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Li M, Song Z, Gurinovich A, Schork N, Sebastiani P, Monti S. yQTL Pipeline: a structured computational workflow for large scale quantitative trait loci discovery and downstream visualization. bioRxiv 2024:2024.01.26.577518. [PMID: 38370654 PMCID: PMC10874520 DOI: 10.1101/2024.01.26.577518] [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] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Quantitative trait loci (QTL) denote regions of DNA whose variation is associated with variations in quantitative traits. QTL discovery is a powerful approach to understand how changes in molecular and clinical phenotypes may be related to DNA sequence changes. However, QTL discovery analysis encompasses multiple analytical steps and the processing of multiple input files, which can be laborious, error prone, and hard to reproduce if performed manually. In order to facilitate and automate large-scale QTL analysis, we developed the yQTL Pipeline, where the 'y' indicates the dependent quantitative variable being modeled. Prior to genome-wide association test, the pipeline supports the calculation or the direct input of pre-defined genome-wide principal components and genetic relationship matrix when applicable. User-specified covariates can also be provided. Depending on whether familial relatedness exists among the subjects, genome-wide association tests will be performed using either a linear mixed-effect model or a linear model. Using the workflow management tool Nextflow, the pipeline parallelizes the analysis steps to optimize run-time and ensure results reproducibility. In addition, a user-friendly R Shiny App is developed to facilitate result visualization. Upon uploading the result file, it can generate Manhattan plots of user-selected phenotype traits and trait-QTL connection networks based on user-specified p-value thresholds. We applied the yQTL Pipeline to analyze metabolomics profiles of blood serum from the New England Centenarians Study (NECS) participants. A total of 9.1M SNPs and 1,052 metabolites across 194 participants were analyzed. Using a p-value cutoff 5e-8, we found 14,983 mQTLs cumulatively associated with 312 metabolites. The built-in parallelization of our pipeline reduced the run time from ~90 min to ~26 min. Visualization using the R Shiny App revealed multiple mQTLs shared across multiple metabolites. The yQTL Pipeline is available with documentation on GitHub at https://github.com/montilab/yQTL-Pipeline.
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Affiliation(s)
- Mengze Li
- Bioinformatics Program, Faculty of Computing & Data Sciences, Boston University, Boston, MA, USA
- Section of Computational Biomedicine, School of Medicine, Boston University, Boston, MA, USA
| | - Zeyuan Song
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
| | - Anastasia Gurinovich
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA
- Department of Medicine, School of Medicine, Tufts University, Boston, MA, USA
| | - Nicholas Schork
- Quantitative Medicine and Systems Biology, The Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Paola Sebastiani
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA
- Department of Medicine, School of Medicine, Tufts University, Boston, MA, USA
- Data Intensive Study Center, Tufts University, Boston, MA, USA
| | - Stefano Monti
- Bioinformatics Program, Faculty of Computing & Data Sciences, Boston University, Boston, MA, USA
- Section of Computational Biomedicine, School of Medicine, Boston University, Boston, MA, USA
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
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Estabrooks T, Gurinovich A, Pietruska J, Lewis B, Harvey G, Post G, Lambert L, Miller A, Rodrigues L, White ME, Lopes C, London CA, Megquier K. Identification of genomic alterations with clinical impact in canine splenic hemangiosarcoma. Vet Comp Oncol 2023; 21:623-633. [PMID: 37734854 DOI: 10.1111/vco.12925] [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: 11/23/2022] [Revised: 07/11/2023] [Accepted: 07/12/2023] [Indexed: 09/23/2023]
Abstract
Canine hemangiosarcoma (HSA) is an aggressive cancer of endothelial cells with short survival times. Understanding the genomic landscape of HSA may aid in developing therapeutic strategies for dogs and may also inform therapies for the rare and aggressive human cancer angiosarcoma. The objectives of this study were to build a framework for leveraging real-world genomic and clinical data that could provide the foundation for precision medicine in veterinary oncology, and to determine the relationships between genomic and clinical features in canine splenic HSA. One hundred and nine dogs with primary splenic HSA treated by splenectomy that had tumour sequencing via the FidoCure® Precision Medicine Platform targeted sequencing panel were enrolled. Patient signalment, weight, metastasis at diagnosis and overall survival time were retrospectively evaluated. The incidence of genomic alterations in individual genes and their relationship to patient variables including outcome were assessed. Somatic mutations in TP53 (n = 44), NRAS (n = 20) and PIK3CA (n = 19) were most common. Survival was associated with presence of metastases at diagnosis and germline variants in SETD2 and NOTCH1. Age at diagnosis was associated with somatic NRAS mutations and breed. TP53 and PIK3CA somatic mutations were found in larger dogs, while germline SETD2 variants were found in smaller dogs. We identified both somatic mutations and germline variants associated with clinical variables including age, breed and overall survival. These genetic changes may be useful prognostic factors and provide insight into the genomic landscape of hemangiosarcoma.
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Affiliation(s)
- Timothy Estabrooks
- Cummings School of Veterinary Medicine, Tufts University, North Grafton, Massachusetts, USA
| | | | - Jodie Pietruska
- MassBio, UMass Chan Medical School, Worcester, Massachusetts, USA
| | | | | | - Gerald Post
- One Health Company, Palo Alto, California, USA
| | | | | | | | | | | | - Cheryl A London
- Cummings School of Veterinary Medicine, Tufts University, North Grafton, Massachusetts, USA
| | - Kate Megquier
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
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Leshchyk A, Xiang Q, Andersen SL, Gurinovich A, Song Z, Lee JH, Christensen K, Yashin A, Wojczynski M, Schwander K, Perls TT, Monti S, Sebastiani P. Mosaic Chromosomal Alterations and Human Longevity. J Gerontol A Biol Sci Med Sci 2023; 78:1561-1568. [PMID: 36988570 PMCID: PMC10460554 DOI: 10.1093/gerona/glad095] [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: 11/11/2022] [Indexed: 03/30/2023] Open
Abstract
Mosaic chromosomal alterations (mCAs) are structural alterations associated with aging, cancer, cardiovascular disease, infectious diseases, and mortality. The distribution of mCAs in centenarians and individuals with familial longevity is poorly understood. We used MOsaic CHromosomal Alteration (MoChA) to discover mCAs in 2050 centenarians, offspring, and 248 controls from the New England Centenarian Study (NECS) and in 3 642 subjects with familial longevity and 920 spousal controls from the Long-Life Family Study (LLFS). We analyzed study-specific associations of somatic mCAs with age, familial longevity, the incidence of age-related diseases, and mortality and aggregated the results by meta-analysis. We show that the accumulation of mCAs > 100 KB increased to 102 years and plateaued at older ages. Centenarians and offspring accumulated fewer autosomal mCAs compared with controls (relative risk 0.637, p = .0147). Subjects with the APOE E4 allele had a 35.3% higher risk of accumulating autosomal mCAs (p = .002). Males were at higher risk for mCAs compared to females (male relative risk 1.36, p = 5.15e-05). mCAs were associated with increased hazard for cancer (hazard ratio 1.2) and dementia (hazard ratio 1.259) at a 10% false discovery rate. We observed a borderline significant association between mCAs and risk for mortality (hazard ratio 1.07, p = .0605). Our results show that the prevalence of individuals with mCAs does not continue to increase at ages >102 years and factors promoting familial longevity appear to confer protections from mCAs. These results suggest that limited mCA accumulation could be an important mechanism for extreme human longevity that needs to be investigated.
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Affiliation(s)
- Anastasia Leshchyk
- Bioinformatics Program, Boston University, Boston, Massachusetts, USA
- Department of Medicine, Computational Biomedicine Section, Boston University, Boston, Massachusetts, USA
| | - Qingyan Xiang
- Department of Biostatistics, Boston University, Boston, Massachusetts, USA
| | - Stacy L Andersen
- Department of Medicine, Section of Geriatrics, Boston University, Boston, Massachusetts, USA
| | - Anastasia Gurinovich
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts, USA
| | - Zeyuan Song
- Department of Biostatistics, Boston University, Boston, Massachusetts, USA
| | - Joseph H Lee
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University, New York, New York, USA
| | - Kaare Christensen
- Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Anatoliy Yashin
- Social Science Research Institute, Duke University, Durham, North Carolina, USA
| | - Mary Wojczynski
- Department of Genetics, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Karen Schwander
- Division of Biostatistics, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Thomas T Perls
- Department of Medicine, Section of Geriatrics, Boston University, Boston, Massachusetts, USA
| | - Stefano Monti
- Department of Medicine, Computational Biomedicine Section, Boston University, Boston, Massachusetts, USA
| | - Paola Sebastiani
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts, USA
- Department of Medicine, Tufts University, Boston, Massachusetts, USA
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Song Z, Gurinovich A, Nygaard M, Mengel-From J, Andersen S, Cosentino S, Schupf N, Lee J, Zmuda J, Ukraintseva S, Arbeev K, Christensen K, Perls T, Sebastiani P. Rare genetic variants correlate with better processing speed. Neurobiol Aging 2023; 125:115-122. [PMID: 36813607 PMCID: PMC10038891 DOI: 10.1016/j.neurobiolaging.2022.11.018] [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: 02/01/2022] [Revised: 04/17/2022] [Accepted: 11/23/2022] [Indexed: 01/30/2023]
Abstract
We conducted a genome-wide association study of Digit Symbol Substitution Test scores administered in 4207 family members of the Long Life Family Study (LLFS). Genotype data were imputed to the HRC panel of 64,940 haplotypes resulting in ∼15M genetic variants with a quality score > 0.7. The results were replicated using genetic data imputed to the 1000 Genomes phase 3 reference panel from 2 Danish twin cohorts: the study of Middle Aged Danish Twins and the Longitudinal Study of Aging Danish Twins. The genome-wide association study in LLFS discovered 18 rare genetic variants (minor allele frequency (MAF) < 1.0%) that reached genome-wide significance (p-value < 5 × 10-8). Among these, 17 rare variants in chromosome 3 had large protective effects on the processing speed, including rs7623455, rs9821776, rs9821587, rs78704059, which were replicated in the combined Danish twin cohort. These SNPs are located in/near 2 genes, THRB and RARB, that belonged to the thyroid hormone receptors family that may influence the speed of metabolism and cognitive aging. The gene-level tests in LLFS confirmed that these 2 genes are associated with processing speed.
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Affiliation(s)
- Zeyuan Song
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
| | - Anastasia Gurinovich
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA
| | - Marianne Nygaard
- Epidemiology, Biostatistics and Biodemography, The Danish Aging Research Center, and The Danish Twin Registry, Institute of Public Health, University of Southern Denmark, Odense, Denmark; Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Jonas Mengel-From
- Epidemiology, Biostatistics and Biodemography, The Danish Aging Research Center, and The Danish Twin Registry, Institute of Public Health, University of Southern Denmark, Odense, Denmark; Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Stacy Andersen
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Stephanie Cosentino
- Departments of Epidemiology and Neurology, Columbia University Medical Center, New York, NY, USA
| | - Nicole Schupf
- Departments of Epidemiology and Neurology, Columbia University Medical Center, New York, NY, USA
| | - Joseph Lee
- Departments of Epidemiology and Neurology, Columbia University Medical Center, New York, NY, USA
| | - Joseph Zmuda
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Svetlana Ukraintseva
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA
| | - Konstantin Arbeev
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA
| | - Kaare Christensen
- Epidemiology, Biostatistics and Biodemography, The Danish Aging Research Center, and The Danish Twin Registry, Institute of Public Health, University of Southern Denmark, Odense, Denmark; Department of Clinical Genetics, Odense University Hospital, Odense, Denmark; Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
| | - Thomas Perls
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Paola Sebastiani
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA
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Bae H, Gurinovich A, Karagiannis TT, Song Z, Leshchyk A, Li M, Andersen SL, Arbeev K, Yashin A, Zmuda J, An P, Feitosa M, Giuliani C, Franceschi C, Garagnani P, Mengel-From J, Atzmon G, Barzilai N, Puca A, Schork NJ, Perls TT, Sebastiani P. A Genome-Wide Association Study of 2304 Extreme Longevity Cases Identifies Novel Longevity Variants. Int J Mol Sci 2022; 24:ijms24010116. [PMID: 36613555 PMCID: PMC9820206 DOI: 10.3390/ijms24010116] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 12/08/2022] [Accepted: 12/15/2022] [Indexed: 12/24/2022] Open
Abstract
We performed a genome-wide association study (GWAS) of human extreme longevity (EL), defined as surviving past the 99th survival percentile, by aggregating data from four centenarian studies. The combined data included 2304 EL cases and 5879 controls. The analysis identified a locus in CDKN2B-AS1 (rs6475609, p = 7.13 × 10-8) that almost reached genome-wide significance and four additional loci that were suggestively significant. Among these, a novel rare variant (rs145265196) on chromosome 11 had much higher longevity allele frequencies in cases of Ashkenazi Jewish and Southern Italian ancestry compared to cases of other European ancestries. We also correlated EL-associated SNPs with serum proteins to link our findings to potential biological mechanisms that may be related to EL and are under genetic regulation. The findings from the proteomic analyses suggested that longevity-promoting alleles of significant genetic variants either provided EL cases with more youthful molecular profiles compared to controls or provided some form of protection from other illnesses, such as Alzheimer's disease, and disease progressions.
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Affiliation(s)
- Harold Bae
- Biostatistics Program, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR 97331, USA
- Correspondence:
| | - Anastasia Gurinovich
- Center for Quantitative Methods and Data Science, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA 02111, USA
| | - Tanya T. Karagiannis
- Center for Quantitative Methods and Data Science, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA 02111, USA
| | - Zeyuan Song
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Anastasia Leshchyk
- Division of Computational Biomedicine, Boston University, Boston, MA 02215, USA
| | - Mengze Li
- Division of Computational Biomedicine, Boston University, Boston, MA 02215, USA
| | - Stacy L. Andersen
- Chobanian & Avedisian School of Medicine, Boston University, Boston, MA 02215, USA
| | - Konstantin Arbeev
- Social Science Research Institute, Duke University, Durham, NC 27708, USA
| | - Anatoliy Yashin
- Social Science Research Institute, Duke University, Durham, NC 27708, USA
| | - Joseph Zmuda
- School of Public Health, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Ping An
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Mary Feitosa
- Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Cristina Giuliani
- Department of Biological, Geological and Environmental Sciences, University of Bologna, 40126 Bologna, Italy
| | - Claudio Franceschi
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40126 Bologna, Italy
- Department of Applied Mathematics and Laboratory of Systems Medicine of Aging, Lobachevsky University, 603950 Nizhny Novgorod, Russia
| | - Paolo Garagnani
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40126 Bologna, Italy
| | - Jonas Mengel-From
- Department of Public Health, University of Southern Denmark, 5230 Odense, Denmark
| | - Gil Atzmon
- Faculty of Natural Sciences, University of Haifa, Haifa 3498838, Israel
- Department of Genetics and Medicine, Albert Einstein College of Medicine, Bronx, NY 10451, USA
| | - Nir Barzilai
- Department of Genetics and Medicine, Albert Einstein College of Medicine, Bronx, NY 10451, USA
| | - Annibale Puca
- Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, 84084 Fisciano, Italy
- Cardiovascular Research Unit, IRCCS MultiMedica, 20099 Milan, Italy
| | - Nicholas J. Schork
- Quantitative Medicine & Systems Biology Division, Translational Genomics Research Institute, Phoenix, AZ 85004, USA
| | - Thomas T. Perls
- Chobanian & Avedisian School of Medicine, Boston University, Boston, MA 02215, USA
| | - Paola Sebastiani
- Center for Quantitative Methods and Data Science, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA 02111, USA
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Bae H, Gurinovich A, Song Z, Leshchyk A, Li M, Barzilai N, Perls T, Sebastiani P. MEGA-ANALYSIS OF A CONSORTIUM OF FOUR CENTENARIAN STUDIES IDENTIFIES NOVEL EXTREME LONGEVITY VARIANTS. Innov Aging 2022. [DOI: 10.1093/geroni/igac059.1743] [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: 12/24/2022] Open
Abstract
Abstract
The meta-analysis of extreme longevity (EL) conducted in 2017 using a consortium of four longevity studies—the New England Centenarian Study (NECS), the Long Life Family Study (LLFS), the Southern Italian Centenarian Study (SICS), and the Longevity Gene Project (LGP)—confirmed previous associations with APOE alleles and identified additional candidate genes. The current study builds upon this work. Using an aggregated set of the four studies (mega-analysis), we sought to identify additional longevity variants. The current study includes 234 additional cases with a total of 2304 cases (median age=103, age range=[96, 119]), defined as living past the age at which less than 1% individuals from the 1900 - 1920 birth year cohorts survived and approximately 6,000 controls. Approximately 10 million genotyped and imputed SNPs that passed imputation quality score threshold of 0.7 and that had a minor allele count of 3 or greater were analyzed. We ran a mixed effects logistic model for EL adjusting for sex, top principal components, indicator for living in Denmark, indicator for living in Italy, and the genetic relationship matrix. The analysis identified 21 novel loci that are genome-wide significant, both common and rare, and these loci were not previously published. The genome-wide significant loci include genes such as ADGRL2 (p=6.46-15), HLA-DPA1 (p=1.06-8), GRK5 (p=2.01-8), TECTB (p=3.38-8), KCNQ1 (p=7.53-10), TEAD2 (p=9.53-10), and several intergenic regions. We are currently in the process of seeking replication of the top results in independent cohorts.
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Affiliation(s)
- Harold Bae
- Oregon State University , Corvallis, Oregon , United States
| | | | - Zeyuan Song
- Boston University , Boston, Massachusetts , United States
| | | | - Mengze Li
- Boston University , Boston, Massachusetts , United States
| | - Nir Barzilai
- Albert Einstein College of Medicine , Bronz, New York , United States
| | - Thomas Perls
- Boston University , Boston, Massachusetts , United States
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Leshchyk A, Xiang Q, Monti S, Perls T, Andersen S, Gurinovich A, Song Z, Sebastiani P. MOSAIC CHROMOSOMAL ALTERATIONS AND LONGEVITY. Innov Aging 2022. [PMCID: PMC9770443 DOI: 10.1093/geroni/igac059.523] [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: 12/24/2022] Open
Abstract
Mosaic chromosomal alterations (mCAs) are structural alterations that are associated with mortality, age, cancer, cardiovascular disease, and diverse infections. The distribution of mCAs in long-lived subjects and individuals with familial longevity is not well described. We applied MOsaic CHromosomal Alteration (MoChA) caller on genome-wide genotype samples of 2025 centenarians, their siblings, and offspring and 273 unrelated controls from the New England Centenarian Study (NECS) and 3642 subjects with familial longevity and 920 controls from the Long-Life Family Study (LLFS). MoChA utilizes a Hidden Markov Model to detect mCA-induced deviations in allelic balance at heterozygous sites with Log R Ratio and B-allele frequency (BAF) with phased genotype information. We analyzed somatic mCAs in samples with genome-wide BAF phase concordance less than 0.51, LOD score greater than 10, and estimated cell fraction less than 50%. The results in the two studies showed that autosomal mCAs spanning over 100 kbase pairs increase with older age until approximately 102 years. However, the prevalence of the subjects with mCAs tends to plateau after that age, suggesting that the accumulation of mCAs is less prevalent in long-lived subjects. We also found that offspring and siblings of centenarians accumulate less autosomal mCAs (fixed-effect meta-analysis for NECS and LLFS: RR=0.78, p=0.033) compared to unrelated controls. In addition, consistent with results from other studies, mCAs are associated with increased risk for mortality (HR=1.08, p=0.02) and sex (Male RR=1.37, p=4.15e-05), and impact incident events of cancer, dementia, diabetes, and cardiovascular diseases even at extreme old ages.
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Affiliation(s)
| | - Qingyan Xiang
- Boston University, Boston, Massachusetts, United States
| | - Stefano Monti
- Boston University, Boston, Massachusetts, United States
| | - Thomas Perls
- Boston University, Boston, Massachusetts, United States
| | - Stacy Andersen
- Boston University School of Medicine, Boston, Massachusetts, United States
| | | | - Zeyuan Song
- Boston University, Boston, Massachusetts, United States
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Gurinovich A, Bae H, Song Z, Leshchyk A, Li M, Andersen S, Perls T, Sebastiani P. GENOME-WIDE ASSOCIATION STUDY OF EXTREME LONGEVITY USING WHOLE-GENOME SEQUENCING DATA. Innov Aging 2022. [PMCID: PMC9766189 DOI: 10.1093/geroni/igac059.1556] [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: 12/24/2022] Open
Abstract
Extreme longevity (EL) runs in families which supports the hypothesis that this is a genetically regulated trait. However, with the exception of APOE, genome-wide association studies (GWAS) of EL have not identified many genetic variants that replicate in independent studies. The majority of GWAS of EL have used imputed genotype data. Recently, the Long Life Family Study has generated the largest whole-genome sequencing data of centenarians and matched controls. We perform single-variant and gene-based tests of EL in these data using the nf-gwas-pipeline with the saddle point approximation adjustment of the p-values. These analyses suggest that, in addition to the APOE/TOMM40 region, some uncommon variants of GRM7 (chr3), AUTS2 (chr7), KIF13B (chr8), SLC2A14 (chr12), and ADCY9 (chr16) genes, and other intergenic SNPs in chromosomes 5, 10, and 20 may be implicated with EL.
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Affiliation(s)
| | - Harold Bae
- Oregon State University, Corvallis, Oregon, United States
| | - Zeyuan Song
- Boston University, Boston, Massachusetts, United States
| | | | - Mengze Li
- Boston University, Boston, Massachusetts, United States
| | - Stacy Andersen
- Boston University School of Medicine, Boston, Massachusetts, United States
| | - Thomas Perls
- Boston University, Boston, Massachusetts, United States
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Bae H, Gurinovich A, Song Z, Giuliani C, Nygaard M, Barzilai N, Puca A, Sebastiani P. ETHNICITY-SPECIFIC EXTREME LONGEVITY VARIANTS IN A CONSORTIUM OF FOUR CENTENARIAN STUDIES. Innov Aging 2022. [DOI: 10.1093/geroni/igac059.1741] [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: 12/24/2022] Open
Abstract
Abstract
It has been shown that some longevity variants including the APOE variants have ethnicity-specific effects on EL within European ethnicities. The goal of the present study is to identify genetic variants whose effects vary by ethnicity by conducting a genome-wide association study of extreme longevity (EL: defined as living past the age at which less than 1% individuals from the 1900 - 1920 birth year cohorts survived) that includes the SNP-by-ethnicity interaction terms using a consortium of four centenarian studies: the New England Centenarian Study, the Long Life Family Study, the Southern Italian Centenarian Study, and the Longevity Gene Project. We used the Uniform Manifold Approximation and Projection (UMAP), a non-linear dimension reduction technique, to identify distinct ethnic clusters. The UMAP analysis revealed four distinct ethnic groups (Danish, Italian, Ashkenazi Jewish, and middle European) in the aggregated data set with 2223 cases and 5673 controls. Using a mixed effects logistic model with SNP-by-ethnicity interaction terms, we found 29 loci, in which the test of any interaction effect produced p< 10-5. The results showed that some variants had ethnicity-specific effects on EL. We sought for replication in two independent studies of longevity: the Danish Longevity Study and the Italian Longevity Study. In the Italian Longevity Study, rs7907949 (PFKP), rs11667516 (intergenic: RAB11B;MARCHF2), rs13245505 (intergenic: ZC3HC1;KLHDC10) replicated with a nominal significance level of 0.05. In the Danish Longevity Study, rs79853795 (PLCB1) and rs4072601 (SLC39A11) replicated. Future drug development should account for ethnic-specific differences in the genetic effects for higher efficacy for more diverse populations.
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Affiliation(s)
- Harold Bae
- Oregon State University , Corvallis, Oregon , United States
| | | | - Zeyuan Song
- Boston University , Boston, Massachusetts , United States
| | | | | | - Nir Barzilai
- Albert Einstein College of Medicine , Bronz, New York , United States
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Gurinovich A, Li M, Leshchyk A, Bae H, Song Z, Arbeev KG, Nygaard M, Feitosa MF, Perls TT, Sebastiani P. Evaluation of GENESIS, SAIGE, REGENIE and fastGWA-GLMM for genome-wide association studies of binary traits in correlated data. Front Genet 2022; 13:897210. [PMID: 36212134 PMCID: PMC9544087 DOI: 10.3389/fgene.2022.897210] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 08/08/2022] [Indexed: 11/28/2022] Open
Abstract
Performing a genome-wide association study (GWAS) with a binary phenotype using family data is a challenging task. Using linear mixed effects models is typically unsuitable for binary traits, and numerical approximations of the likelihood function may not work well with rare genetic variants with small counts. Additionally, imbalance in the case-control ratios poses challenges as traditional statistical methods such as the Score test or Wald test perform poorly in this setting. In the last couple of years, several methods have been proposed to better approximate the likelihood function of a mixed effects logistic regression model that uses Saddle Point Approximation (SPA). SPA adjustment has recently been implemented in multiple software, including GENESIS, SAIGE, REGENIE and fastGWA-GLMM: four increasingly popular tools to perform GWAS of binary traits. We compare Score and SPA tests using real family data to evaluate computational efficiency and the agreement of the results. Additionally, we compare various ways to adjust for family relatedness, such as sparse and full genetic relationship matrices (GRM) and polygenic effect estimates. We use the New England Centenarian Study imputed genotype data and the Long Life Family Study whole-genome sequencing data and the binary phenotype of human extreme longevity to compare the agreement of the results and tools’ computational performance. The evaluation suggests that REGENIE might not be a good choice when analyzing correlated data of a small size. fastGWA-GLMM is the most computationally efficient compared to the other three tools, but it appears to be overly conservative when applied to family-based data. GENESIS, SAIGE and fastGWA-GLMM produced similar, although not identical, results, with SPA adjustment performing better than Score tests. Our evaluation also demonstrates the importance of adjusting by full GRM in highly correlated datasets when using GENESIS or SAIGE.
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Affiliation(s)
- Anastasia Gurinovich
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, United States
- *Correspondence: Anastasia Gurinovich,
| | - Mengze Li
- Bioinformatics Program, Boston University, Boston, MA, United States
| | | | - Harold Bae
- Biostatistics Program, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, United States
| | - Zeyuan Song
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States
| | - Konstantin G. Arbeev
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, United States
| | - Marianne Nygaard
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St Louis, MO, United States
| | - Thomas T Perls
- Department of Medicine, Geriatrics Section, Boston University School of Medicine, Boston, MA, United States
| | - Paola Sebastiani
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, United States
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11
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Sebastiani P, Song Z, Ellis D, Tian Q, Schwaiger-Haber M, Stancliffe E, Lustgarten MS, Funk CC, Baloni P, Yao CH, Joshi S, Marron MM, Gurinovich A, Li M, Leshchyk A, Xiang Q, Andersen SL, Feitosa MF, Ukraintseva S, Soerensen M, Fiehn O, Ordovas JM, Haigis M, Monti S, Barzilai N, Milman S, Ferrucci L, Rappaport N, Patti GJ, Perls TT. A metabolomic signature of the APOE2 allele. GeroScience 2022; 45:415-426. [PMID: 35997888 PMCID: PMC9886693 DOI: 10.1007/s11357-022-00646-9] [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: 06/06/2022] [Accepted: 08/15/2022] [Indexed: 02/03/2023] Open
Abstract
With the goal of identifying metabolites that significantly correlate with the protective e2 allele of the apolipoprotein E (APOE) gene, we established a consortium of five studies of healthy aging and extreme human longevity with 3545 participants. This consortium includes the New England Centenarian Study, the Baltimore Longitudinal Study of Aging, the Arivale study, the Longevity Genes Project/LonGenity studies, and the Long Life Family Study. We analyzed the association between APOE genotype groups E2 (e2e2 and e2e3 genotypes, N = 544), E3 (e3e3 genotypes, N = 2299), and E4 (e3e4 and e4e4 genotypes, N = 702) with metabolite profiles in the five studies and used fixed effect meta-analysis to aggregate the results. Our meta-analysis identified a signature of 19 metabolites that are significantly associated with the E2 genotype group at FDR < 10%. The group includes 10 glycerolipids and 4 glycerophospholipids that were all higher in E2 carriers compared to E3, with fold change ranging from 1.08 to 1.25. The organic acid 6-hydroxyindole sulfate, previously linked to changes in gut microbiome that were reflective of healthy aging and longevity, was also higher in E2 carriers compared to E3 carriers. Three sterol lipids and one sphingolipid species were significantly lower in carriers of the E2 genotype group. For some of these metabolites, the effect of the E2 genotype opposed the age effect. No metabolites reached a statistically significant association with the E4 group. This work confirms and expands previous results connecting the APOE gene to lipid regulation and suggests new links between the e2 allele, lipid metabolism, aging, and the gut-brain axis.
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Affiliation(s)
- Paola Sebastiani
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington Street, Boston, MA, 02111, USA.
| | - Zeyuan Song
- Department of Biostatistics, Boston University, Boston, MA, USA
| | - Dylan Ellis
- Institute for Systems Biology, Seattle, WA, USA
| | - Qu Tian
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute On Aging, Baltimore, MD, USA
| | - Michaela Schwaiger-Haber
- Department of Chemistry, Department of Medicine, Center for Metabolomics and Isotope Tracing, Washington University in St. Louis, St. Louis, USA
| | - Ethan Stancliffe
- Department of Chemistry, Department of Medicine, Center for Metabolomics and Isotope Tracing, Washington University in St. Louis, St. Louis, USA
| | - Michael S Lustgarten
- Nutrition, Exercise Physiology, and Sarcopenia Laboratory, Jean Mayer USDA Human Nutrition Research Center On Aging at Tufts University, Boston, MA, USA
| | - Cory C Funk
- Institute for Systems Biology, Seattle, WA, USA
| | | | - Cong-Hui Yao
- Department of Cell Biology at Harvard Medical School, Boston, MA, USA
| | - Shakchhi Joshi
- Department of Cell Biology at Harvard Medical School, Boston, MA, USA
| | - Megan M Marron
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Anastasia Gurinovich
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington Street, Boston, MA, 02111, USA
| | - Mengze Li
- Bioinformatics Program, Boston University, Boston, MA, USA
| | | | - Qingyan Xiang
- Department of Biostatistics, Boston University, Boston, MA, USA
| | - Stacy L Andersen
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St Louis, MI, USA
| | - Svetlana Ukraintseva
- Biodemography of Aging Research Unit, Social Science Research, Duke University, Durham, NC, USA
| | - Mette Soerensen
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Oliver Fiehn
- West Coast Metabolomics Center, University of California, Davis, CA, USA
| | - Jose M Ordovas
- Nutrition and Genomics Team, Jean Mayer USDA Human Nutrition Research Center On Aging and Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, Tufts University, Boston, MB, USA
| | - Marcia Haigis
- Department of Cell Biology at Harvard Medical School, Boston, MA, USA
| | - Stefano Monti
- Bioinformatics Program, Boston University, Boston, MA, USA
- Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA
| | - Nir Barzilai
- Institute for Aging Research, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Sofiya Milman
- Institute for Aging Research, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Luigi Ferrucci
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute On Aging, Baltimore, MD, USA
| | | | - Gary J Patti
- Department of Chemistry, Department of Medicine, Center for Metabolomics and Isotope Tracing, Washington University in St. Louis, St. Louis, USA
| | - Thomas T Perls
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
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12
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Gurtan A, Dominy J, Khalid S, Vong L, Caplan S, Currie T, Richards S, Lamarche L, Denning D, Shpektor D, Gurinovich A, Rasheed A, Hameed S, Saeed S, Saleem I, Jalal A, Abbas S, Sultana R, Rasheed SZ, Memon FUR, Shah N, Ishaq M, Khera AV, Danesh J, Frossard P, Saleheen D. Analyzing human knockouts to validate GPR151 as a therapeutic target for reduction of body mass index. PLoS Genet 2022; 18:e1010093. [PMID: 35381001 PMCID: PMC9022822 DOI: 10.1371/journal.pgen.1010093] [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: 10/25/2021] [Revised: 04/21/2022] [Accepted: 02/13/2022] [Indexed: 11/30/2022] Open
Abstract
Novel drug targets for sustained reduction in body mass index (BMI) are needed to curb the epidemic of obesity, which affects 650 million individuals worldwide and is a causal driver of cardiovascular and metabolic disease and mortality. Previous studies reported that the Arg95Ter nonsense variant of GPR151, an orphan G protein-coupled receptor, is associated with reduced BMI and reduced risk of Type 2 Diabetes (T2D). Here, we further investigate GPR151 with the Pakistan Genome Resource (PGR), which is one of the largest exome biobanks of human homozygous loss-of-function carriers (knockouts) in the world. Among PGR participants, we identify eleven GPR151 putative loss-of-function (plof) variants, three of which are present at homozygosity (Arg95Ter, Tyr99Ter, and Phe175LeufsTer7), with a cumulative allele frequency of 2.2%. We confirm these alleles in vitro as loss-of-function. We test if GPR151 plof is associated with BMI, T2D, or other metabolic traits and find that GPR151 deficiency in complete human knockouts is not associated with clinically significant differences in these traits. Relative to Gpr151+/+ mice, Gpr151-/- animals exhibit no difference in body weight on normal chow and higher body weight on a high-fat diet. Together, our findings indicate that GPR151 antagonism is not a compelling therapeutic approach to treatment of obesity.
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Affiliation(s)
- Allan Gurtan
- Novartis Institutes for BioMedical Research, Cambridge, Massachusetts, United States of America
| | - John Dominy
- Novartis Institutes for BioMedical Research, Cambridge, Massachusetts, United States of America
| | - Shareef Khalid
- Center for Non-Communicable Diseases, Karachi, Sindh, Pakistan
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, United States of America
- Department of Cardiology, Columbia University Irving Medical Center, New York, New York, United States of America
| | - Linh Vong
- Novartis Institutes for BioMedical Research, Cambridge, Massachusetts, United States of America
| | - Shari Caplan
- Novartis Institutes for BioMedical Research, Cambridge, Massachusetts, United States of America
| | - Treeve Currie
- Novartis Institutes for BioMedical Research, Cambridge, Massachusetts, United States of America
| | - Sean Richards
- Novartis Institutes for BioMedical Research, Cambridge, Massachusetts, United States of America
| | - Lindsey Lamarche
- Novartis Institutes for BioMedical Research, Cambridge, Massachusetts, United States of America
| | - Daniel Denning
- Novartis Institutes for BioMedical Research, Cambridge, Massachusetts, United States of America
| | - Diana Shpektor
- Novartis Institutes for BioMedical Research, Cambridge, Massachusetts, United States of America
| | - Anastasia Gurinovich
- Novartis Institutes for BioMedical Research, Cambridge, Massachusetts, United States of America
- Tufts Medical Center, Boston, Massachusetts, United States of America
| | - Asif Rasheed
- Center for Non-Communicable Diseases, Karachi, Sindh, Pakistan
- TopMed Hospital, Karachi, Sindh, Pakistan
| | | | - Subhan Saeed
- Center for Non-Communicable Diseases, Karachi, Sindh, Pakistan
| | - Imran Saleem
- Punjab Institute of Cardiology, Lahore, Pakistan
| | - Anjum Jalal
- Faisalabad Institute of Cardiology, Faisalabad, Pakistan
| | - Shahid Abbas
- Faisalabad Institute of Cardiology, Faisalabad, Pakistan
| | | | | | | | - Nabi Shah
- Department of Pharmacy, COMSATS University Islamabad, Islamabad, Pakistan
| | | | - Amit V. Khera
- Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - John Danesh
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, Cambridge University & Health Data Research UK, Wellcome Sanger Institute, Cambridge, United Kingdom
| | | | - Danish Saleheen
- Center for Non-Communicable Diseases, Karachi, Sindh, Pakistan
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, United States of America
- Department of Cardiology, Columbia University Irving Medical Center, New York, New York, United States of America
- * E-mail:
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13
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Song Z, Gurinovich A, Christensen K, Nygaard M, Mengel-From J, Andersen S, Perls T, Sebastiani P. Genetic Variants Correlate With Better Processing Speed. Innov Aging 2021. [PMCID: PMC8682555 DOI: 10.1093/geroni/igab046.623] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Some cognitive abilities, such as vocabulary, are resilient to brain aging, while others such as conceptual reasoning, memory, and processing speed, decline with age and their rate of decline is genetically regulated. Despite the strong genetic heritability of processing speed assessed by the digit symbol substitution test (DSST), previous studies have failed to identify robust common genetic variants associated with this test. The Long Life Family Study (LLFS) includes long lived individuals and their family members who maintain good DSST scores as they age and who may carry variants associated with better DSST. We therefore conducted a genome-wide association study (GWAS) of DSST in LLFS using ~15M genetic variants imputed to the HRC panel of 64,940 haplotypes with 39,635,008 sites and replicated the findings using genetic data imputed to the 1000 Genomes phase 3 reference panel combining two Danish cohorts: the Middle Aged Danish Twins and the Longitudinal Study of Aging Danish Twins. The GWAS in LLFS discovered 20 rare genetic variants reaching genome-wide significance (p-value < 5x10-8), including 18 variants associated with better processing speed with large effect size. The genetic associations of rs7623455, rs9821776, rs9821587, rs78704059 in chromosome 3 were replicated in the combined Danish cohort. These genetic variants tagged two hormone receptor related genes, THRB and RARB, both related to cognitive aging. Further gene-based tests in LLFS confirmed that these two genes have protective variants associated with better processing speed.
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Affiliation(s)
- Zeyuan Song
- Boston University School of Public Health, Boston, Massachusetts, United States
| | | | - Kaare Christensen
- Department of Public Health, University of Southern Denmark, Odense, Syddanmark, Denmark
| | - Marianne Nygaard
- Department of Public Health, University of Southern Denmark, Odense, Syddanmark, Denmark
| | - Jonas Mengel-From
- Department of Public Health, University of Southern Denmark, Odense, Syddanmark, Denmark
| | - Stacy Andersen
- Boston University School of Medicine, Boston, Massachusetts, United States
| | - Thomas Perls
- Boston University, Boston, Massachusetts, United States
| | - Paola Sebastiani
- Tufts Medical Center, Physician Organization, BOSTON, Massachusetts, United States
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14
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Sweigart B, Andersen SL, Gurinovich A, Cosentino S, Schupf N, Perls TT, Sebastiani P. APOE E2/E2 Is Associated with Slower Rate of Cognitive Decline with Age. J Alzheimers Dis 2021; 83:853-860. [PMID: 34366332 DOI: 10.3233/jad-201205] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
BACKGROUND The E4 allele of the APOE gene is known to be associated with cognitive impairment. However, a limited number of studies have examined the association between the E2 allele and longitudinal changes of cognitive function. OBJECTIVE To determine whether rates of cognitive change differ in carriers of the APOE E2 allele compared to other genotypes. METHODS We conducted a secondary analysis of data from two ongoing longitudinal cohort studies, the Long Life Family Study (LLFS) and New England Centenarian Study (NECS). We included participants who had APOE genotyping data, data from longitudinal administrations of the Telephone Interview for Cognitive Status (TICS), and age, sex, and education available. We assessed whether cognitive change as measured by rate of decline in TICS score differed among people with different APOE genotypes. We used a hierarchical mixed effect model with APOE genotypes, their interactions with age, and potential confounders. RESULTS After adjusting for sex and education, in carriers of the common E3/E3 genotype, TICS score decreased by 0.15 points per year of age. In those with the E2/E2 genotype, TICS score decreased by 0.05 points per year of age, a significantly slower rate of decline (p = 0.017). We observed no protective effect of the E2/E3 genotype on cognitive decline. CONCLUSION These results suggest a protective effect of the E2/E2 genotype on a measure of global cognitive function.
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Affiliation(s)
- Benjamin Sweigart
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Stacy L Andersen
- Geriatrics Section, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Anastasia Gurinovich
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA
| | - Stephanie Cosentino
- Cognitive Neuroscience Division of the Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, USA.,Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA
| | - Nicole Schupf
- Cognitive Neuroscience Division of the Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, USA.,Gertrude H. Sergievsky Center, Columbia University, New York, NY, USA
| | - Thomas T Perls
- Geriatrics Section, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Paola Sebastiani
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA
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15
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Gurinovich A, Song Z, Zhang W, Federico A, Monti S, Andersen SL, Jennings LL, Glass DJ, Barzilai N, Millman S, Perls TT, Sebastiani P. Correction to: Effect of longevity genetic variants on the molecular aging rate. GeroScience 2021; 43:2101. [PMID: 34143375 DOI: 10.1007/s11357-021-00400-7] [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: 11/30/2022] Open
Affiliation(s)
- Anastasia Gurinovich
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Zeyuan Song
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - William Zhang
- Institute for Aging Research, Albert Einstein College of Medicine, Bronx, NY, USA
| | | | - Stefano Monti
- Bioinformatics Program, Boston University, Boston, MA, USA.,Division of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Stacy L Andersen
- Department of Medicine, Geriatrics Section, Boston University School of Medicine, Boston, MA, USA
| | - Lori L Jennings
- Novartis Institutes for Biomedical Research, 22 Windsor Street, Cambridge, MA, 02139, USA
| | - David J Glass
- Regeneron Pharmaceuticals, 777 Old Saw Mill River Rd, Tarrytown, NY, 10591, USA
| | - Nir Barzilai
- Institute for Aging Research, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Sofiya Millman
- Institute for Aging Research, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Thomas T Perls
- Department of Medicine, Geriatrics Section, Boston University School of Medicine, Boston, MA, USA
| | - Paola Sebastiani
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA.
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16
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Sebastiani P, Federico A, Morris M, Gurinovich A, Tanaka T, Chandler KB, Andersen SL, Denis G, Costello CE, Ferrucci L, Jennings L, Glass DJ, Monti S, Perls TT. Protein signatures of centenarians and their offspring suggest centenarians age slower than other humans. Aging Cell 2021; 20:e13290. [PMID: 33512769 PMCID: PMC7884029 DOI: 10.1111/acel.13290] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [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: 05/27/2020] [Revised: 10/23/2020] [Accepted: 11/14/2020] [Indexed: 12/18/2022] Open
Abstract
Using samples from the New England Centenarian Study (NECS), we sought to characterize the serum proteome of 77 centenarians, 82 centenarians' offspring, and 65 age-matched controls of the offspring (mean ages: 105, 80, and 79 years). We identified 1312 proteins that significantly differ between centenarians and their offspring and controls (FDR < 1%), and two different protein signatures that predict longer survival in centenarians and in younger people. By comparing the centenarian signature with 2 independent proteomic studies of aging, we replicated the association of 484 proteins of aging and we identified two serum protein signatures that are specific of extreme old age. The data suggest that centenarians acquire similar aging signatures as seen in younger cohorts that have short survival periods, suggesting that they do not escape normal aging markers, but rather acquire them much later than usual. For example, centenarian signatures are significantly enriched for senescence-associated secretory phenotypes, consistent with those seen with younger aged individuals, and from this finding, we provide a new list of serum proteins that can be used to measure cellular senescence. Protein co-expression network analysis suggests that a small number of biological drivers may regulate aging and extreme longevity, and that changes in gene regulation may be important to reach extreme old age. This centenarian study thus provides additional signatures that can be used to measure aging and provides specific circulating biomarkers of healthy aging and longevity, suggesting potential mechanisms that could help prolong health and support longevity.
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Affiliation(s)
- Paola Sebastiani
- Institute for Clinical Research and Health Policy StudiesTufts Medical CenterBostonMAUSA
| | - Anthony Federico
- Bioinformatics ProgramBoston UniversityBostonMAUSA
- Division of Computational BiomedicineDepartment of MedicineBoston University School of MedicineBostonMAUSA
| | - Melody Morris
- Novartis Institutes for Biomedical ResearchCambridgeMAUSA
| | | | - Toshiko Tanaka
- Translational Gerontology BranchNational Institute on AgingBaltimoreMDUSA
| | - Kevin B. Chandler
- Translational Glycobiology InstituteDepartment of Translational MedicineFlorida International UniversityHerbert Wertheim College of MedicineMiamiFLUSA
| | - Stacy L. Andersen
- Geriatric SectionDepartment of MedicineBoston University School of Medicine and Boston Medical CenterBostonMAUSA
| | - Gerald Denis
- Department of MedicineBU‐BMC Cancer CenterBoston University School of MedicineBostonMAUSA
| | - Catherine E. Costello
- Department of BiochemistryCenter for Biomedical Mass SpectrometryBoston University School of MedicineBostonMAUSA
| | - Luigi Ferrucci
- Translational Gerontology BranchNational Institute on AgingBaltimoreMDUSA
| | - Lori Jennings
- Novartis Institutes for Biomedical ResearchCambridgeMAUSA
| | - David J. Glass
- Novartis Institutes for Biomedical ResearchCambridgeMAUSA
- Regeneron PharmaceuticalsTarrytownNYUSA
| | - Stefano Monti
- Bioinformatics ProgramBoston UniversityBostonMAUSA
- Division of Computational BiomedicineDepartment of MedicineBoston University School of MedicineBostonMAUSA
| | - Thomas T. Perls
- Geriatric SectionDepartment of MedicineBoston University School of Medicine and Boston Medical CenterBostonMAUSA
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17
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Song Z, Gurinovich A, Federico A, Monti S, Sebastiani P. nf-gwas-pipeline: A Nextflow Genome-Wide Association Study Pipeline. J Open Source Softw 2021; 6:2957. [PMID: 35647481 PMCID: PMC9137404 DOI: 10.21105/joss.02957] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
A tool for conducting Genome-Wide Association Study (GWAS) in a systematic, automated and reproducible manner is overdue. We developed an automated GWAS pipeline by combining multiple analysis tools - including bcftools, vcftools, the R packages SNPRelate/GENESIS/GMMAT and ANNOVAR - through Nextflow, which is a portable, flexible, and reproducible reactive workflow framework for developing pipelines. The GWAS pipeline integrates the steps of data quality control and assessment and genetic association analyses, including analysis of cross-sectional and longitudinal studies with either single variants or gene-based tests, into a unified analysis workflow. The pipeline is implemented in Nextflow, dependencies are distributed through Docker, and the code is publicly available on Github.
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Affiliation(s)
- Zeyuan Song
- Department of Biostatistics, Boston University School of Public Health, 801 Massachusetts Avenue 3rd Floor, Boston, MA 02218, USA
| | - Anastasia Gurinovich
- Department of Biostatistics, Boston University School of Public Health, 801 Massachusetts Avenue 3rd Floor, Boston, MA 02218, USA
| | - Anthony Federico
- Section of Computational Biomedicine, Boston University School of Medicine, 72 East Concord St., Boston, MA 02218, USA
- Bioinformatics Program, Boston University, 24 Cummington Mall, Boston, MA 02215, USA
| | - Stefano Monti
- Section of Computational Biomedicine, Boston University School of Medicine, 72 East Concord St., Boston, MA 02218, USA
- Bioinformatics Program, Boston University, 24 Cummington Mall, Boston, MA 02215, USA
| | - Paola Sebastiani
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington Street, Boston, MA 02111, USA
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18
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Sebastiani P, Gurinovich A, Song Z, Zhang W, Monti S, Millman S, Barzilai N, Perls T. Effect of Longevity Genetic Variants on the Molecular Aging Rate. Innov Aging 2020. [PMCID: PMC7742392 DOI: 10.1093/geroni/igaa057.3130] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
We conducted a genome-wide association study of 1317 centenarians from the New England Centenarian Study and 2885 controls using >9M genetic variants. The most significantly associated variants were correlated to 4131 serum proteins in 224 study participants. The genetic and protein associations were replicated in a genome-wide association study of 480 centenarians and ~800 controls of Ashkenazy Jewish descent and a proteomic scan of approximately 1000 participants of the same study. The analysis replicated a protein signature associated with APOE genotypes and confirmed strong overexpression of BIRC2 (p < 5E-16) and underexpression of APOB in carriers of the APOE2 allele (p< 0.05). The analysis also discovered and replicated associations between longevity variants and slower changes of protein biomarkers of aging, including a novel protein signature of rs2184061 (CDKN2a/CDKN2B in chromosome 9). The analyses show that longevity variants correlate with proteome signatures that could be manipulated to discover healthy aging targets.
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Affiliation(s)
| | | | - Zeyuan Song
- Boston University, Boston, Massachusetts, United States
| | - William Zhang
- Albert Einstein College of Medicine, Bronx, New York, United States
| | - Stefano Monti
- Boston University, Boston, Massachusetts, United States
| | - Sofiya Millman
- Albert Einstein College of Medicine, Bronx, New York, United States
| | - Nir Barzilai
- Albert Einstein College of Medicine, Bronx, New York, United States
| | - Thomas Perls
- Boston University School of Medicine, Boston, Massachusetts, United States
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Gurinovich A, Andersen SL, Puca A, Atzmon G, Barzilai N, Sebastiani P. Varying Effects of APOE Alleles on Extreme Longevity in European Ethnicities. J Gerontol A Biol Sci Med Sci 2020; 74:S45-S51. [PMID: 31724059 DOI: 10.1093/gerona/glz179] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [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: 03/08/2019] [Indexed: 12/19/2022] Open
Abstract
APOE is a well-studied gene with multiple effects on aging and longevity. The gene has three alleles: e2, e3, and e4, whose frequencies vary by ethnicity. While the e2 is associated with healthy cognitive aging, the e4 allele is associated with Alzheimer's disease and early mortality and therefore its prevalence among people with extreme longevity (EL) is low. Using the PopCluster algorithm, we identified several ethnically different clusters in which the effect of the e2 and e4 alleles on EL changed substantially. For example, PopCluster discovered a large group of 1,309 subjects enriched of Southern Italian genetic ancestry with weaker protective effect of e2 (odds ratio [OR] = 1.27, p = .14) and weaker damaging effect of e4 (OR = 0.82, p = .31) on the phenotype of EL compared to other European ethnicities. Further analysis of this cluster suggests that the odds for EL in carriers of the e4 allele with Southern Italian genetic ancestry differ depending on whether they live in the United States (OR = 0.29, p = .009) or Italy (OR = 1.21, p = .38). PopCluster also found clusters enriched of subjects with Danish ancestry with varying effect of e2 on EL. The country of residence (Denmark or United States) appears to change the odds for EL in the e2 carriers.
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Affiliation(s)
- Anastasia Gurinovich
- Bioinformatics Program, Boston University, Massachusetts.,Department of Biostatistics, Boston University School of Public Health, Massachusetts
| | | | - Annibale Puca
- Department of Medicine and Surgery, University of Salerno, Fisciano, SA, Italy.,Cardiovascular Research Unit, IRCCS MultiMedica, Sesto San Giovanni, MI, Italy
| | - Gil Atzmon
- Faculty of Natural Science, University of Haifa, Israel.,Albert Einstein College of Medicine, Bronx, New York
| | - Nir Barzilai
- Albert Einstein College of Medicine, Bronx, New York
| | - Paola Sebastiani
- Department of Biostatistics, Boston University School of Public Health, Massachusetts
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Sebastiani P, Monti S, Morris M, Gurinovich A, Toshiko T, Andersen SL, Sweigart B, Ferrucci L, Jennings LL, Glass DJ, Perls TT. A serum protein signature of APOE genotypes in centenarians. Aging Cell 2019; 18:e13023. [PMID: 31385390 PMCID: PMC6826130 DOI: 10.1111/acel.13023] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [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: 02/14/2019] [Revised: 04/07/2019] [Accepted: 07/07/2019] [Indexed: 12/30/2022] Open
Abstract
The discovery of treatments to prevent or delay dementia and Alzheimer's disease is a priority. The gene APOE is associated with cognitive change and late-onset Alzheimer's disease, and epidemiological studies have provided strong evidence that the e2 allele of APOE has a neuroprotective effect, it is associated with increased longevity and an extended healthy lifespan in centenarians. In this study, we correlated APOE genotype data of 222 participants of the New England Centenarian Study, including 75 centenarians, 82 centenarian offspring, and 65 controls, comprising 55 carriers of APOE e2 , with aptamer-based serum proteomics (SomaLogic technology) of 4,785 human proteins corresponding to 4,137 genes. We discovered a signature of 16 proteins that associated with different APOE genotypes and replicated the signature in three independent studies. We also show that the protein signature tracks with gene expression profiles in brains of late-onset Alzheimer's disease versus healthy controls. Finally, we show that seven of these proteins correlate with cognitive function patterns in longitudinally collected data. This analysis in particular suggests that Baculoviral IAP repeat containing two (BIRC2) is a novel biomarker of neuroprotection that associates with the neuroprotective allele of APOE. Therefore, targeting APOE e2 molecularly may preserve cognitive function.
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Affiliation(s)
- Paola Sebastiani
- Department of BiostatisticsBoston University School of Public HealthBostonMassachusetts
| | - Stefano Monti
- Bioinformatics ProgramBoston UniversityBostonMassachusetts
- Division of Computational Biomedicine, Department of MedicineBoston University School of MedicineBostonMassachusetts
| | - Melody Morris
- Novartis Institutes for Biomedical ResearchCambridgeMassachusetts
| | - Anastasia Gurinovich
- Department of BiostatisticsBoston University School of Public HealthBostonMassachusetts
- Bioinformatics ProgramBoston UniversityBostonMassachusetts
| | - Tanaka Toshiko
- Translational Gerontology BranchNational Institute on AgingBaltimoreMaryland
| | - Stacy L. Andersen
- Geriatrics Section, Department of Medicine, School of Medicine and Boston Medical CenterBoston UniversityBostonMA
| | - Benjamin Sweigart
- Department of BiostatisticsBoston University School of Public HealthBostonMassachusetts
| | - Luigi Ferrucci
- Translational Gerontology BranchNational Institute on AgingBaltimoreMaryland
| | - Lori L. Jennings
- Novartis Institutes for Biomedical ResearchCambridgeMassachusetts
| | - David J. Glass
- Novartis Institutes for Biomedical ResearchCambridgeMassachusetts
| | - Thomas T. Perls
- Geriatrics Section, Department of Medicine, School of Medicine and Boston Medical CenterBoston UniversityBostonMA
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Gurinovich A, Gurinovich A, Song Z, Andersen SL, Perls TT, Sebastiani P. GENOME-WIDE ASSOCIATION STUDY OF EXTREME HUMAN LONGEVITY DISCOVERS UNCOMMON LONGEVITY VARIANTS. Innov Aging 2019. [PMCID: PMC6844684 DOI: 10.1093/geroni/igz038.759] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
The strong heritability of extreme human longevity supports the hypothesis that this is a genetically-regulated trait. However, association studies focused on common genetic variants have discovered a limited number of longevity-associated genes. We conducted a genome-wide association study of 4,216 individuals including 1317 centenarians from the New England Centenarian Study (median age = 104 years) using >9M genetic variants imputed to the HRC panel of ~65,000 haplotypes. The set included approximately 5M uncommon variants. The associations were tested using a mixed effect logistic regression model with genotype-based kinship covariance of the random effects to adjust for cryptic relations using the package GENESIS. The analysis discovered 45 genome-wide significant SNPs (p< 5E-08) including 8 new loci in chromosomes 3, 6, 7, 9, 10, 14 and 15 in addition to the APOE locus. The list includes new pQTLs in serum that suggest a new biological mechanism involved in extreme human longevity.
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Affiliation(s)
| | | | - Zeyuan Song
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States
| | - Stacy L Andersen
- Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, United States
| | - Thomas T Perls
- Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, United States
| | - Paola Sebastiani
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States
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Bhutkar A, Gurinovich A, Perls TT, Sebastiani P, Monti S. CLONAL HEMATOPOIESIS IN A CENTENARIAN COHORT. Innov Aging 2019. [PMCID: PMC6846495 DOI: 10.1093/geroni/igz038.394] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Mosaicism, the presence of two or more genotypically or karyotypically distinct populations of cells in a single individual, plays an important role in human disease. Mosaicism can result in mutations and/or chromosomal alterations such as loss, gain, or copy-number neutral loss of heterozygosity. Clonal mosaicism and its relationship to aging and cancer, has been previously studied, and earlier work suggests that clonal mosaicism tends to increase with age. The aim of our research is to use genotype data of centenarians to explore the relationship between extreme longevity and mosaic chromosomal alterations (mCAs). To this end, we analyzed genome-wide genotypes from blood-derived DNA of 338 individuals from the New England Centenarian Study. The participants in this dataset ranged from 45 to 112 years of age. For the detection of mCA events, we used MoChA (https://github.com/freeseek/mocha), a bcftools extension, that predicts mCAs based on B-allele frequency (BAF) and log2 intensity(R) ratio (LRR), and uses long-range phase information to increase sensitivity. Chromosomal alteration events, including whole chromosome events, were detected in 180 out of the 338 individuals. A total of 165 duplications, 97 deletions, and 9 copy-number neutral loss of heterozygosity were detected. Additionally, there were 42 events whose copy number state could not be determined with high confidence. 236 events out of the 313 were detected in individuals aged 100 and older. Our analysis of chromosomal alteration frequency by age indicates that, within centenarians, the proportion of individuals with mCAs significantly decreases with increased age (p < 0.05, correlation -0.73).
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Affiliation(s)
| | | | - Thomas T Perls
- Boston University School of Medicine, Boston, Massachusetts, United States
| | - Paola Sebastiani
- Boston University, Department of Biostatistics, Boston, Massachusetts, United States
| | - Stefano Monti
- Boston University, Boston, Massachusetts, United States
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23
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Monti S, Monti S, Sebastiani P, Gurinovich A, Tanaka T, Jennings LL, Glass DJ, Perls TT. A SERUM PROTEIN SIGNATURE OF APOE GENOTYPES IN CENTENARIANS. Innov Aging 2019. [PMCID: PMC6841567 DOI: 10.1093/geroni/igz038.2316] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
The discovery of treatments to prevent or delay Alzheimer’s disease is a priority. The gene APOE is associated with cognitive change and late onset Alzheimer’s disease, and epidemiological studies have shown that the e_2 allele of APOE has a neuroprotective effect, and it is associated with increased longevity. We correlated APOE genotype data of 222 New England Centenarian Study participants, including 79 centenarians, 84 centenarian offspring and 55 carriers of APOE e_2, with aptamer-based serum proteomics (SomaLogic technology) of 4783 human proteins corresponding to 4137 genes. We discovered a signature of 16 proteins that associated with different APOE genotypes, and replicated the signature in 3 independent studies. We show that the protein signature tracks with gene expression profiles in brains of late onset Alzheimer’s disease vs. healthy controls. Finally, we show that seven of these proteins correlate with cognitive function changes. Therefore, targeting APOE e_2 molecularly may preserve cognitive function.
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Affiliation(s)
- Stefano Monti
- Boston University, Boston, Massachusetts, United States
| | - Stefano Monti
- Division Of Computational Biomedicine, Boston University School of Medicine, Boston, Massachusetts, United States
| | - Paola Sebastiani
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States
| | | | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, Baltimore, Maryland, United States
| | - Lori L Jennings
- Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, United States
| | - David J Glass
- Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, United States
| | - Thomas T Perls
- Geriatrics Section, Department of Medicine, Boston University School of Medicine and Boston Medical Center, Boston, Massachusetts, United States
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Gurinovich A, Bae H, Farrell JJ, Andersen SL, Monti S, Puca A, Atzmon G, Barzilai N, Perls TT, Sebastiani P. PopCluster: an algorithm to identify genetic variants with ethnicity-dependent effects. Bioinformatics 2019; 35:3046-3054. [PMID: 30624692 DOI: 10.1093/bioinformatics/btz017] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Revised: 11/01/2018] [Accepted: 01/04/2019] [Indexed: 12/13/2022] Open
Abstract
MOTIVATION Over the last decade, more diverse populations have been included in genome-wide association studies. If a genetic variant has a varying effect on a phenotype in different populations, genome-wide association studies applied to a dataset as a whole may not pinpoint such differences. It is especially important to be able to identify population-specific effects of genetic variants in studies that would eventually lead to development of diagnostic tests or drug discovery. RESULTS In this paper, we propose PopCluster: an algorithm to automatically discover subsets of individuals in which the genetic effects of a variant are statistically different. PopCluster provides a simple framework to directly analyze genotype data without prior knowledge of subjects' ethnicities. PopCluster combines logistic regression modeling, principal component analysis, hierarchical clustering and a recursive bottom-up tree parsing procedure. The evaluation of PopCluster suggests that the algorithm has a stable low false positive rate (∼4%) and high true positive rate (>80%) in simulations with large differences in allele frequencies between cases and controls. Application of PopCluster to data from genetic studies of longevity discovers ethnicity-dependent heterogeneity in the association of rs3764814 (USP42) with the phenotype. AVAILABILITY AND IMPLEMENTATION PopCluster was implemented using the R programming language, PLINK and Eigensoft software, and can be found at the following GitHub repository: https://github.com/gurinovich/PopCluster with instructions on its installation and usage. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
| | - Harold Bae
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
| | - John J Farrell
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Stacy L Andersen
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Stefano Monti
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Annibale Puca
- Department of Medicine and Surgery, University of Salerno, Fisciano, Italy.,Cardiovascular Research Unit, IRCCS MultiMedica, Sesto San Giovanni, Italy
| | - Gil Atzmon
- Department of Medicine and Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Nir Barzilai
- Department of Medicine and Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Thomas T Perls
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Paola Sebastiani
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
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Sebastiani P, Gurinovich A, Nygaard M, Sasaki T, Sweigart B, Bae H, Andersen SL, Villa F, Atzmon G, Christensen K, Arai Y, Barzilai N, Puca A, Christiansen L, Hirose N, Perls TT. APOE Alleles and Extreme Human Longevity. J Gerontol A Biol Sci Med Sci 2019; 74:44-51. [PMID: 30060062 PMCID: PMC6298189 DOI: 10.1093/gerona/gly174] [Citation(s) in RCA: 72] [Impact Index Per Article: 14.4] [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: 03/12/2018] [Indexed: 12/11/2022] Open
Abstract
We assembled a collection of 28,297 participants from seven studies of longevity and healthy aging comprising New England Centenarian, Long Life Family, Longevity Gene Population, Southern Italian Centenarian, Japanese Centenarian, the Danish Longevity, and the Health and Retirement Studies to investigate the association between the APOE alleles ε2ε3 and ε4 and extreme human longevity and age at death. By using three different genetic models and two definitions of extreme longevity based on either a threshold model or age at death, we show that ε4 is associated with a substantially decreased odds for extreme longevity, and increased risk for death that persists even beyond ages reached by less than 1% of the population. We also show that carrying the ε2ε2 or ε2ε3 genotype is associated with significantly increased odds to reach extreme longevity, with decreased risk for death compared with carrying the genotype ε3ε3 but with only a modest reduction in risk for death beyond an age reached by less than 1% of the population.
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Affiliation(s)
- Paola Sebastiani
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Anastasia Gurinovich
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
- Bioinformatics Program, Boston University, Massachusetts
| | - Marianne Nygaard
- The Danish Aging Research Center and The Danish Twin Registry, Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Takashi Sasaki
- Center for Supercentenarian Research, Keio University, Tokyo, Japan
| | - Benjamin Sweigart
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Harold Bae
- College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon
| | - Stacy L Andersen
- Geriatric Section, Department of Medicine, Boston University School of Medicine and Boston Medical Center, Boston, Massachusetts
| | - Francesco Villa
- Cardiovascular Research Unit, IRCCS MultiMedica, Milan, Italy
| | - Gil Atzmon
- Faculty of Natural Science, University of Haifa, Israel
- Department of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, New York
| | - Kaare Christensen
- The Danish Aging Research Center and The Danish Twin Registry, Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Yasumichi Arai
- Center for Supercentenarian Research, Keio University, Tokyo, Japan
| | - Nir Barzilai
- Department of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, New York
| | - Annibale Puca
- Cardiovascular Research Unit, IRCCS MultiMedica, Milan, Italy
- Department of Medicine and Surgery, University of Salerno, Baronissi, Italy
| | - Lene Christiansen
- The Danish Aging Research Center and The Danish Twin Registry, Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Nobuyoshi Hirose
- Center for Supercentenarian Research, Keio University, Tokyo, Japan
| | - Thomas T Perls
- Geriatric Section, Department of Medicine, Boston University School of Medicine and Boston Medical Center, Boston, Massachusetts
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Gurinovich A, Bae H, Andersen S, Puca A, Atzmon G, Barzilai N, Perls T, Sebastiani P. ETHNIC-SPECIFIC EFFECT OF APOE ALLELES ON EXTREME LONGEVITY. Innov Aging 2018. [DOI: 10.1093/geroni/igy023.373] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
| | | | - S Andersen
- Section of Geriatrics, Department of Medicine, Boston University, Boston, MA, USA
| | - A Puca
- Department of Medicine and Surgery, University of Salerno
| | - G Atzmon
- Department of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, NY
| | - N Barzilai
- Professor of Medicine and Genetics, Director of The Institute for Aging Research; The Glenn Center for the Biology of Human Aging; Albert Einstein College of Medicine, New York, USA
| | - T Perls
- Section of Geriatrics, Department of Medicine, Boston University, Boston, MA, USA
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Bae H, Gurinovich A, Sweigart B, Lunetta K, Murabito J, Andersen S, Perls T, Sebastiani P. GENETIC INFLUENCE ON AGE OF MENOPAUSE IN THE LONG LIFE FAMILY STUDY AND HEALTH AND RETIREMENT STUDY. Innov Aging 2018. [DOI: 10.1093/geroni/igy023.375] [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: 11/13/2022] Open
Affiliation(s)
| | | | | | - K Lunetta
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA
| | - J Murabito
- Sections of General Internal Medicine, Preventive Medicine, Cardiology and Neurology, Department of Medicine, School of Medicine, Boston University, Boston, MA
| | - S Andersen
- Section of Geriatrics, Department of Medicine, Boston University, Boston, MA, USA
| | - T Perls
- Section of Geriatrics, Department of Medicine, Boston University, Boston, MA, USA
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28
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Sebastiani P, Monti S, Morris M, Gurinovich A, Glass D, Jennings L, Perls TT. PROTEIN SIGNATURES OF EXTREME OLD AGE AND LONGEVITY. Innov Aging 2018. [DOI: 10.1093/geroni/igy023.234] [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: 11/13/2022] Open
Affiliation(s)
- P Sebastiani
- Boston University, Boston, Massachusetts, United States
| | - S Monti
- Boston University, Boston MA, USA
| | - M Morris
- Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA
| | | | - D Glass
- Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA
| | - L Jennings
- Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA
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29
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Bae H, Gurinovich A, Malovini A, Atzmon G, Andersen SL, Villa F, Barzilai N, Puca A, Perls TT, Sebastiani P. Effects of FOXO3 Polymorphisms on Survival to Extreme Longevity in Four Centenarian Studies. J Gerontol A Biol Sci Med Sci 2018; 73:1439-1447. [PMID: 28977569 PMCID: PMC6175020 DOI: 10.1093/gerona/glx124] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [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: 10/07/2016] [Indexed: 02/04/2023] Open
Abstract
Previous studies note specific FOXO3 single-nucleotide polymorphisms (SNPs) associated with human longevity. However, it is not clear if these SNPs influence mortality risk beyond the oldest 1 percentile of survival. Using data from four longevity studies (total n = 8,266, age range 96-119 years for cases), we tested gene-wide association between 107 SNPs and survival to at least the oldest 1 percentile of survival for the 1900 birth cohort (≥96, white males; ≥100 white females). This analysis replicated 17 previously published variants, several of which are significant expression quantitative trait loci of FOXO3; rs6911407 and rs2253310 have the most significant effect on FOXO3 expressions in brain tissue. We then performed a survival analysis to determine if any of these 107 SNPs impact upon mortality risk beyond the oldest 1 percentile. While none of the 17 published variants was significantly associated with mortality risk beyond this extreme age, an uncommon homozygote genotype of rs9384680 exhibited the strongest association with mortality risk (p = 2.68E-04) in only 11 females, a heretofore unreported association. These analyses replicate the previous association of common variants of FOXO3 with older age but these common variants do not modify risk for mortality at ages beyond the oldest 1 percentile age of survival.
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Affiliation(s)
- Harold Bae
- College of Public Health and Human Sciences, Oregon State University, Corvallis,Address correspondence to: Harold Bae, College of Public Health and Human Sciences, Oregon State University, 151 Milam Hall, Corvallis, OR 97331. E-mail:
| | | | - Alberto Malovini
- Laboratory of Informatics and Systems Engineering for Clinical Research, IRCCS Fondazione Salvatore Maugeri, Pavia Pavia, Italy
| | - Gil Atzmon
- Departments of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, New York,Faculty of Natural Science, University of Haifa, Israel
| | - Stacy L Andersen
- Geriatrics Section, Department of Medicine, Boston University School of Medicine & Boston Medical Center, Massachusetts
| | - Francesco Villa
- IRCCS Multimedica, Laboratory of Cardiovascular Research, Milan, Italy
| | - Nir Barzilai
- Departments of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, New York
| | - Annibale Puca
- IRCCS MultiMedica, Milan, Italy and Department of Medicine and Surgery, University of Salerno, Baronissi, Italy
| | - Thomas T Perls
- Geriatrics Section, Department of Medicine, Boston University School of Medicine & Boston Medical Center, Massachusetts
| | - Paola Sebastiani
- Department of Biostatistics, Boston University School of Public Health, Massachusetts
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30
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Zeng Y, Nie C, Min J, Chen H, Liu X, Ye R, Chen Z, Bai C, Xie E, Yin Z, Lv Y, Lu J, Li J, Ni T, Bolund L, Land KC, Yashin A, O’Rand AM, Sun L, Yang Z, Tao W, Gurinovich A, Franceschi C, Xie J, Gu J, Hou Y, Liu X, Xu X, Robine JM, Deelen J, Sebastiani P, Slagboom E, Perls T, Hauser E, Gottschalk W, Tan Q, Christensen K, Shi X, Lutz M, Tian XL, Yang H, Vaupel J. Sex Differences in Genetic Associations With Longevity. JAMA Netw Open 2018; 1:e181670. [PMID: 30294719 PMCID: PMC6173523 DOI: 10.1001/jamanetworkopen.2018.1670] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2018] [Accepted: 05/15/2018] [Indexed: 01/09/2023] Open
Abstract
IMPORTANCE Sex differences in genetic associations with human longevity remain largely unknown; investigations on this topic are important for individualized health care. OBJECTIVE To explore sex differences in genetic associations with longevity. DESIGN SETTING AND PARTICIPANTS This population-based case-control study used sex-specific genome-wide association study and polygenic risk score (PRS) analyses to examine sex differences in genetic associations with longevity. Five hundred sixty-four male and 1614 female participants older than 100 years were compared with a control group of 773 male and 1526 female individuals aged 40 to 64 years. All were Chinese Longitudinal Healthy Longevity Study participants with Han ethnicity who were recruited in 1998 and 2008 to 2014. MAIN OUTCOMES AND MEASURES Sex-specific loci and pathways associated with longevity and PRS measures of joint effects of sex-specific loci. RESULTS Eleven male-specific and 11 female-specific longevity loci (P < 10-5) and 35 male-specific and 25 female-specific longevity loci (10-5 ≤ P < 10-4) were identified. Each of these loci's associations with longevity were replicated in north and south regions of China in one sex but were not significant in the other sex (P = .13-.97), and loci-sex interaction effects were significant (P < .05). The associations of loci rs60210535 of the LINC00871 gene with longevity were replicated in Chinese women (P = 9.0 × 10-5) and US women (P = 4.6 × 10-5) but not significant in Chinese and US men. The associations of the loci rs2622624 of the ABCG2 gene were replicated in Chinese women (P = 6.8 × 10-5) and European women (P = .003) but not significant in both Chinese and European men. Eleven male-specific pathways (inflammation and immunity genes) and 34 female-specific pathways (tryptophan metabolism and PGC-1α induced) were significantly associated with longevity (P < .005; false discovery rate < 0.05). The PRS analyses demonstrated that sex-specific associations with longevity of the 4 exclusive groups of 11 male-specific and 11 female-specific loci (P < 10-5) and 35 male-specific and 25 female-specific loci (10-5 ≤P < 10-4) were jointly replicated across north and south discovery and target samples. Analyses using the combined data set of north and south showed that these 4 groups of sex-specific loci were jointly and significantly associated with longevity in one sex (P = 2.9 × 10-70 to 1.3 × 10-39) but not jointly significant in the other sex (P = .11 to .70), while interaction effects between PRS and sex were significant (P = 4.8 × 10-50 to 1.2 × 10-16). CONCLUSION AND RELEVANCE The sex differences in genetic associations with longevity are remarkable, but have been overlooked by previously published genome-wide association studies on longevity. This study contributes to filling this research gap and provides a scientific basis for further investigating effects of sex-specific genetic variants and their interactions with environment on healthy aging, which may substantially contribute to more effective and targeted individualized health care for male and female elderly individuals.
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Affiliation(s)
- Yi Zeng
- Center for the Study of Aging and Human Development, Medical School of Duke University, Durham, North Carolina
- Center for Healthy Aging and Development Studies, National School of Development, Raissun Institute for Advanced Studies, Peking University, Beijing, China
| | - Chao Nie
- BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, China
- BGI–Shenzhen, Shenzhen, China
| | - Junxia Min
- The First Affiliated Hospital, Institute of Translational Medicine, School of Medicine, Zhejiang University, Hangzhou, China
| | - Huashuai Chen
- Center for the Study of Aging and Human Development, Medical School of Duke University, Durham, North Carolina
- Business School of Xiangtan University, Xiangtan, China
| | | | - Rui Ye
- BGI–Shenzhen, Shenzhen, China
| | | | - Chen Bai
- Center for Healthy Aging and Development Studies, National School of Development, Raissun Institute for Advanced Studies, Peking University, Beijing, China
| | - Enjun Xie
- The First Affiliated Hospital, Institute of Translational Medicine, School of Medicine, Zhejiang University, Hangzhou, China
| | - Zhaoxue Yin
- Division of Non-Communicable Disease Control and Community Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuebin Lv
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jiehua Lu
- Department of Sociology, Peking University, Beijing, China
| | - Jianxin Li
- Department of Sociology, Peking University, Beijing, China
| | - Ting Ni
- School of Life Sciences, Fudan University, Shanghai, China
| | - Lars Bolund
- BGI–Shenzhen, Shenzhen, China
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Kenneth C. Land
- Duke Population Research Institute, Duke University, Durham, North Carolina
| | - Anatoliy Yashin
- Duke Population Research Institute, Duke University, Durham, North Carolina
| | - Angela M. O’Rand
- Duke Population Research Institute, Duke University, Durham, North Carolina
| | - Liang Sun
- The MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Ze Yang
- The MOH Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Wei Tao
- School of Life Sciences, Peking University, Beijing, China
| | | | | | - Jichun Xie
- Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina
| | - Jun Gu
- School of Life Sciences, Peking University, Beijing, China
| | | | | | - Xun Xu
- BGI–Shenzhen, Shenzhen, China
| | - Jean-Marie Robine
- French National Institute on Health and Medical Research and Ecole Pratique des Hautes Etudes, University of Montpellier, Montpellier, France
| | - Joris Deelen
- Max Planck Institute for Biology of Ageing, Cologne, Germany
| | | | - Eline Slagboom
- Department of Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Elizabeth Hauser
- Molecular Physiology Institute, Medical Center, Duke University, Durham, North Carolina
| | - William Gottschalk
- Department of Neurology, Medical Center, Duke University, Durham, North Carolina
| | - Qihua Tan
- University of Southern Denmark, Odense, Denmark
| | | | - Xiaoming Shi
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Mike Lutz
- Department of Neurology, Medical Center, Duke University, Durham, North Carolina
| | - Xiao-Li Tian
- Human Aging Research Institute and School of Life Science, Nanchang University, Jiangxi, China
| | - Huanming Yang
- BGI–Shenzhen, Shenzhen, China
- James D. Watson Institute of Genome Sciences, Hangzhou, China
| | - James Vaupel
- Max Planck Institute for Demographic Research, Rostock, Germany
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Sebastiani P, Gurinovich A, Bae H, Andersen SL, Perls TT. Assortative Mating by Ethnicity in Longevous Families. Front Genet 2017; 8:186. [PMID: 29209360 PMCID: PMC5702482 DOI: 10.3389/fgene.2017.00186] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [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: 09/08/2017] [Accepted: 11/07/2017] [Indexed: 12/01/2022] Open
Abstract
Recent work shows strong evidence of ancestry-based assortative mating in spouse pairs of the older generation of the Framingham Heart Study. Here, we extend this analysis to two studies of human longevity: the Long Life Family Study (LLFS), and the New England Centenarian Study (NECS). In the LLFS, we identified 890 spouse pairs spanning two generations, while in the NECS we used data from 102 spouse pairs including offspring of centenarians. We used principal components of genome-wide genotype data to demonstrate strong evidence of ancestry-based assortative mating in spouse pairs of the older generation and also confirm the decreasing trend of endogamy in more recent generations. These findings in studies of human longevity suggest that spouses marrying into longevous families may not be powerful controls for genetic association studies, and that there may be important ethnicity-specific, genetic influences and/or gene–environment interactions that influence extreme survival in old generations. In addition, the decreasing trend of genetic similarity of more recent generations might have ramifications for the incidence of homozygous rare variants necessary for survival to the most extreme ages.
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Affiliation(s)
- Paola Sebastiani
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States
| | | | - Harold Bae
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, United States
| | - Stacy L Andersen
- Geriatrics Section, Department of Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA, United States
| | - Thomas T Perls
- Geriatrics Section, Department of Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA, United States
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32
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Sebastiani P, Gurinovich A, Bae H, Andersen S, Malovini A, Atzmon G, Villa F, Kraja AT, Ben-Avraham D, Barzilai N, Puca A, Perls TT. Four Genome-Wide Association Studies Identify New Extreme Longevity Variants. J Gerontol A Biol Sci Med Sci 2017; 72:1453-1464. [PMID: 28329165 DOI: 10.1093/gerona/glx027] [Citation(s) in RCA: 69] [Impact Index Per Article: 9.9] [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: 09/20/2016] [Accepted: 02/14/2017] [Indexed: 01/10/2023] Open
Abstract
The search for the genetic determinants of extreme human longevity has been challenged by the phenotype's rarity and its nonspecific definition by investigators. To address these issues, we established a consortium of four studies of extreme longevity that contributed 2,070 individuals who survived to the oldest one percentile of survival for the 1900 U.S. birth year cohort. We conducted various analyses to discover longevity-associated variants (LAV) and characterized those LAVs that differentiate survival to extreme age at death (eSAVs) from those LAVs that become more frequent in centenarians because of mortality selection (eg, survival to younger years). The analyses identified new rare variants in chromosomes 4 and 7 associated with extreme survival and with reduced risk for cardiovascular disease and Alzheimer's disease. The results confirm the importance of studying truly rare survival to discover those combinations of common and rare variants associated with extreme longevity and longer health span.
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Affiliation(s)
- Paola Sebastiani
- Department of Biostatistics, Boston University School of Public Health, Massachusetts
| | | | - Harold Bae
- College of Public Health and Human Sciences, Oregon State University, Corvallis
| | - Stacy Andersen
- Geriatrics Section, Department of Medicine, Boston University School of Medicine & Boston Medical Center, Massachusetts
| | - Alberto Malovini
- Laboratory of Informatics and Systems Engineering for Clinical Research, IRCCS Fondazione Salvatore Maugeri, Pavia, Italy
| | - Gil Atzmon
- Department of Natural Science, University of Haifa, Israel.,Department of Medicine.,Department of Genetics, Albert Einstein College of Medicine, Bronx, New York
| | - Francesco Villa
- IRCCS MultiMedica, Milan, Italy.,Department of Medicine and Surgery, University of Salerno, Baronissi, Italy
| | - Aldi T Kraja
- Division of Statistical Genomics, Washington University School of Medicine, Saint Louis, Missouri
| | - Danny Ben-Avraham
- Department of Medicine.,Department of Genetics, Albert Einstein College of Medicine, Bronx, New York
| | - Nir Barzilai
- Department of Medicine.,Department of Genetics, Albert Einstein College of Medicine, Bronx, New York
| | - Annibale Puca
- IRCCS MultiMedica, Milan, Italy.,Department of Medicine and Surgery, University of Salerno, Baronissi, Italy
| | - Thomas T Perls
- Geriatrics Section, Department of Medicine, Boston University School of Medicine & Boston Medical Center, Massachusetts
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33
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Peña-Castillo L, Mercer RG, Gurinovich A, Callister SJ, Wright AT, Westbye AB, Beatty JT, Lang AS. Gene co-expression network analysis in Rhodobacter capsulatus and application to comparative expression analysis of Rhodobacter sphaeroides. BMC Genomics 2014; 15:730. [PMID: 25164283 PMCID: PMC4158056 DOI: 10.1186/1471-2164-15-730] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2014] [Accepted: 08/21/2014] [Indexed: 01/05/2023] Open
Abstract
Background The genus Rhodobacter contains purple nonsulfur bacteria found mostly in freshwater environments. Representative strains of two Rhodobacter species, R. capsulatus and R. sphaeroides, have had their genomes fully sequenced and both have been the subject of transcriptional profiling studies. Gene co-expression networks can be used to identify modules of genes with similar expression profiles. Functional analysis of gene modules can then associate co-expressed genes with biological pathways, and network statistics can determine the degree of module preservation in related networks. In this paper, we constructed an R. capsulatus gene co-expression network, performed functional analysis of identified gene modules, and investigated preservation of these modules in R. capsulatus proteomics data and in R. sphaeroides transcriptomics data. Results The analysis identified 40 gene co-expression modules in R. capsulatus. Investigation of the module gene contents and expression profiles revealed patterns that were validated based on previous studies supporting the biological relevance of these modules. We identified two R. capsulatus gene modules preserved in the protein abundance data. We also identified several gene modules preserved between both Rhodobacter species, which indicate that these cellular processes are conserved between the species and are candidates for functional information transfer between species. Many gene modules were non-preserved, providing insight into processes that differentiate the two species. In addition, using Local Network Similarity (LNS), a recently proposed metric for expression divergence, we assessed the expression conservation of between-species pairs of orthologs, and within-species gene-protein expression profiles. Conclusions Our analyses provide new sources of information for functional annotation in R. capsulatus because uncharacterized genes in modules are now connected with groups of genes that constitute a joint functional annotation. We identified R. capsulatus modules enriched with genes for ribosomal proteins, porphyrin and bacteriochlorophyll anabolism, and biosynthesis of secondary metabolites to be preserved in R. sphaeroides whereas modules related to RcGTA production and signalling showed lack of preservation in R. sphaeroides. In addition, we demonstrated that network statistics may also be applied within-species to identify congruence between mRNA expression and protein abundance data for which simple correlation measurements have previously had mixed results. Electronic supplementary material The online version of this article (doi:10.1186/1471-2164-15-730) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Lourdes Peña-Castillo
- Department of Biology, Memorial University of Newfoundland, St, John's, NL A1B 3X5, Canada.
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