York NY USA
| | - Farid Rajabli
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine Miami FL USA
| | - Gyungah R Jun
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine Boston MA USA
- Department of Biostatistics, Boston University School of Public Health Boston MA USA
| | - Penelope Benchek
- Department of Population and Quantitative Health Sciences, Case Western Reserve University Cleveland OH USA
| | - Giuseppe Tosto
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University New York NY USA
- G.H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia University New York NY USA
| | - Jin Sha
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine Philadelphia PA USA
| | - Congcong Zhu
- Boston University School of Medicine Boston MA USA
| | - Nicholas A. Kushch
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami Miami FL USA
| | - Wan‐Ping Lee
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
- Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
| | - Jacob Haut
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
| | - Kara L. Hamilton‐Nelson
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami Miami FL USA
| | - Nicholas R. Wheeler
- Department of Population and Quantitative Health Sciences, Case Western Reserve University Cleveland OH USA
| | - Yi Zhao
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
| | - John Farrell
- Boston University School of Medicine Boston MA USA
| | | | - Michelle Grunin
- Department of Population and Quantitative Health Sciences, Case Western Reserve University Cleveland OH USA
| | - Yuk Yee Leung
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
- Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
| | - Donghe Li
- Boston University School of Medicine Boston MA USA
| | - Eder Lucio da Fonseca
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami Miami FL USA
| | - Jesse B. Mez
- Boston University School of Medicine Boston MA USA
- Boston University Alzheimer’s Disease Research Center Boston MA USA
| | - Ellen L Palmer
- Department of Population and Quantitative Health Sciences, Case Western Reserve University Cleveland OH USA
| | - Jagan A. Pillai
- Cleveland Clinic Neurological Institute Cleveland OH USA
- Cleveland Clinic Lou Ruvo Center for Brain Health Cleveland OH USA
| | - Richard Sherva
- Boston University School of Medicine Boston MA USA
- National Center for PTSD, VA Boston Healthcare System Boston MA USA
| | - Yeunjoo E. Song
- Department of Population and Quantitative Health Sciences, Case Western Reserve University Cleveland OH USA
| | - Xiaoling Zhang
- Boston University School of Medicine Boston MA USA
- Boston University School of Public Health Boston MA USA
| | - Taha Iqbal
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
| | - Omkar Pathak
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
| | - Otto Valladares
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
- Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
| | - Amanda B Kuzma
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
- Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
| | - Brian W. Kunkle
- John P. Hussman Institute for Human Genomics, Miller School of Medicine Miami FL USA
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine Miami FL USA
| | - William S. Bush
- Cleveland Institute for Computational Biology, Department of Population and Quantitative Health Sciences, Case Western Reserve University Cleveland OH USA
| | - Li‐San Wang
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine Philadelphia PA USA
- Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
| | - Lindsay A. Farrer
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine Boston MA USA
- Department of Biostatistics, Boston University School of Public Health Boston MA USA
- Department of Ophthalmology, Boston University School of Medicine Boston MA USA
- Department of Neurology, Boston University School of Medicine Boston MA USA
- Department of Epidemiology, Boston University School of Public Health Boston MA USA
| | - Jonathan L. Haines
- Cleveland Institute for Computational Biology, Department of Population and Quantitative Health Sciences, Case Western Reserve University Cleveland OH USA
| | - Richard Mayeux
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University New York NY USA
- G.H. Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia University New York NY USA
| | - Margaret A. Pericak‐Vance
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami Miami FL USA
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine Miami FL USA
| | - Gerard D. Schellenberg
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA
| | | |
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Griswold AJ, Gu T, Van Booven D, Whitehead PL, Hamilton‐Nelson KL, Contreras M, Sanchez JJ, Tejada S, Adams LD, Mena PR, Bush WS, Silva‐Vergara C, Cornejo‐Olivas M, Illanes‐Manrique M, Cuccaro ML, Vance JM, Feliciano‐Astacio BE, Beecham GW, Pericak‐Vance MA. Transcriptomic Analysis of Whole Blood in Admixed Latinx Alzheimer Disease Cohorts. Alzheimers Dement 2022. [DOI: 10.1002/alz.067801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Anthony J. Griswold
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami Miami FL USA
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine Miami FL USA
| | - Tianjie Gu
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami Miami FL USA
| | - Derek Van Booven
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami Miami FL USA
| | - Patrice L. Whitehead
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami Miami FL USA
| | - Kara L. Hamilton‐Nelson
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami Miami FL USA
| | - Maricarmen Contreras
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami Miami FL USA
| | - Jose Javier Sanchez
- John P. Hussman Institute for Human Genomics, University of Miami Miami FL USA
| | - Sergio Tejada
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami Miami FL USA
| | - Larry D. Adams
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine Miami FL USA
| | - Pedro Ramon Mena
- John P. Hussman Institute for Human Genomics, University of Miami Miami FL USA
| | - William S. Bush
- Cleveland Institute for Computational Biology, Case Western Reserve University Cleveland OH USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University Cleveland OH USA
| | | | - Mario Cornejo‐Olivas
- Neurogenetics Research Center, Instituto Nacional de Ciencias Neurológicas Lima Peru
| | | | - Michael L. Cuccaro
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine Miami FL USA
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine Miami FL USA
| | - Jeffery M. Vance
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine Miami FL USA
- John P. Hussman Institute for Human Genomics, University of Miami Miami FL USA
| | | | - Gary W. Beecham
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami Miami FL USA
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine Miami FL USA
| | - Margaret A. Pericak‐Vance
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami Miami FL USA
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine Miami FL USA
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Gardner OK, Van Booven D, Wang L, Gu T, Hofmann NK, Whitehead PL, Nuytemans K, Hamilton-Nelson KL, Adams LD, Starks TD, Cuccaro ML, Martin ER, Vance JM, Bush WS, Byrd GS, Haines JL, Beecham GW, Pericak-Vance MA, Griswold AJ. Genetic architecture of RNA editing regulation in Alzheimer's disease across diverse ancestral populations. Hum Mol Genet 2022; 31:2876-2886. [PMID: 35383839 PMCID: PMC9433728 DOI: 10.1093/hmg/ddac075] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 03/24/2022] [Accepted: 03/27/2022] [Indexed: 11/14/2022] Open
Abstract
Most Alzheimer's disease (AD)-associated genetic variants do not change protein coding sequence and thus likely exert their effects through regulatory mechanisms. RNA editing, the post-transcriptional modification of RNA bases, is a regulatory feature that is altered in AD patients that differs across ancestral backgrounds. Editing QTLs (edQTLs) are DNA variants that influence the level of RNA editing at a specific site. To study the relationship of DNA variants genome-wide, and particularly in AD-associated loci, with RNA editing, we performed edQTL analyses in self-reported individuals of African American (AF) or White (EU) race with corresponding global genetic ancestry averaging 82.2% African ancestry (AF) and 96.8% European global ancestry (EU) in the two groups, respectively. We used whole-genome genotyping array and RNA sequencing data from peripheral blood of 216 AD cases and 212 age-matched, cognitively intact controls. We identified 2144 edQTLs in AF and 3579 in EU, of which 1236 were found in both groups. Among these, edQTLs in linkage disequilibrium (r2 > 0.5) with AD-associated genetic variants in the SORL1, SPI1 and HLA-DRB1 loci were associated with sites that were differentially edited between AD cases and controls. While there is some shared RNA editing regulatory architecture, most edQTLs had distinct effects on the rate of RNA editing in different ancestral populations suggesting a complex architecture of RNA editing regulation. Altered RNA editing may be one possible mechanism for the functional effect of AD-associated variants and may contribute to observed differences in the genetic etiology of AD between ancestries.
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Affiliation(s)
- Olivia K Gardner
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Derek Van Booven
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Lily Wang
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
- Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Tianjie Gu
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Natalia K Hofmann
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Patrice L Whitehead
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Karen Nuytemans
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
- Maya Angelou Center for Health Equity, Wake Forest University, Winston-Salem, NC 27101, USA
| | - Kara L Hamilton-Nelson
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Larry D Adams
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Takiyah D Starks
- Maya Angelou Center for Health Equity, Wake Forest University, Winston-Salem, NC 27101, USA
| | - Michael L Cuccaro
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
- Department of Human Genetics, Dr. John T Macdonald Foundation, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Eden R Martin
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
- Department of Human Genetics, Dr. John T Macdonald Foundation, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Jeffery M Vance
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
- Department of Human Genetics, Dr. John T Macdonald Foundation, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - William S Bush
- Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USA
- Cleveland Institute for Computational Biology, Cleveland, OH 44106, USA
| | - Goldie S Byrd
- Maya Angelou Center for Health Equity, Wake Forest University, Winston-Salem, NC 27101, USA
| | - Jonathan L Haines
- Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USA
- Cleveland Institute for Computational Biology, Cleveland, OH 44106, USA
| | - Gary W Beecham
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
- Department of Human Genetics, Dr. John T Macdonald Foundation, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Margaret A Pericak-Vance
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
- Department of Human Genetics, Dr. John T Macdonald Foundation, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Anthony J Griswold
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
- Department of Human Genetics, Dr. John T Macdonald Foundation, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
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Eissman JM, Dumitrescu L, Mahoney ER, Smith AN, Mukherjee S, Lee ML, Scollard P, Choi SE, Bush WS, Engelman CD, Lu Q, Fardo DW, Trittschuh EH, Mez J, Kaczorowski CC, Hernandez Saucedo H, Widaman KF, Buckley RF, Properzi MJ, Mormino EC, Yang HS, Harrison TM, Hedden T, Nho K, Andrews SJ, Tommet D, Hadad N, Sanders RE, Ruderfer DM, Gifford KA, Zhong X, Raghavan NS, Vardarajan BN, Pericak-Vance MA, Farrer LA, Wang LS, Cruchaga C, Schellenberg GD, Cox NJ, Haines JL, Keene CD, Saykin AJ, Larson EB, Sperling RA, Mayeux R, Cuccaro ML, Bennett DA, Schneider JA, Crane PK, Jefferson AL, Hohman TJ. Sex differences in the genetic architecture of cognitive resilience to Alzheimer's disease. Brain 2022; 145:2541-2554. [PMID: 35552371 PMCID: PMC9337804 DOI: 10.1093/brain/awac177] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 04/07/2022] [Accepted: 04/14/2022] [Indexed: 12/04/2022] Open
Abstract
Approximately 30% of elderly adults are cognitively unimpaired at time of death despite the presence of Alzheimer's disease neuropathology at autopsy. Studying individuals who are resilient to the cognitive consequences of Alzheimer's disease neuropathology may uncover novel therapeutic targets to treat Alzheimer's disease. It is well established that there are sex differences in response to Alzheimer's disease pathology, and growing evidence suggests that genetic factors may contribute to these differences. Taken together, we sought to elucidate sex-specific genetic drivers of resilience. We extended our recent large scale genomic analysis of resilience in which we harmonized cognitive data across four cohorts of cognitive ageing, in vivo amyloid PET across two cohorts, and autopsy measures of amyloid neuritic plaque burden across two cohorts. These data were leveraged to build robust, continuous resilience phenotypes. With these phenotypes, we performed sex-stratified [n (males) = 2093, n (females) = 2931] and sex-interaction [n (both sexes) = 5024] genome-wide association studies (GWAS), gene and pathway-based tests, and genetic correlation analyses to clarify the variants, genes and molecular pathways that relate to resilience in a sex-specific manner. Estimated among cognitively normal individuals of both sexes, resilience was 20-25% heritable, and when estimated in either sex among cognitively normal individuals, resilience was 15-44% heritable. In our GWAS, we identified a female-specific locus on chromosome 10 [rs827389, β (females) = 0.08, P (females) = 5.76 × 10-09, β (males) = -0.01, P(males) = 0.70, β (interaction) = 0.09, P (interaction) = 1.01 × 10-04] in which the minor allele was associated with higher resilience scores among females. This locus is located within chromatin loops that interact with promoters of genes involved in RNA processing, including GATA3. Finally, our genetic correlation analyses revealed shared genetic architecture between resilience phenotypes and other complex traits, including a female-specific association with frontotemporal dementia and male-specific associations with heart rate variability traits. We also observed opposing associations between sexes for multiple sclerosis, such that more resilient females had a lower genetic susceptibility to multiple sclerosis, and more resilient males had a higher genetic susceptibility to multiple sclerosis. Overall, we identified sex differences in the genetic architecture of resilience, identified a female-specific resilience locus and highlighted numerous sex-specific molecular pathways that may underly resilience to Alzheimer's disease pathology. This study illustrates the need to conduct sex-aware genomic analyses to identify novel targets that are unidentified in sex-agnostic models. Our findings support the theory that the most successful treatment for an individual with Alzheimer's disease may be personalized based on their biological sex and genetic context.
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Affiliation(s)
- Jaclyn M Eissman
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical
Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical
Center, Nashville, TN, USA
| | - Logan Dumitrescu
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical
Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical
Center, Nashville, TN, USA
| | - Emily R Mahoney
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical
Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical
Center, Nashville, TN, USA
| | - Alexandra N Smith
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical
Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical
Center, Nashville, TN, USA
| | | | - Michael L Lee
- Department of Medicine, University of Washington,
Seattle, WA, USA
| | - Phoebe Scollard
- Department of Medicine, University of Washington,
Seattle, WA, USA
| | - Seo Eun Choi
- Department of Medicine, University of Washington,
Seattle, WA, USA
| | - William S Bush
- Cleveland Institute for Computational Biology, Department of Population and
Quantitative Health Sciences, Case Western Reserve University,
Cleveland, OH, USA
| | - Corinne D Engelman
- Department of Population Health Sciences, School of Medicine and Public
Health, University of Wisconsin-Madison, Madison,
WI, USA
| | - Qiongshi Lu
- Department of Statistics, University of Wisconsin-Madison,
Madison, WI, USA
- Department of Biostatistics and Medical Informatics, University of
Wisconsin-Madison, Madison, WI, USA
| | - David W Fardo
- Department of Biostatistics, College of Public Health, University of
Kentucky, Lexington, KY, USA
- Sanders-Brown Center on Aging, University of Kentucky,
Lexington, KY, USA
| | - Emily H Trittschuh
- Department of Psychiatry and Behavioral Sciences, University of Washington
School of Medicine, Seattle, WA, USA
- VA Puget Sound Health Care System, GRECC, Seattle,
WA, USA
| | - Jesse Mez
- Department of Neurology, Boston University School of
Medicine, Boston, MA, USA
| | | | - Hector Hernandez Saucedo
- UC Davis Alzheimer's Disease Research Center, Department of Neurology,
University of California Davis Medical Center, Sacramento,
CA, USA
| | | | - Rachel F Buckley
- Department of Neurology, Massachusetts General Hospital/Harvard Medical
School, Boston, MA, USA
- Center for Alzheimer's Research and Treatment, Department of Neurology,
Brigham and Women’s Hospital/Harvard Medical School, Boston,
MA, USA
- Melbourne School of Psychological Sciences, University of
Melbourne, Melbourne, Australia
| | - Michael J Properzi
- Department of Neurology, Massachusetts General Hospital/Harvard Medical
School, Boston, MA, USA
| | - Elizabeth C Mormino
- Department of Neurology and Neurological Sciences, Stanford
University, Stanford, CA, USA
| | - Hyun Sik Yang
- Department of Neurology, Massachusetts General Hospital/Harvard Medical
School, Boston, MA, USA
- Center for Alzheimer's Research and Treatment, Department of Neurology,
Brigham and Women’s Hospital/Harvard Medical School, Boston,
MA, USA
| | - Theresa M Harrison
- Helen Wills Neuroscience Institute, University of California
Berkeley, Berkeley, CA, USA
| | - Trey Hedden
- Icahn School of Medicine at Mount Sinai, New York
City, NY, USA
| | - Kwangsik Nho
- Department of Radiology and Imaging Sciences, Indiana Alzheimer Disease
Center, Indiana University School of Medicine, Indianapolis,
IN, USA
- Center for Computational Biology and Bioinformatics, Indiana University
School of Medicine, Indianapolis, IN, USA
| | - Shea J Andrews
- Icahn School of Medicine at Mount Sinai, New York
City, NY, USA
| | - Douglas Tommet
- Department of Psychiatry and Human Behavior, Brown University School of
Medicine, Providence, RI, USA
| | | | | | - Douglas M Ruderfer
- Vanderbilt Genetics Institute, Vanderbilt University Medical
Center, Nashville, TN, USA
| | - Katherine A Gifford
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical
Center, Nashville, TN, USA
| | - Xiaoyuan Zhong
- Department of Statistics, University of Wisconsin-Madison,
Madison, WI, USA
- Department of Biostatistics and Medical Informatics, University of
Wisconsin-Madison, Madison, WI, USA
| | - Neha S Raghavan
- Department of Neurology, Columbia University, New
York, NY, USA
- The Taub Institute for Research on Alzheimer's Disease and The Aging Brain,
Columbia University, New York, NY, USA
- The Institute for Genomic Medicine, Columbia University Medical Center and
The New York Presbyterian Hospital, New York, NY,
USA
| | - Badri N Vardarajan
- Department of Neurology, Columbia University, New
York, NY, USA
- The Taub Institute for Research on Alzheimer's Disease and The Aging Brain,
Columbia University, New York, NY, USA
- The Institute for Genomic Medicine, Columbia University Medical Center and
The New York Presbyterian Hospital, New York, NY,
USA
| | | | | | | | - Margaret A Pericak-Vance
- John P. Hussman Institute for Human Genomics, University of Miami School of
Medicine, Miami, FL, USA
| | - Lindsay A Farrer
- Department of Neurology, Boston University School of
Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public
Health, Boston, MA, USA
- Department of Medicine (Biomedical Genetics), Boston University School of
Medicine, Boston, MA, USA
| | - Li San Wang
- Penn Neurodegeneration Genomics Center, Department of Pathology and
Laboratory Medicine, University of Pennsylvania Perelman School of
Medicine, Philadelphia, PA, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University School of
Medicine, St. Louis, MO, USA
| | - Gerard D Schellenberg
- Penn Neurodegeneration Genomics Center, Department of Pathology and
Laboratory Medicine, University of Pennsylvania Perelman School of
Medicine, Philadelphia, PA, USA
| | - Nancy J Cox
- Vanderbilt Genetics Institute, Vanderbilt University Medical
Center, Nashville, TN, USA
| | - Jonathan L Haines
- Cleveland Institute for Computational Biology, Department of Population and
Quantitative Health Sciences, Case Western Reserve University,
Cleveland, OH, USA
| | - C Dirk Keene
- Department of Pathology, University of Washington,
Seattle, WA, USA
| | - Andrew J Saykin
- Department of Radiology and Imaging Sciences, Indiana University School of
Medicine, Indianapolis, IN, USA
| | - Eric B Larson
- Department of Medicine, University of Washington,
Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute,
Seattle, WA, USA
| | - Reisa A Sperling
- Department of Neurology, Massachusetts General Hospital/Harvard Medical
School, Boston, MA, USA
| | - Richard Mayeux
- Department of Neurology, Columbia University, New
York, NY, USA
- The Taub Institute for Research on Alzheimer's Disease and The Aging Brain,
Columbia University, New York, NY, USA
- The Institute for Genomic Medicine, Columbia University Medical Center and
The New York Presbyterian Hospital, New York, NY,
USA
| | - Michael L Cuccaro
- John P. Hussman Institute for Human Genomics, University of Miami School of
Medicine, Miami, FL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical
Center, Chicago, IL, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical
Center, Chicago, IL, USA
| | - Paul K Crane
- Department of Medicine, University of Washington,
Seattle, WA, USA
| | - Angela L Jefferson
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical
Center, Nashville, TN, USA
| | - Timothy J Hohman
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical
Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical
Center, Nashville, TN, USA
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40
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Jin B, Capra JA, Benchek P, Wheeler N, Naj AC, Hamilton-Nelson KL, Farrell JJ, Leung YY, Kunkle B, Vadarajan B, Schellenberg GD, Mayeux R, Wang LS, Farrer LA, Pericak-Vance MA, Martin ER, Haines JL, Crawford DC, Bush WS. Corrigendum: An association test of the spatial distribution of rare missense variants within protein structures identifies Alzheimer's disease–related patterns. Genome Res 2022. [PMCID: PMC9248876 DOI: 10.1101/gr.276900.122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Li B, Jin B, Capra JA, Bush WS. Integration of Protein Structure and Population-Scale DNA Sequence Data for Disease Gene Discovery and Variant Interpretation. Annu Rev Biomed Data Sci 2022; 5:141-161. [PMID: 35508071 DOI: 10.1146/annurev-biodatasci-122220-112147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The experimental and computational techniques for capturing information about protein structures and genetic variation within the human genome have advanced dramatically in the past 20 years, generating extensive new data resources. In this review, we discuss these advances, along with new approaches for determining the impact a genetic variant has on protein function. We focus on the potential of new methods that integrate human genetic variation into protein structures to discover relationships to disease, including the discovery of mutational hotspots in cancer-related proteins, the localization of protein-altering variants within protein regions for common complex diseases, and the assessment of variants of unknown significance for Mendelian traits. We expect that approaches that integrate these data sources will play increasingly important roles in disease gene discovery and variant interpretation. Expected final online publication date for the Annual Review of Biomedical Data Science, Volume 5 is August 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Bian Li
- Department of Biological Sciences and Center for Structural Biology, Vanderbilt University, Nashville, Tennessee, USA
| | - Bowen Jin
- Graduate Program in Systems Biology and Bioinformatics, Department of Nutrition, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - John A Capra
- Bakar Computational Health Sciences Institute and Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA;
| | - William S Bush
- Cleveland Institute for Computational Biology, Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA;
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Bellenguez C, Küçükali F, Jansen IE, Kleineidam L, Moreno-Grau S, Amin N, Naj AC, Campos-Martin R, Grenier-Boley B, Andrade V, Holmans PA, Boland A, Damotte V, van der Lee SJ, Costa MR, Kuulasmaa T, Yang Q, de Rojas I, Bis JC, Yaqub A, Prokic I, Chapuis J, Ahmad S, Giedraitis V, Aarsland D, Garcia-Gonzalez P, Abdelnour C, Alarcón-Martín E, Alcolea D, Alegret M, Alvarez I, Álvarez V, Armstrong NJ, Tsolaki A, Antúnez C, Appollonio I, Arcaro M, Archetti S, Pastor AA, Arosio B, Athanasiu L, Bailly H, Banaj N, Baquero M, Barral S, Beiser A, Pastor AB, Below JE, Benchek P, Benussi L, Berr C, Besse C, Bessi V, Binetti G, Bizarro A, Blesa R, Boada M, Boerwinkle E, Borroni B, Boschi S, Bossù P, Bråthen G, Bressler J, Bresner C, Brodaty H, Brookes KJ, Brusco LI, Buiza-Rueda D, Bûrger K, Burholt V, Bush WS, Calero M, Cantwell LB, Chene G, Chung J, Cuccaro ML, Carracedo Á, Cecchetti R, Cervera-Carles L, Charbonnier C, Chen HH, Chillotti C, Ciccone S, Claassen JAHR, Clark C, Conti E, Corma-Gómez A, Costantini E, Custodero C, Daian D, Dalmasso MC, Daniele A, Dardiotis E, Dartigues JF, de Deyn PP, de Paiva Lopes K, de Witte LD, Debette S, Deckert J, Del Ser T, Denning N, DeStefano A, Dichgans M, Diehl-Schmid J, Diez-Fairen M, Rossi PD, Djurovic S, Duron E, Düzel E, Dufouil C, Eiriksdottir G, Engelborghs S, Escott-Price V, Espinosa A, Ewers M, Faber KM, Fabrizio T, Nielsen SF, Fardo DW, Farotti L, Fenoglio C, Fernández-Fuertes M, Ferrari R, Ferreira CB, Ferri E, Fin B, Fischer P, Fladby T, Fließbach K, Fongang B, Fornage M, Fortea J, Foroud TM, Fostinelli S, Fox NC, Franco-Macías E, Bullido MJ, Frank-García A, Froelich L, Fulton-Howard B, Galimberti D, García-Alberca JM, García-González P, Garcia-Madrona S, Garcia-Ribas G, Ghidoni R, Giegling I, Giorgio G, Goate AM, Goldhardt O, Gomez-Fonseca D, González-Pérez A, Graff C, Grande G, Green E, Grimmer T, Grünblatt E, Grunin M, Gudnason V, Guetta-Baranes T, Haapasalo A, Hadjigeorgiou G, Haines JL, Hamilton-Nelson KL, Hampel H, Hanon O, Hardy J, Hartmann AM, Hausner L, Harwood J, Heilmann-Heimbach S, Helisalmi S, Heneka MT, Hernández I, Herrmann MJ, Hoffmann P, Holmes C, Holstege H, Vilas RH, Hulsman M, Humphrey J, Biessels GJ, Jian X, Johansson C, Jun GR, Kastumata Y, Kauwe J, Kehoe PG, Kilander L, Ståhlbom AK, Kivipelto M, Koivisto A, Kornhuber J, Kosmidis MH, Kukull WA, Kuksa PP, Kunkle BW, Kuzma AB, Lage C, Laukka EJ, Launer L, Lauria A, Lee CY, Lehtisalo J, Lerch O, Lleó A, Longstreth W, Lopez O, de Munain AL, Love S, Löwemark M, Luckcuck L, Lunetta KL, Ma Y, Macías J, MacLeod CA, Maier W, Mangialasche F, Spallazzi M, Marquié M, Marshall R, Martin ER, Montes AM, Rodríguez CM, Masullo C, Mayeux R, Mead S, Mecocci P, Medina M, Meggy A, Mehrabian S, Mendoza S, Menéndez-González M, Mir P, Moebus S, Mol M, Molina-Porcel L, Montrreal L, Morelli L, Moreno F, Morgan K, Mosley T, Nöthen MM, Muchnik C, Mukherjee S, Nacmias B, Ngandu T, Nicolas G, Nordestgaard BG, Olaso R, Orellana A, Orsini M, Ortega G, Padovani A, Paolo C, Papenberg G, Parnetti L, Pasquier F, Pastor P, Peloso G, Pérez-Cordón A, Pérez-Tur J, Pericard P, Peters O, Pijnenburg YAL, Pineda JA, Piñol-Ripoll G, Pisanu C, Polak T, Popp J, Posthuma D, Priller J, Puerta R, Quenez O, Quintela I, Thomassen JQ, Rábano A, Rainero I, Rajabli F, Ramakers I, Real LM, Reinders MJT, Reitz C, Reyes-Dumeyer D, Ridge P, Riedel-Heller S, Riederer P, Roberto N, Rodriguez-Rodriguez E, Rongve A, Allende IR, Rosende-Roca M, Royo JL, Rubino E, Rujescu D, Sáez ME, Sakka P, Saltvedt I, Sanabria Á, Sánchez-Arjona MB, Sanchez-Garcia F, Juan PS, Sánchez-Valle R, Sando SB, Sarnowski C, Satizabal CL, Scamosci M, Scarmeas N, Scarpini E, Scheltens P, Scherbaum N, Scherer M, Schmid M, Schneider A, Schott JM, Selbæk G, Seripa D, Serrano M, Sha J, Shadrin AA, Skrobot O, Slifer S, Snijders GJL, Soininen H, Solfrizzi V, Solomon A, Song Y, Sorbi S, Sotolongo-Grau O, Spalletta G, Spottke A, Squassina A, Stordal E, Tartan JP, Tárraga L, Tesí N, Thalamuthu A, Thomas T, Tosto G, Traykov L, Tremolizzo L, Tybjærg-Hansen A, Uitterlinden A, Ullgren A, Ulstein I, Valero S, Valladares O, Broeckhoven CV, Vance J, Vardarajan BN, van der Lugt A, Dongen JV, van Rooij J, van Swieten J, Vandenberghe R, Verhey F, Vidal JS, Vogelgsang J, Vyhnalek M, Wagner M, Wallon D, Wang LS, Wang R, Weinhold L, Wiltfang J, Windle G, Woods B, Yannakoulia M, Zare H, Zhao Y, Zhang X, Zhu C, Zulaica M, Farrer LA, Psaty BM, Ghanbari M, Raj T, Sachdev P, Mather K, Jessen F, Ikram MA, de Mendonça A, Hort J, Tsolaki M, Pericak-Vance MA, Amouyel P, Williams J, Frikke-Schmidt R, Clarimon J, Deleuze JF, Rossi G, Seshadri S, Andreassen OA, Ingelsson M, Hiltunen M, Sleegers K, Schellenberg GD, van Duijn CM, Sims R, van der Flier WM, Ruiz A, Ramirez A, Lambert JC. New insights into the genetic etiology of Alzheimer's disease and related dementias. Nat Genet 2022; 54:412-436. [PMID: 35379992 PMCID: PMC9005347 DOI: 10.1038/s41588-022-01024-z] [Citation(s) in RCA: 582] [Impact Index Per Article: 291.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 01/27/2022] [Indexed: 02/08/2023]
Abstract
Characterization of the genetic landscape of Alzheimer's disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/'proxy' AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted microglia implication. Gene prioritization in the new loci identified 31 genes that were suggestive of new genetically associated processes, including the tumor necrosis factor alpha pathway through the linear ubiquitin chain assembly complex. We also built a new genetic risk score associated with the risk of future AD/dementia or progression from mild cognitive impairment to AD/dementia. The improvement in prediction led to a 1.6- to 1.9-fold increase in AD risk from the lowest to the highest decile, in addition to effects of age and the APOE ε4 allele.
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Affiliation(s)
- Céline Bellenguez
- Université de Lille, INSERM, CHU Lille, Institut Pasteur Lille, U1167-RID-AGE, Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France.
| | - Fahri Küçükali
- Complex Genetics of Alzheimer's Disease Group, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
- Laboratory of Neurogenetics, Institute Born - Bunge, Antwerp, Belgium
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Iris E Jansen
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije University, Amsterdam, the Netherlands
| | - Luca Kleineidam
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, University of Cologne, Medical Faculty, Cologne, Germany
- German Center for Neurodegenerative Diseases (DZNE Bonn), Bonn, Germany
| | - Sonia Moreno-Grau
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
- Nuffield Department of Population Health, Oxford University, Oxford, UK
| | - Adam C Naj
- Department of Biostatistics, Epidemiology, and Informatics, Penn Neurodegeneration Genomics Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Rafael Campos-Martin
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, University of Cologne, Medical Faculty, Cologne, Germany
| | - Benjamin Grenier-Boley
- Université de Lille, INSERM, CHU Lille, Institut Pasteur Lille, U1167-RID-AGE, Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France
| | - Victor Andrade
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, University of Cologne, Medical Faculty, Cologne, Germany
| | - Peter A Holmans
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Cardiff, UK
| | - Anne Boland
- CEA, Centre National de Recherche en Génomique Humaine, Université Paris-Saclay, Evry, France
| | - Vincent Damotte
- Université de Lille, INSERM, CHU Lille, Institut Pasteur Lille, U1167-RID-AGE, Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France
| | - Sven J van der Lee
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Section Genomics of Neurodegenerative Diseases and Aging, Department of Human Genetics Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Marcos R Costa
- Université de Lille, INSERM, CHU Lille, Institut Pasteur Lille, U1167-RID-AGE, Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France
- Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Teemu Kuulasmaa
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Itziar de Rojas
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Amber Yaqub
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Ivana Prokic
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Julien Chapuis
- Université de Lille, INSERM, CHU Lille, Institut Pasteur Lille, U1167-RID-AGE, Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France
| | - Shahzad Ahmad
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
- LACDR, Leiden, the Netherlands
| | - Vilmantas Giedraitis
- Department of Public Health and Carins Sciences/Geriatrics, Uppsala University, Uppsala, Sweden
| | - Dag Aarsland
- Centre of Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
- Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | - Pablo Garcia-Gonzalez
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Carla Abdelnour
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Emilio Alarcón-Martín
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
- Department of Surgery, Biochemistry and Molecular Biology, School of Medicine, University of Málaga, Málaga, Spain
| | - Daniel Alcolea
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Department of Neurology, II B Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Montserrat Alegret
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Ignacio Alvarez
- Fundació Docència i Recerca MútuaTerrassa and Movement Disorders Unit, Department of Neurology, University Hospital MútuaTerrassa, Terrassa, Spain
- Memory Disorders Unit, Department of Neurology, Hospital Universitari Mutua de Terrassa, Terrassa, Spain
| | - Victoria Álvarez
- Laboratorio de Genética, Hospital Universitario Central de Asturias, Oviedo, Spain
- Servicio de Neurología, Hospital Universitario Central de Asturias- Oviedo and Instituto de Investigación Biosanitaria del Principado de Asturias, Oviedo, Spain
| | - Nicola J Armstrong
- Centre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Anthoula Tsolaki
- First Department of Neurology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
- Alzheimer Hellas, Thessaloniki, Greece
| | - Carmen Antúnez
- Unidad de Demencias, Hospital Clínico Universitario Virgen de la Arrixaca, Murcia, Spain
| | - Ildebrando Appollonio
- School of Medicine and Surgery, University of Milano-Bicocca, Milano, Italy
- Neurology Unit, San Gerardo Hospital, Monza, Italy
| | - Marina Arcaro
- Fondazione IRCCS Ca'Granda, Ospedale Policlinico, Milan, Italy
| | - Silvana Archetti
- Department of Laboratory Diagnostics, III Laboratory of Analysis, Brescia Hospital, Brescia, Italy
| | - Alfonso Arias Pastor
- Unitat Trastorns Cognitius, Hospital Universitari Santa Maria de Lleida, Lleida, Spain
- Institut de Recerca Biomedica de Lleida (IRBLLeida), Lleida, Spain
| | - Beatrice Arosio
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
- Geriatic Unit, Fondazione Cà Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy
| | | | - Henri Bailly
- EA 4468, Université de Paris, APHP, Hôpital Broca, Paris, France
| | - Nerisa Banaj
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Miquel Baquero
- Servei de Neurologia, Hospital Universitari i Politècnic La Fe, Valencia, Spain
| | - Sandra Barral
- Taub Institute on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University, New York, NY, USA
- Unit of Neurology, University of Parma and AOU, Parma, Italy
- Clinic of Neurology, UH 'Alexandrovska', Medical University - Sofia, Sofia, Bulgaria
| | - Alexa Beiser
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
- Boston University and the NHLBI's Framingham Heart Study, Boston, MA, USA
| | - Ana Belén Pastor
- CIEN Foundation/Queen Sofia Foundation Alzheimer Center, Madrid, Spain
| | - Jennifer E Below
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA
| | - Penelope Benchek
- Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Luisa Benussi
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Claudine Berr
- Neuropsychiatry: Epidemiological and Clinical Research, PSNREC, Université de Montpellier, INSERM U1061, Montpellier, France
| | - Céline Besse
- CEA, Centre National de Recherche en Génomique Humaine, Université Paris-Saclay, Evry, France
| | - Valentina Bessi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
- Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Giuliano Binetti
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
- MAC - Memory Clinic, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | | | - Rafael Blesa
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Department of Neurology, II B Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Mercè Boada
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Eric Boerwinkle
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Barbara Borroni
- Centre for Neurodegenerative Disorders, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Silvia Boschi
- Department of Neuroscience "Rita Levi Montalcini", University of Torino, Torino, Italy
| | - Paola Bossù
- Experimental Neuro-psychobiology Laboratory, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Geir Bråthen
- Department of Neurology and Clinical Neurophysiology, University Hospital of Trondheim, Trondheim, Norway
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Jan Bressler
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
- School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Catherine Bresner
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Cardiff, UK
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
- Dementia Centre for Research Collaboration, School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Keeley J Brookes
- Biosciences, School of Science and Technology, Nottingham Trent University, Nottingham, UK
| | - Luis Ignacio Brusco
- Centro de Neuropsiquiatría y Neurología de la Conducta (CENECON), Facultad de Medicina, Universidad de Buenos Aires (UBA), C.A.B.A., Buenos Aires, Argentina
- Departamento Ciencias Fisiológicas UAII, Facultad de Medicina, UBA, C.A.B.A., Buenos Aires, Argentina
- Hospital Interzonal General de Agudos Eva Perón, San Martín, Buenos Aires, Argentina
| | - Dolores Buiza-Rueda
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Department of Neurology, Erasmus MC, Rotterdam, the Netherlands
| | - Katharina Bûrger
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilians Universität (LMU), Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany
| | - Vanessa Burholt
- Faculty of Medical & Health Sciences, University of Auckland, Auckland, New Zealand
- Wales Centre for Ageing & Dementia Research, Swansea University, Wales, New Zealand
| | - William S Bush
- Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Miguel Calero
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
- CIEN Foundation/Queen Sofia Foundation Alzheimer Center, Madrid, Spain
- UFIEC, Instituto de Salud Carlos III, Madrid, Spain
| | - Laura B Cantwell
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Geneviève Chene
- INSERM, Bordeaux Population Health Research Center, UMR 1219, ISPED, CIC 1401-EC, Université de Bordeaux, Bordeaux, France
- Pole Santé Publique, CHU de Bordeaux, Bordeaux, France
| | - Jaeyoon Chung
- Medicine Biomedical Genetics Boston University School of Medicine, Boston, MA, USA
| | - Michael L Cuccaro
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, USA
| | - Ángel Carracedo
- Grupo de Medicina Xenómica, Centro Nacional de Genotipado (CEGEN-PRB3-ISCIII), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
- Fundación Pública Galega de Medicina Xenómica- CIBERER-IDIS, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Roberta Cecchetti
- Institute of Gerontology and Geriatrics, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Laura Cervera-Carles
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Department of Neurology, II B Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Camille Charbonnier
- Department of Genetics and CNR-MAJ, Normandie University, UNIROUEN, INSERM U1245, CHU Rouen, Rouen, France
| | - Hung-Hsin Chen
- Division of Genetic Medicine, Vanderbilt University, Nashville, TN, USA
| | - Caterina Chillotti
- Unit of Clinical Pharmacology, University Hospital of Cagliari, Cagliari, Italy
| | - Simona Ciccone
- Geriatic Unit, Fondazione Cà Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy
| | - Jurgen A H R Claassen
- Radboudumc Alzheimer Center, Department of Geriatrics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Christopher Clark
- Institute for Regenerative Medicine, University of Zürich, Schlieren, Switzerland
| | - Elisa Conti
- School of Medicine and Surgery, University of Milano-Bicocca, Milano, Italy
| | - Anaïs Corma-Gómez
- Unidad Clínica de Enfermedades Infecciosas y Microbiología, Hospital Universitario de Valme, Sevilla, Spain
| | - Emanuele Costantini
- Department of Neuroscience, Catholic University of Sacred Heart, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | | | - Delphine Daian
- CEA, Centre National de Recherche en Génomique Humaine, Université Paris-Saclay, Evry, France
| | - Maria Carolina Dalmasso
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, University of Cologne, Medical Faculty, Cologne, Germany
| | - Antonio Daniele
- Department of Neuroscience, Catholic University of Sacred Heart, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | | | | | - Peter Paul de Deyn
- Department of Neurology, University Medical Center Groningen, Groningen, the Netherlands
| | - Katia de Paiva Lopes
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences & Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Lot D de Witte
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Stéphanie Debette
- Bordeaux Population Health Research Center, University Bordeaux, INSERM, Bordeaux, France
| | - Jürgen Deckert
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital, Wuerzburg, Germany
| | - Teodoro Del Ser
- CIEN Foundation/Queen Sofia Foundation Alzheimer Center, Madrid, Spain
| | - Nicola Denning
- UKDRI@ Cardiff, School of Medicine, Cardiff University, Cardiff, UK
| | - Anita DeStefano
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilians Universität (LMU), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Janine Diehl-Schmid
- Klinikum rechts der Isar, Department of Psychiatry and Psychotherapy, Technical University of Munich, School of Medicine, Munich, Germany
| | - Mónica Diez-Fairen
- Fundació Docència i Recerca MútuaTerrassa and Movement Disorders Unit, Department of Neurology, University Hospital MútuaTerrassa, Terrassa, Spain
- Memory Disorders Unit, Department of Neurology, Hospital Universitari Mutua de Terrassa, Terrassa, Spain
| | - Paolo Dionigi Rossi
- Geriatic Unit, Fondazione Cà Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy
| | | | - Emmanuelle Duron
- EA 4468, Université de Paris, APHP, Hôpital Broca, Paris, France
| | - Emrah Düzel
- Institute of Cognitive Neurology and Dementia Research (IKND), Otto-Von-Guericke University, Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Carole Dufouil
- INSERM, Bordeaux Population Health Research Center, UMR 1219, ISPED, CIC 1401-EC, Université de Bordeaux, Bordeaux, France
- Pole Santé Publique, CHU de Bordeaux, Bordeaux, France
| | | | - Sebastiaan Engelborghs
- Center for Neurosciences, Vrije Universiteit Brussel (VUB), Brussels, Belgium
- Reference Center for Biological Markers of Dementia (BIODEM), Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
- Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
- Department of Neurology, UZ Brussel, Brussels, Belgium
| | - Valentina Escott-Price
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- UKDRI@ Cardiff, School of Medicine, Cardiff University, Cardiff, UK
| | - Ana Espinosa
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Michael Ewers
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilians Universität (LMU), Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany
| | - Kelley M Faber
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, USA
| | | | | | - David W Fardo
- Sanders-Brown Center on Aging, Department of Biostatistics, University of Kentucky, Lexington, KY, USA
| | - Lucia Farotti
- Centre for Memory Disturbances, Lab of Clinical Neurochemistry, Section of Neurology, University of Perugia, Perugia, Italy
| | | | - Marta Fernández-Fuertes
- Unidad Clínica de Enfermedades Infecciosas y Microbiología, Hospital Universitario de Valme, Sevilla, Spain
| | - Raffaele Ferrari
- Laboratory of Neurogenetics, Department of Internal Medicine, Texas Tech University Health Science Center, Lubbock, TX, USA
- Reta Lila Weston Research Laboratories, Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | | | - Evelyn Ferri
- Geriatic Unit, Fondazione Cà Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy
| | - Bertrand Fin
- CEA, Centre National de Recherche en Génomique Humaine, Université Paris-Saclay, Evry, France
| | - Peter Fischer
- Department of Psychiatry, Social Medicine Center East- Donauspital, Vienna, Austria
| | - Tormod Fladby
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Klaus Fließbach
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, University of Cologne, Medical Faculty, Cologne, Germany
- German Center for Neurodegenerative Diseases (DZNE Bonn), Bonn, Germany
| | - Bernard Fongang
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Myriam Fornage
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
- School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Juan Fortea
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Department of Neurology, II B Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Tatiana M Foroud
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, USA
| | - Silvia Fostinelli
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Nick C Fox
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Emlio Franco-Macías
- Unidad de Demencias, Servicio de Neurología y Neurofisiología. Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
| | - María J Bullido
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Instituto de Investigacion Sanitaria 'Hospital la Paz' (IdIPaz), Madrid, Spain
- Centro de Biología Molecular Severo Ochoa (UAM-CSIC), Madrid, Spain
| | - Ana Frank-García
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Instituto de Investigacion Sanitaria 'Hospital la Paz' (IdIPaz), Madrid, Spain
- Hospital Universitario la Paz, Madrid, Spain
| | - Lutz Froelich
- Department of Geriatric Psychiatry, Central Institute for Mental Health, Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Brian Fulton-Howard
- Department of Genetics and Genomic Sciences, Ronald M. Loeb Center for Alzheimer's Disease Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Daniela Galimberti
- Fondazione IRCCS Ca'Granda, Ospedale Policlinico, Milan, Italy
- University of Milan, Milan, Italy
| | - Jose Maria García-Alberca
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Alzheimer Research Center & Memory Clinic, Andalusian Institute for Neuroscience, Málaga, Spain
| | - Pablo García-González
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | | | | | - Roberta Ghidoni
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Ina Giegling
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Giaccone Giorgio
- Fondazione IRCCS, Istituto Neurologico Carlo Besta, Milan, Italy
| | - Alison M Goate
- Department of Genetics and Genomic Sciences, Ronald M. Loeb Center for Alzheimer's Disease Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Oliver Goldhardt
- Klinikum rechts der Isar, Department of Psychiatry and Psychotherapy, Technical University of Munich, School of Medicine, Munich, Germany
| | - Duber Gomez-Fonseca
- Department of Biostatistics, Epidemiology, and Informatics Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Caroline Graff
- Center for Alzheimer Research, Department NVS, Division of Neurogeriatrics, Karolinska Institutet, Stockholm, Sweden
- Unit for Hereditary Dementias, Karolinska University Hospital-Solna, Stockholm, Sweden
| | - Giulia Grande
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Emma Green
- Institute of Public Health, University of Cambridge, Cambridge, UK
| | - Timo Grimmer
- Klinikum rechts der Isar, Department of Psychiatry and Psychotherapy, Technical University of Munich, School of Medicine, Munich, Germany
| | - Edna Grünblatt
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
- Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
| | - Michelle Grunin
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Tamar Guetta-Baranes
- Human Genetics, School of Life Sciences, Life Sciences Building, University Park, University of Nottingham, Nottingham, UK
| | - Annakaisa Haapasalo
- AI Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | | | - Jonathan L Haines
- Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | | | - Harald Hampel
- GRC 21, Alzheimer Precision Medicine Initiative (APMI), Sorbonne University, AP-HP, Pitié-Salpêtrière Hospital, Paris, France
| | - Olivier Hanon
- EA 4468, Université de Paris, APHP, Hôpital Broca, Paris, France
| | - John Hardy
- Reta Lila Weston Research Laboratories, Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Annette M Hartmann
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Lucrezia Hausner
- Department of Geriatric Psychiatry, Central Institute for Mental Health, Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Janet Harwood
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Cardiff, UK
| | - Stefanie Heilmann-Heimbach
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Seppo Helisalmi
- Institute of Clinical Medicine, Neurology, University of Eastern, Kuopio, Finland
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
| | - Michael T Heneka
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE Bonn), Bonn, Germany
| | - Isabel Hernández
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Martin J Herrmann
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital, Wuerzburg, Germany
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Clive Holmes
- Clinical and Experimental Science, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Henne Holstege
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Section Genomics of Neurodegenerative Diseases and Aging, Department of Human Genetics Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Raquel Huerto Vilas
- Unitat Trastorns Cognitius, Hospital Universitari Santa Maria de Lleida, Lleida, Spain
- Institut de Recerca Biomedica de Lleida (IRBLLeida), Lleida, Spain
| | - Marc Hulsman
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Section Genomics of Neurodegenerative Diseases and Aging, Department of Human Genetics Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Jack Humphrey
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences & Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Nash Family Department of Neuroscience & Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Geert Jan Biessels
- Department of Neurology, UMC Utrecht Brain Center, Utrecht, the Netherlands
| | - Xueqiu Jian
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Charlotte Johansson
- Center for Alzheimer Research, Department NVS, Division of Neurogeriatrics, Karolinska Institutet, Stockholm, Sweden
| | - Gyungah R Jun
- Medicine Biomedical Genetics Boston University School of Medicine, Boston, MA, USA
| | - Yuriko Kastumata
- Biostatistics, University of Kentucky College of Public Health, Lexington, KY, USA
| | - John Kauwe
- Department of Biology, Brigham Young University, Provo, UT, USA
| | - Patrick G Kehoe
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Lena Kilander
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Anne Kinhult Ståhlbom
- Center for Alzheimer Research, Department NVS, Division of Neurogeriatrics, Karolinska Institutet, Stockholm, Sweden
| | - Miia Kivipelto
- Division of Clinical Geriatrics, Center for Alzheimer Research, Care Sciences and Society (NVS), Karolinska Institutet, Stockholm, Sweden
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
- Neuroepidemiology and Ageing Research Unit, School of Public Health, Imperial College London, London, UK
- Research & Development, UnitStockholms Sjukhem, Stockholm, Sweden
| | - Anne Koivisto
- Institute of Clinical Medicine, Neurology, University of Eastern, Kuopio, Finland
- Department of Neurology, Kuopio University Hospital, Kuopio, Finland
- Department of Neurosciences, University of Helsinki and Department of Geriatrics, Helsinki University Hospital, Helsinki, Finland
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Mary H Kosmidis
- Laboratory of Cognitive Neuroscience, School of Psychology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Walter A Kukull
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Pavel P Kuksa
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Brian W Kunkle
- Department of Neurology, Medical School, University of Cyprus, Nicosia, Cyprus
| | - Amanda B Kuzma
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Carmen Lage
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Neurology Service, Marqués de Valdecilla University Hospital (University of Cantabria and IDIVAL), Santander, Spain
| | - Erika J Laukka
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Lenore Launer
- Laboratory of Epidemiology, Demography, and Biometry, National Institute of Aging, The National Institutes of Health, Bethesda, MD, USA
- Intramural Research Program/National Institute on Aging/National Institutes of Health, Bethesda, MD, USA
| | - Alessandra Lauria
- Geriatrics Unit, Fondazione Policlinico A. Gemelli IRCCS, Rome, Italy
| | - Chien-Yueh Lee
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Jenni Lehtisalo
- Institute of Clinical Medicine, Neurology, University of Eastern, Kuopio, Finland
- Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Ondrej Lerch
- Memory Clinic, Department of Neurology, Charles University, 2nd Faculty of Medicine and Motol University Hospital, Praha, Czechia
- International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia
| | - Alberto Lleó
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Department of Neurology, II B Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - William Longstreth
- Departments of Neurology and Epidemiology, University of Washington, Seattle, WA, USA
| | | | - Adolfo Lopez de Munain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Department of Neurology, Hospital Universitario Donostia, OSAKIDETZA-Servicio Vasco de Salud, San Sebastian, Spain
| | - Seth Love
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Malin Löwemark
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Lauren Luckcuck
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Cardiff, UK
| | - Kathryn L Lunetta
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - Yiyi Ma
- Section Genomics of Neurodegenerative Diseases and Aging, Department of Human Genetics Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Department of Neurology, Columbia University, New York, NY, USA
| | - Juan Macías
- Unidad Clínica de Enfermedades Infecciosas y Microbiología, Hospital Universitario de Valme, Sevilla, Spain
| | | | - Wolfgang Maier
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE Bonn), Bonn, Germany
| | - Francesca Mangialasche
- Division of Clinical Geriatrics, Center for Alzheimer Research, Care Sciences and Society (NVS), Karolinska Institutet, Stockholm, Sweden
| | - Marco Spallazzi
- Unit of Neurology, University of Parma and AOU, Parma, Italy
| | - Marta Marquié
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Rachel Marshall
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Cardiff, UK
| | - Eden R Martin
- The John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
| | - Angel Martín Montes
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Instituto de Investigacion Sanitaria 'Hospital la Paz' (IdIPaz), Madrid, Spain
- Hospital Universitario la Paz, Madrid, Spain
| | - Carmen Martínez Rodríguez
- Servicio de Neurología, Hospital Universitario Central de Asturias- Oviedo and Instituto de Investigación Biosanitaria del Principado de Asturias, Oviedo, Spain
| | - Carlo Masullo
- Institute of Neurology, Catholic University of the Sacred Heart, Rome, Italy
| | - Richard Mayeux
- Taub Institute on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University, New York, NY, USA
- Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA
| | - Simon Mead
- MRC Prion Unit at UCL, UCL Institute of Prion Diseases, London, UK
| | - Patrizia Mecocci
- Institute of Gerontology and Geriatrics, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Miguel Medina
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- CIEN Foundation/Queen Sofia Foundation Alzheimer Center, Madrid, Spain
| | - Alun Meggy
- UKDRI@ Cardiff, School of Medicine, Cardiff University, Cardiff, UK
| | - Shima Mehrabian
- Clinic of Neurology, UH 'Alexandrovska', Medical University - Sofia, Sofia, Bulgaria
| | - Silvia Mendoza
- Alzheimer Research Center & Memory Clinic, Andalusian Institute for Neuroscience, Málaga, Spain
| | - Manuel Menéndez-González
- Servicio de Neurología, Hospital Universitario Central de Asturias- Oviedo and Instituto de Investigación Biosanitaria del Principado de Asturias, Oviedo, Spain
| | - Pablo Mir
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología. Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
| | - Susanne Moebus
- Institute for Urban Public Health, University Hospital of University Duisburg-Essen, Essen, Germany
| | - Merel Mol
- Department of Neurology, Erasmus MC, Rotterdam, the Netherlands
| | - Laura Molina-Porcel
- Neurological Tissue Bank of the Biobanc-Hospital Clinic-IDIBAPS, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Department, Hospital Clinic, Barcelona, Spain
| | - Laura Montrreal
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Laura Morelli
- Laboratory of Brain Aging and Neurodegeneration, FIL-CONICET, Buenos Aires, Argentina
| | - Fermin Moreno
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Department of Neurology, Hospital Universitario Donostia, OSAKIDETZA-Servicio Vasco de Salud, San Sebastian, Spain
| | - Kevin Morgan
- Human Genetics, School of Life Sciences, University of Nottingham, Nottingham, UK
| | - Thomas Mosley
- Memory Impairment and Neurodegenerative Dementia (MIND) Center, University of Mississippi Medical Center, Jackson, MS, USA
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Carolina Muchnik
- Centro de Neuropsiquiatría y Neurología de la Conducta (CENECON), Facultad de Medicina, Universidad de Buenos Aires (UBA), C.A.B.A., Buenos Aires, Argentina
- Laboratorio de Bioquímica Molecular, Facultad de Medicina, Instituto de Investigaciones Médicas A. Lanari, UBA, C.A.B.A, Buenos Aires, Argentina
| | | | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Tiia Ngandu
- Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Gael Nicolas
- Department of Genetics and CNR-MAJ, Normandie University, UNIROUEN, INSERM U1245, CHU Rouen, Rouen, France
| | - Børge G Nordestgaard
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Herlev, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Robert Olaso
- CEA, Centre National de Recherche en Génomique Humaine, Université Paris-Saclay, Evry, France
| | - Adelina Orellana
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Michela Orsini
- Department of Neuroscience, Catholic University of Sacred Heart, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Gemma Ortega
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Alessandro Padovani
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | | | - Goran Papenberg
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Lucilla Parnetti
- Centre for Memory Disturbances, Lab of Clinical Neurochemistry, Section of Neurology, University of Perugia, Perugia, Italy
| | - Florence Pasquier
- Resources and Research Memory Center (MRRC) of Distalz, LicendUniversity of Lille, INSERM, CHU Lille, UMR1172, Lille, France
| | - Pau Pastor
- Fundació Docència i Recerca MútuaTerrassa and Movement Disorders Unit, Department of Neurology, University Hospital MútuaTerrassa, Terrassa, Spain
- Memory Disorders Unit, Department of Neurology, Hospital Universitari Mutua de Terrassa, Terrassa, Spain
| | - Gina Peloso
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
- Boston University and the NHLBI's Framingham Heart Study, Boston, MA, USA
| | - Alba Pérez-Cordón
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Jordi Pérez-Tur
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Institut de Biomedicina de València-CSIC CIBERNED, València, Spain
- Unitat Mixta de de Neurología y Genética, Institut d'Investigació Sanitària La Fe, València, Spain
| | - Pierre Pericard
- US 41-UMS 2014-PLBS, bilille, Université de Lille, CNRS, INSERM, CHU Lille, Institut Pasteur de Lille, Lille, France
| | - Oliver Peters
- Institute of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
| | - Yolande A L Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Juan A Pineda
- Unidad Clínica de Enfermedades Infecciosas y Microbiología, Hospital Universitario de Valme, Sevilla, Spain
| | - Gerard Piñol-Ripoll
- Unitat Trastorns Cognitius, Hospital Universitari Santa Maria de Lleida, Lleida, Spain
- Institut de Recerca Biomedica de Lleida (IRBLLeida), Lleida, Spain
| | - Claudia Pisanu
- Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Thomas Polak
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital, Wuerzburg, Germany
| | - Julius Popp
- CHUV, Old Age Psychiatry, Department of Psychiatry, Lausanne, Switzerland
- Old Age Psychiatry, Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland
- Department of Geriatric Psychiatry, University Hospital of Psychiatry Zürich, Zürich, Switzerland
| | - Danielle Posthuma
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije University, Amsterdam, the Netherlands
| | - Josef Priller
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Department of Neuropsychiatry and Laboratory of Molecular Psychiatry, Charité, Charitéplatz 1, Berlin, Germany
| | - Raquel Puerta
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Olivier Quenez
- Department of Genetics and CNR-MAJ, Normandie University, UNIROUEN, INSERM U1245, CHU Rouen, Rouen, France
| | - Inés Quintela
- Grupo de Medicina Xenómica, Centro Nacional de Genotipado (CEGEN-PRB3-ISCIII), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
| | | | - Alberto Rábano
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- CIEN Foundation/Queen Sofia Foundation Alzheimer Center, Madrid, Spain
| | - Innocenzo Rainero
- Centre for Neurodegenerative Disorders, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Farid Rajabli
- The John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
| | - Inez Ramakers
- Department of Psychiatry & Neuropsychologie, Maastricht University, Alzheimer Center Limburg, Maastricht, the Netherlands
| | - Luis M Real
- Unidad Clínica de Enfermedades Infecciosas y Microbiología, Hospital Universitario de Valme, Sevilla, Spain
- Depatamento de Especialidades Quirúrgicas Bioquímica e Inmunología, Facultad de Medicina, Universidad de Málaga, Málaga, Spain
| | - Marcel J T Reinders
- Delft Bioinformatics Lab, Delft University of Technology, Delft, the Netherlands
| | - Christiane Reitz
- Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA
- Delft Bioinformatics Lab, Delft University of Technology, Delft, the Netherlands
- Taub Institute, Columbia University, New York, NY, USA
| | - Dolly Reyes-Dumeyer
- Department of Neurology, Columbia University, New York, NY, USA
- Taub Institute, Columbia University, New York, NY, USA
| | - Perry Ridge
- Bioinformatics, College of Life Sciences, Brigham Young University, Provo, UT, USA
| | - Steffi Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany
| | - Peter Riederer
- Center of Mental Health, Clinic and Policlinic of Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Würzburg, Wuerzburg, Germany
| | - Natalia Roberto
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Eloy Rodriguez-Rodriguez
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Neurology Service, Marqués de Valdecilla University Hospital (University of Cantabria and IDIVAL), Santander, Spain
| | - Arvid Rongve
- Department of Research and Innovation, Helse Fonna, Haugesund Hospital, Haugesund, Norway
- Institute of Clinical Medicine (K1), The University of Bergen, Bergen, Norway
| | - Irene Rosas Allende
- Laboratorio de Genética, Hospital Universitario Central de Asturias, Oviedo, Spain
- Servicio de Neurología, Hospital Universitario Central de Asturias- Oviedo and Instituto de Investigación Biosanitaria del Principado de Asturias, Oviedo, Spain
| | - Maitée Rosende-Roca
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Jose Luis Royo
- Departamento de Especialidades Quirúrgicas, Bioquímicas e Inmunología, School of Medicine, University of Málaga, Málaga, Spain
| | - Elisa Rubino
- Department of Neuroscience and Mental Health, AOU Città della Salute e della Scienza di Torino, Torino, Italy
| | - Dan Rujescu
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | | | - Paraskevi Sakka
- Athens Association of Alzheimer's Disease and Related Disorders, Athens, Greece
| | - Ingvild Saltvedt
- Department of Neurology and Clinical Neurophysiology, University Hospital of Trondheim, Trondheim, Norway
- Department of Geriatrics, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Ángela Sanabria
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - María Bernal Sánchez-Arjona
- Unidad de Demencias, Servicio de Neurología y Neurofisiología. Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain
| | - Florentino Sanchez-Garcia
- Department of Immunology, Hospital Universitario Doctor Negrín, Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Pascual Sánchez Juan
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Neurology Service, Marqués de Valdecilla University Hospital (University of Cantabria and IDIVAL), Santander, Spain
| | - Raquel Sánchez-Valle
- Neurology Department-Hospital Clínic, IDIBAPS, Universitat de Barcelona, Barcelona, Spain
| | - Sigrid B Sando
- Experimental Neuro-psychobiology Laboratory, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
- Department of Neurology and Clinical Neurophysiology, University Hospital of Trondheim, Trondheim, Norway
| | - Chloé Sarnowski
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Claudia L Satizabal
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Michela Scamosci
- Institute of Gerontology and Geriatrics, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Nikolaos Scarmeas
- Taub Institute on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University, New York, NY, USA
- First Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens, Medical School, Athens, Greece
| | - Elio Scarpini
- Fondazione IRCCS Ca'Granda, Ospedale Policlinico, Milan, Italy
- University of Milan, Milan, Italy
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Norbert Scherbaum
- LVR-Hospital Essen, Department of Psychiatry and Psychotherapy, Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - Martin Scherer
- Department of Primary Medical Care, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Matthias Schmid
- German Center for Neurodegenerative Diseases (DZNE Bonn), Bonn, Germany
- Institute of Medical Biometry, Informatics and Epidemiology, University Hospital of Bonn, Bonn, Germany
| | - Anja Schneider
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE Bonn), Bonn, Germany
| | - Jonathan M Schott
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Geir Selbæk
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Davide Seripa
- Laboratory for Advanced Hematological Diagnostics, Department of Hematology and Stem Cell Transplant, Vito Fazzi Hospital, Lecce, Italy
| | - Manuel Serrano
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, CIBERDEM, Hospital Clínico San Carlos, Madrid, Spain
| | - Jin Sha
- Department of Biostatistics, Epidemiology, and Informatics, Penn Neurodegeneration Genomics Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | | | - Olivia Skrobot
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Susan Slifer
- The John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, USA
| | - Gijsje J L Snijders
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Hilkka Soininen
- Institute of Clinical Medicine, Neurology, University of Eastern, Kuopio, Finland
| | | | - Alina Solomon
- Institute of Clinical Medicine, Neurology, University of Eastern, Kuopio, Finland
- Division of Clinical Geriatrics, Center for Alzheimer Research, Care Sciences and Society (NVS), Karolinska Institutet, Stockholm, Sweden
| | - Yeunjoo Song
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Sandro Sorbi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Oscar Sotolongo-Grau
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Annika Spottke
- German Center for Neurodegenerative Diseases (DZNE Bonn), Bonn, Germany
- Department of Neurology, University of Bonn, Bonn, Germany
| | - Alessio Squassina
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | | | - Juan Pablo Tartan
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Lluís Tárraga
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Niccolo Tesí
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Section Genomics of Neurodegenerative Diseases and Aging, Department of Human Genetics Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Tegos Thomas
- First Department of Neurology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
- Alzheimer Hellas, Thessaloniki, Greece
| | - Giuseppe Tosto
- Taub Institute on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University, New York, NY, USA
- Department of Neurology, Columbia University, New York, NY, USA
| | - Latchezar Traykov
- Clinic of Neurology, UH 'Alexandrovska', Medical University - Sofia, Sofia, Bulgaria
| | - Lucio Tremolizzo
- School of Medicine and Surgery, University of Milano-Bicocca, Milano, Italy
- Neurology Unit, San Gerardo Hospital, Monza, Italy
| | - Anne Tybjærg-Hansen
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen, Denmark
| | - Andre Uitterlinden
- Department of Internal Medicine and Biostatistics, Erasmus MC, Rotterdam, the Netherlands
| | - Abbe Ullgren
- Center for Alzheimer Research, Department NVS, Division of Neurogeriatrics, Karolinska Institutet, Stockholm, Sweden
| | - Ingun Ulstein
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Sergi Valero
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Otto Valladares
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Christine Van Broeckhoven
- Complex Genetics of Alzheimer's Disease Group, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
- Laboratory of Neurogenetics, Institute Born - Bunge, Antwerp, Belgium
- Neurodegenerative Brain Diseases Group, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
| | - Jeffery Vance
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, USA
| | - Badri N Vardarajan
- Taub Institute on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University, New York, NY, USA
| | | | - Jasper Van Dongen
- Complex Genetics of Alzheimer's Disease Group, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
- Laboratory of Neurogenetics, Institute Born - Bunge, Antwerp, Belgium
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Jeroen van Rooij
- Department of Neurology, Erasmus MC, Rotterdam, the Netherlands
- Department of Neurology, ErasmusMC, Rotterdam, the Netherlands
| | | | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, University of Leuven, Leuven, Belgium
- Neurology Department, University Hospitals Leuven, Leuven, Belgium
| | - Frans Verhey
- Department of Psychiatry & Neuropsychologie, Maastricht University, Alzheimer Center Limburg, Maastricht, the Netherlands
| | | | - Jonathan Vogelgsang
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, Goettingen, Germany
- Department of Psychiatry, Harvard Medical School, McLean Hospital, Belmont, MA, USA
| | - Martin Vyhnalek
- Memory Clinic, Department of Neurology, Charles University, 2nd Faculty of Medicine and Motol University Hospital, Praha, Czechia
- International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia
| | - Michael Wagner
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE Bonn), Bonn, Germany
| | - David Wallon
- Department of Neurology and CNR-MAJ, F 76000, Normandy Center for Genomic and Personalized Medicine, Normandie University, UNIROUEN, INSERM U1245, CHU Rouen, Rouen, France
| | - Li-San Wang
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Ruiqi Wang
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Leonie Weinhold
- Institute of Medical Biometry, Informatics and Epidemiology, University Hospital of Bonn, Bonn, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, Goettingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany
- Medical Science Department, iBiMED, Aveiro, Portugal
| | - Gill Windle
- School of Health Sciences, Bangor University, Bangor, UK
| | - Bob Woods
- School of Health Sciences, Bangor University, Bangor, UK
| | - Mary Yannakoulia
- Department of Nutrition and Diatetics, Harokopio University, Athens, Greece
| | - Habil Zare
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | - Yi Zhao
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Xiaoling Zhang
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA
| | - Congcong Zhu
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA
| | - Miren Zulaica
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Neurosciences Area, Instituto Biodonostia, San Sebastian, Spain
| | - Lindsay A Farrer
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
- Medicine Biomedical Genetics Boston University School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Bruce M Psaty
- Framingham Heart Study, Framingham, MA, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Health Service, University of Washington, Seattle, WA, USA
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Towfique Raj
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences & Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Nash Family Department of Neuroscience & Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Perminder Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Karen Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Frank Jessen
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE Bonn), Bonn, Germany
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | | | - Jakub Hort
- Intramural Research Program/National Institute on Aging/National Institutes of Health, Bethesda, MD, USA
- Memory Clinic, Department of Neurology, Charles University, 2nd Faculty of Medicine and Motol University Hospital, Praha, Czechia
| | - Magda Tsolaki
- First Department of Neurology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
- Alzheimer Hellas, Thessaloniki, Greece
| | | | - Philippe Amouyel
- Université de Lille, INSERM, CHU Lille, Institut Pasteur Lille, U1167-RID-AGE, Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France
| | - Julie Williams
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Cardiff, UK
- UKDRI@ Cardiff, School of Medicine, Cardiff University, Cardiff, UK
| | - Ruth Frikke-Schmidt
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Biochemistry, Rigshospitalet, Copenhagen, Denmark
| | - Jordi Clarimon
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Department of Neurology, II B Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jean-François Deleuze
- CEA, Centre National de Recherche en Génomique Humaine, Université Paris-Saclay, Evry, France
| | - Giacomina Rossi
- Fondazione IRCCS, Istituto Neurologico Carlo Besta, Milan, Italy
| | - Sudha Seshadri
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
| | | | - Martin Ingelsson
- Department of Public Health and Carins Sciences/Geriatrics, Uppsala University, Uppsala, Sweden
| | - Mikko Hiltunen
- Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Kristel Sleegers
- Complex Genetics of Alzheimer's Disease Group, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
- Laboratory of Neurogenetics, Institute Born - Bunge, Antwerp, Belgium
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Gerard D Schellenberg
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
- Nuffield Department of Population Health, Oxford University, Oxford, UK
| | - Rebecca Sims
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Cardiff, UK
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Agustín Ruiz
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Alfredo Ramirez
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, University of Cologne, Medical Faculty, Cologne, Germany
- German Center for Neurodegenerative Diseases (DZNE Bonn), Bonn, Germany
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, USA
- Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Jean-Charles Lambert
- Université de Lille, INSERM, CHU Lille, Institut Pasteur Lille, U1167-RID-AGE, Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France.
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Jin B, Capra JA, Benchek P, Wheeler N, Naj AC, Hamilton-Nelson KL, Farrell JJ, Leung YY, Kunkle B, Vadarajan B, Schellenberg GD, Mayeux R, Wang LS, Farrer LA, Pericak-Vance MA, Martin ER, Haines JL, Crawford DC, Bush WS. An association test of the spatial distribution of rare missense variants within protein structures identifies Alzheimer's disease-related patterns. Genome Res 2022; 32:778-790. [PMID: 35210353 PMCID: PMC8997344 DOI: 10.1101/gr.276069.121] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 02/17/2022] [Indexed: 11/24/2022]
Abstract
More than 90% of genetic variants are rare in most modern sequencing studies, such as the Alzheimer's Disease Sequencing Project (ADSP) whole-exome sequencing (WES) data. Furthermore, 54% of the rare variants in ADSP WES are singletons. However, both single variant and unit-based tests are limited in their statistical power to detect an association between rare variants and phenotypes. To best use missense rare variants and investigate their biological effect, we examine their association with phenotypes in the context of protein structures. We developed a protein structure-based approach, protein optimized kernel evaluation of missense nucleotides (POKEMON), which evaluates rare missense variants based on their spatial distribution within a protein rather than their allele frequency. The hypothesis behind this test is that the three-dimensional spatial distribution of variants within a protein structure provides functional context to power an association test. POKEMON identified three candidate genes (TREM2, SORL1, and EXOC3L4) and another suggestive gene from the ADSP WES data. For TREM2 and SORL1, two known Alzheimer's disease (AD) genes, the signal from the spatial cluster is stable even if we exclude known AD risk variants, indicating the presence of additional low-frequency risk variants within these genes. EXOC3L4 is a novel AD risk gene that has a cluster of variants primarily shared by case subjects around the Sec6 domain. This cluster is also validated in an independent replication data set and a validation data set with a larger sample size.
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Affiliation(s)
- Bowen Jin
- Graduate Program in Systems Biology and Bioinformatics, Department of Nutrition, School of Medicine, Case Western Reserve University, Cleveland, Ohio 44106, USA
| | - John A Capra
- The Bakar Computational Health Sciences Institute, Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California 94143, USA
| | - Penelope Benchek
- Cleveland Institute for Computational Biology, Department for Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio 44106, USA
| | - Nicholas Wheeler
- Cleveland Institute for Computational Biology, Department for Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio 44106, USA
| | - Adam C Naj
- Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Kara L Hamilton-Nelson
- The John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, Florida 33136, USA
| | - John J Farrell
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, Massachusetts 02118, USA
| | - Yuk Yee Leung
- Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Brian Kunkle
- The John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, Florida 33136, USA
- Dr. John T. Macdonald Foundation, Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, Florida 33136, USA
| | - Badri Vadarajan
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Department of Neurology, Gertrude H. Sergievsky Center, Department of Neurology, Columbia University, New York, New York 10032, USA
| | - Gerard D Schellenberg
- Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Richard Mayeux
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Department of Neurology, Gertrude H. Sergievsky Center, Department of Neurology, Columbia University, New York, New York 10032, USA
| | - Li-San Wang
- Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Lindsay A Farrer
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, Massachusetts 02118, USA
| | - Margaret A Pericak-Vance
- The John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, Florida 33136, USA
- Dr. John T. Macdonald Foundation, Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, Florida 33136, USA
| | - Eden R Martin
- The John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, Florida 33136, USA
- Dr. John T. Macdonald Foundation, Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, Florida 33136, USA
| | - Jonathan L Haines
- Cleveland Institute for Computational Biology, Department for Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio 44106, USA
| | - Dana C Crawford
- Cleveland Institute for Computational Biology, Department for Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio 44106, USA
| | - William S Bush
- Cleveland Institute for Computational Biology, Department for Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio 44106, USA
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Bai H, Kaur H, Kallianpur AR, Hulgan T, Franklin DR, Letendre SL, Ellis RJ, Bush WS. A Haptoglobin Exon Copy Number Variant Associates With HIV-Associated Neurocognitive Impairment in European and African-Descent Populations. Front Genet 2022; 12:756685. [PMID: 35003209 PMCID: PMC8727522 DOI: 10.3389/fgene.2021.756685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 11/24/2021] [Indexed: 11/13/2022] Open
Abstract
A common two-exon deletion distinguishes the gene encoding the free hemoglobin capturing protein—haptoglobin (HP)–into two alleles: HP1 and HP2. To evaluate the impact of this copy number variant (CNV) on neurocognitive impairment (NCI) in people living with HIV, we imputed this variant in 432 European-descent (EUR) and 491 African-descent (AFR) participants from the CNS HIV Antiretroviral Therapy Effects Research Study using an optimized imputation pipeline and evaluated its associations with NCI. At baseline, in AFR, the HP2 allele decreased the odds of NCI (defined by a global deficit score, GDS, ⩾0.5; Odds Ratio, OR = 0.584, p = 0.022). However, in EUR, HP2 increased the odds (OR = 2.081, p = 0.040) of NCI suggesting a detrimental effect. These effects were extended to longitudinal analyses using repeated measurements where the protective effect of the HP2 allele in AFR became marginally significant (p = 0.054) and in EUR the detrimental effect increased in significance (p = 0.037). In EUR, the HP2 allele slightly reduced the risk of NCI over time (OR = 0.028 per allele per year, p = 0.024). Further analyses of cognitive domain-specific impairment revealed that the HP-NCI effect was based on changes in learning, speed of information processing, and verbal domains over time differing by ancestry groups. Overall, these findings suggest that these functional HP CNV alleles influence the likelihood of NCI and contribute to changes in neurocognitive function over time in people living with HIV.
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Affiliation(s)
- Haimeng Bai
- Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, United States.,Department of Nutrition, Case Western Reserve University School of Medicine, Cleveland, OH, United States
| | - Harpreet Kaur
- Department of Genomic Medicine, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, United States
| | - Asha R Kallianpur
- Department of Genomic Medicine, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, United States.,Department of Molecular Medicine, Case Western Reserve University School of Medicine, Cleveland, OH, United States
| | - Todd Hulgan
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, United States
| | - Donald R Franklin
- Department of Psychiatry, HIV Neurobehavioral Research Center, University of California, San Diego, San Diego, CA, United States
| | - Scott L Letendre
- Departments of Medicine and Psychiatry, University of California, San Diego, San Diego, CA, United States
| | - Ronald J Ellis
- Departments of Neurosciences and Psychiatry, University of California, San Diego, San Diego, CA, United States
| | - William S Bush
- Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, United States
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45
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Darst BF, Hughley R, Pfennig A, Hazra U, Fan C, Wan P, Sheng X, Xia L, Andrews C, Chen F, Berndt SI, Kote-Jarai Z, Govindasami K, Bensen JT, Ingles SA, Rybicki BA, Nemesure B, John EM, Fowke JH, Huff CD, Strom SS, Isaacs WB, Park JY, Zheng W, Ostrander EA, Walsh PC, Carpten J, Sellers TA, Yamoah K, Murphy AB, Sanderson M, Crawford DC, Gapstur SM, Bush WS, Aldrich MC, Cussenot O, Petrovics G, Cullen J, Neslund-Dudas C, Kittles RA, Xu J, Stern MC, Chokkalingam AP, Multigner L, Parent ME, Menegaux F, Cancel-Tassin G, Kibel AS, Klein EA, Goodman PJ, Stanford JL, Drake BF, Hu JJ, Clark PE, Blanchet P, Casey G, Hennis AJM, Lubwama A, Thompson IM, Leach RJ, Gundell SM, Pooler L, Mohler JL, Fontham ETH, Smith GJ, Taylor JA, Brureau L, Blot WJ, Biritwum R, Tay E, Truelove A, Niwa S, Tettey Y, Varma R, McKean-Cowdin R, Torres M, Jalloh M, Magueye Gueye S, Niang L, Ogunbiyi O, Oladimeji Idowu M, Popoola O, Adebiyi AO, Aisuodionoe-Shadrach OI, Nwegbu M, Adusei B, Mante S, Darkwa-Abrahams A, Yeboah ED, Mensah JE, Anthony Adjei A, Diop H, Cook MB, Chanock SJ, Watya S, Eeles RA, Chiang CWK, Lachance J, Rebbeck TR, Conti DV, Haiman CA. A Rare Germline HOXB13 Variant Contributes to Risk of Prostate Cancer in Men of African Ancestry. Eur Urol 2022; 81:458-462. [PMID: 35031163 PMCID: PMC9018520 DOI: 10.1016/j.eururo.2021.12.023] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 12/06/2021] [Accepted: 12/22/2021] [Indexed: 11/17/2022]
Abstract
A rare African ancestry-specific germline deletion variant in HOXB13 (X285K, rs77179853) was recently reported in Martinican men with early-onset prostate cancer. Given the role of HOXB13 germline variation in prostate cancer, we investigated the association between HOXB13 X285K and prostate cancer risk in a large sample of 22 361 African ancestry men, including 11 688 prostate cancer cases. The risk allele was present only in men of West African ancestry, with an allele frequency in men that ranged from 0.40% in Ghana and 0.31% in Nigeria to 0% in Uganda and South Africa, with a range of frequencies in men with admixed African ancestry from North America and Europe (0-0.26%). HOXB13 X285K was associated with 2.4-fold increased odds of prostate cancer (95% confidence interval [CI] = 1.5-3.9, p = 2 × 10-4), with greater risk observed for more aggressive and advanced disease (Gleason ≥8: odds ratio [OR] = 4.7, 95% CI = 2.3-9.5, p = 2 × 10-5; stage T3/T4: OR = 4.5, 95% CI = 2.0-10.0, p = 2 × 10-4; metastatic disease: OR = 5.1, 95% CI = 1.9-13.7, p = 0.001). We estimated that the allele arose in West Africa 1500-4600 yr ago. Further analysis is needed to understand how the HOXB13 X285K variant impacts the HOXB13 protein and function in the prostate. Understanding who carries this mutation may inform prostate cancer screening in men of West African ancestry. PATIENT SUMMARY: A rare African ancestry-specific germline deletion in HOXB13, found only in men of West African ancestry, was reported to be associated with an increased risk of overall and advanced prostate cancer. Understanding who carries this mutation may help inform screening for prostate cancer in men of West African ancestry.
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Affiliation(s)
- Burcu F Darst
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA.
| | - Raymond Hughley
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Aaron Pfennig
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA
| | - Ujani Hazra
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA
| | - Caoqi Fan
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | - Peggy Wan
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Xin Sheng
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Lucy Xia
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Caroline Andrews
- Harvard TH Chan School of Public Health and Division of Population Sciences, Dana Farber Cancer Institute, Boston, MA, USA
| | - Fei Chen
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Bethesda, MD, USA
| | | | - Koveela Govindasami
- The Institute of Cancer Research, Sutton, London, UK; Royal Marsden NHS Foundation Trust, London, UK
| | - Jeannette T Bensen
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sue A Ingles
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Benjamin A Rybicki
- Department of Public Health Sciences, Henry Ford Hospital, Detroit, MI, USA
| | - Barbara Nemesure
- Department of Family, Population and Preventive Medicine, Stony Brook University, Stony Brook, NY, USA
| | - Esther M John
- Department of Epidemiology & Population Health and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Jay H Fowke
- Division of Epidemiology, Department of Preventive Medicine, The University of Tennessee Health Science Center, TN, USA
| | - Chad D Huff
- Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Sara S Strom
- Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - William B Isaacs
- James Buchanan Brady Urological Institute, Johns Hopkins Hospital and Medical Institution, Baltimore, MD, USA
| | - Jong Y Park
- Department of Cancer Epidemiology, Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Elaine A Ostrander
- Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Patrick C Walsh
- James Buchanan Brady Urological Institute, Johns Hopkins Hospital and Medical Institution, Baltimore, MD, USA
| | - John Carpten
- Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Thomas A Sellers
- Department of Cancer Epidemiology, Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Kosj Yamoah
- Department of Radiation Oncology and Cancer Epidemiology, Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Adam B Murphy
- Department of Urology, Northwestern University, Chicago, IL, USA
| | - Maureen Sanderson
- Department of Family and Community Medicine, Meharry Medical College, Nashville, TN, USA
| | - Dana C Crawford
- Cleveland Institute for Computational Biology, Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Susan M Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - William S Bush
- Cleveland Institute for Computational Biology, Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Melinda C Aldrich
- Department of Thoracic Surgery, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Olivier Cussenot
- CeRePP & Sorbonne Universite, GRC n° 5, AP-HP, Tenon Hospital, Paris, France
| | - Gyorgy Petrovics
- Center for Prostate Disease Research, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Jennifer Cullen
- Center for Prostate Disease Research, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD, USA; Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | | | - Rick A Kittles
- Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Jianfeng Xu
- Program for Personalized Cancer Care and Department of Surgery, NorthShore University HealthSystem, Evanston, IL, USA
| | - Mariana C Stern
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | | | - Luc Multigner
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) -UMR_S 1085, Rennes, France
| | - Marie-Elise Parent
- Centre Armand-Frappier Santé Biotechnologie, Institut national de la recherche scientifique, University of Quebec, Laval, Quebec, Canada
| | - Florence Menegaux
- Université Paris-Saclay, Université Paris-Sud, CESP (Center for Research in Epidemiology and Population Health), Inserm, Team Cancer-Environment, Villejuif, France
| | | | - Adam S Kibel
- Division of Urology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, MA, USA; Washington University, St. Louis, MO, USA
| | - Eric A Klein
- Glickman Urological & Kidney Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Phyllis J Goodman
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Janet L Stanford
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA; Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Bettina F Drake
- Department of Surgery, Division of Public Health Sciences, Washington University School of Medicine, St. Louis, MO, USA
| | - Jennifer J Hu
- Sylvester Comprehensive Cancer Center and Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Peter E Clark
- Atrium Health/Levine Cancer Institute, Charlotte, NC, USA
| | - Pascal Blanchet
- CHU de Guadeloupe, Univ Antilles, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) -UMR_S 1085, Rennes, France
| | - Graham Casey
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Anselm J M Hennis
- Department of Preventive Medicine, Stony Brook University, Stony Brook, NY, USA; George Alleyne Chronic Disease Research Centre and Faculty of Medical Sciences, The University of the West Indies, Bridgetown, Barbados
| | - Alexander Lubwama
- School of Public Health, Makerere University College of Health Sciences, Kampala, Uganda
| | - Ian M Thompson
- CHRISTUS Santa Rosa Health System and The University of Texas Health Science Center, San Antonio, TX, USA
| | - Robin J Leach
- Department of Cell Systems and Anatomy, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Susan M Gundell
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Loreall Pooler
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - James L Mohler
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Urology, Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Elizabeth T H Fontham
- School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA, USA
| | - Gary J Smith
- Department of Urology, Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Jack A Taylor
- Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA; Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Laurent Brureau
- CHU de Guadeloupe, Univ Antilles, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) -UMR_S 1085, Rennes, France
| | - William J Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | | | - Evelyn Tay
- Korle Bu Teaching Hospital, Accra, Ghana
| | | | | | - Yao Tettey
- Korle Bu Teaching Hospital, Accra, Ghana; University of Ghana Medical School, Accra, Ghana
| | - Rohit Varma
- Southern California Eye Institute, CHA Hollywood Presbyterian Medical Center, Los Angeles, CA, USA
| | - Roberta McKean-Cowdin
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Mina Torres
- Southern California Eye Institute, CHA Hollywood Presbyterian Medical Center, Los Angeles, CA, USA
| | | | | | | | - Olufemi Ogunbiyi
- College of Medicine, University of Ibadan and University College Hospital, Ibadan, Nigeria
| | | | - Olufemi Popoola
- College of Medicine, University of Ibadan and University College Hospital, Ibadan, Nigeria
| | - Akindele O Adebiyi
- College of Medicine, University of Ibadan and University College Hospital, Ibadan, Nigeria
| | - Oseremen I Aisuodionoe-Shadrach
- College of Health Sciences, University of Abuja, University of Abuja Teaching Hospital and Cancer Science Center, Abuja, Nigeria
| | - Maxwell Nwegbu
- College of Health Sciences, University of Abuja, University of Abuja Teaching Hospital and Cancer Science Center, Abuja, Nigeria
| | | | | | | | - Edward D Yeboah
- Korle Bu Teaching Hospital, Accra, Ghana; University of Ghana Medical School, Accra, Ghana
| | | | | | - Halimatou Diop
- Laboratoires Bacteriologie et Virologie, Hôpital Aristide Le Dantec, Dakar, Senegal
| | - Michael B Cook
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Bethesda, MD, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Bethesda, MD, USA
| | - Stephen Watya
- School of Public Health, Makerere University College of Health Sciences, Kampala, Uganda; Uro Care, Kampala, Uganda
| | - Rosalind A Eeles
- The Institute of Cancer Research, Sutton, London, UK; Royal Marsden NHS Foundation Trust, London, UK
| | - Charleston W K Chiang
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | - Joseph Lachance
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA
| | - Timothy R Rebbeck
- Harvard TH Chan School of Public Health and Division of Population Sciences, Dana Farber Cancer Institute, Boston, MA, USA
| | - David V Conti
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Christopher A Haiman
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA.
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Bush WS, Wheeler N, Darabos C, Beaulieu-Jones B. Packaging Biocomputing Software to Maximize Distribution and Reuse. Pac Symp Biocomput 2022; 27:412-416. [PMID: 34890169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
The majority of publications in computational biology and biocomputing develop or apply software approaches to relevant biological problems to some degree. While journals and conferences often prompt authors to make their source code available, these are often only basic requirements. Investigators often wish their software and tools were widely usable to the scientific community, but there are limited resources available to maximize the distribution and provide easy use of developed software. Even when authors adhere to standards of source code availability, the growing problem of system configuration issues, language and library version conflicts, and other implementation issues often impede the broad distribution, availability of software tools, and reproducibility of research. There are a variety of solutions to these implementation issues, but the learning curve for applying these solutions can be steep. This tutorial demonstrates tools and approaches for packaging and distribution of published code, and provides methodological practices for the broad and open sharing of new biocomputing software.
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Affiliation(s)
- William S Bush
- Cleveland Institute for Computational Biology, Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA,
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Kaur H, Crawford DC, Liang J, Benchek P, Zhu X, Kallianpur AR, Bush WS. Replication of European hypertension associations in a case-control study of 9,534 African Americans. PLoS One 2021; 16:e0259962. [PMID: 34793544 PMCID: PMC8601554 DOI: 10.1371/journal.pone.0259962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 10/29/2021] [Indexed: 12/01/2022] Open
Abstract
Objective Hypertension is more prevalent in African Americans (AA) than other ethnic groups. Genome-wide association studies (GWAS) have identified loci associated with hypertension and other cardio-metabolic traits like type 2 diabetes, coronary artery disease, and body mass index (BMI), however the AA population is underrepresented in these studies. In this study, we examined a large AA cohort for the generalizability of 14 Metabochip array SNPs with previously reported European hypertension associations. Methods To evaluate associations, we analyzed genotype data of 14 SNPs for their associations with a diagnosis of hypertension, systolic blood pressure (SBP), and diastolic blood pressure (DBP) in a case-control study of an AA population (N = 9,534). We also performed an age-stratified analysis (>30, 30≥59 and ≥60 years) following the hypertension definition described by the 8th Joint National Committee (JNC). Associations were adjusted for BMI, age, age2, sex, clinical confounders, and genetic ancestry using multivariable regression models to estimate odds ratios (ORs) and beta-coefficients. Analyses stratified by sex were also conducted. Meta-analyses (including both BioVU and COGENT-BP cohorts) were performed using a random-effects model. Results We found rs880315 to be associated with systolic hypertension (SBP≥140 mmHg) in the entire cohort (OR = 1.14, p = 0.003) and within women only (OR = 1.16, p = 0.012). Variant rs17080093 associated with lower SBP and DBP (β = -2.99, p = 0.0352 and - β = 1.69, p = 0.0184) among younger individuals, particularly in younger women (β = -3.92, p = 0.0025 and β = -1.87, p = 0.0241 for SBP and DBP respectively). SNP rs1530440 associated with higher SBP and DBP measurements (younger individuals β = 4.1, p = 0.039 and β = 2.5, p = 0.043 for SBP and DBP; (younger women β = 4.5, p = 0.025 and β = 2.9, p = 0.028 for SBP and DBP), and hypertension risk in older women (OR = 1.4, p = 0.050). rs16948048 increases hypertension risk in younger individuals (OR = 1.31, p = 0.011). Among mid-age women rs880315 associated with higher risk of hypertension (OR = 1.20, p = 0.027). rs1361831 associated with DBP (β = -1.96, p = 0.02) among individuals older than 60 years. rs3096277 increases hypertension risk among older individuals (OR = 1.26 p = 0.0015), however, this variant also reduces SBP among younger women (β = -2.63, p = 0.0102). Conclusion These findings suggest that European-descent and AA populations share genetic loci that contribute to blood pressure traits and hypertension. However, the OR and beta-coefficient estimates differ, and some are age-dependent. Additional genetic studies of hypertension in AA are warranted to identify new loci associated with hypertension and blood pressure traits in this population.
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Affiliation(s)
- Harpreet Kaur
- Genomic Medicine Institute, Cleveland Clinic/Lerner Research Institute, Cleveland, OH, United States of America
- Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, United States of America
| | - Dana C. Crawford
- Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, United States of America
| | - Jingjing Liang
- Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, United States of America
| | - Penelope Benchek
- Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, United States of America
| | | | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, United States of America
| | - Asha R. Kallianpur
- Genomic Medicine Institute, Cleveland Clinic/Lerner Research Institute, Cleveland, OH, United States of America
- Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, United States of America
| | - William S. Bush
- Genomic Medicine Institute, Cleveland Clinic/Lerner Research Institute, Cleveland, OH, United States of America
- Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, United States of America
- * E-mail:
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McHenry ML, Wampande EM, Joloba ML, Malone LL, Mayanja-Kizza H, Bush WS, Boom WH, Williams SM, Stein CM. Interaction between M. tuberculosis Lineage and Human Genetic Variants Reveals Novel Pathway Associations with Severity of TB. Pathogens 2021; 10:pathogens10111487. [PMID: 34832643 PMCID: PMC8617877 DOI: 10.3390/pathogens10111487] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 11/01/2021] [Accepted: 11/10/2021] [Indexed: 11/17/2022] Open
Abstract
Tuberculosis (TB) remains a major public health threat globally, especially in sub-Saharan Africa. Both human and Mycobacterium tuberculosis (MTBC) genetic variation affect TB outcomes, but few studies have examined if and how the two genomes interact to affect disease. We hypothesize that long-term coexistence between human genomes and MTBC lineages modulates disease to affect its severity. We examined this hypothesis in our TB household contact study in Kampala, Uganda, in which we identified three MTBC lineages, of which one, L4.6-Uganda, is clearly derived and hence recent. We quantified TB severity using the Bandim TBscore and examined the interaction between MTBC lineage and human single-nucleotide polymorphisms (SNPs) genome-wide, in two independent cohorts of TB cases (n = 149 and n = 127). We found a significant interaction between an SNP in PPIAP2 and the Uganda lineage (combined p = 4 × 10−8). PPIAP2 is a pseudogene that is highly expressed in immune cells. Pathway and eQTL analyses indicated potential roles between coevolving SNPs and cellular replication and metabolism as well as platelet aggregation and coagulation. This finding provides further evidence that host–pathogen interactions affect clinical presentation differently than host and pathogen genetic variation independently, and that human–MTBC coevolution is likely to explain patterns of disease severity.
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Affiliation(s)
- Michael L. McHenry
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44016, USA; (M.L.M.); (W.S.B.); (S.M.W.)
| | - Eddie M. Wampande
- Department of Medical Microbiology, College of Health Sciences, Makerere University, Kampala, Uganda; (E.M.W.); (M.L.J.)
| | - Moses L. Joloba
- Department of Medical Microbiology, College of Health Sciences, Makerere University, Kampala, Uganda; (E.M.W.); (M.L.J.)
| | - LaShaunda L. Malone
- Division of Infectious Diseases and HIV Medicine, Department of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA; (L.L.M.); (W.H.B.)
| | - Harriet Mayanja-Kizza
- Department of Medicine and Mulago Hospital, School of Medicine, Makerere University, Kampala, Uganda;
| | - William S. Bush
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44016, USA; (M.L.M.); (W.S.B.); (S.M.W.)
| | - W. Henry Boom
- Division of Infectious Diseases and HIV Medicine, Department of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA; (L.L.M.); (W.H.B.)
| | - Scott M. Williams
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44016, USA; (M.L.M.); (W.S.B.); (S.M.W.)
| | - Catherine M. Stein
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44016, USA; (M.L.M.); (W.S.B.); (S.M.W.)
- Department of Medical Microbiology, College of Health Sciences, Makerere University, Kampala, Uganda; (E.M.W.); (M.L.J.)
- Correspondence:
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Stein CM, Benchek P, Bartlett J, Igo RP, Sobota RS, Chervenak K, Mayanja-Kizza H, von Reyn CF, Lahey T, Bush WS, Boom WH, Scott WK, Marsit C, Sirugo G, Williams SM. Methylome-wide Analysis Reveals Epigenetic Marks Associated With Resistance to Tuberculosis in Human Immunodeficiency Virus-Infected Individuals From East Africa. J Infect Dis 2021; 224:695-704. [PMID: 33400784 DOI: 10.1093/infdis/jiaa785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 01/04/2021] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Tuberculosis (TB) is the most deadly infectious disease globally and is highly prevalent in the developing world. For individuals infected with both Mycobacterium tuberculosis (Mtb) and human immunodeficiency virus (HIV), the risk of active TB is 10% or more annually. Previously, we identified in a genome-wide association study (GWAS) a region on chromosome 5 associated with resistance to TB, which included epigenetic marks that could influence gene regulation. We hypothesized that HIV-infected individuals exposed to Mtb who remain disease free carry epigenetic changes that strongly protect them from active TB. METHODS We conducted a methylome-wide study in HIV-infected, TB-exposed cohorts from Uganda and Tanzania and integrated data from our GWAS. RESULTS We identified 3 regions of interest that included markers that were differentially methylated between TB cases and controls with latent TB infection: chromosome 1 (RNF220, P = 4 × 10-5), chromosome 2 (between COPS8 and COL6A3, P = 2.7 × 10-5), and chromosome 5 (CEP72, P = 1.3 × 10-5). These methylation results co-localized with associated single-nucleotide polymorphisms (SNPs), methylation QTLs, and methylation × SNP interaction effects. These markers were in regions with regulatory markers for cells involved in TB immunity and/or lung. CONCLUSIONS Epigenetic regulation is a potential biologic factor underlying resistance to TB in immunocompromised individuals that can act in conjunction with genetic variants.
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Affiliation(s)
- Catherine M Stein
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA.,Division of Infectious Disease and HIV Medicine, Department of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Penelope Benchek
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA
| | - Jacquelaine Bartlett
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA
| | - Robert P Igo
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA
| | - Rafal S Sobota
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Keith Chervenak
- Division of Infectious Disease and HIV Medicine, Department of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Harriet Mayanja-Kizza
- Department of Medicine and Mulago Hospital, School of Medicine, Makerere University, Kampala, Uganda
| | - C Fordham von Reyn
- Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, USA
| | - Timothy Lahey
- Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, USA
| | - William S Bush
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA
| | - W Henry Boom
- Division of Infectious Disease and HIV Medicine, Department of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - William K Scott
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, Florida, USA
| | - Carmen Marsit
- Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Giorgio Sirugo
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Scott M Williams
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA.,Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio, USA
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Kaur H, Bush WS, Letendre SL, Ellis RJ, Heaton RK, Patton SM, Connor JR, Samuels DC, Franklin DR, Hulgan T, Kallianpur AR. Higher CSF Ferritin Heavy-Chain (Fth1) and Transferrin Predict Better Neurocognitive Performance in People with HIV. Mol Neurobiol 2021; 58:4842-4855. [PMID: 34195939 DOI: 10.1007/s12035-021-02433-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 05/18/2021] [Indexed: 10/21/2022]
Abstract
HIV-associated neurocognitive disorder (HAND) remains prevalent despite antiretroviral therapy and involves white matter damage in the brain. Although iron is essential for myelination and myelin maintenance/repair, its role in HAND is largely unexplored. We tested the hypotheses that cerebrospinal fluid (CSF) heavy-chain ferritin (Fth1) and transferrin, proteins integral to iron delivery and myelination, are associated with neurocognitive performance in people with HIV (PWH). Fth1, transferrin, and the pro-inflammatory cytokines TNF-α and IL-6 were quantified in CSF at baseline (entry) in 403 PWH from a prospective observational study who underwent serial, comprehensive neurocognitive assessments. Associations of Fth1 and transferrin with Global Deficit Score (GDS)-defined neurocognitive performance at baseline and 30-42 months of follow-up were evaluated by multivariable regression. While not associated with neurocognitive performance at baseline, higher baseline CSF Fth1 predicted significantly better neurocognitive performance over 30 months in all PWH (p < 0.05), in PWH aged < 50 at 30, 36, and 42 months (all p < 0.05), and in virally suppressed PWH at all three visit time-points (all p < 0.01). Higher CSF transferrin was associated with superior neurocognitive performance at all visits, primarily in viremic individuals (all p < 0.05). All associations persisted after adjustment for neuro-inflammation. In summary, higher CSF Fth1 is neuroprotective over prolonged follow-up in all and virally suppressed PWH, while higher CSF transferrin may be most neuroprotective during viremia. We speculate that higher CSF levels of these critical iron-delivery proteins support improved myelination and consequently, neurocognitive performance in PWH, providing a rationale for investigating their role in interventions to prevent and/or treat HAND.
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Affiliation(s)
- Harpreet Kaur
- Genomic Medicine Institute, Cleveland Clinic/Lerner Research Institute, 9500 Euclid Ave/Mail Code R4-008, Cleveland, OH, 44195, USA
| | - William S Bush
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Scott L Letendre
- Departments of Medicine and Psychiatry, University of California-San Diego, San Diego, CA, USA
| | - Ronald J Ellis
- Departments of Neurology and Psychiatry, University of California-San Diego, San Diego, CA, USA
| | - Robert K Heaton
- Department of Psychiatry, University of California-San Diego, San Diego, CA, USA
| | - Stephanie M Patton
- Department of Neurosurgery, Pennsylvania State/Hershey College of Medicine, Hershey, PA, USA
| | - James R Connor
- Department of Neurosurgery, Pennsylvania State/Hershey College of Medicine, Hershey, PA, USA
| | - David C Samuels
- Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Donald R Franklin
- Department of Psychiatry, University of California-San Diego, San Diego, CA, USA
| | - Todd Hulgan
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Asha R Kallianpur
- Genomic Medicine Institute, Cleveland Clinic/Lerner Research Institute, 9500 Euclid Ave/Mail Code R4-008, Cleveland, OH, 44195, USA. .,Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA. .,Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA.
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