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Habicher J, Sanvido I, Bühler A, Sartori S, Piccoli G, Carl M. The Risk Genes for Neuropsychiatric Disorders negr1 and opcml Are Expressed throughout Zebrafish Brain Development. Genes (Basel) 2024; 15:363. [PMID: 38540422 PMCID: PMC10969947 DOI: 10.3390/genes15030363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 03/11/2024] [Accepted: 03/12/2024] [Indexed: 06/14/2024] Open
Abstract
The immunoglobulin LAMP/OBCAM/NTM (IgLON) family of cell adhesion molecules comprises five members known for their involvement in establishing neural circuit connectivity, fine-tuning, and maintenance. Mutations in IgLON genes result in alterations in these processes and can lead to neuropsychiatric disorders. The two IgLON family members NEGR1 and OPCML share common links with several of them, such as schizophrenia, autism, and major depressive disorder. However, the onset and the underlying molecular mechanisms have remained largely unresolved, hampering progress in developing therapies. NEGR1 and OPCML are evolutionarily conserved in teleosts like the zebrafish (Danio rerio), which is excellently suited for disease modelling and large-scale screening for disease-ameliorating compounds. To explore the potential applicability of zebrafish for extending our knowledge on NEGR1- and OPCML-linked disorders and to develop new therapeutic strategies, we investigated the spatio-temporal expression of the two genes during early stages of development. negr1 and opcml are expressed maternally and subsequently in partially distinct domains of conserved brain regions. Other areas of expression in zebrafish have not been reported in mammals to date. Our results indicate that NEGR1 and OPCML may play roles in neural circuit development and function at stages earlier than previously anticipated. A detailed functional analysis of the two genes based on our findings could contribute to understanding the mechanistic basis of related psychiatric disorders.
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Affiliation(s)
- Judith Habicher
- Department of Cellular, Computational and Integrative Biology, CIBIO, University of Trento, 38123 Trento, Italy; (J.H.); (I.S.); (A.B.); (S.S.); (G.P.)
| | - Ilaria Sanvido
- Department of Cellular, Computational and Integrative Biology, CIBIO, University of Trento, 38123 Trento, Italy; (J.H.); (I.S.); (A.B.); (S.S.); (G.P.)
| | - Anja Bühler
- Department of Cellular, Computational and Integrative Biology, CIBIO, University of Trento, 38123 Trento, Italy; (J.H.); (I.S.); (A.B.); (S.S.); (G.P.)
- Molecular Cardiology, Department of Internal Medicine II, University of Ulm, 89081 Ulm, Germany
| | - Samuele Sartori
- Department of Cellular, Computational and Integrative Biology, CIBIO, University of Trento, 38123 Trento, Italy; (J.H.); (I.S.); (A.B.); (S.S.); (G.P.)
| | - Giovanni Piccoli
- Department of Cellular, Computational and Integrative Biology, CIBIO, University of Trento, 38123 Trento, Italy; (J.H.); (I.S.); (A.B.); (S.S.); (G.P.)
| | - Matthias Carl
- Department of Cellular, Computational and Integrative Biology, CIBIO, University of Trento, 38123 Trento, Italy; (J.H.); (I.S.); (A.B.); (S.S.); (G.P.)
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Corraliza-Gomez M, Bermejo T, Lilue J, Rodriguez-Iglesias N, Valero J, Cozar-Castellano I, Arranz E, Sanchez D, Ganfornina MD. Insulin-degrading enzyme (IDE) as a modulator of microglial phenotypes in the context of Alzheimer's disease and brain aging. J Neuroinflammation 2023; 20:233. [PMID: 37817156 PMCID: PMC10566021 DOI: 10.1186/s12974-023-02914-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 09/28/2023] [Indexed: 10/12/2023] Open
Abstract
The insulin-degrading enzyme (IDE) is an evolutionarily conserved zinc-dependent metallopeptidase highly expressed in the brain, where its specific functions remain poorly understood. Besides insulin, IDE is able to cleave many substrates in vitro, including amyloid beta peptides, making this enzyme a candidate pathophysiological link between Alzheimer's disease (AD) and type 2 diabetes (T2D). These antecedents led us to address the impact of IDE absence in hippocampus and olfactory bulb. A specific induction of microgliosis was found in the hippocampus of IDE knockout (IDE-KO) mice, without any effects in neither hippocampal volume nor astrogliosis. Performance on hippocampal-dependent memory tests is influenced by IDE gene dose in 12-month-old mice. Furthermore, a comprehensive characterization of the impact of IDE haploinsufficiency and total deletion in metabolic, behavioral, and molecular parameters in the olfactory bulb, a site of high insulin receptor levels, reveals an unambiguous barcode for IDE-KO mice at that age. Using wildtype and IDE-KO primary microglial cultures, we performed a functional analysis at the cellular level. IDE absence alters microglial responses to environmental signals, resulting in impaired modulation of phenotypic states, with only transitory effects on amyloid-β management. Collectively, our results reveal previously unknown physiological functions for IDE in microglia that, due to cell-compartment topological reasons, cannot be explained by its enzymatic activity, but instead modulate their multidimensional response to various damaging conditions relevant to aging and AD conditions.
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Affiliation(s)
- Miriam Corraliza-Gomez
- Instituto de Biomedicina y Genética Molecular, Excellence Unit, University of Valladolid-CSIC, Valladolid, Spain.
| | - Teresa Bermejo
- Instituto de Biomedicina y Genética Molecular, Excellence Unit, University of Valladolid-CSIC, Valladolid, Spain
| | | | - Noelia Rodriguez-Iglesias
- Achucarro Basque Center for Neuroscience, Science Park of the UPV/EHU, Leioa, Spain
- Department of Neurosciences, University of the Basque Country, Leioa, Spain
| | - Jorge Valero
- Institute of Neuroscience of Castilla y León-INCyL, University of Salamanca, Salamanca, Spain
- Institute for Biomedical Research of Salamanca, Salamanca, Spain
| | - Irene Cozar-Castellano
- Instituto de Biomedicina y Genética Molecular, Excellence Unit, University of Valladolid-CSIC, Valladolid, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
| | - Eduardo Arranz
- Instituto de Biomedicina y Genética Molecular, Excellence Unit, University of Valladolid-CSIC, Valladolid, Spain
| | - Diego Sanchez
- Instituto de Biomedicina y Genética Molecular, Excellence Unit, University of Valladolid-CSIC, Valladolid, Spain
| | - Maria Dolores Ganfornina
- Instituto de Biomedicina y Genética Molecular, Excellence Unit, University of Valladolid-CSIC, Valladolid, Spain
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Lehrer S, Rheinstein PH. RORB, an Alzheimer's disease susceptibility gene, is associated with viral encephalitis, an Alzheimer's disease risk factor. Clin Neurol Neurosurg 2023; 233:107984. [PMID: 37734269 PMCID: PMC10591837 DOI: 10.1016/j.clineuro.2023.107984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 09/04/2023] [Accepted: 09/17/2023] [Indexed: 09/23/2023]
Abstract
BACKGROUND Viral encephalitis increases later-life risk of Alzheimer's disease (AD) by a factor of 31. METHODS To further evaluate this finding, we examined the relationship of West Nile virus (WNV) to Alzheimer's disease in 50 US states. In addition, we performed a genome wide association study (GWAS) of viral encephalitis cases in UK Biobank (UKBB) to see if encephalitis genes might be related to AD. RESULTS WNV was significantly associated with deaths from Alzheimer's disease in 50 US states (r = 0.806, p < 0.001). One gene, RORB-AS1, was most significantly related on GWAS to viral encephalitis. RORB-AS1 (RORB Antisense RNA 1) is an RNA gene. Diseases associated with RORB-AS1 include childhood epilepsy and idiopathic generalized epilepsy. The closely related RORB (Related Orphan Receptor B) is a marker of selectively AD vulnerable excitatory neurons in the entorhinal cortex; these neurons are depleted and susceptible to neurofibrillary inclusions during AD progression. RORB variants significantly decreased the risk of AD, independent of the significant effects of epilepsy, age, and years of education. The total effect size of variant RORB on AD prevalence is small, 0.19%, probably the reason RORB has not turned up on genome wide association studies of AD. But the decrease in effect size on AD, no variant versus varian is larger 0.20-0.16%. To produce the 31-fold increase in AD risk associated with viral encephalitis, non-variant RORB may need to interact with encephalitis virus. LIMITATIONS A weakness in our correlative analysis is possible confounding by the ecological fallacy (or ecological inference fallacy), a logical fallacy in the interpretation of statistical data where inferences about the nature of individuals are derived from inference for the group to which those individuals belong. In this case, inferences about individuals are being drawn from the characteristics of U.S. states where they reside, rather than from the individuals themselves. A weakness in our GWAS is that UK Biobank had only 18 cases of viral encephalitis and none of these had AD. CONCLUSION data presented here confirm the association of viral encephalitis with AD and suggest that WNV infection is a significant AD risk factor. In addition, GWAS suggests that the gene RORB, an AD vulnerability factor, is significantly related to viral encephalitis. FUTURE PROSPECTS A human WNV vaccine could reduce Alzheimer's disease morbidity and mortality.
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Affiliation(s)
- Steven Lehrer
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, USA.
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Salluzzo M, Vianello C, Abdullatef S, Rimondini R, Piccoli G, Carboni L. The Role of IgLON Cell Adhesion Molecules in Neurodegenerative Diseases. Genes (Basel) 2023; 14:1886. [PMID: 37895235 PMCID: PMC10606101 DOI: 10.3390/genes14101886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 09/26/2023] [Accepted: 09/27/2023] [Indexed: 10/29/2023] Open
Abstract
In the brain, cell adhesion molecules (CAMs) are critical for neurite outgrowth, axonal fasciculation, neuronal survival and migration, and synapse formation and maintenance. Among CAMs, the IgLON family comprises five members: Opioid Binding Protein/Cell Adhesion Molecule Like (OPCML or OBCAM), Limbic System Associated Membrane Protein (LSAMP), neurotrimin (NTM), Neuronal Growth Regulator 1 (NEGR1), and IgLON5. IgLONs exhibit three N-terminal C2 immunoglobulin domains; several glycosylation sites; and a glycosylphosphatidylinositol anchoring to the membrane. Interactions as homo- or heterodimers in cis and in trans, as well as binding to other molecules, appear critical for their functions. Shedding by metalloproteases generates soluble factors interacting with cellular receptors and activating signal transduction. The aim of this review was to analyse the available data implicating a role for IgLONs in neuropsychiatric disorders. Starting from the identification of a pathological role for antibodies against IgLON5 in an autoimmune neurodegenerative disease with a poorly understood mechanism of action, accumulating evidence links IgLONs to neuropsychiatric disorders, albeit with still undefined mechanisms which will require future thorough investigations.
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Affiliation(s)
- Marco Salluzzo
- Department of Pharmacy and Biotechnology, Alma Mater Studiorum University of Bologna, 40126 Bologna, Italy;
| | - Clara Vianello
- Department of Medical and Surgical Sciences, Alma Mater Studiorum University of Bologna, 40126 Bologna, Italy; (C.V.); (R.R.)
| | - Sandra Abdullatef
- Department of Cellular, Computational and Integrative Biology, University of Trento, 38123 Trento, Italy; (S.A.); (G.P.)
| | - Roberto Rimondini
- Department of Medical and Surgical Sciences, Alma Mater Studiorum University of Bologna, 40126 Bologna, Italy; (C.V.); (R.R.)
| | - Giovanni Piccoli
- Department of Cellular, Computational and Integrative Biology, University of Trento, 38123 Trento, Italy; (S.A.); (G.P.)
| | - Lucia Carboni
- Department of Pharmacy and Biotechnology, Alma Mater Studiorum University of Bologna, 40126 Bologna, Italy;
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Brown EE, Scandura MJ, Pierce EA. Expression of NMNAT1 in the photoreceptors is sufficient to prevent NMNAT1-associated retinal degeneration. Mol Ther Methods Clin Dev 2023; 29:319-328. [PMID: 37214313 PMCID: PMC10193288 DOI: 10.1016/j.omtm.2023.04.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Accepted: 04/12/2023] [Indexed: 05/24/2023]
Abstract
Nicotinamide nucleotide adenylyltransferase 1 (NMNAT1) is a ubiquitously expressed enzyme involved in nuclear NAD+ production throughout the body. However, mutations in the NMNAT1 gene lead to retina-specific disease with few reports of systemic effects. We have previously demonstrated that AAV-mediated gene therapy using self-complementary AAV (scAAV) to ubiquitously express NMNAT1 throughout the retina prevents retinal degeneration in a mouse model of NMNAT1-associated disease. We aimed to develop a better understanding of the cell types in the retina that contribute to disease pathogenesis in NMNAT1-associated disease, and to identify the cell types that require NMNAT1 expression for therapeutic benefit. To achieve this goal, we treated Nmnat1V9M/V9M mice with scAAV using cell type-specific promoters to restrict NMNAT1 expression to distinct retinal cell types. We hypothesized that photoreceptors are uniquely vulnerable to NAD+ depletion due to mutations in NMNAT1. Consistent with this hypothesis, we identified that treatments that drove NMNAT1 expression in the photoreceptors led to preservation of retinal morphology. These findings suggest that gene therapies for NMNAT1-associated disease should aim to express NMNAT1 in the photoreceptor cells.
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Affiliation(s)
- Emily E. Brown
- Ocular Genomics Institute, Department of Ophthalmology, Massachusetts Eye and Ear Harvard Medical School, Boston, MA 02114, USA
| | - Michael J. Scandura
- Ocular Genomics Institute, Department of Ophthalmology, Massachusetts Eye and Ear Harvard Medical School, Boston, MA 02114, USA
| | - Eric A. Pierce
- Ocular Genomics Institute, Department of Ophthalmology, Massachusetts Eye and Ear Harvard Medical School, Boston, MA 02114, USA
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Weller AE, Ferraro TN, Doyle GA, Reiner BC, Crist RC, Berrettini WH. Single Nucleus Transcriptome Data from Alzheimer’s Disease Mouse Models Yield New Insight into Pathophysiology. J Alzheimers Dis 2022; 90:1233-1247. [DOI: 10.3233/jad-220391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Background: 5XFAD humanized mutant mice and Trem2 knockout (T2KO) mice are two mouse models relevant to the study of Alzheimer’s disease (AD)-related pathology. Objective: To determine hippocampal transcriptomic and polyadenylation site usage alterations caused by genetic mutations engineered in 5XFAD and T2KO mice. Methods: Employing a publicly available single-nucleus RNA sequencing dataset, we used Seurat and Sierra analytic programs to identify differentially expressed genes (DEGs) and differential transcript usage (DTU), respectively, in hippocampal cell types from each of the two mouse models. We analyzed cell type-specific DEGs further using Ingenuity Pathway Analysis (IPA). Results: We identified several DEGs in both neuronal and glial cell subtypes in comparisons of wild type (WT) versus 5XFAD and WT versus T2KO mice, including Ttr, Fth1, Pcsk1n, Malat1, Rpl37, Rtn1, Sepw1, Uba52, Mbp, Arl6ip5, Gm26917, Vwa1, and Pgrmc1. We also observed DTU in common between the two comparisons in neuronal and glial subtypes, specifically in the genes Prnp, Rbm4b, Pnisr, Opcml, Cpne7, Adgrb1, Gabarapl2, Ubb, Ndfip1, Car11, and Stmn4. IPA identified three statistically significant canonical pathways that appeared in multiple cell types and that overlapped between 5XFAD and T2KO comparisons to WT, including ‘FXR/RXR Activation’, ‘LXR/RXR Activation’, and ‘Acute Phase Response Signaling’. Conclusion: DEG, DTU, and IPA findings, derived from two different mouse models of AD, highlight the importance of energy imbalance and inflammatory processes in specific hippocampal cell types, including subtypes of neurons and glial cells, in the development of AD-related pathology. Additional studies are needed to further characterize these findings.
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Affiliation(s)
- Andrew E. Weller
- Department of Psychiatry, Center for Neurobiology and Behavior, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Thomas N. Ferraro
- Department of Psychiatry, Center for Neurobiology and Behavior, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biomedical Sciences, Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Glenn A. Doyle
- Department of Psychiatry, Center for Neurobiology and Behavior, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Benjamin C. Reiner
- Department of Psychiatry, Center for Neurobiology and Behavior, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Richard C. Crist
- Department of Psychiatry, Center for Neurobiology and Behavior, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Wade H. Berrettini
- Department of Psychiatry, Center for Neurobiology and Behavior, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Fabbri MC, Crovetti A, Tinacci L, Bertelloni F, Armani A, Mazzei M, Fratini F, Bozzi R, Cecchi F. Identification of candidate genes associated with bacterial and viral infections in wild boars hunted in Tuscany (Italy). Sci Rep 2022; 12:8145. [PMID: 35581286 PMCID: PMC9114367 DOI: 10.1038/s41598-022-12353-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 05/10/2022] [Indexed: 11/08/2022] Open
Abstract
Wild boar (Sus scrofa L.) is one of the large mammals most spread worldwide, highly adaptable, and its population rapidly increased in many areas in Europe, including Italy, where Tuscany is considered particularly suitable for wild boar. Wild boars are potential hosts for different etiological agents, such as Brucella spp., Leptospira spp. and Pseudorabies virus and they can contribute to maintain and/or to disseminate some bacterial or viral pathogens to humans and domestic animals, above all-in free-range farms. In order to identify hypothetical genomic regions associated with these infection diseases, 96 samples of wild boars hunted in Tuscany during the 2018-2019 and 2019-2020 hunting seasons were considered. Diagnosis was achieved by serological tests and 42 Pseudorabies, 31 Leptospira and 15 Brucella positive animals were identified. All animals were genotyped with Geneseek Genomic Profiler Porcine HD (70 k) and a genome-wide scan was then performed. Significant markers were highlighted for Pseudorabies (two SNPs), Brucella (seven SNPs), and Leptospira (four SNPs) and they were located within, or nearby, 29 annotated genes on chromosome 6, 9, 12, 13, 14 and 18. Eight genes are implicated in viral (SEC14L1, JMJD6, SRSF2, TMPRSS2, MX1, MX2) or bacterial (COL8A1, SPIRE1) infections, seven genes (MFSD11, METTL23, CTTNBP2, BACE2, IMPA2, MPPE1 and GNAL) are involved in mental disorders and one gene (MGAT5B) is related to the Golgi complex. Results presented here provide interesting starting points for future research, validation studies and fine mapping of candidate genes involved in bacterial and viral infections in wild boar.
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Affiliation(s)
- M C Fabbri
- Dipartimento di Scienze e Tecnologie Agrarie, Alimentari, Ambientali e Forestali, Università di Firenze, Firenze, Italy.
| | - A Crovetti
- Dipartimento di Scienze e Tecnologie Agrarie, Alimentari, Ambientali e Forestali, Università di Firenze, Firenze, Italy
| | - L Tinacci
- Dipartimento di Scienze Veterinarie, Università di Pisa, Pisa, Italy
| | - F Bertelloni
- Dipartimento di Scienze Veterinarie, Università di Pisa, Pisa, Italy
| | - A Armani
- Dipartimento di Scienze Veterinarie, Università di Pisa, Pisa, Italy
| | - M Mazzei
- Dipartimento di Scienze Veterinarie, Università di Pisa, Pisa, Italy
| | - F Fratini
- Dipartimento di Scienze Veterinarie, Università di Pisa, Pisa, Italy
| | - R Bozzi
- Dipartimento di Scienze e Tecnologie Agrarie, Alimentari, Ambientali e Forestali, Università di Firenze, Firenze, Italy
| | - F Cecchi
- Dipartimento di Scienze Veterinarie, Università di Pisa, Pisa, Italy
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Gupta G, Deval R, Rai N, Nizamuddin S, Upadhyay S, Pasupuleti N, Ng HKT, Singh PK, Rao V. Genome-wide association study for suicide in high–risk isolated historical population from North East India. JOURNAL OF AFFECTIVE DISORDERS REPORTS 2022. [DOI: https://doi.org/10.1016/j.jadr.2022.100327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
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Gupta G, Deval R, Rai N, Nizamuddin S, Upadhyay S, Pasupuleti N, Ng HKT, Singh PK, Rao V. Genome-wide association study for suicide in high–risk isolated historical population from North East India. JOURNAL OF AFFECTIVE DISORDERS REPORTS 2022. [DOI: https:/doi.org/10.1016/j.jadr.2022.100327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
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Gupta MG, Deval DR, Rai DN, Nizamuddin DS, Upadhyay DS, Pasupuleti MN, Ng PHKT, Singh DPK, Rao PV. Genome-wide association study for suicide in high–risk isolated historical population from north east India. JOURNAL OF AFFECTIVE DISORDERS REPORTS 2022. [DOI: 10.1016/j.jadr.2022.100327] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
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Yu Z, Du M, Lu L. A Novel 16-Genes Signature Scoring System as Prognostic Model to Evaluate Survival Risk in Patients with Glioblastoma. Biomedicines 2022; 10:biomedicines10020317. [PMID: 35203526 PMCID: PMC8869708 DOI: 10.3390/biomedicines10020317] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 01/20/2022] [Accepted: 01/21/2022] [Indexed: 12/15/2022] Open
Abstract
Previous studies have found that gene expression levels are associated with prognosis and some genes can be used to predict the survival risk of glioblastoma (GBM) patients. However, most of them just built the survival-related gene signature, and personal survival risk can be evaluated only in group. This study aimed to find the prognostic survival related genes of GBM, and construct survival risk prediction model, which can be used to evaluate survival risk by individual. We collected gene expression data and clinical information from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases. Cox regression analysis and LASSO-cox regression analysis were performed to get survival-related genes and establish the overall survival prediction model. The ROC curve and Kaplan Meier analysis were used to evaluate the prediction ability of the model in training set and two independent cohorts. We also analyzed the biological functions of survival-related genes by GO and KEGG enrichment analysis. We identified 99 genes associated with overall survival and selected 16 genes (IGFBP2, GPRASP1, C1R, CHRM3, CLSTN2, NELL1, SEZ6L2, NMB, ICAM5, HPCAL4, SNAP91, PCSK1N, PGBD5, INA, UCHL1 and LHX6) to establish the survival risk prediction model. Multivariate Cox regression analysis indicted that the risk score could predict overall survival independent of age and gender. ROC analyses showed that our model was more robust than four existing signatures. The sixteen genes can also be potential transcriptional biomarkers and the model can assist doctors on clinical decision-making and personalized treatment of GBM patients.
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Bellou E, Escott-Price V. Are Alzheimer's and coronary artery diseases genetically related to longevity? Front Psychiatry 2022; 13:1102347. [PMID: 36684006 PMCID: PMC9859055 DOI: 10.3389/fpsyt.2022.1102347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 12/12/2022] [Indexed: 01/07/2023] Open
Abstract
INTRODUCTION In the last decade researchers have attempted to investigate the shared genetic architecture of longevity and age-related diseases and assess whether the increased longevity in certain people is due to protective alleles in the risk genes for a particular condition or whether there are specific "longevity" genes increasing the lifespan independently of age-related conditions' risk genes. The aim of this study was to investigate the shared genetic component between longevity and two age-related conditions. METHODS We performed a cross-trait meta-analysis of publicly available genome-wide data for Alzheimer's disease, coronary artery disease and longevity using a subset-based approach provided by the R package ASSET. RESULTS Despite the lack of strong genetic correlation between longevity and the two diseases, we identified 38 genome-wide significant lead SNPs across 22 independent genomic loci. Of them 6 were found to be potentially shared among the three traits mapping to genes including DAB2IP, DNM2, FCHO1, CLPTM1, and SNRPD2. We also identified 19 novel genome-wide associations for the individual traits in this study. Functional annotations and biological pathway enrichment analyses suggested that pleiotropic variants are involved in clathrin-mediated endocytosis and plasma lipoprotein and neurotransmitter clearance processes. DISCUSSION In summary, we have been able to advance in the knowledge of the genetic overlap existing among longevity and the two most common age-related disorders.
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Affiliation(s)
- Eftychia Bellou
- UK Dementia Research Institute, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Valentina Escott-Price
- Division of Neuroscience and Mental Health, School of Medicine, Cardiff University, Cardiff, United Kingdom
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Fortunato C, Mazzola F, Raffaelli N. The key role of the NAD biosynthetic enzyme nicotinamide mononucleotide adenylyltransferase in regulating cell functions. IUBMB Life 2021; 74:562-572. [PMID: 34866305 PMCID: PMC9299865 DOI: 10.1002/iub.2584] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 11/09/2021] [Accepted: 11/17/2021] [Indexed: 01/06/2023]
Abstract
The enzyme nicotinamide mononucleotide adenylyltransferase (NMNAT) catalyzes a reaction central to all known NAD biosynthetic routes. In mammals, three isoforms with distinct molecular and catalytic properties, different subcellular and tissue distribution have been characterized. Each isoform is essential for cell survival, with a critical role in modulating NAD levels in a compartment‐specific manner. Each isoform supplies NAD to specific NAD‐dependent enzymes, thus regulating their activity with impact on several biological processes, including DNA repair, proteostasis, cell differentiation, and neuronal maintenance. The nuclear NMNAT1 and the cytoplasmic NMNAT2 are also emerging as relevant targets in specific types of cancers and NMNAT2 has a key role in the activation of antineoplastic compounds. This review recapitulates the biochemical properties of the three isoforms and focuses on recent advances on their protective function, involvement in human diseases and role as druggable targets.
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Affiliation(s)
- Carlo Fortunato
- Department of Agricultural, Food and Environmental Sciences, Polytechnic University of Marche, Ancona, Italy
| | - Francesca Mazzola
- Department of Clinical Sciences, Polytechnic University of Marche, Ancona, Italy
| | - Nadia Raffaelli
- Department of Agricultural, Food and Environmental Sciences, Polytechnic University of Marche, Ancona, Italy
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Ban Y, Yu T, Feng B, Lorenz C, Wang X, Baker C, Zou Y. Prickle promotes the formation and maintenance of glutamatergic synapses by stabilizing the intercellular planar cell polarity complex. SCIENCE ADVANCES 2021; 7:eabh2974. [PMID: 34613779 PMCID: PMC8494439 DOI: 10.1126/sciadv.abh2974] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Accepted: 08/16/2021] [Indexed: 05/04/2023]
Abstract
Whether there exists a common signaling mechanism that assembles all glutamatergic synapses is unknown. We show here that knocking out Prickle1 and Prickle2 reduced the formation of the PSD-95–positive glutamatergic synapses in the hippocampus and medial prefrontal cortex in postnatal development by 70–80%. Prickle1 and Prickle2 double knockout in adulthood lead to the disassembly of 70 to 80% of the postsynaptic-density(PSD)-95–positive glutamatergic synapses. PSD-95–positive glutamatergic synapses in the hippocampus of Prickle2E8Q/E8Q mice were reduced by 50% at postnatal day 14. Prickle2 promotes synapse formation by antagonizing Vangl2 and stabilizing the intercellular complex of the planar cell polarity (PCP) components, whereas Prickle2 E8Q fails to do so. Coculture experiments show that the asymmetric PCP complexes can determine the presynaptic and postsynaptic polarity. In summary, the PCP components regulate the assembly and maintenance of a large number of glutamatergic synapses and specify the direction of synaptic transmission.
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Affiliation(s)
- Yue Ban
- Neurobiology Section, Biological Sciences Division, University of California, San Diego, La Jolla, CA 92093, USA
| | - Ting Yu
- Neurobiology Section, Biological Sciences Division, University of California, San Diego, La Jolla, CA 92093, USA
| | - Bo Feng
- Neurobiology Section, Biological Sciences Division, University of California, San Diego, La Jolla, CA 92093, USA
| | - Charlotte Lorenz
- Neurobiology Section, Biological Sciences Division, University of California, San Diego, La Jolla, CA 92093, USA
| | - Xiaojia Wang
- Neurobiology Section, Biological Sciences Division, University of California, San Diego, La Jolla, CA 92093, USA
| | - Clayton Baker
- Neurobiology Section, Biological Sciences Division, University of California, San Diego, La Jolla, CA 92093, USA
| | - Yimin Zou
- Neurobiology Section, Biological Sciences Division, University of California, San Diego, La Jolla, CA 92093, USA
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15
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Shi F, He Y, Chen Y, Yin X, Sha X, Wang Y. Comparative Analysis of Multiple Neurodegenerative Diseases Based on Advanced Epigenetic Aging Brain. Front Genet 2021; 12:657636. [PMID: 34093653 PMCID: PMC8173158 DOI: 10.3389/fgene.2021.657636] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Accepted: 04/16/2021] [Indexed: 11/25/2022] Open
Abstract
Background: Neurodegenerative Diseases (NDs) are age-dependent and include Alzheimer’s disease (AD), Parkinson’s disease (PD), progressive supranuclear palsy (PSP), frontotemporal dementia (FTD), and so on. There have been numerous studies showing that accelerated aging is closely related (even the driver of) ND, thus promoting imbalances in cellular homeostasis. However, the mechanisms of how different ND types are related/triggered by advanced aging are still unclear. Therefore, there is an urgent need to explore the potential markers/mechanisms of different ND types based on aging acceleration at a system level. Methods: AD, PD, PSP, FTD, and aging markers were identified by supervised machine learning methods. The aging acceleration differential networks were constructed based on the aging score. Both the enrichment analysis and sensitivity analysis were carried out to investigate both common and specific mechanisms among different ND types in the context of aging acceleration. Results: The extracellular fluid, cellular metabolisms, and inflammatory response were identified as the common driving factors of cellular homeostasis imbalances during the accelerated aging process. In addition, Ca ion imbalance, abnormal protein depositions, DNA damage, and cytoplasmic DNA in macrophages were also revealed to be special mechanisms that further promote AD, PD, PSP, and FTD, respectively. Conclusion: The accelerated epigenetic aging mechanisms of different ND types were integrated and compared through our computational pipeline.
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Affiliation(s)
- Feitong Shi
- Department of Biomedical Engineering, School of Fundamental Sciences, China Medical University, Shenyang, China
| | - Yudan He
- Department of Biomedical Engineering, School of Fundamental Sciences, China Medical University, Shenyang, China
| | - Yao Chen
- Department of Biomedical Engineering, School of Fundamental Sciences, China Medical University, Shenyang, China
| | - Xinman Yin
- Department of Biomedical Engineering, School of Fundamental Sciences, China Medical University, Shenyang, China
| | - Xianzheng Sha
- Department of Biomedical Engineering, School of Fundamental Sciences, China Medical University, Shenyang, China
| | - Yin Wang
- Department of Biomedical Engineering, School of Fundamental Sciences, China Medical University, Shenyang, China.,Tumor Etiology and Screening Department of Cancer Institute and General Surgery, The First Affiliated Hospital of China Medical University, Shenyang, China
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16
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Importance of GWAS in finding un-targeted genetic association of sporadic Alzheimer’s disease. Mol Cell Toxicol 2021. [DOI: 10.1007/s13273-021-00130-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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17
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Shi X, Radhakrishnan S, Wen J, Chen JY, Chen J, Lam BA, Mills RE, Stranger BE, Lee C, Setlur SR. Association of CNVs with methylation variation. NPJ Genom Med 2020; 5:41. [PMID: 33062306 PMCID: PMC7519119 DOI: 10.1038/s41525-020-00145-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Accepted: 08/04/2020] [Indexed: 12/03/2022] Open
Abstract
Germline copy number variants (CNVs) and single-nucleotide polymorphisms (SNPs) form the basis of inter-individual genetic variation. Although the phenotypic effects of SNPs have been extensively investigated, the effects of CNVs is relatively less understood. To better characterize mechanisms by which CNVs affect cellular phenotype, we tested their association with variable CpG methylation in a genome-wide manner. Using paired CNV and methylation data from the 1000 genomes and HapMap projects, we identified genome-wide associations by methylation quantitative trait locus (mQTL) analysis. We found individual CNVs being associated with methylation of multiple CpGs and vice versa. CNV-associated methylation changes were correlated with gene expression. CNV-mQTLs were enriched for regulatory regions, transcription factor-binding sites (TFBSs), and were involved in long-range physical interactions with associated CpGs. Some CNV-mQTLs were associated with methylation of imprinted genes. Several CNV-mQTLs and/or associated genes were among those previously reported by genome-wide association studies (GWASs). We demonstrate that germline CNVs in the genome are associated with CpG methylation. Our findings suggest that structural variation together with methylation may affect cellular phenotype.
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Affiliation(s)
- Xinghua Shi
- Department of Bioinformatics and Genomics, College of Computing and Informatics, University of North Carolina, Charlotte, North Carolina 28223 USA.,Present Address: Department of Computer and Information Sciences, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122 USA
| | - Saranya Radhakrishnan
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115 USA
| | - Jia Wen
- Department of Bioinformatics and Genomics, College of Computing and Informatics, University of North Carolina, Charlotte, North Carolina 28223 USA
| | - Jin Yun Chen
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115 USA
| | - Junjie Chen
- Department of Bioinformatics and Genomics, College of Computing and Informatics, University of North Carolina, Charlotte, North Carolina 28223 USA.,Present Address: Department of Computer and Information Sciences, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122 USA
| | - Brianna Ashlyn Lam
- Department of Bioinformatics and Genomics, College of Computing and Informatics, University of North Carolina, Charlotte, North Carolina 28223 USA
| | - Ryan E Mills
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109 USA
| | - Barbara E Stranger
- Department of Pharmacology, Northwestern University, Chicago, Illinois 60611 USA
| | - Charles Lee
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut 06032 USA.,Department of Life Sciences, Ewha Womans University, Seoul, 03760 South Korea.,Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061 Shaanxi China
| | - Sunita R Setlur
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115 USA
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18
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Venkannagari H, Kasper JM, Misra A, Rush SA, Fan S, Lee H, Sun H, Seshadrinathan S, Machius M, Hommel JD, Rudenko G. Highly Conserved Molecular Features in IgLONs Contrast Their Distinct Structural and Biological Outcomes. J Mol Biol 2020; 432:5287-5303. [PMID: 32710982 DOI: 10.1016/j.jmb.2020.07.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 07/17/2020] [Accepted: 07/20/2020] [Indexed: 11/16/2022]
Abstract
Neuronal growth regulator 1 (NEGR1) and neurotrimin (NTM) are abundant cell-surface proteins found in the brain and form part of the IgLON (Immunoglobulin LSAMP, OBCAM, Neurotrimin) family. In humans, NEGR1 is implicated in obesity and mental disorders, while NTM is linked to intelligence and cognitive function. IgLONs dimerize homophilically and heterophilically, and they are thought to shape synaptic connections and neural circuits by acting in trans (spanning cellular junctions) and/or in cis (at the same side of a junction). Here, we reveal homodimeric structures of NEGR1 and NTM. They assemble into V-shaped complexes via their Ig1 domains, and disruption of the Ig1-Ig1 interface abolishes dimerization in solution. A hydrophobic ridge from one Ig1 domain inserts into a hydrophobic pocket from the opposing Ig1 domain producing an interaction interface that is highly conserved among IgLONs but remarkably plastic structurally. Given the high degree of sequence conservation at the interaction interface, we tested whether different IgLONs could elicit the same biological effect in vivo. In a small-scale study administering different soluble IgLONs directly into the brain and monitoring feeding, only NEGR1 altered food intake significantly. Taking NEGR1 as a prototype, our studies thus indicate that while IgLONs share a conserved mode of interaction and are able to bind each other as homomers and heteromers, they are structurally plastic and can exert unique biological action.
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Affiliation(s)
- Harikanth Venkannagari
- Department of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX 77555, USA; Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, Galveston, TX 77555, USA
| | - James M Kasper
- Department of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX 77555, USA; Center for Addiction Research, University of Texas Medical Branch, Galveston, TX 77555, USA
| | - Anurag Misra
- Department of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX 77555, USA; Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, Galveston, TX 77555, USA
| | - Scott A Rush
- Department of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX 77555, USA; Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, Galveston, TX 77555, USA
| | - Shanghua Fan
- Department of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX 77555, USA; Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, Galveston, TX 77555, USA
| | - Hubert Lee
- Department of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX 77555, USA; Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, Galveston, TX 77555, USA
| | - Hong Sun
- Department of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX 77555, USA; Center for Addiction Research, University of Texas Medical Branch, Galveston, TX 77555, USA
| | - Suchithra Seshadrinathan
- Department of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX 77555, USA; Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, Galveston, TX 77555, USA
| | - Mischa Machius
- Department of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX 77555, USA; Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, Galveston, TX 77555, USA
| | - Jonathan D Hommel
- Department of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX 77555, USA; Center for Addiction Research, University of Texas Medical Branch, Galveston, TX 77555, USA
| | - Gabby Rudenko
- Department of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX 77555, USA; Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, Galveston, TX 77555, USA; Center for Addiction Research, University of Texas Medical Branch, Galveston, TX 77555, USA.
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19
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Neuner SM, Tcw J, Goate AM. Genetic architecture of Alzheimer's disease. Neurobiol Dis 2020; 143:104976. [PMID: 32565066 PMCID: PMC7409822 DOI: 10.1016/j.nbd.2020.104976] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 05/30/2020] [Accepted: 06/13/2020] [Indexed: 02/06/2023] Open
Abstract
Advances in genetic and genomic technologies over the last thirty years have greatly enhanced our knowledge concerning the genetic architecture of Alzheimer's disease (AD). Several genes including APP, PSEN1, PSEN2, and APOE have been shown to exhibit large effects on disease susceptibility, with the remaining risk loci having much smaller effects on AD risk. Notably, common genetic variants impacting AD are not randomly distributed across the genome. Instead, these variants are enriched within regulatory elements active in human myeloid cells, and to a lesser extent liver cells, implicating these cell and tissue types as critical to disease etiology. Integrative approaches are emerging as highly effective for identifying the specific target genes through which AD risk variants act and will likely yield important insights related to potential therapeutic targets in the coming years. In the future, additional consideration of sex- and ethnicity-specific contributions to risk as well as the contribution of complex gene-gene and gene-environment interactions will likely be necessary to further improve our understanding of AD genetic architecture.
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Affiliation(s)
- Sarah M Neuner
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Julia Tcw
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Alison M Goate
- Nash Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, USA.
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20
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Labus J, Röhrs KF, Ackmann J, Varbanov H, Müller FE, Jia S, Jahreis K, Vollbrecht AL, Butzlaff M, Schill Y, Guseva D, Böhm K, Kaushik R, Bijata M, Marin P, Chaumont-Dubel S, Zeug A, Dityatev A, Ponimaskin E. Amelioration of Tau pathology and memory deficits by targeting 5-HT7 receptor. Prog Neurobiol 2020; 197:101900. [PMID: 32841723 DOI: 10.1016/j.pneurobio.2020.101900] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Revised: 07/21/2020] [Accepted: 08/17/2020] [Indexed: 01/01/2023]
Abstract
Tauopathies comprise a heterogeneous family of neurodegenerative diseases characterized by pathological accumulation of hyperphosphorylated Tau protein. Pathological changes in serotonergic signaling have been associated with tauopathy etiology, but the underlying mechanisms remain poorly understood. Here, we studied the role of the serotonin receptor 7 (5-HT7R), in a mouse model of tauopathy induced by overexpressing the human Tau[R406W] mutant associated with inherited forms of frontotemporal dementia. We showed that the constitutive 5-HT7R activity is required for Tau hyperphosphorylation and formation of highly bundled Tau structures (HBTS) through G-protein-independent, CDK5-dependent mechanism. We also showed that 5-HT7R physically interacts with CDK5. At the systemic level, 5-HT7R-mediated CDK5 activation induces HBTS leading to neuronal death, reduced long-term potentiation (LTP), and impaired memory in mice. Specific blockade of constitutive 5-HT7R activity in neurons that overexpressed Tau[R406W] prevents Tau hyperphosphorylation, aggregation, and neurotoxicity. Moreover, 5-HT7R knockdown in the prefrontal cortex fully abrogates Tau[R406W]-induced LTP deficits and memory impairments. Thus, 5-HT7R/CDK5 signaling emerged as a new, promising target for tauopathy treatments.
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Affiliation(s)
- Josephine Labus
- Department of Cellular Neurophysiology, Hannover Medical School, Hannover, Germany
| | - Kian-Fritz Röhrs
- Department of Cellular Neurophysiology, Hannover Medical School, Hannover, Germany; Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Jana Ackmann
- Department of Cellular Neurophysiology, Hannover Medical School, Hannover, Germany
| | - Hristo Varbanov
- Instituite of Neurophysiology, Hannover Medical School, Hannover, Germany; German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Franziska E Müller
- Department of Cellular Neurophysiology, Hannover Medical School, Hannover, Germany
| | - Shaobo Jia
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Kathrin Jahreis
- Department of Cellular Neurophysiology, Hannover Medical School, Hannover, Germany
| | - Anna-Lena Vollbrecht
- Department of Cellular Neurophysiology, Hannover Medical School, Hannover, Germany
| | - Malte Butzlaff
- Department of Cellular Neurophysiology, Hannover Medical School, Hannover, Germany
| | - Yvonne Schill
- Department of Cellular Neurophysiology, Hannover Medical School, Hannover, Germany
| | - Daria Guseva
- Department of Cellular Neurophysiology, Hannover Medical School, Hannover, Germany
| | - Katrin Böhm
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Rahul Kaushik
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany; Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany
| | - Monika Bijata
- Department of Cellular Neurophysiology, Hannover Medical School, Hannover, Germany; Department of Molecular and Cellular Neurobiology, Nencki Institute of Experimental Biology of the Polish Academy of Science, Warsaw, Poland
| | - Philippe Marin
- IGF, Université de Montpellier, CNRS, INSERM, Montpellier, France
| | | | - Andre Zeug
- Department of Cellular Neurophysiology, Hannover Medical School, Hannover, Germany
| | - Alexander Dityatev
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany; Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany; Medical Faculty, Otto-von-Guericke University, Magdeburg, Germany.
| | - Evgeni Ponimaskin
- Department of Cellular Neurophysiology, Hannover Medical School, Hannover, Germany; Institute of Neuroscience, Lobachevsky State University of Nizhni Novgorod, Russia.
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21
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Gupta G, Deval R, Mishra A, Upadhyay S, Singh PK, Rao VR. Re-testing reported significant SNPs related to suicide in a historical high -risk isolated population from north east India. Hereditas 2020; 157:31. [PMID: 32680568 PMCID: PMC7368720 DOI: 10.1186/s41065-020-00144-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Accepted: 07/07/2020] [Indexed: 02/08/2023] Open
Abstract
Background Genetic diathesis of suicide is supported by family and twin studies. Few candidate gene pathways are known, but does not explain fully the complexity of suicide genetic risk. Recent investigations opting for Genome-Wide Association Studies (GWAS) resulted in finding additional targets, but replication remained a challenge. In this respect small isolated population approach in several complex disease phenotypes is found encouraging. The present study is an attempt to re-test some of the reported significant SNPs for suicide among a small historical high- risk isolated population from Northeast India. Methods Two hundred ten cases (inclusive of depressed, suicide attempter and depressed + suicide attempter) and 249 controls were considered in the present study which were evaluated for the psychiatric parameters. Sixteen reported significant SNPs for suicide behaviour were re-tested using association approach under various genetic models. Networking by GeneMANIA tool was used for function prediction of the associated genes. Results Seven SNPs (of 6 genes) remained significant in different genetic models. On networking genes with significant SNPs IL7, RHEB, CTNN3, KCNIP4, ARFGEF3 are found in interaction with already known candidate gene pathways while SNP rs1109089 (RHEB) gained further support from earlier expression studies. NUGGC gene is in complete isolation. Conclusions Small population approach in replicating significant SNPs is useful in complex phenotypes like suicide. This study explored the region-specific demographics of India by identifying vulnerable population for suicide via genetic association analysis in bringing into academic and administrative forum, the importance of suicide as a disease and its biological basis.
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Affiliation(s)
- Gaurav Gupta
- Department of Biotechnology, Invertis University, Bareilly (U.P), India.,Department of Genetics, Osmania University, Hyderabad, 500007, India
| | - Ravi Deval
- Department of Biotechnology, Invertis University, Bareilly (U.P), India
| | - Anshuman Mishra
- VBRI Innovation Centre, New Delhi, India.,Institute of Advanced Materials (IAAM), 59053, Ulrika, Sweden
| | - Shashank Upadhyay
- Department of Biotechnology, Invertis University, Bareilly (U.P), India
| | - Piyoosh Kumar Singh
- Department of Anthropology, Delhi University, Delhi, India.,Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India
| | - V R Rao
- Department of Genetics, Osmania University, Hyderabad, 500007, India. .,Department of Anthropology, Delhi University, Delhi, India. .,Genome Foundation, Hyderabad, India.
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22
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Zhang Z, Chen G. A logical relationship for schizophrenia, bipolar, and major depressive disorder. Part 1: Evidence from chromosome 1 high density association screen. J Comp Neurol 2020; 528:2620-2635. [PMID: 32266715 DOI: 10.1002/cne.24921] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Revised: 03/28/2020] [Accepted: 03/30/2020] [Indexed: 12/16/2022]
Abstract
Familial clustering of schizophrenia (SCZ), bipolar disorder (BPD), and major depressive disorder (MDD) was investigated systematically (Aukes et al., Genetics in Medicine, 2012, 14, 338-341) and any two or even three of these disorders could coexist in some families. Furthermore, evidence from symptomatology and psychopharmacology also imply the existence of intrinsic connections between these three major psychiatric disorders. A total of 71,445 SNPs on chromosome 1 were genotyped on 119 SCZ, 253 BPD (type-I), 177 MDD cases and 1000 controls and further validated in 986 SCZ patients in the population of Shandong province of China. Outstanding psychosis genes are systematically revealed( ATP1A4, ELTD1, FAM5C, HHAT, KIF26B, LMX1A, NEGR1, NFIA, NR5A2, NTNG1, PAPPA2, PDE4B, PEX14, RYR2, SYT6, TGFBR3, TTLL7, and USH2A). Unexpectedly, flanking genes for up to 97.09% of the associated SNPs were also replicated in an enlarged cohort of 986 SCZ patients. From the perspective of etiological rather than clinical psychiatry, bipolar, and major depressive disorder could be subtypes of schizophrenia. Meanwhile, the varied clinical feature and prognosis might be the result of interaction of genetics and epigenetics, for example, irreversible or reversible shut down, and over or insufficient expression of certain genes, which may gives other aspects of these severe mental disorders.
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Affiliation(s)
- Zhihua Zhang
- Shandong Mental Health Center, Jinan, Shandong, China
| | - Gang Chen
- Department of Medical Genetics, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan, Shandong, China
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23
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Liu Z, Shriner D, Hansen NF, Rotimi CN, Mullikin JC. Admixture mapping identifies genetic regions associated with blood pressure phenotypes in African Americans. PLoS One 2020; 15:e0232048. [PMID: 32315356 PMCID: PMC7173845 DOI: 10.1371/journal.pone.0232048] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Accepted: 04/06/2020] [Indexed: 01/11/2023] Open
Abstract
Hypertension occurs at a higher rate in African Americans than in European Americans. Based on the assumption that causal variants are more frequently found on DNA segments inherited from the ancestral population with higher disease risk, we employed admixture mapping to identify genetic loci with excess local African ancestry associated with blood pressure. Chromosomal regions 1q21.2–21.3, 4p15.1, 19q12 and 20p13 were significantly associated with diastolic blood pressure (β = 5.28, -7.94, -6.82 and 5.89, P-value = 6.39E-04, 2.07E-04, 6.56E-05 and 5.04E-04, respectively); 1q21.2–21.3 and 19q12 were also significantly associated with mean arterial pressure (β = 5.86 and -6.40, P-value = 5.32E-04 and 6.37E-04, respectively). We further selected SNPs that had large allele frequency differences within these regions and tested their association with blood pressure. SNP rs4815428 was significantly associated with diastolic blood pressure after Bonferroni correction (β = -2.42, P-value = 9.57E-04), and it partially explained the admixture mapping signal at 20p13. SNPs rs771205 (β = -1.99, P-value = 3.37E-03), rs3126067, rs2184953 and rs58001094 (the latter three exhibit strong linkage disequilibrium, β = -2.3, P-value = 1.4E-03) were identified to be significantly associated with mean arterial pressure, and together they fully explained the admixture signal at 1q21.2–21.3. Although no SNP at 4p15.1 showed large ancestral allele frequency differences in our dataset, we detected association at low-frequency African-specific variants that mapped predominantly to the gene PCDH7, which is most highly expressed in aorta. Our results suggest that these regions may harbor genetic variants that contribute to the different prevalence of hypertension.
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Affiliation(s)
- Zhi Liu
- Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Daniel Shriner
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Nancy F. Hansen
- Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Charles N. Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - James C. Mullikin
- Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
- NIH Intramural Sequencing Center, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
- * E-mail:
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24
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Mao JH, Kim YM, Zhou YX, Hu D, Zhong C, Chang H, Brislawn CJ, Fansler S, Langley S, Wang Y, Peisl BYL, Celniker SE, Threadgill DW, Wilmes P, Orr G, Metz TO, Jansson JK, Snijders AM. Genetic and metabolic links between the murine microbiome and memory. MICROBIOME 2020; 8:53. [PMID: 32299497 PMCID: PMC7164142 DOI: 10.1186/s40168-020-00817-w] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Accepted: 03/02/2020] [Indexed: 05/04/2023]
Abstract
BACKGROUND Recent evidence has linked the gut microbiome to host behavior via the gut-brain axis [1-3]; however, the underlying mechanisms remain unexplored. Here, we determined the links between host genetics, the gut microbiome and memory using the genetically defined Collaborative Cross (CC) mouse cohort, complemented with microbiome and metabolomic analyses in conventional and germ-free (GF) mice. RESULTS A genome-wide association analysis (GWAS) identified 715 of 76,080 single-nucleotide polymorphisms (SNPs) that were significantly associated with short-term memory using the passive avoidance model. The identified SNPs were enriched in genes known to be involved in learning and memory functions. By 16S rRNA gene sequencing of the gut microbial community in the same CC cohort, we identified specific microorganisms that were significantly correlated with longer latencies in our retention test, including a positive correlation with Lactobacillus. Inoculation of GF mice with individual species of Lactobacillus (L. reuteri F275, L. plantarum BDGP2 or L. brevis BDGP6) resulted in significantly improved memory compared to uninoculated or E. coli DH10B inoculated controls. Untargeted metabolomics analysis revealed significantly higher levels of several metabolites, including lactate, in the stools of Lactobacillus-colonized mice, when compared to GF control mice. Moreover, we demonstrate that dietary lactate treatment alone boosted memory in conventional mice. Mechanistically, we show that both inoculation with Lactobacillus or lactate treatment significantly increased the levels of the neurotransmitter, gamma-aminobutyric acid (GABA), in the hippocampus of the mice. CONCLUSION Together, this study provides new evidence for a link between Lactobacillus and memory and our results open possible new avenues for treating memory impairment disorders using specific gut microbial inoculants and/or metabolites. Video Abstract.
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Affiliation(s)
- Jian-Hua Mao
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - Young-Mo Kim
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA USA
| | - Yan-Xia Zhou
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
- Marine College, Shandong University, Weihai, 264209 China
| | - Dehong Hu
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA USA
| | - Chenhan Zhong
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - Hang Chang
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - Colin J. Brislawn
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA USA
| | - Sarah Fansler
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA USA
| | - Sasha Langley
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - Yunshan Wang
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
- Department of Clinical Laboratory, The Second Hospital of Shandong University, Jinan, 250033 Shandong China
| | - B. Y. Loulou Peisl
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 7, Avenue des Hauts Fourneaux, L-4362 Esch-sur-Alzette, Luxembourg
| | - Susan E. Celniker
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - David W. Threadgill
- Department of Veterinary Pathobiology, A&M University, College Station, Texas, USA
- Department of Molecular and Cellular Medicine Texas, A&M University, College Station, Texas, USA
| | - Paul Wilmes
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 7, Avenue des Hauts Fourneaux, L-4362 Esch-sur-Alzette, Luxembourg
| | - Galya Orr
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA USA
| | - Thomas O. Metz
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA USA
| | - Janet K. Jansson
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA USA
| | - Antoine M. Snijders
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
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25
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Sang Z, Wang K, Shi J, Cheng X, Zhu G, Wei R, Ma Q, Yu L, Zhao Y, Tan Z, Liu W. Apigenin-rivastigmine hybrids as multi-target-directed liagnds for the treatment of Alzheimer’s disease. Eur J Med Chem 2020; 187:111958. [DOI: 10.1016/j.ejmech.2019.111958] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2019] [Revised: 12/07/2019] [Accepted: 12/08/2019] [Indexed: 12/14/2022]
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Nissen MS, Blaabjerg M. Anti-IgLON5 Disease: A Case With 11-Year Clinical Course and Review of the Literature. Front Neurol 2019; 10:1056. [PMID: 31632341 PMCID: PMC6783555 DOI: 10.3389/fneur.2019.01056] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2019] [Accepted: 09/18/2019] [Indexed: 11/13/2022] Open
Abstract
Background: Anti-IgLON5 disease is a novel disorder with a complex interplay between inflammation and neurodegeneration. Patients develop antibodies against IgLON5 but also deposition of neuronal tau protein. Symptoms often have an insidious onset, slow progression and mimic other neurological disorders. Here we report a case with severely prolonged 11-year disease course and provide a review of current reported cases with focus on presentation, work-up, treatment, and outcome. Method: All reported cases of anti-IgLON5 disease were evaluated. Cases reported twice (in case series and as single case reports), were carefully excluded. Results: Most patients display a characteristic sleep disorder with severe insomnia, non rapid eye movement (NREM) parasomnia, with finalistic movements and sleep disordered breathing (stridor and obstructive sleep apnea). Other symptoms are bulbar involvement, gait instability, movement disorders, oculomotor abnormalities, dysautonomia, and peripheral symptoms. Antibodies are present in both serum and CSF and there is a strong correlation with human leukocyte antigen (HLA) DRB1*10:01 and HLA-DQB1*05:01. Neuropathological examination reveals neurodegeneration with neuronal tau deposits in regions that correlate with the clinical presentation (e.g., predominantly hypothalamus and tegmentum of the brain stem). Majority of cases respond partially to immunotherapy. Cases, who received no treatment or treatment with IV corticosteroids alone, had a higher mortality than cases treated with more potent immunotherapy. Conclusion: The clinical spectrum of Anti-IgLON5 disease continues to expand. Further studies are needed to elucidate the pathophysiology, therapeutic strategies and outcome in this novel disorder. Aggressive immunotherapy seems to increase survival.
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Affiliation(s)
- Mette Scheller Nissen
- Department of Neurology, Odense University Hospital, Odense, Denmark.,Department of Clinical Research, University of Southern Denmark, Odense, Denmark.,BRIDGE, Brain Research - Inter-Disciplinary Guided Excellence, University of Southern Denmark, Odense, Denmark
| | - Morten Blaabjerg
- Department of Neurology, Odense University Hospital, Odense, Denmark.,Department of Clinical Research, University of Southern Denmark, Odense, Denmark.,BRIDGE, Brain Research - Inter-Disciplinary Guided Excellence, University of Southern Denmark, Odense, Denmark
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Hikosaka K, Yaku K, Okabe K, Nakagawa T. Implications of NAD metabolism in pathophysiology and therapeutics for neurodegenerative diseases. Nutr Neurosci 2019; 24:371-383. [PMID: 31280708 DOI: 10.1080/1028415x.2019.1637504] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Nicotinamide adenine dinucleotide (NAD) is an essential coenzyme that mediates various redox reactions. Particularly, mitochondrial NAD plays a critical role in energy production pathways, including the tricarboxylic acid (TCA) cycle, fatty acid oxidation, and oxidative phosphorylation. NAD also serves as a substrate for ADP-ribosylation and deacetylation by poly(ADP-ribose) polymerases (PARPs) and sirtuins, respectively. Thus, NAD regulates energy metabolism, DNA damage repair, gene expression, and stress response. Numerous studies have demonstrated the involvement of NAD metabolism in neurodegenerative diseases, including Alzheimer's disease (AD), Parkinson's disease (PD), and retinal degenerative diseases. Mitochondrial dysfunction is considered crucial pathogenesis for neurodegenerative diseases such as AD and PD. Maintaining appropriate NAD levels is important for mitochondrial function. Indeed, decreased NAD levels are observed in AD and PD, and supplementation of NAD precursors ameliorates disease phenotypes by activating mitochondrial functions. NAD metabolism also plays an important role in axonal degeneration, a characteristic feature of peripheral neuropathy and neurodegenerative diseases. In addition, dysregulated NAD metabolism is implicated in retinal degenerative diseases such as glaucoma and Leber congenital amaurosis, and NAD metabolism is considered a therapeutic target for these diseases. In this review, we summarize the involvement of NAD metabolism in axon degeneration and various neurodegenerative diseases and discuss perspectives of nutritional intervention using NAD precursors.
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Affiliation(s)
- Keisuke Hikosaka
- Department of Metabolism and Nutrition, Graduate School of Medicine and Pharmaceutical Science for Research, University of Toyama, Toyama, Japan
| | - Keisuke Yaku
- Department of Metabolism and Nutrition, Graduate School of Medicine and Pharmaceutical Science for Research, University of Toyama, Toyama, Japan
| | - Keisuke Okabe
- Department of Metabolism and Nutrition, Graduate School of Medicine and Pharmaceutical Science for Research, University of Toyama, Toyama, Japan.,First Department of Internal Medicine, Graduate School of Medicine and Pharmaceutical Science for Research, University of Toyama, Toyama, Japan
| | - Takashi Nakagawa
- Department of Metabolism and Nutrition, Graduate School of Medicine and Pharmaceutical Science for Research, University of Toyama, Toyama, Japan.,Institute of Natural Medicine, University of Toyama, Toyama, Japan
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28
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Naj AC, Lin H, Vardarajan BN, White S, Lancour D, Ma Y, Schmidt M, Sun F, Butkiewicz M, Bush WS, Kunkle BW, Malamon J, Amin N, Choi SH, Hamilton-Nelson KL, van der Lee SJ, Gupta N, Koboldt DC, Saad M, Wang B, Nato AQ, Sohi HK, Kuzma A, Wang LS, Cupples LA, van Duijn C, Seshadri S, Schellenberg GD, Boerwinkle E, Bis JC, Dupuis J, Salerno WJ, Wijsman EM, Martin ER, DeStefano AL. Quality control and integration of genotypes from two calling pipelines for whole genome sequence data in the Alzheimer's disease sequencing project. Genomics 2019; 111:808-818. [PMID: 29857119 PMCID: PMC6397097 DOI: 10.1016/j.ygeno.2018.05.004] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Revised: 04/03/2018] [Accepted: 05/06/2018] [Indexed: 12/30/2022]
Abstract
The Alzheimer's Disease Sequencing Project (ADSP) performed whole genome sequencing (WGS) of 584 subjects from 111 multiplex families at three sequencing centers. Genotype calling of single nucleotide variants (SNVs) and insertion-deletion variants (indels) was performed centrally using GATK-HaplotypeCaller and Atlas V2. The ADSP Quality Control (QC) Working Group applied QC protocols to project-level variant call format files (VCFs) from each pipeline, and developed and implemented a novel protocol, termed "consensus calling," to combine genotype calls from both pipelines into a single high-quality set. QC was applied to autosomal bi-allelic SNVs and indels, and included pipeline-recommended QC filters, variant-level QC, and sample-level QC. Low-quality variants or genotypes were excluded, and sample outliers were noted. Quality was assessed by examining Mendelian inconsistencies (MIs) among 67 parent-offspring pairs, and MIs were used to establish additional genotype-specific filters for GATK calls. After QC, 578 subjects remained. Pipeline-specific QC excluded ~12.0% of GATK and 14.5% of Atlas SNVs. Between pipelines, ~91% of SNV genotypes across all QCed variants were concordant; 4.23% and 4.56% of genotypes were exclusive to Atlas or GATK, respectively; the remaining ~0.01% of discordant genotypes were excluded. For indels, variant-level QC excluded ~36.8% of GATK and 35.3% of Atlas indels. Between pipelines, ~55.6% of indel genotypes were concordant; while 10.3% and 28.3% were exclusive to Atlas or GATK, respectively; and ~0.29% of discordant genotypes were. The final WGS consensus dataset contains 27,896,774 SNVs and 3,133,926 indels and is publicly available.
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Affiliation(s)
- Adam C Naj
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Honghuang Lin
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Badri N Vardarajan
- Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Simon White
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Daniel Lancour
- Department of Biomedical Genetics, Boston University School of Medicine, Boston, MA, USA
| | - Yiyi Ma
- Department of Biomedical Genetics, Boston University School of Medicine, Boston, MA, USA
| | - Michael Schmidt
- John P. Hussman Institute for Human Genetics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Fangui Sun
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Mariusz Butkiewicz
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
| | - William S Bush
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
| | - Brian W Kunkle
- John P. Hussman Institute for Human Genetics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - John Malamon
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Najaf Amin
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Seung Hoan Choi
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Kara L Hamilton-Nelson
- John P. Hussman Institute for Human Genetics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Sven J van der Lee
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Namrata Gupta
- Medical and Population Genetics Program, Broad Institute, Cambridge, MA, USA
| | - Daniel C Koboldt
- Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, USA
| | - Mohamad Saad
- Department of Biostatistics, University of Washington, Seattle, WA, USA; Division of Medical Genetics, University of Washington, Seattle, WA, USA
| | - Bowen Wang
- Department of Statistics, University of Washington, Seattle, WA, USA
| | - Alejandro Q Nato
- Division of Medical Genetics, University of Washington, Seattle, WA, USA
| | - Harkirat K Sohi
- Division of Medical Genetics, University of Washington, Seattle, WA, USA
| | - Amanda Kuzma
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Li-San Wang
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA; The Framingham Heart Study, Framingham, MA, USA
| | - Cornelia van Duijn
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Sudha Seshadri
- The Framingham Heart Study, Framingham, MA, USA; Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Gerard D Schellenberg
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Eric Boerwinkle
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA; Human Genetics Center, University of Texas Health Science Center, Houston, TX, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA; The Framingham Heart Study, Framingham, MA, USA
| | - William J Salerno
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Ellen M Wijsman
- Department of Biostatistics, University of Washington, Seattle, WA, USA; Division of Medical Genetics, University of Washington, Seattle, WA, USA
| | - Eden R Martin
- John P. Hussman Institute for Human Genetics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Anita L DeStefano
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA; The Framingham Heart Study, Framingham, MA, USA; Department of Neurology, Boston University School of Medicine, Boston, MA, USA
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29
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Grilz-Seger G, Neuditschko M, Ricard A, Velie B, Lindgren G, Mesarič M, Cotman M, Horna M, Dobretsberger M, Brem G, Druml T. Genome-Wide Homozygosity Patterns and Evidence for Selection in a Set of European and Near Eastern Horse Breeds. Genes (Basel) 2019; 10:genes10070491. [PMID: 31261764 PMCID: PMC6679042 DOI: 10.3390/genes10070491] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 06/18/2019] [Accepted: 06/26/2019] [Indexed: 01/10/2023] Open
Abstract
Intensive artificial and natural selection have shaped substantial variation among European horse breeds. Whereas most equine selection signature studies employ divergent genetic population structures in order to derive specific inter-breed targets of selection, we screened a total of 1476 horses originating from 12 breeds for the loss of genetic diversity by runs of homozygosity (ROH) utilizing a 670,000 single nucleotide polymorphism (SNP) genotyping array. Overlapping homozygous regions (ROH islands) indicating signatures of selection were identified by breed and similarities/dissimilarities between populations were evaluated. In the entire dataset, 180 ROH islands were identified, whilst 100 islands were breed specific, all other overlapped in 36 genomic regions with at least one ROH island of another breed. Furthermore, two ROH hot spots were determined at horse chromosome 3 (ECA3) and ECA11. Besides the confirmation of previously documented target genes involved in selection for coat color (MC1R, STX17, ASIP), body size (LCORL/NCAPG, ZFAT, LASP1, HMGA2), racing ability (PPARGC1A), behavioral traits (GRIN2B, NTM/OPCML) and gait patterns (DMRT3), several putative target genes related to embryonic morphogenesis (HOXB), energy metabolism (IGFBP-1, IGFBP-3), hair follicle morphogenesis (KRT25, KRT27, INTU) and autophagy (RALB) were highlighted. Furthermore, genes were pinpointed which might be involved in environmental adaptation of specific habitats (UVSSA, STXBP4, COX11, HLF, MMD).
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Affiliation(s)
- Gertrud Grilz-Seger
- Institute of Animal Breeding and Genetics, University of Veterinary Sciences Vienna, Veterinärplatz 1, 1210 Vienna, Austria.
| | - Markus Neuditschko
- Agroscope, Swiss National Stud Farm, Les Longs Prés, CH-1580 Avenches, Switzerland.
| | - Anne Ricard
- UMR 1313 Génétique Animale et Biologie Intégrative, Institut National de la Recherche Agronomique, Domaine de Vilvert, Bat 211, 78352 Jouy-en-Josas, France.
| | - Brandon Velie
- Department of Animal Breeding & Genetics, Swedish University of Agricultural Sciences, Ulls väg 26, 750 07 Uppsala, Sweden.
- School of Life and Environmental Sciences, University of Sydney, Eastern Ave, 2006 NSW Sydney, Australia.
| | - Gabriella Lindgren
- Department of Animal Breeding & Genetics, Swedish University of Agricultural Sciences, Ulls väg 26, 750 07 Uppsala, Sweden.
- Livestock Genetics, Department of Biosystems, KU Leuven, 3001 Leuven, Belgium.
| | - Matjaz Mesarič
- Clinic for Reproduction and Large Animals, University of Ljubljana, Veterinary, Faculty, Cesta v Mestni log 47, 1000 Ljubljana, Slovenia.
| | - Marko Cotman
- Institute for Preclinical Sciences, University of Ljubljana, Veterinary Faculty, Gerbičeva 60, 1000 Ljubljana, Slovenia.
| | - Michaela Horna
- Department of Animal Husbandry, Slovak University of Agriculture in Nitra, Tr. A. Hlinku 2, 949 76 Nitra, Slovakia.
| | - Max Dobretsberger
- Institute of Animal Breeding and Genetics, University of Veterinary Sciences Vienna, Veterinärplatz 1, 1210 Vienna, Austria.
| | - Gottfried Brem
- Institute of Animal Breeding and Genetics, University of Veterinary Sciences Vienna, Veterinärplatz 1, 1210 Vienna, Austria.
| | - Thomas Druml
- Institute of Animal Breeding and Genetics, University of Veterinary Sciences Vienna, Veterinärplatz 1, 1210 Vienna, Austria.
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30
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Han P, Dang Z, Shen Z, Dai H, Bai Y, Li B, Shao Y. Association of SNPs in the OBFC1 gene and laryngeal carcinoma in Chinese Han male population. Int J Clin Oncol 2019; 24:1042-1048. [PMID: 31016429 DOI: 10.1007/s10147-019-01442-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Accepted: 04/01/2019] [Indexed: 12/09/2022]
Abstract
BACKGROUND Laryngeal carcinoma (LC) is one of common diagnosed head and neck malignancies. Telomere length has been reported involved in malignant transformation and tumorigenesis. We speculate that single nucleotide polymorphisms (SNPs) in telomere length-related gene oligonucleotide/oligosaccharide-binding folds containing 1 (OBFC1) may have an association with LC in Chinese Han male population. METHODS To prove this hypothesis, we performed a case-control study to analyze the OBFC1 polymorphisms in 172 LC patients and 180 healthy controls. A total of five SNPs (i.e., rs9325507, rs3814220, rs12765878, rs11191865, rs9420707) were selected for further genotyping. RESULTS There was a significant difference in rs9325507 T allele frequency (OR = 0.88, 95% CI 0.64-1.21, P = 0.036) and rs11191865 A allele frequency (OR = 0.86, 95% CI 0.62-1.18, P = 0.009) between patient and control groups. In addition, the rs9325507 T/C genotype, rs3814220 G/A genotype, rs12765878 C/T genotype and rs11191865 A/G genotype had a lower risk of LC based on the results of logistic regression model analysis. CONCLUSIONS The results indicate a potential association between OBFC1 and LC risk in Chinese Han male population. Further work is required to confirm these results and explore the mechanisms of these effects.
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Affiliation(s)
- Peng Han
- Department of Otolaryngology Head and Neck Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, #227 Yanta West Road, Xi'an, 710061, Shaanxi, China
| | - Zhongping Dang
- Department of Operation, Chang'an District Hospital of Xi'an Jiaotong University, Xi'an, 710100, Shaanxi, China
| | - Zhen Shen
- Department of Otolaryngology Head and Neck Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, #227 Yanta West Road, Xi'an, 710061, Shaanxi, China
| | - Hao Dai
- Department of Otolaryngology Head and Neck Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, #227 Yanta West Road, Xi'an, 710061, Shaanxi, China
| | - Yanxia Bai
- Department of Otolaryngology Head and Neck Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, #227 Yanta West Road, Xi'an, 710061, Shaanxi, China
| | - Baiya Li
- Department of Otolaryngology Head and Neck Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, #227 Yanta West Road, Xi'an, 710061, Shaanxi, China.
| | - Yuan Shao
- Department of Otolaryngology Head and Neck Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, #227 Yanta West Road, Xi'an, 710061, Shaanxi, China.
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Ranaivoson FM, Turk LS, Ozgul S, Kakehi S, von Daake S, Lopez N, Trobiani L, De Jaco A, Denissova N, Demeler B, Özkan E, Montelione GT, Comoletti D. A Proteomic Screen of Neuronal Cell-Surface Molecules Reveals IgLONs as Structurally Conserved Interaction Modules at the Synapse. Structure 2019; 27:893-906.e9. [PMID: 30956130 DOI: 10.1016/j.str.2019.03.004] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Revised: 01/10/2019] [Accepted: 03/07/2019] [Indexed: 12/21/2022]
Abstract
In the developing brain, cell-surface proteins play crucial roles, but their protein-protein interaction network remains largely unknown. A proteomic screen identified 200 interactions, 89 of which were not previously published. Among these interactions, we find that the IgLONs, a family of five cell-surface neuronal proteins implicated in various human disorders, interact as homo- and heterodimers. We reveal their interaction patterns and report the dimeric crystal structures of Neurotrimin (NTRI), IgLON5, and the neuronal growth regulator 1 (NEGR1)/IgLON5 complex. We show that IgLONs maintain an extended conformation and that their dimerization occurs through the first Ig domain of each monomer and is Ca2+ independent. Cell aggregation shows that NTRI and NEGR1 homo- and heterodimerize in trans. Taken together, we report 89 unpublished cell-surface ligand-receptor pairs and describe structural models of trans interactions of IgLONs, showing that their structures are compatible with a model of interaction across the synaptic cleft.
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Affiliation(s)
| | - Liam S Turk
- Child Health Institute of New Jersey, New Brunswick, NJ 08901, USA
| | - Sinem Ozgul
- Child Health Institute of New Jersey, New Brunswick, NJ 08901, USA
| | - Sumie Kakehi
- Child Health Institute of New Jersey, New Brunswick, NJ 08901, USA
| | | | - Nicole Lopez
- Child Health Institute of New Jersey, New Brunswick, NJ 08901, USA
| | - Laura Trobiani
- Department of Biology and Biotechnology "Charles Darwin" and Pasteur Institute - Cenci Bolognetti Foundation, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy
| | - Antonella De Jaco
- Department of Biology and Biotechnology "Charles Darwin" and Pasteur Institute - Cenci Bolognetti Foundation, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy
| | - Natalia Denissova
- Department of Molecular Biology and Biochemistry and Center for Advanced Biotechnology and Medicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Borries Demeler
- Department of Chemistry and Biochemistry, University of Lethbridge, 4401 University Drive, Lethbridge, AB T1K 3M4, Canada
| | - Engin Özkan
- Department of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL 60637, USA
| | - Gaetano T Montelione
- Department of Molecular Biology and Biochemistry and Center for Advanced Biotechnology and Medicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; Department of Biochemistry and Molecular Biology, Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Davide Comoletti
- Child Health Institute of New Jersey, New Brunswick, NJ 08901, USA; Departments of Neuroscience and Cell Biology Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA; Department of Pediatrics, Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA; School of Biological Sciences, Victoria University of Wellington, Wellington 6140, New Zealand.
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Demarest TG, Babbar M, Okur MN, Dan X, Croteau DL, Fakouri NB, Mattson MP, Bohr VA. NAD+Metabolism in Aging and Cancer. ANNUAL REVIEW OF CANCER BIOLOGY-SERIES 2019. [DOI: 10.1146/annurev-cancerbio-030518-055905] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Aging is a major risk factor for many types of cancer, and the molecular mechanisms implicated in aging, progeria syndromes, and cancer pathogenesis display considerable similarities. Maintaining redox homeostasis, efficient signal transduction, and mitochondrial metabolism is essential for genome integrity and for preventing progression to cellular senescence or tumorigenesis. NAD+is a central signaling molecule involved in these and other cellular processes implicated in age-related diseases and cancer. Growing evidence implicates NAD+decline as a major feature of accelerated aging progeria syndromes and normal aging. Administration of NAD+precursors such as nicotinamide riboside (NR) and nicotinamide mononucleotide (NMN) offer promising therapeutic strategies to improve health, progeria comorbidities, and cancer therapies. This review summarizes insights from the study of aging and progeria syndromes and discusses the implications and therapeutic potential of the underlying molecular mechanisms involved in aging and how they may contribute to tumorigenesis.
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Affiliation(s)
- Tyler G. Demarest
- Laboratory of Molecular Gerontology, National Institute on Aging, National Institutes of Health, Baltimore, Maryland 21224, USA
- Laboratory of Neurosciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland 21224, USA
| | - Mansi Babbar
- Laboratory of Molecular Gerontology, National Institute on Aging, National Institutes of Health, Baltimore, Maryland 21224, USA
| | - Mustafa N. Okur
- Laboratory of Molecular Gerontology, National Institute on Aging, National Institutes of Health, Baltimore, Maryland 21224, USA
| | - Xiuli Dan
- Laboratory of Molecular Gerontology, National Institute on Aging, National Institutes of Health, Baltimore, Maryland 21224, USA
| | - Deborah L. Croteau
- Laboratory of Molecular Gerontology, National Institute on Aging, National Institutes of Health, Baltimore, Maryland 21224, USA
| | - Nima B. Fakouri
- Laboratory of Molecular Gerontology, National Institute on Aging, National Institutes of Health, Baltimore, Maryland 21224, USA
| | - Mark P. Mattson
- Laboratory of Neurosciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland 21224, USA
| | - Vilhelm A. Bohr
- Laboratory of Molecular Gerontology, National Institute on Aging, National Institutes of Health, Baltimore, Maryland 21224, USA
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A genome-wide scan for diversifying selection signatures in selected horse breeds. PLoS One 2019; 14:e0210751. [PMID: 30699152 PMCID: PMC6353161 DOI: 10.1371/journal.pone.0210751] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Accepted: 12/30/2018] [Indexed: 12/20/2022] Open
Abstract
The genetic differentiation of the current horse population was evolutionarily created by natural or artificial selection which shaped the genomes of individual breeds in several unique ways. The availability of high throughput genotyping methods created the opportunity to study this genetic variation on a genome-wide level allowing detection of genome regions divergently selected between separate breeds as well as among different horse types sharing similar phenotypic features. In this study, we used the population differentiation index (FST) that is generally used for measuring locus-specific allele frequencies variation between populations, to detect selection signatures among six horse breeds maintained in Poland. These breeds can be classified into three major categories, including light, draft and primitive horses, selected mainly in terms of type (utility), exterior, performance, size, coat color and appearance. The analysis of the most pronounced selection signals found in this study allowed us to detect several genomic regions and genes connected with processes potentially important for breed phenotypic differentiation and associated with energy homeostasis during physical effort, heart functioning, fertility, disease resistance and motor coordination. Our results also confirmed previously described association of loci on ECA3 (spanning LCORL and NCAPG genes) and ECA11 (spanning LASP1 gene) with the regulation of body size in our draft and primitive (small size) horses. The efficiency of the applied FST-based approach was also confirmed by the identification of a robust selection signal in the blue dun colored Polish Konik horses at the locus of TBX3 gene, which was previously shown to be responsible for dun coat color dilution in other horse breeds. FST-based method showed to be efficient in detection of diversifying selection signatures in the analyzed horse breeds. Especially pronounced signals were observed at the loci responsible for fixed breed-specific features. Several candidate genes under selection were proposed in this study for traits selected in separate breeds and horse types, however, further functional and comparative studies are needed to confirm and explain their effect on the observed genetic diversity of the horse breeds.
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Vevera J, Zarrei M, Hartmannová H, Jedličková I, Mušálková D, Přistoupilová A, Oliveriusová P, Trešlová H, Nosková L, Hodaňová K, Stránecký V, Jiřička V, Preiss M, Příhodová K, Šaligová J, Wei J, Woodbury-Smith M, Bleyer AJ, Scherer SW, Kmoch S. Rare copy number variation in extremely impulsively violent males. GENES BRAIN AND BEHAVIOR 2018; 18:e12536. [DOI: 10.1111/gbb.12536] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Revised: 10/29/2018] [Accepted: 10/29/2018] [Indexed: 12/14/2022]
Affiliation(s)
- Jan Vevera
- Department of Psychiatry; Faculty of Medicine and University Hospital in Pilsen, Charles University; Prague Czech Republic
- Department of Psychiatry, First Faculty of Medicine; Charles University and General University Hospital in Prague; Prague Czech Republic
- Institute for Postgraduate Medical Education; Prague Czech Republic
- Psychology Department; National Institute of Mental Health; Klecany Czech Republic
| | - Mehdi Zarrei
- The Centre for Applied Genomics and Program in Genetics and Genome Biology; The Hospital for Sick Children; Toronto Ontario Canada
| | - Hana Hartmannová
- Research Unit for Rare Diseases, Department of Pediatrics and Adolescent Medicine; First Faculty of Medicine, Charles University; Prague Czech Republic
| | - Ivana Jedličková
- Research Unit for Rare Diseases, Department of Pediatrics and Adolescent Medicine; First Faculty of Medicine, Charles University; Prague Czech Republic
| | - Dita Mušálková
- Research Unit for Rare Diseases, Department of Pediatrics and Adolescent Medicine; First Faculty of Medicine, Charles University; Prague Czech Republic
| | - Anna Přistoupilová
- Research Unit for Rare Diseases, Department of Pediatrics and Adolescent Medicine; First Faculty of Medicine, Charles University; Prague Czech Republic
| | - Petra Oliveriusová
- Research Unit for Rare Diseases, Department of Pediatrics and Adolescent Medicine; First Faculty of Medicine, Charles University; Prague Czech Republic
| | - Helena Trešlová
- Research Unit for Rare Diseases, Department of Pediatrics and Adolescent Medicine; First Faculty of Medicine, Charles University; Prague Czech Republic
| | - Lenka Nosková
- Research Unit for Rare Diseases, Department of Pediatrics and Adolescent Medicine; First Faculty of Medicine, Charles University; Prague Czech Republic
| | - Kateřina Hodaňová
- Research Unit for Rare Diseases, Department of Pediatrics and Adolescent Medicine; First Faculty of Medicine, Charles University; Prague Czech Republic
| | - Viktor Stránecký
- Research Unit for Rare Diseases, Department of Pediatrics and Adolescent Medicine; First Faculty of Medicine, Charles University; Prague Czech Republic
| | - Václav Jiřička
- Prison Service of the Czech Republic, Directorate General; Department of Psychology; Prague Czech Republic
| | - Marek Preiss
- Psychology Department; National Institute of Mental Health; Klecany Czech Republic
- Psychology Department; University of New York in Prague; Prague Czech Republic
| | - Kateřina Příhodová
- Psychology Department; National Institute of Mental Health; Klecany Czech Republic
| | - Jana Šaligová
- Children's Faculty Hospital; Department of Pediatrics and Adolescent Medicine; Kosice Slovakia
- Department of Pediatrics and Adolescent Medicine, Faculty of Medicine of Pavel Jozef Šafárik University Kosice; Kosice Slovakia
| | - John Wei
- The Centre for Applied Genomics and Program in Genetics and Genome Biology; The Hospital for Sick Children; Toronto Ontario Canada
| | - Marc Woodbury-Smith
- The Centre for Applied Genomics and Program in Genetics and Genome Biology; The Hospital for Sick Children; Toronto Ontario Canada
- Institute of Neuroscience, Newcastle University, Sir James Spence Institute, Royal Victoria Infirmary; Newcastle upon Tyne UK
| | - Anthony J. Bleyer
- Research Unit for Rare Diseases, Department of Pediatrics and Adolescent Medicine; First Faculty of Medicine, Charles University; Prague Czech Republic
- Section on Nephrology, Wake Forest School of Medicine; Medical Center Blvd.; Winston-Salem North Carolina USA
| | - Stephen W. Scherer
- The Centre for Applied Genomics and Program in Genetics and Genome Biology; The Hospital for Sick Children; Toronto Ontario Canada
- Department of Molecular Genetics and McLaughlin Centre; University of Toronto; Toronto Ontario Canada
| | - Stanislav Kmoch
- Research Unit for Rare Diseases, Department of Pediatrics and Adolescent Medicine; First Faculty of Medicine, Charles University; Prague Czech Republic
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35
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Yaku K, Okabe K, Nakagawa T. NAD metabolism: Implications in aging and longevity. Ageing Res Rev 2018; 47:1-17. [PMID: 29883761 DOI: 10.1016/j.arr.2018.05.006] [Citation(s) in RCA: 161] [Impact Index Per Article: 26.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Revised: 05/31/2018] [Accepted: 05/31/2018] [Indexed: 12/20/2022]
Abstract
Nicotinamide adenine dinucleotide (NAD) is an important co-factor involved in numerous physiological processes, including metabolism, post-translational protein modification, and DNA repair. In living organisms, a careful balance between NAD production and degradation serves to regulate NAD levels. Recently, a number of studies have demonstrated that NAD levels decrease with age, and the deterioration of NAD metabolism promotes several aging-associated diseases, including metabolic and neurodegenerative diseases and various cancers. Conversely, the upregulation of NAD metabolism, including dietary supplementation with NAD precursors, has been shown to prevent the decline of NAD and exhibits beneficial effects against aging and aging-associated diseases. In addition, many studies have demonstrated that genetic and/or nutritional activation of NAD metabolism can extend the lifespan of diverse organisms. Collectively, it is clear that NAD metabolism plays important roles in aging and longevity. In this review, we summarize the basic functions of the enzymes involved in NAD synthesis and degradation, as well as the outcomes of their dysregulation in various aging processes. In addition, a particular focus is given on the role of NAD metabolism in the longevity of various organisms, with a discussion of the remaining obstacles in this research field.
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Singh K, Lilleväli K, Gilbert SF, Bregin A, Narvik J, Jayaram M, Rahi M, Innos J, Kaasik A, Vasar E, Philips MA. The combined impact of IgLON family proteins Lsamp and Neurotrimin on developing neurons and behavioral profiles in mouse. Brain Res Bull 2018; 140:5-18. [PMID: 29605488 DOI: 10.1016/j.brainresbull.2018.03.013] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Revised: 02/26/2018] [Accepted: 03/23/2018] [Indexed: 12/13/2022]
Abstract
Cell surface neural adhesion proteins are critical components in the complex orchestration of cell proliferation, apoptosis, and neuritogenesis essential for proper brain construction and behavior. We focused on the impact of two plasticity-associated IgLON family neural adhesion molecules, Neurotrimin (Ntm) and Limbic system associated membrane protein (Lsamp), on mouse behavior and its underlying neural development. Phenotyping neurons derived from the hippocampi of Lsamp-/-, Ntm-/- and Lsamp-/-Ntm-/- mice was performed in parallel with behavioral testing. While the anatomy of mutant brains revealed no gross changes, the Ntm-/- hippocampal neurons exhibited premature sprouting of neurites and manifested accelerated neurite elongation and branching. We propose that Ntm exerts an inhibitory impact on neurite outgrowth, whereas Lsamp appears to be an enhancer of the said process as premature neuritogenesis in Ntm-/- neurons is apparent only in the presence of Lsamp. We also show interplay between Lsamp and Ntm in regulating tissue homeostasis: the impact of Ntm on cellular proliferation was dependent on Lsamp, and Lsamp appeared to be a positive regulator of apoptosis in the presence of Ntm. Behavioral phenotyping indicated test-specific interactions between Lsamp and Ntm. The phenotypes of single mutant lines, such as reduced swimming speed in Morris water maze and increased activity in the elevated plus maze, were magnified in Lsamp-/-Ntm-/- mice. Altogether, evidence both from behavioral experiments and cultured hippocampal cells show combined and differential interactions between Ntm and Lsamp in the formation of hippocampal circuits and behavioral profiles. We demonstrate that mutual interactions between IgLON molecules regulate the initiation of neurite sprouting at very early ages, and even cell-autonomously, independent of their regulation of cell-cell adhesion.
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Affiliation(s)
- Katyayani Singh
- Department of Physiology, Institute of Biomedicine and Translational Medicine, University of Tartu, 19 Ravila Street, 50411, Tartu, Estonia; Centre of Excellence in Genomics and Translational Medicine, University of Tartu, 19 Ravila Street, 50411, Tartu, Estonia
| | - Kersti Lilleväli
- Department of Physiology, Institute of Biomedicine and Translational Medicine, University of Tartu, 19 Ravila Street, 50411, Tartu, Estonia; Centre of Excellence in Genomics and Translational Medicine, University of Tartu, 19 Ravila Street, 50411, Tartu, Estonia
| | - Scott F Gilbert
- Department of Biology, Swarthmore College, Swarthmore, PA, USA
| | - Aleksandr Bregin
- Department of Physiology, Institute of Biomedicine and Translational Medicine, University of Tartu, 19 Ravila Street, 50411, Tartu, Estonia; Centre of Excellence in Genomics and Translational Medicine, University of Tartu, 19 Ravila Street, 50411, Tartu, Estonia
| | - Jane Narvik
- Department of Physiology, Institute of Biomedicine and Translational Medicine, University of Tartu, 19 Ravila Street, 50411, Tartu, Estonia; Centre of Excellence in Genomics and Translational Medicine, University of Tartu, 19 Ravila Street, 50411, Tartu, Estonia
| | - Mohan Jayaram
- Department of Physiology, Institute of Biomedicine and Translational Medicine, University of Tartu, 19 Ravila Street, 50411, Tartu, Estonia; Centre of Excellence in Genomics and Translational Medicine, University of Tartu, 19 Ravila Street, 50411, Tartu, Estonia
| | - Märt Rahi
- Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Fr.R. Kreutzwaldi 5, 51014, Tartu, Estonia
| | - Jürgen Innos
- Department of Physiology, Institute of Biomedicine and Translational Medicine, University of Tartu, 19 Ravila Street, 50411, Tartu, Estonia; Centre of Excellence in Genomics and Translational Medicine, University of Tartu, 19 Ravila Street, 50411, Tartu, Estonia
| | - Allen Kaasik
- Department of Pharmacology, Institute of Biomedicine and Translational Medicine, University of Tartu, 19 Ravila Street, 50411, Tartu, Estonia
| | - Eero Vasar
- Department of Physiology, Institute of Biomedicine and Translational Medicine, University of Tartu, 19 Ravila Street, 50411, Tartu, Estonia; Centre of Excellence in Genomics and Translational Medicine, University of Tartu, 19 Ravila Street, 50411, Tartu, Estonia
| | - Mari-Anne Philips
- Department of Physiology, Institute of Biomedicine and Translational Medicine, University of Tartu, 19 Ravila Street, 50411, Tartu, Estonia; Centre of Excellence in Genomics and Translational Medicine, University of Tartu, 19 Ravila Street, 50411, Tartu, Estonia.
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37
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Genetic Risk Factors for Complex Forms of Alzheimer’s Disease. NEURODEGENER DIS 2018. [DOI: 10.1007/978-3-319-72938-1_4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022] Open
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38
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Tan RPA, Leshchyns'ka I, Sytnyk V. Glycosylphosphatidylinositol-Anchored Immunoglobulin Superfamily Cell Adhesion Molecules and Their Role in Neuronal Development and Synapse Regulation. Front Mol Neurosci 2017; 10:378. [PMID: 29249937 PMCID: PMC5715320 DOI: 10.3389/fnmol.2017.00378] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Accepted: 10/30/2017] [Indexed: 01/01/2023] Open
Abstract
Immunoglobulin superfamily (IgSF) cell adhesion molecules (CAMs) are cell surface glycoproteins that not only mediate interactions between neurons but also between neurons and other cells in the nervous system. While typical IgSF CAMs are transmembrane molecules, this superfamily also includes CAMs, which do not possess transmembrane and intracellular domains and are instead attached to the plasma membrane via a glycosylphosphatidylinositol (GPI) anchor. In this review, we focus on the role GPI-anchored IgSF CAMs have as signal transducers and ligands in neurons, and discuss their functions in regulation of neuronal development, synapse formation, synaptic plasticity, learning, and behavior. We also review the links between GPI-anchored IgSF CAMs and brain disorders.
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Affiliation(s)
- Rui P A Tan
- School of Biotechnology and Biomolecular Sciences, The University of New South Wales, Sydney, NSW, Australia
| | - Iryna Leshchyns'ka
- School of Biotechnology and Biomolecular Sciences, The University of New South Wales, Sydney, NSW, Australia
| | - Vladimir Sytnyk
- School of Biotechnology and Biomolecular Sciences, The University of New South Wales, Sydney, NSW, Australia
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39
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Beecham GW, Bis JC, Martin ER, Choi SH, DeStefano AL, van Duijn CM, Fornage M, Gabriel SB, Koboldt DC, Larson DE, Naj AC, Psaty BM, Salerno W, Bush WS, Foroud TM, Wijsman E, Farrer LA, Goate A, Haines JL, Pericak-Vance MA, Boerwinkle E, Mayeux R, Seshadri S, Schellenberg G. The Alzheimer's Disease Sequencing Project: Study design and sample selection. NEUROLOGY-GENETICS 2017; 3:e194. [PMID: 29184913 PMCID: PMC5646177 DOI: 10.1212/nxg.0000000000000194] [Citation(s) in RCA: 108] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/01/2017] [Accepted: 08/17/2017] [Indexed: 11/25/2022]
Affiliation(s)
- Gary W Beecham
- John P. Hussman Institute for Human Genomics (G.W.B., E.R.M., M.A.P.-V.) and Dr. John T. Macdonald Foundation Department of Human Genetics (G.W.B., E.R.M., M.A.P.-V.), Miller School of Medicine, University of Miami, FL; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, Health Services, Department of Biostatistics (E.W.), and Division of Medical Genetics (E.W.), Department of Medicine, University of Washington, Seattle; Department of Biostatistics (S.-H.C., A.D., L.A.F.), Boston University School of Public Health, MA; The Framingham Heart Study (A.D., S.S.), MA; Department of Neurology (A.D., L.A.F., S.S.), Boston University School of Medicine, MA; Department of Epidemiology (C.M.v.D), Erasmus MC, Rotterdam, Netherlands; Brown Foundation Institute of Molecular Medicine (M.F.) and Human Genetics Center (M.F.), University of Texas Health Science Center, Houston; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology (S.B.G.), Cambridge; Harvard University (S.B.G.), Cambridge, MA; The McDonnell Genome Institute (D.C.K., D.E.L.) and Department of Genetics (D.E.L.), Washington University, St. Louis, MO; Department of Biostatistics and Epidemiology (A.C.N.) and Perelman School of Medicine (G.S.), University of Pennsylvania, Philadelphia; Group Health Research Institute (B.M.P.), Group Health Cooperative, Seattle, WA; Human Genome Sequencing Center (W.S., E.B.), Baylor College of Medicine, Houston, TX; Department of Epidemiology and Biostatistics (W.S.B., J.L.H.), Case Western Reserve University, Cleveland, OH; Department of Medical and Molecular Genetics (T.M.F.), Indiana University School of Medicine, Indianapolis; Department of Medicine (Biomedical Genetics) (L.A.F.), Department of Ophthalmology (L.A.F.), and Department of Epidemiology (L.A.F.), Boston University School of Medicine and Public Health, MA; Department of Neuroscience (A.G.), Icahn School of Medicine at Mount Sinai, New York, NY; Human Genetics Center (E.B.), UT Health School of Public Health, Houston, TX; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (R.M.) and Gertrude H. Sergievsky Center (R.M.), Columbia University Medical Center, New York, NY; Department of Neurology (R.M.), Columbia University Medical Center and New York Presbyterian Hospital, NY; and Department of Epidemiology (R.M.), Mailman School of Public Health, Columbia University, New York, NY
| | - J C Bis
- John P. Hussman Institute for Human Genomics (G.W.B., E.R.M., M.A.P.-V.) and Dr. John T. Macdonald Foundation Department of Human Genetics (G.W.B., E.R.M., M.A.P.-V.), Miller School of Medicine, University of Miami, FL; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, Health Services, Department of Biostatistics (E.W.), and Division of Medical Genetics (E.W.), Department of Medicine, University of Washington, Seattle; Department of Biostatistics (S.-H.C., A.D., L.A.F.), Boston University School of Public Health, MA; The Framingham Heart Study (A.D., S.S.), MA; Department of Neurology (A.D., L.A.F., S.S.), Boston University School of Medicine, MA; Department of Epidemiology (C.M.v.D), Erasmus MC, Rotterdam, Netherlands; Brown Foundation Institute of Molecular Medicine (M.F.) and Human Genetics Center (M.F.), University of Texas Health Science Center, Houston; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology (S.B.G.), Cambridge; Harvard University (S.B.G.), Cambridge, MA; The McDonnell Genome Institute (D.C.K., D.E.L.) and Department of Genetics (D.E.L.), Washington University, St. Louis, MO; Department of Biostatistics and Epidemiology (A.C.N.) and Perelman School of Medicine (G.S.), University of Pennsylvania, Philadelphia; Group Health Research Institute (B.M.P.), Group Health Cooperative, Seattle, WA; Human Genome Sequencing Center (W.S., E.B.), Baylor College of Medicine, Houston, TX; Department of Epidemiology and Biostatistics (W.S.B., J.L.H.), Case Western Reserve University, Cleveland, OH; Department of Medical and Molecular Genetics (T.M.F.), Indiana University School of Medicine, Indianapolis; Department of Medicine (Biomedical Genetics) (L.A.F.), Department of Ophthalmology (L.A.F.), and Department of Epidemiology (L.A.F.), Boston University School of Medicine and Public Health, MA; Department of Neuroscience (A.G.), Icahn School of Medicine at Mount Sinai, New York, NY; Human Genetics Center (E.B.), UT Health School of Public Health, Houston, TX; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (R.M.) and Gertrude H. Sergievsky Center (R.M.), Columbia University Medical Center, New York, NY; Department of Neurology (R.M.), Columbia University Medical Center and New York Presbyterian Hospital, NY; and Department of Epidemiology (R.M.), Mailman School of Public Health, Columbia University, New York, NY
| | - E R Martin
- John P. Hussman Institute for Human Genomics (G.W.B., E.R.M., M.A.P.-V.) and Dr. John T. Macdonald Foundation Department of Human Genetics (G.W.B., E.R.M., M.A.P.-V.), Miller School of Medicine, University of Miami, FL; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, Health Services, Department of Biostatistics (E.W.), and Division of Medical Genetics (E.W.), Department of Medicine, University of Washington, Seattle; Department of Biostatistics (S.-H.C., A.D., L.A.F.), Boston University School of Public Health, MA; The Framingham Heart Study (A.D., S.S.), MA; Department of Neurology (A.D., L.A.F., S.S.), Boston University School of Medicine, MA; Department of Epidemiology (C.M.v.D), Erasmus MC, Rotterdam, Netherlands; Brown Foundation Institute of Molecular Medicine (M.F.) and Human Genetics Center (M.F.), University of Texas Health Science Center, Houston; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology (S.B.G.), Cambridge; Harvard University (S.B.G.), Cambridge, MA; The McDonnell Genome Institute (D.C.K., D.E.L.) and Department of Genetics (D.E.L.), Washington University, St. Louis, MO; Department of Biostatistics and Epidemiology (A.C.N.) and Perelman School of Medicine (G.S.), University of Pennsylvania, Philadelphia; Group Health Research Institute (B.M.P.), Group Health Cooperative, Seattle, WA; Human Genome Sequencing Center (W.S., E.B.), Baylor College of Medicine, Houston, TX; Department of Epidemiology and Biostatistics (W.S.B., J.L.H.), Case Western Reserve University, Cleveland, OH; Department of Medical and Molecular Genetics (T.M.F.), Indiana University School of Medicine, Indianapolis; Department of Medicine (Biomedical Genetics) (L.A.F.), Department of Ophthalmology (L.A.F.), and Department of Epidemiology (L.A.F.), Boston University School of Medicine and Public Health, MA; Department of Neuroscience (A.G.), Icahn School of Medicine at Mount Sinai, New York, NY; Human Genetics Center (E.B.), UT Health School of Public Health, Houston, TX; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (R.M.) and Gertrude H. Sergievsky Center (R.M.), Columbia University Medical Center, New York, NY; Department of Neurology (R.M.), Columbia University Medical Center and New York Presbyterian Hospital, NY; and Department of Epidemiology (R.M.), Mailman School of Public Health, Columbia University, New York, NY
| | - S-H Choi
- John P. Hussman Institute for Human Genomics (G.W.B., E.R.M., M.A.P.-V.) and Dr. John T. Macdonald Foundation Department of Human Genetics (G.W.B., E.R.M., M.A.P.-V.), Miller School of Medicine, University of Miami, FL; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, Health Services, Department of Biostatistics (E.W.), and Division of Medical Genetics (E.W.), Department of Medicine, University of Washington, Seattle; Department of Biostatistics (S.-H.C., A.D., L.A.F.), Boston University School of Public Health, MA; The Framingham Heart Study (A.D., S.S.), MA; Department of Neurology (A.D., L.A.F., S.S.), Boston University School of Medicine, MA; Department of Epidemiology (C.M.v.D), Erasmus MC, Rotterdam, Netherlands; Brown Foundation Institute of Molecular Medicine (M.F.) and Human Genetics Center (M.F.), University of Texas Health Science Center, Houston; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology (S.B.G.), Cambridge; Harvard University (S.B.G.), Cambridge, MA; The McDonnell Genome Institute (D.C.K., D.E.L.) and Department of Genetics (D.E.L.), Washington University, St. Louis, MO; Department of Biostatistics and Epidemiology (A.C.N.) and Perelman School of Medicine (G.S.), University of Pennsylvania, Philadelphia; Group Health Research Institute (B.M.P.), Group Health Cooperative, Seattle, WA; Human Genome Sequencing Center (W.S., E.B.), Baylor College of Medicine, Houston, TX; Department of Epidemiology and Biostatistics (W.S.B., J.L.H.), Case Western Reserve University, Cleveland, OH; Department of Medical and Molecular Genetics (T.M.F.), Indiana University School of Medicine, Indianapolis; Department of Medicine (Biomedical Genetics) (L.A.F.), Department of Ophthalmology (L.A.F.), and Department of Epidemiology (L.A.F.), Boston University School of Medicine and Public Health, MA; Department of Neuroscience (A.G.), Icahn School of Medicine at Mount Sinai, New York, NY; Human Genetics Center (E.B.), UT Health School of Public Health, Houston, TX; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (R.M.) and Gertrude H. Sergievsky Center (R.M.), Columbia University Medical Center, New York, NY; Department of Neurology (R.M.), Columbia University Medical Center and New York Presbyterian Hospital, NY; and Department of Epidemiology (R.M.), Mailman School of Public Health, Columbia University, New York, NY
| | - A L DeStefano
- John P. Hussman Institute for Human Genomics (G.W.B., E.R.M., M.A.P.-V.) and Dr. John T. Macdonald Foundation Department of Human Genetics (G.W.B., E.R.M., M.A.P.-V.), Miller School of Medicine, University of Miami, FL; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, Health Services, Department of Biostatistics (E.W.), and Division of Medical Genetics (E.W.), Department of Medicine, University of Washington, Seattle; Department of Biostatistics (S.-H.C., A.D., L.A.F.), Boston University School of Public Health, MA; The Framingham Heart Study (A.D., S.S.), MA; Department of Neurology (A.D., L.A.F., S.S.), Boston University School of Medicine, MA; Department of Epidemiology (C.M.v.D), Erasmus MC, Rotterdam, Netherlands; Brown Foundation Institute of Molecular Medicine (M.F.) and Human Genetics Center (M.F.), University of Texas Health Science Center, Houston; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology (S.B.G.), Cambridge; Harvard University (S.B.G.), Cambridge, MA; The McDonnell Genome Institute (D.C.K., D.E.L.) and Department of Genetics (D.E.L.), Washington University, St. Louis, MO; Department of Biostatistics and Epidemiology (A.C.N.) and Perelman School of Medicine (G.S.), University of Pennsylvania, Philadelphia; Group Health Research Institute (B.M.P.), Group Health Cooperative, Seattle, WA; Human Genome Sequencing Center (W.S., E.B.), Baylor College of Medicine, Houston, TX; Department of Epidemiology and Biostatistics (W.S.B., J.L.H.), Case Western Reserve University, Cleveland, OH; Department of Medical and Molecular Genetics (T.M.F.), Indiana University School of Medicine, Indianapolis; Department of Medicine (Biomedical Genetics) (L.A.F.), Department of Ophthalmology (L.A.F.), and Department of Epidemiology (L.A.F.), Boston University School of Medicine and Public Health, MA; Department of Neuroscience (A.G.), Icahn School of Medicine at Mount Sinai, New York, NY; Human Genetics Center (E.B.), UT Health School of Public Health, Houston, TX; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (R.M.) and Gertrude H. Sergievsky Center (R.M.), Columbia University Medical Center, New York, NY; Department of Neurology (R.M.), Columbia University Medical Center and New York Presbyterian Hospital, NY; and Department of Epidemiology (R.M.), Mailman School of Public Health, Columbia University, New York, NY
| | - C M van Duijn
- John P. Hussman Institute for Human Genomics (G.W.B., E.R.M., M.A.P.-V.) and Dr. John T. Macdonald Foundation Department of Human Genetics (G.W.B., E.R.M., M.A.P.-V.), Miller School of Medicine, University of Miami, FL; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, Health Services, Department of Biostatistics (E.W.), and Division of Medical Genetics (E.W.), Department of Medicine, University of Washington, Seattle; Department of Biostatistics (S.-H.C., A.D., L.A.F.), Boston University School of Public Health, MA; The Framingham Heart Study (A.D., S.S.), MA; Department of Neurology (A.D., L.A.F., S.S.), Boston University School of Medicine, MA; Department of Epidemiology (C.M.v.D), Erasmus MC, Rotterdam, Netherlands; Brown Foundation Institute of Molecular Medicine (M.F.) and Human Genetics Center (M.F.), University of Texas Health Science Center, Houston; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology (S.B.G.), Cambridge; Harvard University (S.B.G.), Cambridge, MA; The McDonnell Genome Institute (D.C.K., D.E.L.) and Department of Genetics (D.E.L.), Washington University, St. Louis, MO; Department of Biostatistics and Epidemiology (A.C.N.) and Perelman School of Medicine (G.S.), University of Pennsylvania, Philadelphia; Group Health Research Institute (B.M.P.), Group Health Cooperative, Seattle, WA; Human Genome Sequencing Center (W.S., E.B.), Baylor College of Medicine, Houston, TX; Department of Epidemiology and Biostatistics (W.S.B., J.L.H.), Case Western Reserve University, Cleveland, OH; Department of Medical and Molecular Genetics (T.M.F.), Indiana University School of Medicine, Indianapolis; Department of Medicine (Biomedical Genetics) (L.A.F.), Department of Ophthalmology (L.A.F.), and Department of Epidemiology (L.A.F.), Boston University School of Medicine and Public Health, MA; Department of Neuroscience (A.G.), Icahn School of Medicine at Mount Sinai, New York, NY; Human Genetics Center (E.B.), UT Health School of Public Health, Houston, TX; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (R.M.) and Gertrude H. Sergievsky Center (R.M.), Columbia University Medical Center, New York, NY; Department of Neurology (R.M.), Columbia University Medical Center and New York Presbyterian Hospital, NY; and Department of Epidemiology (R.M.), Mailman School of Public Health, Columbia University, New York, NY
| | - M Fornage
- John P. Hussman Institute for Human Genomics (G.W.B., E.R.M., M.A.P.-V.) and Dr. John T. Macdonald Foundation Department of Human Genetics (G.W.B., E.R.M., M.A.P.-V.), Miller School of Medicine, University of Miami, FL; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, Health Services, Department of Biostatistics (E.W.), and Division of Medical Genetics (E.W.), Department of Medicine, University of Washington, Seattle; Department of Biostatistics (S.-H.C., A.D., L.A.F.), Boston University School of Public Health, MA; The Framingham Heart Study (A.D., S.S.), MA; Department of Neurology (A.D., L.A.F., S.S.), Boston University School of Medicine, MA; Department of Epidemiology (C.M.v.D), Erasmus MC, Rotterdam, Netherlands; Brown Foundation Institute of Molecular Medicine (M.F.) and Human Genetics Center (M.F.), University of Texas Health Science Center, Houston; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology (S.B.G.), Cambridge; Harvard University (S.B.G.), Cambridge, MA; The McDonnell Genome Institute (D.C.K., D.E.L.) and Department of Genetics (D.E.L.), Washington University, St. Louis, MO; Department of Biostatistics and Epidemiology (A.C.N.) and Perelman School of Medicine (G.S.), University of Pennsylvania, Philadelphia; Group Health Research Institute (B.M.P.), Group Health Cooperative, Seattle, WA; Human Genome Sequencing Center (W.S., E.B.), Baylor College of Medicine, Houston, TX; Department of Epidemiology and Biostatistics (W.S.B., J.L.H.), Case Western Reserve University, Cleveland, OH; Department of Medical and Molecular Genetics (T.M.F.), Indiana University School of Medicine, Indianapolis; Department of Medicine (Biomedical Genetics) (L.A.F.), Department of Ophthalmology (L.A.F.), and Department of Epidemiology (L.A.F.), Boston University School of Medicine and Public Health, MA; Department of Neuroscience (A.G.), Icahn School of Medicine at Mount Sinai, New York, NY; Human Genetics Center (E.B.), UT Health School of Public Health, Houston, TX; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (R.M.) and Gertrude H. Sergievsky Center (R.M.), Columbia University Medical Center, New York, NY; Department of Neurology (R.M.), Columbia University Medical Center and New York Presbyterian Hospital, NY; and Department of Epidemiology (R.M.), Mailman School of Public Health, Columbia University, New York, NY
| | - S B Gabriel
- John P. Hussman Institute for Human Genomics (G.W.B., E.R.M., M.A.P.-V.) and Dr. John T. Macdonald Foundation Department of Human Genetics (G.W.B., E.R.M., M.A.P.-V.), Miller School of Medicine, University of Miami, FL; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, Health Services, Department of Biostatistics (E.W.), and Division of Medical Genetics (E.W.), Department of Medicine, University of Washington, Seattle; Department of Biostatistics (S.-H.C., A.D., L.A.F.), Boston University School of Public Health, MA; The Framingham Heart Study (A.D., S.S.), MA; Department of Neurology (A.D., L.A.F., S.S.), Boston University School of Medicine, MA; Department of Epidemiology (C.M.v.D), Erasmus MC, Rotterdam, Netherlands; Brown Foundation Institute of Molecular Medicine (M.F.) and Human Genetics Center (M.F.), University of Texas Health Science Center, Houston; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology (S.B.G.), Cambridge; Harvard University (S.B.G.), Cambridge, MA; The McDonnell Genome Institute (D.C.K., D.E.L.) and Department of Genetics (D.E.L.), Washington University, St. Louis, MO; Department of Biostatistics and Epidemiology (A.C.N.) and Perelman School of Medicine (G.S.), University of Pennsylvania, Philadelphia; Group Health Research Institute (B.M.P.), Group Health Cooperative, Seattle, WA; Human Genome Sequencing Center (W.S., E.B.), Baylor College of Medicine, Houston, TX; Department of Epidemiology and Biostatistics (W.S.B., J.L.H.), Case Western Reserve University, Cleveland, OH; Department of Medical and Molecular Genetics (T.M.F.), Indiana University School of Medicine, Indianapolis; Department of Medicine (Biomedical Genetics) (L.A.F.), Department of Ophthalmology (L.A.F.), and Department of Epidemiology (L.A.F.), Boston University School of Medicine and Public Health, MA; Department of Neuroscience (A.G.), Icahn School of Medicine at Mount Sinai, New York, NY; Human Genetics Center (E.B.), UT Health School of Public Health, Houston, TX; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (R.M.) and Gertrude H. Sergievsky Center (R.M.), Columbia University Medical Center, New York, NY; Department of Neurology (R.M.), Columbia University Medical Center and New York Presbyterian Hospital, NY; and Department of Epidemiology (R.M.), Mailman School of Public Health, Columbia University, New York, NY
| | - D C Koboldt
- John P. Hussman Institute for Human Genomics (G.W.B., E.R.M., M.A.P.-V.) and Dr. John T. Macdonald Foundation Department of Human Genetics (G.W.B., E.R.M., M.A.P.-V.), Miller School of Medicine, University of Miami, FL; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, Health Services, Department of Biostatistics (E.W.), and Division of Medical Genetics (E.W.), Department of Medicine, University of Washington, Seattle; Department of Biostatistics (S.-H.C., A.D., L.A.F.), Boston University School of Public Health, MA; The Framingham Heart Study (A.D., S.S.), MA; Department of Neurology (A.D., L.A.F., S.S.), Boston University School of Medicine, MA; Department of Epidemiology (C.M.v.D), Erasmus MC, Rotterdam, Netherlands; Brown Foundation Institute of Molecular Medicine (M.F.) and Human Genetics Center (M.F.), University of Texas Health Science Center, Houston; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology (S.B.G.), Cambridge; Harvard University (S.B.G.), Cambridge, MA; The McDonnell Genome Institute (D.C.K., D.E.L.) and Department of Genetics (D.E.L.), Washington University, St. Louis, MO; Department of Biostatistics and Epidemiology (A.C.N.) and Perelman School of Medicine (G.S.), University of Pennsylvania, Philadelphia; Group Health Research Institute (B.M.P.), Group Health Cooperative, Seattle, WA; Human Genome Sequencing Center (W.S., E.B.), Baylor College of Medicine, Houston, TX; Department of Epidemiology and Biostatistics (W.S.B., J.L.H.), Case Western Reserve University, Cleveland, OH; Department of Medical and Molecular Genetics (T.M.F.), Indiana University School of Medicine, Indianapolis; Department of Medicine (Biomedical Genetics) (L.A.F.), Department of Ophthalmology (L.A.F.), and Department of Epidemiology (L.A.F.), Boston University School of Medicine and Public Health, MA; Department of Neuroscience (A.G.), Icahn School of Medicine at Mount Sinai, New York, NY; Human Genetics Center (E.B.), UT Health School of Public Health, Houston, TX; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (R.M.) and Gertrude H. Sergievsky Center (R.M.), Columbia University Medical Center, New York, NY; Department of Neurology (R.M.), Columbia University Medical Center and New York Presbyterian Hospital, NY; and Department of Epidemiology (R.M.), Mailman School of Public Health, Columbia University, New York, NY
| | - D E Larson
- John P. Hussman Institute for Human Genomics (G.W.B., E.R.M., M.A.P.-V.) and Dr. John T. Macdonald Foundation Department of Human Genetics (G.W.B., E.R.M., M.A.P.-V.), Miller School of Medicine, University of Miami, FL; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, Health Services, Department of Biostatistics (E.W.), and Division of Medical Genetics (E.W.), Department of Medicine, University of Washington, Seattle; Department of Biostatistics (S.-H.C., A.D., L.A.F.), Boston University School of Public Health, MA; The Framingham Heart Study (A.D., S.S.), MA; Department of Neurology (A.D., L.A.F., S.S.), Boston University School of Medicine, MA; Department of Epidemiology (C.M.v.D), Erasmus MC, Rotterdam, Netherlands; Brown Foundation Institute of Molecular Medicine (M.F.) and Human Genetics Center (M.F.), University of Texas Health Science Center, Houston; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology (S.B.G.), Cambridge; Harvard University (S.B.G.), Cambridge, MA; The McDonnell Genome Institute (D.C.K., D.E.L.) and Department of Genetics (D.E.L.), Washington University, St. Louis, MO; Department of Biostatistics and Epidemiology (A.C.N.) and Perelman School of Medicine (G.S.), University of Pennsylvania, Philadelphia; Group Health Research Institute (B.M.P.), Group Health Cooperative, Seattle, WA; Human Genome Sequencing Center (W.S., E.B.), Baylor College of Medicine, Houston, TX; Department of Epidemiology and Biostatistics (W.S.B., J.L.H.), Case Western Reserve University, Cleveland, OH; Department of Medical and Molecular Genetics (T.M.F.), Indiana University School of Medicine, Indianapolis; Department of Medicine (Biomedical Genetics) (L.A.F.), Department of Ophthalmology (L.A.F.), and Department of Epidemiology (L.A.F.), Boston University School of Medicine and Public Health, MA; Department of Neuroscience (A.G.), Icahn School of Medicine at Mount Sinai, New York, NY; Human Genetics Center (E.B.), UT Health School of Public Health, Houston, TX; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (R.M.) and Gertrude H. Sergievsky Center (R.M.), Columbia University Medical Center, New York, NY; Department of Neurology (R.M.), Columbia University Medical Center and New York Presbyterian Hospital, NY; and Department of Epidemiology (R.M.), Mailman School of Public Health, Columbia University, New York, NY
| | - A C Naj
- John P. Hussman Institute for Human Genomics (G.W.B., E.R.M., M.A.P.-V.) and Dr. John T. Macdonald Foundation Department of Human Genetics (G.W.B., E.R.M., M.A.P.-V.), Miller School of Medicine, University of Miami, FL; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, Health Services, Department of Biostatistics (E.W.), and Division of Medical Genetics (E.W.), Department of Medicine, University of Washington, Seattle; Department of Biostatistics (S.-H.C., A.D., L.A.F.), Boston University School of Public Health, MA; The Framingham Heart Study (A.D., S.S.), MA; Department of Neurology (A.D., L.A.F., S.S.), Boston University School of Medicine, MA; Department of Epidemiology (C.M.v.D), Erasmus MC, Rotterdam, Netherlands; Brown Foundation Institute of Molecular Medicine (M.F.) and Human Genetics Center (M.F.), University of Texas Health Science Center, Houston; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology (S.B.G.), Cambridge; Harvard University (S.B.G.), Cambridge, MA; The McDonnell Genome Institute (D.C.K., D.E.L.) and Department of Genetics (D.E.L.), Washington University, St. Louis, MO; Department of Biostatistics and Epidemiology (A.C.N.) and Perelman School of Medicine (G.S.), University of Pennsylvania, Philadelphia; Group Health Research Institute (B.M.P.), Group Health Cooperative, Seattle, WA; Human Genome Sequencing Center (W.S., E.B.), Baylor College of Medicine, Houston, TX; Department of Epidemiology and Biostatistics (W.S.B., J.L.H.), Case Western Reserve University, Cleveland, OH; Department of Medical and Molecular Genetics (T.M.F.), Indiana University School of Medicine, Indianapolis; Department of Medicine (Biomedical Genetics) (L.A.F.), Department of Ophthalmology (L.A.F.), and Department of Epidemiology (L.A.F.), Boston University School of Medicine and Public Health, MA; Department of Neuroscience (A.G.), Icahn School of Medicine at Mount Sinai, New York, NY; Human Genetics Center (E.B.), UT Health School of Public Health, Houston, TX; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (R.M.) and Gertrude H. Sergievsky Center (R.M.), Columbia University Medical Center, New York, NY; Department of Neurology (R.M.), Columbia University Medical Center and New York Presbyterian Hospital, NY; and Department of Epidemiology (R.M.), Mailman School of Public Health, Columbia University, New York, NY
| | - B M Psaty
- John P. Hussman Institute for Human Genomics (G.W.B., E.R.M., M.A.P.-V.) and Dr. John T. Macdonald Foundation Department of Human Genetics (G.W.B., E.R.M., M.A.P.-V.), Miller School of Medicine, University of Miami, FL; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, Health Services, Department of Biostatistics (E.W.), and Division of Medical Genetics (E.W.), Department of Medicine, University of Washington, Seattle; Department of Biostatistics (S.-H.C., A.D., L.A.F.), Boston University School of Public Health, MA; The Framingham Heart Study (A.D., S.S.), MA; Department of Neurology (A.D., L.A.F., S.S.), Boston University School of Medicine, MA; Department of Epidemiology (C.M.v.D), Erasmus MC, Rotterdam, Netherlands; Brown Foundation Institute of Molecular Medicine (M.F.) and Human Genetics Center (M.F.), University of Texas Health Science Center, Houston; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology (S.B.G.), Cambridge; Harvard University (S.B.G.), Cambridge, MA; The McDonnell Genome Institute (D.C.K., D.E.L.) and Department of Genetics (D.E.L.), Washington University, St. Louis, MO; Department of Biostatistics and Epidemiology (A.C.N.) and Perelman School of Medicine (G.S.), University of Pennsylvania, Philadelphia; Group Health Research Institute (B.M.P.), Group Health Cooperative, Seattle, WA; Human Genome Sequencing Center (W.S., E.B.), Baylor College of Medicine, Houston, TX; Department of Epidemiology and Biostatistics (W.S.B., J.L.H.), Case Western Reserve University, Cleveland, OH; Department of Medical and Molecular Genetics (T.M.F.), Indiana University School of Medicine, Indianapolis; Department of Medicine (Biomedical Genetics) (L.A.F.), Department of Ophthalmology (L.A.F.), and Department of Epidemiology (L.A.F.), Boston University School of Medicine and Public Health, MA; Department of Neuroscience (A.G.), Icahn School of Medicine at Mount Sinai, New York, NY; Human Genetics Center (E.B.), UT Health School of Public Health, Houston, TX; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (R.M.) and Gertrude H. Sergievsky Center (R.M.), Columbia University Medical Center, New York, NY; Department of Neurology (R.M.), Columbia University Medical Center and New York Presbyterian Hospital, NY; and Department of Epidemiology (R.M.), Mailman School of Public Health, Columbia University, New York, NY
| | - W Salerno
- John P. Hussman Institute for Human Genomics (G.W.B., E.R.M., M.A.P.-V.) and Dr. John T. Macdonald Foundation Department of Human Genetics (G.W.B., E.R.M., M.A.P.-V.), Miller School of Medicine, University of Miami, FL; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, Health Services, Department of Biostatistics (E.W.), and Division of Medical Genetics (E.W.), Department of Medicine, University of Washington, Seattle; Department of Biostatistics (S.-H.C., A.D., L.A.F.), Boston University School of Public Health, MA; The Framingham Heart Study (A.D., S.S.), MA; Department of Neurology (A.D., L.A.F., S.S.), Boston University School of Medicine, MA; Department of Epidemiology (C.M.v.D), Erasmus MC, Rotterdam, Netherlands; Brown Foundation Institute of Molecular Medicine (M.F.) and Human Genetics Center (M.F.), University of Texas Health Science Center, Houston; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology (S.B.G.), Cambridge; Harvard University (S.B.G.), Cambridge, MA; The McDonnell Genome Institute (D.C.K., D.E.L.) and Department of Genetics (D.E.L.), Washington University, St. Louis, MO; Department of Biostatistics and Epidemiology (A.C.N.) and Perelman School of Medicine (G.S.), University of Pennsylvania, Philadelphia; Group Health Research Institute (B.M.P.), Group Health Cooperative, Seattle, WA; Human Genome Sequencing Center (W.S., E.B.), Baylor College of Medicine, Houston, TX; Department of Epidemiology and Biostatistics (W.S.B., J.L.H.), Case Western Reserve University, Cleveland, OH; Department of Medical and Molecular Genetics (T.M.F.), Indiana University School of Medicine, Indianapolis; Department of Medicine (Biomedical Genetics) (L.A.F.), Department of Ophthalmology (L.A.F.), and Department of Epidemiology (L.A.F.), Boston University School of Medicine and Public Health, MA; Department of Neuroscience (A.G.), Icahn School of Medicine at Mount Sinai, New York, NY; Human Genetics Center (E.B.), UT Health School of Public Health, Houston, TX; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (R.M.) and Gertrude H. Sergievsky Center (R.M.), Columbia University Medical Center, New York, NY; Department of Neurology (R.M.), Columbia University Medical Center and New York Presbyterian Hospital, NY; and Department of Epidemiology (R.M.), Mailman School of Public Health, Columbia University, New York, NY
| | - W S Bush
- John P. Hussman Institute for Human Genomics (G.W.B., E.R.M., M.A.P.-V.) and Dr. John T. Macdonald Foundation Department of Human Genetics (G.W.B., E.R.M., M.A.P.-V.), Miller School of Medicine, University of Miami, FL; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, Health Services, Department of Biostatistics (E.W.), and Division of Medical Genetics (E.W.), Department of Medicine, University of Washington, Seattle; Department of Biostatistics (S.-H.C., A.D., L.A.F.), Boston University School of Public Health, MA; The Framingham Heart Study (A.D., S.S.), MA; Department of Neurology (A.D., L.A.F., S.S.), Boston University School of Medicine, MA; Department of Epidemiology (C.M.v.D), Erasmus MC, Rotterdam, Netherlands; Brown Foundation Institute of Molecular Medicine (M.F.) and Human Genetics Center (M.F.), University of Texas Health Science Center, Houston; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology (S.B.G.), Cambridge; Harvard University (S.B.G.), Cambridge, MA; The McDonnell Genome Institute (D.C.K., D.E.L.) and Department of Genetics (D.E.L.), Washington University, St. Louis, MO; Department of Biostatistics and Epidemiology (A.C.N.) and Perelman School of Medicine (G.S.), University of Pennsylvania, Philadelphia; Group Health Research Institute (B.M.P.), Group Health Cooperative, Seattle, WA; Human Genome Sequencing Center (W.S., E.B.), Baylor College of Medicine, Houston, TX; Department of Epidemiology and Biostatistics (W.S.B., J.L.H.), Case Western Reserve University, Cleveland, OH; Department of Medical and Molecular Genetics (T.M.F.), Indiana University School of Medicine, Indianapolis; Department of Medicine (Biomedical Genetics) (L.A.F.), Department of Ophthalmology (L.A.F.), and Department of Epidemiology (L.A.F.), Boston University School of Medicine and Public Health, MA; Department of Neuroscience (A.G.), Icahn School of Medicine at Mount Sinai, New York, NY; Human Genetics Center (E.B.), UT Health School of Public Health, Houston, TX; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (R.M.) and Gertrude H. Sergievsky Center (R.M.), Columbia University Medical Center, New York, NY; Department of Neurology (R.M.), Columbia University Medical Center and New York Presbyterian Hospital, NY; and Department of Epidemiology (R.M.), Mailman School of Public Health, Columbia University, New York, NY
| | - T M Foroud
- John P. Hussman Institute for Human Genomics (G.W.B., E.R.M., M.A.P.-V.) and Dr. John T. Macdonald Foundation Department of Human Genetics (G.W.B., E.R.M., M.A.P.-V.), Miller School of Medicine, University of Miami, FL; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, Health Services, Department of Biostatistics (E.W.), and Division of Medical Genetics (E.W.), Department of Medicine, University of Washington, Seattle; Department of Biostatistics (S.-H.C., A.D., L.A.F.), Boston University School of Public Health, MA; The Framingham Heart Study (A.D., S.S.), MA; Department of Neurology (A.D., L.A.F., S.S.), Boston University School of Medicine, MA; Department of Epidemiology (C.M.v.D), Erasmus MC, Rotterdam, Netherlands; Brown Foundation Institute of Molecular Medicine (M.F.) and Human Genetics Center (M.F.), University of Texas Health Science Center, Houston; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology (S.B.G.), Cambridge; Harvard University (S.B.G.), Cambridge, MA; The McDonnell Genome Institute (D.C.K., D.E.L.) and Department of Genetics (D.E.L.), Washington University, St. Louis, MO; Department of Biostatistics and Epidemiology (A.C.N.) and Perelman School of Medicine (G.S.), University of Pennsylvania, Philadelphia; Group Health Research Institute (B.M.P.), Group Health Cooperative, Seattle, WA; Human Genome Sequencing Center (W.S., E.B.), Baylor College of Medicine, Houston, TX; Department of Epidemiology and Biostatistics (W.S.B., J.L.H.), Case Western Reserve University, Cleveland, OH; Department of Medical and Molecular Genetics (T.M.F.), Indiana University School of Medicine, Indianapolis; Department of Medicine (Biomedical Genetics) (L.A.F.), Department of Ophthalmology (L.A.F.), and Department of Epidemiology (L.A.F.), Boston University School of Medicine and Public Health, MA; Department of Neuroscience (A.G.), Icahn School of Medicine at Mount Sinai, New York, NY; Human Genetics Center (E.B.), UT Health School of Public Health, Houston, TX; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (R.M.) and Gertrude H. Sergievsky Center (R.M.), Columbia University Medical Center, New York, NY; Department of Neurology (R.M.), Columbia University Medical Center and New York Presbyterian Hospital, NY; and Department of Epidemiology (R.M.), Mailman School of Public Health, Columbia University, New York, NY
| | - E Wijsman
- John P. Hussman Institute for Human Genomics (G.W.B., E.R.M., M.A.P.-V.) and Dr. John T. Macdonald Foundation Department of Human Genetics (G.W.B., E.R.M., M.A.P.-V.), Miller School of Medicine, University of Miami, FL; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, Health Services, Department of Biostatistics (E.W.), and Division of Medical Genetics (E.W.), Department of Medicine, University of Washington, Seattle; Department of Biostatistics (S.-H.C., A.D., L.A.F.), Boston University School of Public Health, MA; The Framingham Heart Study (A.D., S.S.), MA; Department of Neurology (A.D., L.A.F., S.S.), Boston University School of Medicine, MA; Department of Epidemiology (C.M.v.D), Erasmus MC, Rotterdam, Netherlands; Brown Foundation Institute of Molecular Medicine (M.F.) and Human Genetics Center (M.F.), University of Texas Health Science Center, Houston; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology (S.B.G.), Cambridge; Harvard University (S.B.G.), Cambridge, MA; The McDonnell Genome Institute (D.C.K., D.E.L.) and Department of Genetics (D.E.L.), Washington University, St. Louis, MO; Department of Biostatistics and Epidemiology (A.C.N.) and Perelman School of Medicine (G.S.), University of Pennsylvania, Philadelphia; Group Health Research Institute (B.M.P.), Group Health Cooperative, Seattle, WA; Human Genome Sequencing Center (W.S., E.B.), Baylor College of Medicine, Houston, TX; Department of Epidemiology and Biostatistics (W.S.B., J.L.H.), Case Western Reserve University, Cleveland, OH; Department of Medical and Molecular Genetics (T.M.F.), Indiana University School of Medicine, Indianapolis; Department of Medicine (Biomedical Genetics) (L.A.F.), Department of Ophthalmology (L.A.F.), and Department of Epidemiology (L.A.F.), Boston University School of Medicine and Public Health, MA; Department of Neuroscience (A.G.), Icahn School of Medicine at Mount Sinai, New York, NY; Human Genetics Center (E.B.), UT Health School of Public Health, Houston, TX; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (R.M.) and Gertrude H. Sergievsky Center (R.M.), Columbia University Medical Center, New York, NY; Department of Neurology (R.M.), Columbia University Medical Center and New York Presbyterian Hospital, NY; and Department of Epidemiology (R.M.), Mailman School of Public Health, Columbia University, New York, NY
| | - L A Farrer
- John P. Hussman Institute for Human Genomics (G.W.B., E.R.M., M.A.P.-V.) and Dr. John T. Macdonald Foundation Department of Human Genetics (G.W.B., E.R.M., M.A.P.-V.), Miller School of Medicine, University of Miami, FL; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, Health Services, Department of Biostatistics (E.W.), and Division of Medical Genetics (E.W.), Department of Medicine, University of Washington, Seattle; Department of Biostatistics (S.-H.C., A.D., L.A.F.), Boston University School of Public Health, MA; The Framingham Heart Study (A.D., S.S.), MA; Department of Neurology (A.D., L.A.F., S.S.), Boston University School of Medicine, MA; Department of Epidemiology (C.M.v.D), Erasmus MC, Rotterdam, Netherlands; Brown Foundation Institute of Molecular Medicine (M.F.) and Human Genetics Center (M.F.), University of Texas Health Science Center, Houston; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology (S.B.G.), Cambridge; Harvard University (S.B.G.), Cambridge, MA; The McDonnell Genome Institute (D.C.K., D.E.L.) and Department of Genetics (D.E.L.), Washington University, St. Louis, MO; Department of Biostatistics and Epidemiology (A.C.N.) and Perelman School of Medicine (G.S.), University of Pennsylvania, Philadelphia; Group Health Research Institute (B.M.P.), Group Health Cooperative, Seattle, WA; Human Genome Sequencing Center (W.S., E.B.), Baylor College of Medicine, Houston, TX; Department of Epidemiology and Biostatistics (W.S.B., J.L.H.), Case Western Reserve University, Cleveland, OH; Department of Medical and Molecular Genetics (T.M.F.), Indiana University School of Medicine, Indianapolis; Department of Medicine (Biomedical Genetics) (L.A.F.), Department of Ophthalmology (L.A.F.), and Department of Epidemiology (L.A.F.), Boston University School of Medicine and Public Health, MA; Department of Neuroscience (A.G.), Icahn School of Medicine at Mount Sinai, New York, NY; Human Genetics Center (E.B.), UT Health School of Public Health, Houston, TX; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (R.M.) and Gertrude H. Sergievsky Center (R.M.), Columbia University Medical Center, New York, NY; Department of Neurology (R.M.), Columbia University Medical Center and New York Presbyterian Hospital, NY; and Department of Epidemiology (R.M.), Mailman School of Public Health, Columbia University, New York, NY
| | - A Goate
- John P. Hussman Institute for Human Genomics (G.W.B., E.R.M., M.A.P.-V.) and Dr. John T. Macdonald Foundation Department of Human Genetics (G.W.B., E.R.M., M.A.P.-V.), Miller School of Medicine, University of Miami, FL; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, Health Services, Department of Biostatistics (E.W.), and Division of Medical Genetics (E.W.), Department of Medicine, University of Washington, Seattle; Department of Biostatistics (S.-H.C., A.D., L.A.F.), Boston University School of Public Health, MA; The Framingham Heart Study (A.D., S.S.), MA; Department of Neurology (A.D., L.A.F., S.S.), Boston University School of Medicine, MA; Department of Epidemiology (C.M.v.D), Erasmus MC, Rotterdam, Netherlands; Brown Foundation Institute of Molecular Medicine (M.F.) and Human Genetics Center (M.F.), University of Texas Health Science Center, Houston; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology (S.B.G.), Cambridge; Harvard University (S.B.G.), Cambridge, MA; The McDonnell Genome Institute (D.C.K., D.E.L.) and Department of Genetics (D.E.L.), Washington University, St. Louis, MO; Department of Biostatistics and Epidemiology (A.C.N.) and Perelman School of Medicine (G.S.), University of Pennsylvania, Philadelphia; Group Health Research Institute (B.M.P.), Group Health Cooperative, Seattle, WA; Human Genome Sequencing Center (W.S., E.B.), Baylor College of Medicine, Houston, TX; Department of Epidemiology and Biostatistics (W.S.B., J.L.H.), Case Western Reserve University, Cleveland, OH; Department of Medical and Molecular Genetics (T.M.F.), Indiana University School of Medicine, Indianapolis; Department of Medicine (Biomedical Genetics) (L.A.F.), Department of Ophthalmology (L.A.F.), and Department of Epidemiology (L.A.F.), Boston University School of Medicine and Public Health, MA; Department of Neuroscience (A.G.), Icahn School of Medicine at Mount Sinai, New York, NY; Human Genetics Center (E.B.), UT Health School of Public Health, Houston, TX; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (R.M.) and Gertrude H. Sergievsky Center (R.M.), Columbia University Medical Center, New York, NY; Department of Neurology (R.M.), Columbia University Medical Center and New York Presbyterian Hospital, NY; and Department of Epidemiology (R.M.), Mailman School of Public Health, Columbia University, New York, NY
| | - J L Haines
- John P. Hussman Institute for Human Genomics (G.W.B., E.R.M., M.A.P.-V.) and Dr. John T. Macdonald Foundation Department of Human Genetics (G.W.B., E.R.M., M.A.P.-V.), Miller School of Medicine, University of Miami, FL; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, Health Services, Department of Biostatistics (E.W.), and Division of Medical Genetics (E.W.), Department of Medicine, University of Washington, Seattle; Department of Biostatistics (S.-H.C., A.D., L.A.F.), Boston University School of Public Health, MA; The Framingham Heart Study (A.D., S.S.), MA; Department of Neurology (A.D., L.A.F., S.S.), Boston University School of Medicine, MA; Department of Epidemiology (C.M.v.D), Erasmus MC, Rotterdam, Netherlands; Brown Foundation Institute of Molecular Medicine (M.F.) and Human Genetics Center (M.F.), University of Texas Health Science Center, Houston; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology (S.B.G.), Cambridge; Harvard University (S.B.G.), Cambridge, MA; The McDonnell Genome Institute (D.C.K., D.E.L.) and Department of Genetics (D.E.L.), Washington University, St. Louis, MO; Department of Biostatistics and Epidemiology (A.C.N.) and Perelman School of Medicine (G.S.), University of Pennsylvania, Philadelphia; Group Health Research Institute (B.M.P.), Group Health Cooperative, Seattle, WA; Human Genome Sequencing Center (W.S., E.B.), Baylor College of Medicine, Houston, TX; Department of Epidemiology and Biostatistics (W.S.B., J.L.H.), Case Western Reserve University, Cleveland, OH; Department of Medical and Molecular Genetics (T.M.F.), Indiana University School of Medicine, Indianapolis; Department of Medicine (Biomedical Genetics) (L.A.F.), Department of Ophthalmology (L.A.F.), and Department of Epidemiology (L.A.F.), Boston University School of Medicine and Public Health, MA; Department of Neuroscience (A.G.), Icahn School of Medicine at Mount Sinai, New York, NY; Human Genetics Center (E.B.), UT Health School of Public Health, Houston, TX; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (R.M.) and Gertrude H. Sergievsky Center (R.M.), Columbia University Medical Center, New York, NY; Department of Neurology (R.M.), Columbia University Medical Center and New York Presbyterian Hospital, NY; and Department of Epidemiology (R.M.), Mailman School of Public Health, Columbia University, New York, NY
| | - Margaret A Pericak-Vance
- John P. Hussman Institute for Human Genomics (G.W.B., E.R.M., M.A.P.-V.) and Dr. John T. Macdonald Foundation Department of Human Genetics (G.W.B., E.R.M., M.A.P.-V.), Miller School of Medicine, University of Miami, FL; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, Health Services, Department of Biostatistics (E.W.), and Division of Medical Genetics (E.W.), Department of Medicine, University of Washington, Seattle; Department of Biostatistics (S.-H.C., A.D., L.A.F.), Boston University School of Public Health, MA; The Framingham Heart Study (A.D., S.S.), MA; Department of Neurology (A.D., L.A.F., S.S.), Boston University School of Medicine, MA; Department of Epidemiology (C.M.v.D), Erasmus MC, Rotterdam, Netherlands; Brown Foundation Institute of Molecular Medicine (M.F.) and Human Genetics Center (M.F.), University of Texas Health Science Center, Houston; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology (S.B.G.), Cambridge; Harvard University (S.B.G.), Cambridge, MA; The McDonnell Genome Institute (D.C.K., D.E.L.) and Department of Genetics (D.E.L.), Washington University, St. Louis, MO; Department of Biostatistics and Epidemiology (A.C.N.) and Perelman School of Medicine (G.S.), University of Pennsylvania, Philadelphia; Group Health Research Institute (B.M.P.), Group Health Cooperative, Seattle, WA; Human Genome Sequencing Center (W.S., E.B.), Baylor College of Medicine, Houston, TX; Department of Epidemiology and Biostatistics (W.S.B., J.L.H.), Case Western Reserve University, Cleveland, OH; Department of Medical and Molecular Genetics (T.M.F.), Indiana University School of Medicine, Indianapolis; Department of Medicine (Biomedical Genetics) (L.A.F.), Department of Ophthalmology (L.A.F.), and Department of Epidemiology (L.A.F.), Boston University School of Medicine and Public Health, MA; Department of Neuroscience (A.G.), Icahn School of Medicine at Mount Sinai, New York, NY; Human Genetics Center (E.B.), UT Health School of Public Health, Houston, TX; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (R.M.) and Gertrude H. Sergievsky Center (R.M.), Columbia University Medical Center, New York, NY; Department of Neurology (R.M.), Columbia University Medical Center and New York Presbyterian Hospital, NY; and Department of Epidemiology (R.M.), Mailman School of Public Health, Columbia University, New York, NY
| | - E Boerwinkle
- John P. Hussman Institute for Human Genomics (G.W.B., E.R.M., M.A.P.-V.) and Dr. John T. Macdonald Foundation Department of Human Genetics (G.W.B., E.R.M., M.A.P.-V.), Miller School of Medicine, University of Miami, FL; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, Health Services, Department of Biostatistics (E.W.), and Division of Medical Genetics (E.W.), Department of Medicine, University of Washington, Seattle; Department of Biostatistics (S.-H.C., A.D., L.A.F.), Boston University School of Public Health, MA; The Framingham Heart Study (A.D., S.S.), MA; Department of Neurology (A.D., L.A.F., S.S.), Boston University School of Medicine, MA; Department of Epidemiology (C.M.v.D), Erasmus MC, Rotterdam, Netherlands; Brown Foundation Institute of Molecular Medicine (M.F.) and Human Genetics Center (M.F.), University of Texas Health Science Center, Houston; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology (S.B.G.), Cambridge; Harvard University (S.B.G.), Cambridge, MA; The McDonnell Genome Institute (D.C.K., D.E.L.) and Department of Genetics (D.E.L.), Washington University, St. Louis, MO; Department of Biostatistics and Epidemiology (A.C.N.) and Perelman School of Medicine (G.S.), University of Pennsylvania, Philadelphia; Group Health Research Institute (B.M.P.), Group Health Cooperative, Seattle, WA; Human Genome Sequencing Center (W.S., E.B.), Baylor College of Medicine, Houston, TX; Department of Epidemiology and Biostatistics (W.S.B., J.L.H.), Case Western Reserve University, Cleveland, OH; Department of Medical and Molecular Genetics (T.M.F.), Indiana University School of Medicine, Indianapolis; Department of Medicine (Biomedical Genetics) (L.A.F.), Department of Ophthalmology (L.A.F.), and Department of Epidemiology (L.A.F.), Boston University School of Medicine and Public Health, MA; Department of Neuroscience (A.G.), Icahn School of Medicine at Mount Sinai, New York, NY; Human Genetics Center (E.B.), UT Health School of Public Health, Houston, TX; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (R.M.) and Gertrude H. Sergievsky Center (R.M.), Columbia University Medical Center, New York, NY; Department of Neurology (R.M.), Columbia University Medical Center and New York Presbyterian Hospital, NY; and Department of Epidemiology (R.M.), Mailman School of Public Health, Columbia University, New York, NY
| | - R Mayeux
- John P. Hussman Institute for Human Genomics (G.W.B., E.R.M., M.A.P.-V.) and Dr. John T. Macdonald Foundation Department of Human Genetics (G.W.B., E.R.M., M.A.P.-V.), Miller School of Medicine, University of Miami, FL; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, Health Services, Department of Biostatistics (E.W.), and Division of Medical Genetics (E.W.), Department of Medicine, University of Washington, Seattle; Department of Biostatistics (S.-H.C., A.D., L.A.F.), Boston University School of Public Health, MA; The Framingham Heart Study (A.D., S.S.), MA; Department of Neurology (A.D., L.A.F., S.S.), Boston University School of Medicine, MA; Department of Epidemiology (C.M.v.D), Erasmus MC, Rotterdam, Netherlands; Brown Foundation Institute of Molecular Medicine (M.F.) and Human Genetics Center (M.F.), University of Texas Health Science Center, Houston; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology (S.B.G.), Cambridge; Harvard University (S.B.G.), Cambridge, MA; The McDonnell Genome Institute (D.C.K., D.E.L.) and Department of Genetics (D.E.L.), Washington University, St. Louis, MO; Department of Biostatistics and Epidemiology (A.C.N.) and Perelman School of Medicine (G.S.), University of Pennsylvania, Philadelphia; Group Health Research Institute (B.M.P.), Group Health Cooperative, Seattle, WA; Human Genome Sequencing Center (W.S., E.B.), Baylor College of Medicine, Houston, TX; Department of Epidemiology and Biostatistics (W.S.B., J.L.H.), Case Western Reserve University, Cleveland, OH; Department of Medical and Molecular Genetics (T.M.F.), Indiana University School of Medicine, Indianapolis; Department of Medicine (Biomedical Genetics) (L.A.F.), Department of Ophthalmology (L.A.F.), and Department of Epidemiology (L.A.F.), Boston University School of Medicine and Public Health, MA; Department of Neuroscience (A.G.), Icahn School of Medicine at Mount Sinai, New York, NY; Human Genetics Center (E.B.), UT Health School of Public Health, Houston, TX; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (R.M.) and Gertrude H. Sergievsky Center (R.M.), Columbia University Medical Center, New York, NY; Department of Neurology (R.M.), Columbia University Medical Center and New York Presbyterian Hospital, NY; and Department of Epidemiology (R.M.), Mailman School of Public Health, Columbia University, New York, NY
| | - S Seshadri
- John P. Hussman Institute for Human Genomics (G.W.B., E.R.M., M.A.P.-V.) and Dr. John T. Macdonald Foundation Department of Human Genetics (G.W.B., E.R.M., M.A.P.-V.), Miller School of Medicine, University of Miami, FL; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, Health Services, Department of Biostatistics (E.W.), and Division of Medical Genetics (E.W.), Department of Medicine, University of Washington, Seattle; Department of Biostatistics (S.-H.C., A.D., L.A.F.), Boston University School of Public Health, MA; The Framingham Heart Study (A.D., S.S.), MA; Department of Neurology (A.D., L.A.F., S.S.), Boston University School of Medicine, MA; Department of Epidemiology (C.M.v.D), Erasmus MC, Rotterdam, Netherlands; Brown Foundation Institute of Molecular Medicine (M.F.) and Human Genetics Center (M.F.), University of Texas Health Science Center, Houston; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology (S.B.G.), Cambridge; Harvard University (S.B.G.), Cambridge, MA; The McDonnell Genome Institute (D.C.K., D.E.L.) and Department of Genetics (D.E.L.), Washington University, St. Louis, MO; Department of Biostatistics and Epidemiology (A.C.N.) and Perelman School of Medicine (G.S.), University of Pennsylvania, Philadelphia; Group Health Research Institute (B.M.P.), Group Health Cooperative, Seattle, WA; Human Genome Sequencing Center (W.S., E.B.), Baylor College of Medicine, Houston, TX; Department of Epidemiology and Biostatistics (W.S.B., J.L.H.), Case Western Reserve University, Cleveland, OH; Department of Medical and Molecular Genetics (T.M.F.), Indiana University School of Medicine, Indianapolis; Department of Medicine (Biomedical Genetics) (L.A.F.), Department of Ophthalmology (L.A.F.), and Department of Epidemiology (L.A.F.), Boston University School of Medicine and Public Health, MA; Department of Neuroscience (A.G.), Icahn School of Medicine at Mount Sinai, New York, NY; Human Genetics Center (E.B.), UT Health School of Public Health, Houston, TX; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (R.M.) and Gertrude H. Sergievsky Center (R.M.), Columbia University Medical Center, New York, NY; Department of Neurology (R.M.), Columbia University Medical Center and New York Presbyterian Hospital, NY; and Department of Epidemiology (R.M.), Mailman School of Public Health, Columbia University, New York, NY
| | - G Schellenberg
- John P. Hussman Institute for Human Genomics (G.W.B., E.R.M., M.A.P.-V.) and Dr. John T. Macdonald Foundation Department of Human Genetics (G.W.B., E.R.M., M.A.P.-V.), Miller School of Medicine, University of Miami, FL; Cardiovascular Health Research Unit (J.C.B.), Department of Medicine, Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, Health Services, Department of Biostatistics (E.W.), and Division of Medical Genetics (E.W.), Department of Medicine, University of Washington, Seattle; Department of Biostatistics (S.-H.C., A.D., L.A.F.), Boston University School of Public Health, MA; The Framingham Heart Study (A.D., S.S.), MA; Department of Neurology (A.D., L.A.F., S.S.), Boston University School of Medicine, MA; Department of Epidemiology (C.M.v.D), Erasmus MC, Rotterdam, Netherlands; Brown Foundation Institute of Molecular Medicine (M.F.) and Human Genetics Center (M.F.), University of Texas Health Science Center, Houston; The Eli and Edythe L. Broad Institute of Massachusetts Institute of Technology (S.B.G.), Cambridge; Harvard University (S.B.G.), Cambridge, MA; The McDonnell Genome Institute (D.C.K., D.E.L.) and Department of Genetics (D.E.L.), Washington University, St. Louis, MO; Department of Biostatistics and Epidemiology (A.C.N.) and Perelman School of Medicine (G.S.), University of Pennsylvania, Philadelphia; Group Health Research Institute (B.M.P.), Group Health Cooperative, Seattle, WA; Human Genome Sequencing Center (W.S., E.B.), Baylor College of Medicine, Houston, TX; Department of Epidemiology and Biostatistics (W.S.B., J.L.H.), Case Western Reserve University, Cleveland, OH; Department of Medical and Molecular Genetics (T.M.F.), Indiana University School of Medicine, Indianapolis; Department of Medicine (Biomedical Genetics) (L.A.F.), Department of Ophthalmology (L.A.F.), and Department of Epidemiology (L.A.F.), Boston University School of Medicine and Public Health, MA; Department of Neuroscience (A.G.), Icahn School of Medicine at Mount Sinai, New York, NY; Human Genetics Center (E.B.), UT Health School of Public Health, Houston, TX; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (R.M.) and Gertrude H. Sergievsky Center (R.M.), Columbia University Medical Center, New York, NY; Department of Neurology (R.M.), Columbia University Medical Center and New York Presbyterian Hospital, NY; and Department of Epidemiology (R.M.), Mailman School of Public Health, Columbia University, New York, NY
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Galindo R, Banks Greenberg M, Araki T, Sasaki Y, Mehta N, Milbrandt J, Holtzman DM. NMNAT3 is protective against the effects of neonatal cerebral hypoxia-ischemia. Ann Clin Transl Neurol 2017; 4:722-738. [PMID: 29046881 PMCID: PMC5634348 DOI: 10.1002/acn3.450] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Revised: 07/11/2017] [Accepted: 07/14/2017] [Indexed: 01/10/2023] Open
Abstract
OBJECTIVE To determine whether the NAD+ biosynthetic protein, nicotinamide mononucleotide adenylyltransferase-3 (NMNAT3), is a neuroprotective inducible enzyme capable of decreasing cerebral injury after neonatal hypoxia-ischemia (H-I) and reducing glutamate receptor-mediated excitotoxic neurodegeneration of immature neurons. METHODS Using NMNAT3-overexpressing mice we investigated whether increases in brain NMNAT3 reduced cerebral tissue loss following H-I. We then employed biochemical methods from injured neonatal brains to examine the inducibility of NMNAT3 and the mechanism of NMNAT3-dependent neuroprotection. Using AAV8-mediated vectors for in vitro neuronal NMNAT3 knockdown, we then examine the endogenous role of this protein on immature neuronal survival prior and following NMDA receptor-mediated excitotoxicity. RESULTS NMNAT3 mRNA and protein levels increased after neonatal H-I. In addition, NMNAT3 overexpression decreased cortical and hippocampal tissue loss 7 days following injury. We further show that the NMNAT3 neuroprotective mechanism involves a decrease in calpastatin degradation, and a decrease in caspase-3 activity and calpain-mediated cleavage. Conversely, NMNAT3 knockdown of cortical and hippocampal neurons in vitro caused neuronal degeneration and increased excitotoxic cell death. The neurodegenerative effects of NMNAT3 knockdown were counteracted by exogenous upregulation of NMNAT3. CONCLUSIONS Our observations provide new insights into the neuroprotective mechanisms of NMNATs in the injured developing brain, adding NMNAT3 as an important neuroprotective enzyme in neonatal H-I via inhibition of apoptotic and necrotic neurodegeneration. Interestingly, we find that endogenous NMNAT3 is an inducible protein important for maintaining the survival of immature neurons. Future studies aimed at uncovering the mechanisms of NMNAT3 upregulation and neuroprotection may offer new therapies against the effects of hypoxic-ischemic encephalopathy.
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Affiliation(s)
- Rafael Galindo
- Department of NeurologyHope Center for Neurological DisordersWashington UniversitySt. LouisMissouri63110
| | - Marianne Banks Greenberg
- Department of NeurologyHope Center for Neurological DisordersWashington UniversitySt. LouisMissouri63110
| | - Toshiyuki Araki
- Department of Peripheral Nervous System ResearchNational Institute of NeuroscienceKodairaTokyoJapan
| | - Yo Sasaki
- Department of GeneticsWashington UniversitySt. LouisMissouri63110
| | - Nehali Mehta
- Department of NeurologyHope Center for Neurological DisordersWashington UniversitySt. LouisMissouri63110
| | | | - David M. Holtzman
- Department of NeurologyHope Center for Neurological DisordersWashington UniversitySt. LouisMissouri63110
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Giri M, Shah A, Upreti B, Rai JC. Unraveling the genes implicated in Alzheimer's disease. Biomed Rep 2017; 7:105-114. [PMID: 28781776 DOI: 10.3892/br.2017.927] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Accepted: 05/29/2017] [Indexed: 12/17/2022] Open
Abstract
Alzheimer's disease (AD) is a heterogeneous neurodegenerative disorder and it is the most common form of dementia in the elderly. Early onset AD is caused by mutations in three genes: Amyloid-β precursor protein, presenilin 1 (PSEN1) and PSEN2. Late onset AD (LOAD) is complex and apolipoprotein E is the only unanimously accepted genetic risk factor for its development. Various genes implicated in AD have been identified using advanced genetic technologies, however, there are many additional genes that remain unidentified. The present review highlights the genetics of early and LOAD and summarizes the genes involved in different signaling pathways. This may provide insight into neurodegenerative disease research and will facilitate the development of effective strategies to combat AD.
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Affiliation(s)
- Mohan Giri
- National Center for Rheumatic Diseases, Ratopul, Kathmandu 44600, Nepal
| | - Abhilasha Shah
- National Center for Rheumatic Diseases, Ratopul, Kathmandu 44600, Nepal
| | - Bibhuti Upreti
- National Center for Rheumatic Diseases, Ratopul, Kathmandu 44600, Nepal
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Brazill JM, Li C, Zhu Y, Zhai RG. NMNAT: It's an NAD + synthase… It's a chaperone… It's a neuroprotector. Curr Opin Genet Dev 2017; 44:156-162. [PMID: 28445802 DOI: 10.1016/j.gde.2017.03.014] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Revised: 03/21/2017] [Accepted: 03/22/2017] [Indexed: 12/17/2022]
Abstract
Nicotinamide mononucleotide adenylyl transferases (NMNATs) are a family of highly conserved proteins indispensable for cellular homeostasis. NMNATs are classically known for their enzymatic function of catalyzing NAD+ synthesis, but also have gained a reputation as essential neuronal maintenance factors. NMNAT deficiency has been associated with various human diseases with pronounced consequences on neural tissues, underscoring the importance of the neuronal maintenance and protective roles of these proteins. New mechanistic studies have challenged the role of NMNAT-catalyzed NAD+ production in delaying Wallerian degeneration and have specified new mechanisms of NMNAT's chaperone function critical for neuronal health. Progress in understanding the regulation of NMNAT has uncovered a neuronal stress response with great therapeutic promise for treating various neurodegenerative conditions.
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Affiliation(s)
- Jennifer M Brazill
- Department of Molecular and Cellular Pharmacology, University of Miami Miller School of Medicine, Miami, FL 33136, United States
| | - Chong Li
- Department of Molecular and Cellular Pharmacology, University of Miami Miller School of Medicine, Miami, FL 33136, United States
| | - Yi Zhu
- Department of Molecular and Cellular Pharmacology, University of Miami Miller School of Medicine, Miami, FL 33136, United States
| | - R Grace Zhai
- Department of Molecular and Cellular Pharmacology, University of Miami Miller School of Medicine, Miami, FL 33136, United States.
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43
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Naj AC, Schellenberg GD. Genomic variants, genes, and pathways of Alzheimer's disease: An overview. Am J Med Genet B Neuropsychiatr Genet 2017; 174:5-26. [PMID: 27943641 PMCID: PMC6179157 DOI: 10.1002/ajmg.b.32499] [Citation(s) in RCA: 125] [Impact Index Per Article: 17.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2016] [Accepted: 09/19/2016] [Indexed: 12/19/2022]
Abstract
Alzheimer's disease (AD) (MIM: 104300) is a highly heritable disease with great complexity in its genetic contributors, and represents the most common form of dementia. With the gradual aging of the world's population, leading to increased prevalence of AD, and the substantial cost of care for those afflicted, identifying the genetic causes of disease represents a critical effort in identifying therapeutic targets. Here we provide a comprehensive review of genomic studies of AD, from the earliest linkage studies identifying monogenic contributors to early-onset forms of AD to the genome-wide and rare variant association studies of recent years that are being used to characterize the mosaic of genetic contributors to late-onset AD (LOAD), and which have identified approximately ∼20 genes with common variants contributing to LOAD risk. In addition, we explore studies employing alternative approaches to identify genetic contributors to AD, including studies of AD-related phenotypes and multi-variant association studies such as pathway analyses. Finally, we introduce studies of next-generation sequencing, which have recently helped identify multiple low-frequency and rare variant contributors to AD, and discuss on-going efforts with next-generation sequencing studies to develop statistically well- powered and comprehensive genomic studies of AD. Through this review, we help uncover the many insights the genetics of AD have provided into the pathways and pathophysiology of AD. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Adam C Naj
- Department of Biostatistics and Epidemiology/Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Gerard D Schellenberg
- Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
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44
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Mazitov T, Bregin A, Philips MA, Innos J, Vasar E. Deficit in emotional learning in neurotrimin knockout mice. Behav Brain Res 2016; 317:311-318. [PMID: 27693610 DOI: 10.1016/j.bbr.2016.09.064] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2016] [Revised: 09/04/2016] [Accepted: 09/27/2016] [Indexed: 10/20/2022]
Abstract
Neurotrimin (Ntm) belongs to the IgLON family of cell adhesion molecules with Lsamp, Obcam and kilon that regulate the outgrowth of neurites mostly by forming heterodimers. IgLONs have been associated with psychiatric disorders, intelligence, body weight, heart disease and tumours. This study provides an initial behavioural and pharmacological characterization of the phenotype of Ntm-deficient mice. We expected to see at least some overlap with the phenotype of Lsamp-deficient mice as Ntm and Lsamp are the main interaction partners in the IgLON family and are colocalized in some brain regions. However, Ntm-deficient mice displayed none of the deviations in behaviour that we have previously shown in Lsamp-deficient mice, but differently from Lsamp-deficient mice, had a deficit in emotional learning in the active avoidance task. The only overlap was decreased sensitivity to the locomotor stimulating effect of amphetamine in both knockout models. Thus, despite being interaction partners, on the behavioural level Lsamp seems to play a much more central role than Ntm and the roles of these two proteins seem to be complementary rather than overlapping.
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Affiliation(s)
- Timur Mazitov
- Department of Physiology, Institute of Biomedicine and Translational Medicine, University of Tartu, 19 Ravila Street, 50411 Tartu, Estonia; Centre of Excellence in Genomics and Translational Medicine, University of Tartu, 19 Ravila Street, 50411 Tartu, Estonia
| | - Aleksandr Bregin
- Department of Physiology, Institute of Biomedicine and Translational Medicine, University of Tartu, 19 Ravila Street, 50411 Tartu, Estonia; Centre of Excellence in Genomics and Translational Medicine, University of Tartu, 19 Ravila Street, 50411 Tartu, Estonia
| | - Mari-Anne Philips
- Department of Physiology, Institute of Biomedicine and Translational Medicine, University of Tartu, 19 Ravila Street, 50411 Tartu, Estonia; Centre of Excellence in Genomics and Translational Medicine, University of Tartu, 19 Ravila Street, 50411 Tartu, Estonia
| | - Jürgen Innos
- Department of Physiology, Institute of Biomedicine and Translational Medicine, University of Tartu, 19 Ravila Street, 50411 Tartu, Estonia; Centre of Excellence in Genomics and Translational Medicine, University of Tartu, 19 Ravila Street, 50411 Tartu, Estonia.
| | - Eero Vasar
- Department of Physiology, Institute of Biomedicine and Translational Medicine, University of Tartu, 19 Ravila Street, 50411 Tartu, Estonia; Centre of Excellence in Genomics and Translational Medicine, University of Tartu, 19 Ravila Street, 50411 Tartu, Estonia
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45
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Kanatsu K, Tomita T. Membrane trafficking and proteolytic activity of γ-secretase in Alzheimer’s disease. Biol Chem 2016; 397:827-35. [DOI: 10.1515/hsz-2016-0146] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2016] [Accepted: 07/04/2016] [Indexed: 12/26/2022]
Abstract
Abstract
γ-Secretase is an intramembrane-cleaving protease that generates various forms of amyloid-β peptides (Aβ) that accumulate in the brains of Alzheimer’s disease (AD) patients. The intracellular trafficking and subcellular localization of γ-secretase are linked to both qualitative and quantitative changes in Aβ production. However, the precise intracellular localization of γ-secretase as well as its detailed regulatory mechanisms have remained elusive. Recent genetic studies on AD provide ample evidence that alteration of the subcellular localization of γ-secretase contributes to the pathogenesis of AD. Here we review our current understanding of the intracellular membrane trafficking of γ-secretase, the association between its localization and proteolytic activity, and the possibility of γ-secretase as a therapeutic target against AD.
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46
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Azmanov DN, Siira SJ, Chamova T, Kaprelyan A, Guergueltcheva V, Shearwood AMJ, Liu G, Morar B, Rackham O, Bynevelt M, Grudkova M, Kamenov Z, Svechtarov V, Tournev I, Kalaydjieva L, Filipovska A. Transcriptome-wide effects of aPOLR3Agene mutation in patients with an unusual phenotype of striatal involvement. Hum Mol Genet 2016; 25:4302-4314. [DOI: 10.1093/hmg/ddw263] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2016] [Revised: 07/26/2016] [Accepted: 07/28/2016] [Indexed: 01/08/2023] Open
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47
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Ibrahim-Verbaas CA, Bressler J, Debette S, Schuur M, Smith AV, Bis JC, Davies G, Trompet S, Smith JA, Wolf C, Chibnik LB, Liu Y, Vitart V, Kirin M, Petrovic K, Polasek O, Zgaga L, Fawns-Ritchie C, Hoffmann P, Karjalainen J, Lahti J, Llewellyn DJ, Schmidt CO, Mather KA, Chouraki V, Sun Q, Resnick SM, Rose LM, Oldmeadow C, Stewart M, Smith BH, Gudnason V, Yang Q, Mirza SS, Jukema JW, deJager PL, Harris TB, Liewald DC, Amin N, Coker LH, Stegle O, Lopez OL, Schmidt R, Teumer A, Ford I, Karbalai N, Becker JT, Jonsdottir MK, Au R, Fehrmann RSN, Herms S, Nalls M, Zhao W, Turner ST, Yaffe K, Lohman K, van Swieten JC, Kardia SLR, Knopman DS, Meeks WM, Heiss G, Holliday EG, Schofield PW, Tanaka T, Stott DJ, Wang J, Ridker P, Gow AJ, Pattie A, Starr JM, Hocking LJ, Armstrong NJ, McLachlan S, Shulman JM, Pilling LC, Eiriksdottir G, Scott RJ, Kochan NA, Palotie A, Hsieh YC, Eriksson JG, Penman A, Gottesman RF, Oostra BA, Yu L, DeStefano AL, Beiser A, Garcia M, Rotter JI, Nöthen MM, Hofman A, Slagboom PE, Westendorp RGJ, Buckley BM, Wolf PA, Uitterlinden AG, Psaty BM, Grabe HJ, Bandinelli S, Chasman DI, Grodstein F, Räikkönen K, Lambert JC, Porteous DJ, Price JF, Sachdev PS, Ferrucci L, Attia JR, Rudan I, Hayward C, Wright AF, Wilson JF, Cichon S, Franke L, Schmidt H, Ding J, de Craen AJM, Fornage M, Bennett DA, Deary IJ, Ikram MA, Launer LJ, Fitzpatrick AL, Seshadri S, van Duijn CM, Mosley TH. GWAS for executive function and processing speed suggests involvement of the CADM2 gene. Mol Psychiatry 2016; 21:189-197. [PMID: 25869804 PMCID: PMC4722802 DOI: 10.1038/mp.2015.37] [Citation(s) in RCA: 104] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2013] [Revised: 01/21/2015] [Accepted: 02/11/2015] [Indexed: 01/20/2023]
Abstract
To identify common variants contributing to normal variation in two specific domains of cognitive functioning, we conducted a genome-wide association study (GWAS) of executive functioning and information processing speed in non-demented older adults from the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) consortium. Neuropsychological testing was available for 5429-32,070 subjects of European ancestry aged 45 years or older, free of dementia and clinical stroke at the time of cognitive testing from 20 cohorts in the discovery phase. We analyzed performance on the Trail Making Test parts A and B, the Letter Digit Substitution Test (LDST), the Digit Symbol Substitution Task (DSST), semantic and phonemic fluency tests, and the Stroop Color and Word Test. Replication was sought in 1311-21860 subjects from 20 independent cohorts. A significant association was observed in the discovery cohorts for the single-nucleotide polymorphism (SNP) rs17518584 (discovery P-value=3.12 × 10(-8)) and in the joint discovery and replication meta-analysis (P-value=3.28 × 10(-9) after adjustment for age, gender and education) in an intron of the gene cell adhesion molecule 2 (CADM2) for performance on the LDST/DSST. Rs17518584 is located about 170 kb upstream of the transcription start site of the major transcript for the CADM2 gene, but is within an intron of a variant transcript that includes an alternative first exon. The variant is associated with expression of CADM2 in the cingulate cortex (P-value=4 × 10(-4)). The protein encoded by CADM2 is involved in glutamate signaling (P-value=7.22 × 10(-15)), gamma-aminobutyric acid (GABA) transport (P-value=1.36 × 10(-11)) and neuron cell-cell adhesion (P-value=1.48 × 10(-13)). Our findings suggest that genetic variation in the CADM2 gene is associated with individual differences in information processing speed.
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Affiliation(s)
- CA Ibrahim-Verbaas
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus
University Medical Center, Rotterdam, The Netherlands
- Department of Neurology, Erasmus University Medical Center,
Rotterdam, The Netherlands
- Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - J Bressler
- Human Genetics Center, School of Public Health, University of
Texas Health Science Center at Houston, Houston, TX, USA
- Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - S Debette
- Department of Neurology, Boston University School of Medicine,
Boston, MA, USA
- Institut National de la Santé et de la Recherche
Médicale (INSERM), U897, Epidemiology and Biostatistics, University of Bordeaux,
Bordeaux, France
- Department of Neurology, Bordeaux University Hospital, Bordeaux,
France
- Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - M Schuur
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus
University Medical Center, Rotterdam, The Netherlands
- Department of Neurology, Erasmus University Medical Center,
Rotterdam, The Netherlands
- Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - AV Smith
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik,
Iceland
- Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - JC Bis
- Cardiovascular Health Research Unit, Department of Medicine,
University of Washington, Seattle, WA, USA
- Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - G Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK
- Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - S Trompet
- Department of Cardiology, Leiden University Medical Center,
Leiden, The Netherlands
- Department of Gerontology and Geriatrics, Leiden University
Medical Center, Leiden, The Netherlands
| | - JA Smith
- Department of Epidemiology, University of Michigan, Ann Arbor,
MI, USA
| | - C Wolf
- RG Statistical Genetics, Max Planck Institute of Psychiatry,
Munich, Germany
| | - LB Chibnik
- Program in Translational Neuropsychiatric Genomics, Department
of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - Y Liu
- Department of Epidemiology, Wake Forest School of Medicine,
Winston-Salem, NC, USA
| | - V Vitart
- MRC Human Genetics Unit, Institute of Genetics and Molecular
Medicine, University of Edinburgh, Edinburgh, UK
| | - M Kirin
- Centre for Population Health Sciences, University of Edinburgh,
Edinburgh, UK
| | - K Petrovic
- Department of Neurology, Medical University and General
Hospital of Graz, Graz, Austria
| | - O Polasek
- Department of Public Health, University of Split, Split,
Croatia
| | - L Zgaga
- Department of Public Health and Primary Care, Trinity College
Dublin, Dublin, Ireland
| | - C Fawns-Ritchie
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK
| | - P Hoffmann
- Institute of Neuroscience and Medicine (INM -1), Research
Center Juelich, Juelich, Germany
- Division of Medical Genetics, Department of Biomedicine,
University of Basel, Basel, Switzerland
- Department of Genomics, Life and Brain Research Center,
Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - J Karjalainen
- Department of Genetics, University Medical Centre Groningen,
University of Groningen, Groningen, The Netherlands
| | - J Lahti
- Institute of Behavioural Sciences, University of Helsinki,
Helsinki, Finland
- Folkhälsan Research Centre, Helsinki, Finland
| | - DJ Llewellyn
- Institute of Biomedical and Clinical Sciences, University of
Exeter Medical School, Exeter, UK
| | - CO Schmidt
- Institute for Community Medicine, University Medicine
Greifswald, Greifswald, Germany
| | - KA Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, UNSW
Medicine, University of New South Wales, Sydney, Australia
| | - V Chouraki
- Inserm, U1167, Institut Pasteur de Lille, Université
Lille-Nord de France, Lille, France
| | - Q Sun
- Channing Division of Network Medicine, Department of Medicine,
Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - SM Resnick
- Laboratory of Behavioral Neuroscience, National Institute on
Aging, NIH, Baltimore, MD, USA
| | - LM Rose
- Division of Preventive Medicine, Brigham and Women's Hospital,
Boston, MA, USA
| | - C Oldmeadow
- Hunter Medical Research Institute and Faculty of Health,
University of Newcastle, Newcastle, NSW, Australia
| | - M Stewart
- Centre for Population Health Sciences, University of Edinburgh,
Edinburgh, UK
| | - BH Smith
- Medical Research Institute, University of Dundee, Dundee,
UK
| | - V Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik,
Iceland
| | - Q Yang
- The National Heart Lung and Blood Institute's Framingham Heart
Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public
Health, Boston, MA, USA
| | - SS Mirza
- Department of Epidemiology, Erasmus University Medical Center,
Rotterdam, The Netherlands
- Netherlands Consortium for Healthy Ageing, Leiden, The
Netherlands
| | - JW Jukema
- Department of Cardiology, Leiden University Medical Center,
Leiden, The Netherlands
| | - PL deJager
- Program in Translational Neuropsychiatric Genomics, Department
of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - TB Harris
- Laboratory of Epidemiology and Population Sciences, National
Institute on Aging, Bethesda, MD, USA
| | - DC Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh,
UK
| | - N Amin
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus
University Medical Center, Rotterdam, The Netherlands
| | - LH Coker
- Division of Public Health Sciences and Neurology, Wake Forest
School of Medicine, Winston-Salem, NC, USA
| | - O Stegle
- Max Planck Institute for Developmental Biology, Max Planck
Institute for Intelligent Systems, Tübingen, Germany
| | - OL Lopez
- Department of Neurology, University of Pittsburgh, Pittsburgh,
PA, USA
| | - R Schmidt
- Department of Neurology, Medical University and General
Hospital of Graz, Graz, Austria
| | - A Teumer
- Interfaculty Institute for Genetics and Functional Genomics,
University Medicine Greifswald, Greifswald, Germany
| | - I Ford
- Robertson Center for biostatistics, University of Glasgow,
Glasgow, UK
| | - N Karbalai
- RG Statistical Genetics, Max Planck Institute of Psychiatry,
Munich, Germany
| | - JT Becker
- Department of Neurology, University of Pittsburgh, Pittsburgh,
PA, USA
- Department of Psychiatry, University of Pittsburgh, Pittsburgh,
PA, USA
- Department of Psychology, University of Pittsburgh, Pittsburgh,
PA, USA
| | | | - R Au
- Department of Neurology, Boston University School of Medicine,
Boston, MA, USA
- The National Heart Lung and Blood Institute's Framingham Heart
Study, Framingham, MA, USA
| | - RSN Fehrmann
- Department of Genetics, University Medical Centre Groningen,
University of Groningen, Groningen, The Netherlands
| | - S Herms
- Division of Medical Genetics, Department of Biomedicine,
University of Basel, Basel, Switzerland
- Department of Genomics, Life and Brain Research Center,
Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - M Nalls
- Laboratory of Neurogenetics, National Institute on Aging,
Bethesda, MD, USA
| | - W Zhao
- Department of Epidemiology, University of Michigan, Ann Arbor,
MI, USA
| | - ST Turner
- Division of Nephrology and Hypertension, Department of Internal
Medicine, Mayo Clinic, Rochester, MN, USA
| | - K Yaffe
- Departments of Psychiatry, Neurology and Epidemiology,
University of California, San Francisco and San Francisco VA Medical Center, San Francisco,
CA, USA
| | - K Lohman
- Department of Epidemiology, Wake Forest School of Medicine,
Winston-Salem, NC, USA
| | - JC van Swieten
- Department of Neurology, Erasmus University Medical Center,
Rotterdam, The Netherlands
| | - SLR Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor,
MI, USA
| | - DS Knopman
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - WM Meeks
- Department of Medicine, Division of Geriatrics, University of
Mississippi Medical Center, Jackson, MS, USA
| | - G Heiss
- Department of Epidemiology, Gillings School of Global Public
Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - EG Holliday
- Hunter Medical Research Institute and Faculty of Health,
University of Newcastle, Newcastle, NSW, Australia
| | - PW Schofield
- School of Medicine and Public Health, Faculty of Health,
University of Newcastle, Newcastle, SW, Australia
| | - T Tanaka
- Translational Gerontology Branch, National Institute on Aging,
Baltimore, MD, USA
| | - DJ Stott
- Department of Cardiovascular and Medical Sciences, University
of Glasgow, Glasgow, UK
| | - J Wang
- Department of Biostatistics, Boston University School of Public
Health, Boston, MA, USA
| | - P Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital,
Boston, MA, USA
| | - AJ Gow
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh,
UK
| | - A Pattie
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK
| | - JM Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK
- Alzheimer Scotland Research Centre, Edinburgh, UK
| | - LJ Hocking
- Division of Applied Medicine, University of Aberdeen, Aberdeen,
UK
| | - NJ Armstrong
- Centre for Healthy Brain Ageing, School of Psychiatry, UNSW
Medicine, University of New South Wales, Sydney, Australia
- Cancer Research Program, Garvan Institute of Medical Research,
Sydney, NSW, Australia
- School of Mathematics & Statistics and Prince of Wales
Clinical School, University of New South Wales, Sydney, NSW, Australia
| | - S McLachlan
- Centre for Population Health Sciences, University of Edinburgh,
Edinburgh, UK
| | - JM Shulman
- Department of Neurology, Baylor College of Medicine, Houston,
TX, USA
- Department of Molecular and Human Genetics, The Jan and Dan
Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - LC Pilling
- Epidemiology and Public Health Group, University of Exeter
Medical School, Exeter, UK
| | | | - RJ Scott
- Hunter Medical Research Institute and Faculty of Health,
University of Newcastle, Newcastle, NSW, Australia
| | - NA Kochan
- Centre for Healthy Brain Ageing, School of Psychiatry, UNSW
Medicine, University of New South Wales, Sydney, Australia
- Neuropsychiatric Institute, The Prince of Wales Hospital,
Sydney, NSW, Australia
| | - A Palotie
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus,
Cambridge, UK
- Institute for Molecular Medicine Finland (FIMM), University of
Helsinki, Helsinki, Finland
- Department of Medical Genetics, University of Helsinki and
University Central Hospital, Helsinki, Finland
| | - Y-C Hsieh
- School of Public Health, Taipei Medical University, Taipei,
Taiwan
| | - JG Eriksson
- Folkhälsan Research Centre, Helsinki, Finland
- Department of General Practice and Primary Health Care,
University of Helsinki, Helsinki, Finland
- National Institute for Health and Welfare, Helsinki,
Finland
- Helsinki University Central Hospital, Unit of General Practice,
Helsinki, Finland
- Vasa Central Hospital, Vasa, Finland
| | - A Penman
- Center of Biostatistics and Bioinformatics, University of
Mississippi Medical Center, Jackson, MS, USA
| | - RF Gottesman
- Department of Neurology, Johns Hopkins University School of
Medicine, Baltimore, MD, USA
| | - BA Oostra
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus
University Medical Center, Rotterdam, The Netherlands
| | - L Yu
- Rush Alzheimer's Disease Center, Rush University Medical
Center, Chicago, IL, USA
| | - AL DeStefano
- Department of Neurology, Boston University School of Medicine,
Boston, MA, USA
- The National Heart Lung and Blood Institute's Framingham Heart
Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public
Health, Boston, MA, USA
| | - A Beiser
- Department of Neurology, Boston University School of Medicine,
Boston, MA, USA
- The National Heart Lung and Blood Institute's Framingham Heart
Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public
Health, Boston, MA, USA
| | - M Garcia
- Laboratory of Epidemiology and Population Sciences, National
Institute on Aging, Bethesda, MD, USA
| | - JI Rotter
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los
Angeles, CA, USA
- Institute for Translational Genomics and Population Sciences,
Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA,
USA
- Division of Genetic Outcomes, Department of Pediatrics,
Harbor-UCLA Medical Center, Torrance, CA, USA
| | - MM Nöthen
- Department of Genomics, Life and Brain Research Center,
Institute of Human Genetics, University of Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn,
Germany
| | - A Hofman
- Department of Epidemiology, Erasmus University Medical Center,
Rotterdam, The Netherlands
- Netherlands Consortium for Healthy Ageing, Leiden, The
Netherlands
| | - PE Slagboom
- Department of Molecular Epidemiology, Leiden University Medical
Center, Leiden, The Netherlands
| | - RGJ Westendorp
- Leiden Academy of Vitality and Ageing, Leiden, The
Netherlands
| | - BM Buckley
- Department of Pharmacology and Therapeutics, University College
Cork, Cork, Ireland
| | - PA Wolf
- Department of Neurology, Boston University School of Medicine,
Boston, MA, USA
- The National Heart Lung and Blood Institute's Framingham Heart
Study, Framingham, MA, USA
| | - AG Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center,
Rotterdam, The Netherlands
- Netherlands Consortium for Healthy Ageing, Leiden, The
Netherlands
- Department of Internal Medicine, Erasmus University Medical
Center, Rotterdam, The Netherlands
| | - BM Psaty
- Cardiovascular Health Research Unit, Department of Medicine,
University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle,
WA, USA
- Department of Health Services, University of Washington,
Seattle, WA, USA
- Group Health Research Institute, Group Health, Seattle, WA,
USA
| | - HJ Grabe
- Department of Psychiatry and Psychotherapy, University Medicine
Greifswald, HELIOS-Hospital Stralsund, Stralsund, Germany
| | - S Bandinelli
- Geriatric Unit, Azienda Sanitaria Firenze (ASF), Florence,
Italy
| | - DI Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital,
Boston, MA, USA
| | - F Grodstein
- Channing Division of Network Medicine, Department of Medicine,
Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - K Räikkönen
- Institute of Behavioural Sciences, University of Helsinki,
Helsinki, Finland
| | - J-C Lambert
- Inserm, U1167, Institut Pasteur de Lille, Université
Lille-Nord de France, Lille, France
| | - DJ Porteous
- Centre for Genomic and Experimental Medicine, Institute of
Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | | | - JF Price
- Centre for Population Health Sciences, University of Edinburgh,
Edinburgh, UK
| | - PS Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, UNSW
Medicine, University of New South Wales, Sydney, Australia
- Neuropsychiatric Institute, The Prince of Wales Hospital,
Sydney, NSW, Australia
| | - L Ferrucci
- Translational Gerontology Branch, National Institute on Aging,
Baltimore, MD, USA
| | - JR Attia
- Hunter Medical Research Institute and Faculty of Health,
University of Newcastle, Newcastle, NSW, Australia
| | - I Rudan
- Centre for Population Health Sciences, University of Edinburgh,
Edinburgh, UK
| | - C Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular
Medicine, University of Edinburgh, Edinburgh, UK
| | - AF Wright
- MRC Human Genetics Unit, Institute of Genetics and Molecular
Medicine, University of Edinburgh, Edinburgh, UK
| | - JF Wilson
- Centre for Population Health Sciences, University of Edinburgh,
Edinburgh, UK
| | - S Cichon
- Division of Medical Genetics, Department of Biomedicine,
University of Basel, Basel, Switzerland
- Department of Genomics, Life and Brain Research Center,
Institute of Human Genetics, University of Bonn, Bonn, Germany
- Institute of Neuroscience and Medicine (INM-1), Research Center
Juelich, Juelich, Germany
| | - L Franke
- Department of Genetics, University Medical Centre Groningen,
University of Groningen, Groningen, The Netherlands
| | - H Schmidt
- Department of Neurology, Medical University and General
Hospital of Graz, Graz, Austria
| | - J Ding
- Department of Internal Medicine, Wake Forest University School
of Medicine, Winston-Salem, NC, USA
| | - AJM de Craen
- Department of Gerontology and Geriatrics, Leiden University
Medical Center, Leiden, The Netherlands
| | - M Fornage
- Institute for Molecular Medicine and Human Genetics Center,
University of Texas Health Science Center at Houston, Houston, TX, USA
| | - DA Bennett
- Rush Alzheimer's Disease Center, Rush University Medical
Center, Chicago, IL, USA
| | - IJ Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, The
University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh,
UK
| | - MA Ikram
- Department of Neurology, Erasmus University Medical Center,
Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus University Medical Center,
Rotterdam, The Netherlands
- Netherlands Consortium for Healthy Ageing, Leiden, The
Netherlands
- Department of Radiology, Erasmus University Medical Center,
Rotterdam, The Netherlands
| | - LJ Launer
- Laboratory of Epidemiology and Population Sciences, National
Institute on Aging, Bethesda, MD, USA
| | - AL Fitzpatrick
- Department of Epidemiology, University of Washington, Seattle,
WA, USA
| | - S Seshadri
- Department of Neurology, Boston University School of Medicine,
Boston, MA, USA
- The National Heart Lung and Blood Institute's Framingham Heart
Study, Framingham, MA, USA
| | - CM van Duijn
- Genetic Epidemiology Unit, Department of Epidemiology, Erasmus
University Medical Center, Rotterdam, The Netherlands
- Netherlands Consortium for Healthy Ageing, Leiden, The
Netherlands
| | - TH Mosley
- Department of Medicine and Neurology, University of Mississippi
Medical Center, Jackson, MS, USA
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Kunkle BW, Jaworski J, Barral S, Vardarajan B, Beecham GW, Martin ER, Cantwell LS, Partch A, Bird TD, Raskind WH, DeStefano AL, Carney RM, Cuccaro M, Vance JM, Farrer LA, Goate AM, Foroud T, Mayeux RP, Schellenberg GD, Haines JL, Pericak-Vance MA. Genome-wide linkage analyses of non-Hispanic white families identify novel loci for familial late-onset Alzheimer's disease. Alzheimers Dement 2016; 12:2-10. [PMID: 26365416 PMCID: PMC4717829 DOI: 10.1016/j.jalz.2015.05.020] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2014] [Revised: 05/14/2015] [Accepted: 05/29/2015] [Indexed: 12/13/2022]
Abstract
INTRODUCTION Few high penetrance variants that explain risk in late-onset Alzheimer's disease (LOAD) families have been found. METHODS We performed genome-wide linkage and identity-by-descent (IBD) analyses on 41 non-Hispanic white families exhibiting likely dominant inheritance of LOAD, and having no mutations at known familial Alzheimer's disease (AD) loci, and a low burden of APOE ε4 alleles. RESULTS Two-point parametric linkage analysis identified 14 significantly linked regions, including three novel linkage regions for LOAD (5q32, 11q12.2-11q14.1, and 14q13.3), one of which replicates a genome-wide association LOAD locus, the MS4A6A-MS4A4E gene cluster at 11q12.2. Five of the 14 regions (3q25.31, 4q34.1, 8q22.3, 11q12.2-14.1, and 19q13.41) are supported by strong multipoint results (logarithm of odds [LOD*] ≥1.5). Nonparametric multipoint analyses produced an additional significant locus at 14q32.2 (LOD* = 4.18). The 1-LOD confidence interval for this region contains one gene, C14orf177, and the microRNA Mir_320, whereas IBD analyses implicates an additional gene BCL11B, a regulator of brain-derived neurotrophic signaling, a pathway associated with pathogenesis of several neurodegenerative diseases. DISCUSSION Examination of these regions after whole-genome sequencing may identify highly penetrant variants for familial LOAD.
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Affiliation(s)
- Brian W Kunkle
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - James Jaworski
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Sandra Barral
- The Taub Institute of Research on Alzheimer's Disease, College of Physicians and Surgeons, Columbia University, New York, NY, USA; The Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA; Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Badri Vardarajan
- The Taub Institute of Research on Alzheimer's Disease, College of Physicians and Surgeons, Columbia University, New York, NY, USA; The Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA; Hope Center for Neurological Disorders, Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Gary W Beecham
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Eden R Martin
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Laura S Cantwell
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Amanda Partch
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Thomas D Bird
- Department of Neurology, University of Washington, Seattle, WA, USA; Department of Medicine, University of Washington, Seattle, WA, USA
| | - Wendy H Raskind
- Department of Medicine, University of Washington, Seattle, WA, USA; Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - Anita L DeStefano
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Regina M Carney
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA; Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Michael Cuccaro
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA; Dr. John T. Macdonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Jeffrey M Vance
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA; Dr. John T. Macdonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Lindsay A Farrer
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA; Department of Medicine (Biomedical Genetics), Boston University School of Medicine and Public Health, MA, USA; Department of Neurology, Boston University School of Medicine and Public Health, MA, USA; Department of Ophthalmology, Boston University School of Medicine and Public Health, MA, USA; Department of Epidemiology, Boston University School of Public Health, MA, USA
| | - Alison M Goate
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA; Hope Center for Neurological Disorders, Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Richard P Mayeux
- The Taub Institute of Research on Alzheimer's Disease, College of Physicians and Surgeons, Columbia University, New York, NY, USA; The Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA; Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA; Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY, USA; The Department of Epidemiology, School of Public Health, Columbia University, New York, NY, USA
| | - Gerard D Schellenberg
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jonathan L Haines
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
| | - Margaret A Pericak-Vance
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA; Dr. John T. Macdonald Foundation Department of Human Genetics, Miller School of Medicine, University of Miami, Miami, FL, USA.
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49
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Cyclooxygenase-2 gene polymorphisms and risk of Alzheimer's disease: A meta-analysis. J Neurol Sci 2015; 359:100-5. [PMID: 26671095 DOI: 10.1016/j.jns.2015.10.053] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2015] [Revised: 10/26/2015] [Accepted: 10/29/2015] [Indexed: 01/16/2023]
Abstract
PURPOSE Cyclooxygenase-2 (COX-2) is one of the key enzymes in the synthesis of prostaglandins, and plays a pivotal role in inflammatory response. Recent studies have suggested cyclooxygenase-2 is involved in the pathogenesis of Alzheimer's disease (AD). However, the relationship between COX-2 gene polymorphisms (-765G>C rs20417, -1195A>G rs689466) and Alzheimer's disease risk is not conclusive. We conducted a meta-analysis to systematically examine and to clarify the association between the two SNPs and AD risk. METHODS PubMed, EMBASE, Web of Science, Cochrane Library and CBMdisc were searched in July 2015 to identify eligible studies. Odds ratio (OR) and 95% confidence intervals (95% CI) were used to assess the strength of association. RESULTS A total of 7 case-control studies about COX-2 rs20417 polymorphisms and AD risk, and 3 studies about COX-2 rs689466 and AD risk were included in this meta-analysis. For rs20417 (-765G>C), there was a significant association between rs20417 and AD, and the risk for AD decreased in all gene models (C allele versus G allele: OR=0.570 CI 0.484-0.672; CC+GC versus GG: OR=0.568 CI 0.470-0.686; CC versus GC+GG: OR=0.357, CI 0.217-0.587; CC versus GG: OR=0.311, CI 0.189-0.514; GC versus GG: OR=0.613 CI 0.503-0.746). CONCLUSION C-allele of rs20417 (-765G>C) polymorphism was associated with reduced risk of AD, and might be a protective factor. Because of the limit sample and heterogeneity, the association between rs689466 polymorphism and AD risk should be treated with caution. To further confirm this relationship, larger-scale and better-designed studies should be conducted in the future.
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50
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Talwar P, Sinha J, Grover S, Rawat C, Kushwaha S, Agarwal R, Taneja V, Kukreti R. Dissecting Complex and Multifactorial Nature of Alzheimer's Disease Pathogenesis: a Clinical, Genomic, and Systems Biology Perspective. Mol Neurobiol 2015; 53:4833-64. [PMID: 26351077 DOI: 10.1007/s12035-015-9390-0] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2015] [Accepted: 08/11/2015] [Indexed: 01/14/2023]
Abstract
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by loss of memory and other cognitive functions. AD can be classified into familial AD (FAD) and sporadic AD (SAD) based on heritability and into early onset AD (EOAD) and late onset AD (LOAD) based on age of onset. LOAD cases are more prevalent with genetically complex architecture. In spite of significant research focused on understanding the etiological mechanisms, search for diagnostic biomarker(s) and disease-modifying therapy is still on. In this article, we aim to comprehensively review AD literature on established etiological mechanisms including role of beta-amyloid and apolipoprotein E (APOE) along with promising newer etiological factors such as epigenetic modifications that have been associated with AD suggesting its multifactorial nature. As genomic studies have recently played a significant role in elucidating AD pathophysiology, a systematic review of findings from genome-wide linkage (GWL), genome-wide association (GWA), genome-wide expression (GWE), and epigenome-wide association studies (EWAS) was conducted. The availability of multi-dimensional genomic data has further coincided with the advent of computational and network biology approaches in recent years. Our review highlights the importance of integrative approaches involving genomics and systems biology perspective in elucidating AD pathophysiology. The promising newer approaches may provide reliable means of early and more specific diagnosis and help identify therapeutic interventions for LOAD.
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Affiliation(s)
- Puneet Talwar
- Academy of Scientific and Innovative Research (AcSIR), CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB) Campus, New Delhi, India.,Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi, 110 007, India
| | - Juhi Sinha
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi, 110 007, India
| | - Sandeep Grover
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi, 110 007, India.,Department of Paediatrics, Division of Pneumonology-Immunology, Charité University Medical Centre, Berlin, Germany
| | - Chitra Rawat
- Academy of Scientific and Innovative Research (AcSIR), CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB) Campus, New Delhi, India.,Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi, 110 007, India
| | - Suman Kushwaha
- Institute of Human Behaviour and Allied Sciences (IHBAS), Delhi, India
| | - Rachna Agarwal
- Institute of Human Behaviour and Allied Sciences (IHBAS), Delhi, India
| | - Vibha Taneja
- Department of Research, Sir Ganga Ram Hospital, New Delhi, India
| | - Ritushree Kukreti
- Academy of Scientific and Innovative Research (AcSIR), CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB) Campus, New Delhi, India. .,Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi, 110 007, India.
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