Genome-wide analysis of genetic predisposition to Alzheimer’s disease and related sex disparities

BackgroundAlzheimer’s disease (AD) is the most common cause of dementia in the elderly and the sixth leading cause of death in the United States. AD is mainly considered a complex disorder with polygenic inheritance. Despite discovering many susceptibility loci, a major proportion of AD genetic variance remains to be explained.MethodsWe investigated the genetic architecture of AD in four publicly available independent datasets through genome-wide association, transcriptome-wide association, and gene-based and pathway-based analyses. To explore differences in the genetic basis of AD between males and females, analyses were performed on three samples in each dataset: males and females combined, only males, or only females.ResultsOur genome-wide association analyses corroborated the associations of several previously detected AD loci and revealed novel significant associations of 35 single-nucleotide polymorphisms (SNPs) outside the chromosome 19q13 region at the suggestive significance level of p < 5E–06. These SNPs were mapped to 21 genes in 19 chromosomal regions. Of these, 17 genes were not associated with AD at genome-wide or suggestive levels of associations by previous genome-wide association studies. Also, the chromosomal regions corresponding to 8 genes did not contain any previously detected AD-associated SNPs with p < 5E–06. Our transcriptome-wide association and gene-based analyses revealed that 26 genes located in 20 chromosomal regions outside chromosome 19q13 had evidence of potential associations with AD at a false discovery rate of 0.05. Of these, 13 genes/regions did not contain any previously AD-associated SNPs at genome-wide or suggestive levels of associations. Most of the newly detected AD-associated SNPs and genes were sex specific, indicating sex disparities in the genetic basis of AD. Also, 7 of 26 pathways that showed evidence of associations with AD in our pathway-bases analyses were significant only in females.ConclusionsOur findings, particularly the newly discovered sex-specific genetic contributors, provide novel insight into the genetic architecture of AD and can advance our understanding of its pathogenesis.

[1]  G. Ricevuti,et al.  Alzheimer disease and platelets: how’s that relevant , 2012, Immunity & Ageing.

[2]  J. Morris,et al.  The diagnosis of dementia due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer's disease , 2011, Alzheimer's & Dementia.

[3]  Oscar L Lopez,et al.  Variants in the ATP-binding cassette transporter (ABCA7), apolipoprotein E ϵ4,and the risk of late-onset Alzheimer disease in African Americans. , 2013, JAMA.

[4]  J. Molinuevo,et al.  Breakpoint sequence analysis of an AβPP locus duplication associated with autosomal dominant Alzheimer's disease and severe cerebral amyloid angiopathy. , 2012, Journal of Alzheimer's disease : JAD.

[5]  Nick C Fox,et al.  Common variants in ABCA7, MS4A6A/MS4A4E, EPHA1, CD33 and CD2AP are associated with Alzheimer’s disease , 2011, Nature Genetics.

[6]  Sudha Seshadri,et al.  Genome-wide analysis of genetic loci associated with Alzheimer disease. , 2010, JAMA.

[7]  C. Petit,et al.  Cadherins as targets for genetic diseases. , 2010, Cold Spring Harbor perspectives in biology.

[8]  D. Drucker,et al.  International Union of Pharmacology. XXXV. The Glucagon Receptor Family , 2003, Pharmacological Reviews.

[9]  Qiang Liu,et al.  Lipid metabolism in Alzheimer’s disease , 2013, Neuroscience Bulletin.

[10]  S E Poduslo,et al.  Genome screen of late‐onset Alzheimer's extended pedigrees identifies TRPC4AP by haplotype analysis , 2009, American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics.

[11]  Hemant K Tiwari,et al.  Problems with Genome-Wide Association Studies , 2007, Science.

[12]  R. Keep,et al.  Brain Endothelial Cell-Cell Junctions: How to “Open” the Blood Brain Barrier , 2008, Current neuropharmacology.

[13]  Kevin L. Boehme,et al.  Assessment of the genetic variance of late-onset Alzheimer's disease , 2016, Neurobiology of Aging.

[14]  D. Bates,et al.  Fitting Linear Mixed-Effects Models Using lme4 , 2014, 1406.5823.

[15]  R. Ye,et al.  Role of G protein-coupled receptors in inflammation , 2012, Acta Pharmacologica Sinica.

[16]  Richard Leslie,et al.  GRASP: analysis of genotype-phenotype results from 1390 genome-wide association studies and corresponding open access database , 2014, Bioinform..

[17]  Brian Lawlor,et al.  Genome-wide Association Study of Alzheimer’s disease with Psychotic Symptoms , 2011, Molecular Psychiatry.

[18]  Thawfeek M. Varusai,et al.  The Reactome Pathway Knowledgebase , 2017, Nucleic acids research.

[19]  T. Bird Genetic aspects of Alzheimer disease , 2008, Genetics in Medicine.

[20]  A. Yashin,et al.  Hidden heterogeneity in Alzheimer's disease: Insights from genetic association studies and other analyses , 2017, Experimental Gerontology.

[21]  Reedik Mägi,et al.  GWAMA: software for genome-wide association meta-analysis , 2010, BMC Bioinformatics.

[22]  K. Lunetta,et al.  Meta-analysis confirms CR1, CLU, and PICALM as alzheimer disease risk loci and reveals interactions with APOE genotypes. , 2010, Archives of neurology.

[23]  Zoltán Kutalik,et al.  Quality control and conduct of genome-wide association meta-analyses , 2014, Nature Protocols.

[24]  A. Scaloni,et al.  Platelet-derived Growth Factor Induces the β-γ-Secretase-mediated Cleavage of Alzheimer's Amyloid Precursor Protein through a Src-Rac-dependent Pathway* , 2003, The Journal of Biological Chemistry.

[25]  Kevin F. Bieniek,et al.  Tau pathology in frontotemporal lobar degeneration with C9ORF72 hexanucleotide repeat expansion , 2013, Acta Neuropathologica.

[26]  Nick C Fox,et al.  Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease , 2013, Nature Genetics.

[27]  Mitchell J. Machiela,et al.  LDlink: a web-based application for exploring population-specific haplotype structure and linking correlated alleles of possible functional variants , 2015, Bioinform..

[28]  C. DeCarli,et al.  Genetic correlates of brain aging on MRI and cognitive test measures: a genome-wide association and linkage analysis in the Framingham study , 2007, BMC Medical Genetics.

[29]  M. Daly,et al.  PGC-1α-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes , 2003, Nature Genetics.

[30]  J. Haines,et al.  SORL1 Is Genetically Associated with Late-Onset Alzheimer’s Disease in Japanese, Koreans and Caucasians , 2013, PloS one.

[31]  Stavros J. Baloyannis Golgi apparatus and protein trafficking in Alzheimer's disease. , 2014, Journal of Alzheimer's disease : JAD.

[32]  Qiong Yang,et al.  The Third Generation Cohort of the National Heart, Lung, and Blood Institute's Framingham Heart Study: design, recruitment, and initial examination. , 2007, American journal of epidemiology.

[33]  Casey S. Greene,et al.  Failure to Replicate a Genetic Association May Provide Important Clues About Genetic Architecture , 2009, PloS one.

[34]  Xinsheng Yao,et al.  Epidermal growth factor receptor is a preferred target for treating Amyloid-β–induced memory loss , 2012, Proceedings of the National Academy of Sciences.

[35]  Jian Yang,et al.  Predicting gene targets from integrative analyses of summary data from GWAS and eQTL studies for 28 human complex traits , 2016, Genome Medicine.

[36]  E. Wijsman,et al.  Genome-Wide Association of Familial Late-Onset Alzheimer's Disease Replicates BIN1 and CLU and Nominates CUGBP2 in Interaction with APOE , 2011, PLoS genetics.

[37]  Thomas W. Mühleisen,et al.  The role of variation at AβPP, PSEN1, PSEN2, and MAPT in late onset Alzheimer's disease. , 2012, Journal of Alzheimer's disease : JAD.

[38]  W. Kukull,et al.  Accuracy of the Clinical Diagnosis of Alzheimer Disease at National Institute on Aging Alzheimer Disease Centers, 2005–2010 , 2012, Journal of neuropathology and experimental neurology.

[39]  James T Becker,et al.  The membrane-spanning 4-domains, subfamily A (MS4A) gene cluster contains a common variant associated with Alzheimer's disease , 2011, Genome Medicine.

[40]  Marylyn D. Ritchie,et al.  Imputation and quality control steps for combining multiple genome-wide datasets , 2014, Front. Genet..

[41]  Stephen Todd,et al.  Survival in dementia and predictors of mortality: a review , 2013, International journal of geriatric psychiatry.

[42]  Peter M. Visscher,et al.  Fast set-based association analysis using summary data from GWAS identifies novel gene loci for human complex traits , 2016, Scientific Reports.

[43]  Richard Mayeux,et al.  Epidemiology of neurodegeneration. , 2003, Annual review of neuroscience.

[44]  R. Mayeux,et al.  C9orf72 hexanucleotide repeat expansions in clinical Alzheimer disease. , 2013, JAMA neurology.

[45]  Zein Al-Atrache,et al.  CHLAMYDIA PNEUMONIAE-INFECTED ASTROCYTES ALTER THEIR EXPRESSION OF ADAM10, BACE1, AND PRESENILIN-1 PROTEASES , 2016, Alzheimer's & Dementia.

[46]  Robert C Green,et al.  A comprehensive genetic association study of Alzheimer disease in African Americans. , 2011, Archives of neurology.

[47]  W. Kannel,et al.  The Framingham Offspring Study. Design and preliminary data. , 1975, Preventive medicine.

[48]  J. Schulz,et al.  Death receptor Fas (CD95) signaling in the central nervous system: tuning neuroplasticity? , 2008, Trends in Neurosciences.

[49]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .

[50]  Walter J. Lukiw,et al.  Regulation of Complement Factor H (CFH) by Multiple miRNAs in Alzheimer’s Disease (AD) Brain , 2012, Molecular Neurobiology.

[51]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[52]  Sudha Seshadri,et al.  δ-Catenin Is Genetically and Biologically Associated with Cortical Cataract and Future Alzheimer-Related Structural and Functional Brain Changes , 2012, PloS one.

[53]  Anna Kalbarczyk,et al.  Sex and gender differences in Alzheimer's disease: recommendations for future research. , 2012, Journal of women's health.

[54]  P. Allison,et al.  Comparing Logit and Probit Coefficients Across Groups , 1999 .

[55]  Jing Zhao,et al.  The Genetic Architecture of Gene Expression in Peripheral Blood. , 2017, American journal of human genetics.

[56]  D. G. Clark,et al.  Common variants in MS4A4/MS4A6E, CD2uAP, CD33, and EPHA1 are associated with late-onset Alzheimer’s disease , 2011, Nature Genetics.

[57]  David Haussler,et al.  The UCSC Genome Browser database: 2018 update , 2017, Nucleic Acids Res..

[58]  J. O’Connell,et al.  Accounting for Relatedness in Family Based Genetic Association Studies , 2007, Human Heredity.

[59]  L. Kuller,et al.  Enhanced risk for Alzheimer disease in persons with type 2 diabetes and APOE epsilon4: the Cardiovascular Health Study Cognition Study. , 2008, Archives of neurology.

[60]  W. Lester,et al.  Sex-specific patterns and differences in dementia and Alzheimer’s disease using informatics approaches , 2016, Journal of women & aging.

[61]  Francis S Collins,et al.  Policy: NIH to balance sex in cell and animal studies , 2014, Nature.

[62]  J. Haines,et al.  Gene dose of apolipoprotein E type 4 allele and the risk of Alzheimer's disease in late onset families. , 1993, Science.

[63]  P. Deyn,et al.  C9orf72 G4C2 repeat expansions in Alzheimer's disease and mild cognitive impairment , 2013, Neurobiology of Aging.

[64]  David Kulp,et al.  A guide to genome‐wide association analysis and post‐analytic interrogation , 2015, Statistics in medicine.

[65]  J. Bigby Harrison's Principles of Internal Medicine , 1988 .

[66]  Josyf Mychaleckyj,et al.  Robust relationship inference in genome-wide association studies , 2010, Bioinform..

[67]  J. Buckwalter,et al.  Cognitive deficits of men and women with Alzheimer's disease , 1994, Neurology.

[68]  Alzheimer's Disease Neuroimaging Initiative,et al.  Genome-wide association with MRI atrophy measures as a quantitative trait locus for Alzheimer's disease , 2011, Molecular Psychiatry.

[69]  C. Jack,et al.  NIA-AA Research Framework: Toward a biological definition of Alzheimer’s disease , 2018, Alzheimer's & Dementia.

[70]  P. Hawkins,et al.  PI3Kγ Is a Key Regulator of Inflammatory Responses and Cardiovascular Homeostasis , 2007, Science.

[71]  David Haussler,et al.  The UCSC genome browser database: update 2007 , 2006, Nucleic Acids Res..

[72]  A. J. Slater,et al.  Candidate single-nucleotide polymorphisms from a genomewide association study of Alzheimer disease. , 2008, Archives of neurology.

[73]  P. Vemuri,et al.  Clinical epidemiology of Alzheimer’s disease: assessing sex and gender differences , 2014, Clinical epidemiology.

[74]  L. Horstman,et al.  Platelet activation in Alzheimer disease. , 1998, Archives of neurology.

[75]  Pablo Tamayo,et al.  Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[76]  James T Becker,et al.  Effect of Alzheimer's disease risk genes on trajectories of cognitive function in the Cardiovascular Health Study. , 2012, The American journal of psychiatry.

[77]  M Mancuso,et al.  Genome-wide haplotype association study identifies the FRMD4A gene as a risk locus for Alzheimer's disease , 2012, Molecular Psychiatry.

[78]  Kenneth H. Buetow,et al.  PID: the Pathway Interaction Database , 2008, Nucleic Acids Res..

[79]  L. Fratiglioni,et al.  Role of genes and environments for explaining Alzheimer disease. , 2006, Archives of general psychiatry.

[80]  V. Pankratz,et al.  Genetic variation in PCDH11X is associated with susceptibility to late-onset Alzheimer's disease , 2009, Nature Genetics.

[81]  F. LaFerla,et al.  Alzheimer's disease. , 2010, The New England journal of medicine.

[82]  Eden R Martin,et al.  No gene is an island: the flip-flop phenomenon. , 2007, American journal of human genetics.

[83]  David B Goldstein,et al.  Genome-wide scan of copy number variation in late-onset Alzheimer's disease. , 2010, Journal of Alzheimer's disease : JAD.

[84]  C. Cotman,et al.  Fas and Fas Ligand are associated with neuritic degeneration in the AD brain and participate in β-amyloid-induced neuronal death , 2003, Neurobiology of Disease.

[85]  R. Kronmal,et al.  The Cardiovascular Health Study: design and rationale. , 1991, Annals of epidemiology.

[86]  O. Delaneau,et al.  A linear complexity phasing method for thousands of genomes , 2011, Nature Methods.

[87]  Terrence S. Furey,et al.  The UCSC Genome Browser Database: update 2006 , 2005, Nucleic Acids Res..

[88]  Andrew J. Saykin,et al.  Hippocampal Atrophy as a Quantitative Trait in a Genome-Wide Association Study Identifying Novel Susceptibility Genes for Alzheimer's Disease , 2009, PloS one.

[89]  G. Cole,et al.  PAK in Alzheimer disease, Huntington disease and X-linked mental retardation , 2012, Cellular logistics.

[90]  K. Nho,et al.  Alzheimer's disease genetic risk variants beyond APOE ε4 predict mortality , 2017, Alzheimer's & dementia.

[91]  Iryna Leshchyns’ka,et al.  Synaptic Cell Adhesion Molecules in Alzheimer's Disease , 2016, Neural plasticity.

[92]  T. Dawber,et al.  Epidemiological approaches to heart disease: the Framingham Study. , 1951, American journal of public health and the nation's health.

[93]  Nicola J. Rinaldi,et al.  Genetic effects on gene expression across human tissues , 2017, Nature.

[94]  A. Yashin,et al.  Explicating heterogeneity of complex traits has strong potential for improving GWAS efficiency , 2016, Scientific Reports.

[95]  P. Visscher,et al.  Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets , 2016, Nature Genetics.

[96]  P. Bosco,et al.  APOE and Alzheimer disease: a major gene with semi-dominant inheritance , 2011, Molecular Psychiatry.

[97]  G. Schellenberg,et al.  Genome-wide association reveals genetic effects on human Aβ42 and τ protein levels in cerebrospinal fluids: a case control study , 2010, BMC neurology.

[98]  Y. Takai,et al.  The role of nectins in different types of cell–cell adhesion , 2012, Journal of Cell Science.

[99]  John R Thompson,et al.  Biostatistical Aspects of Genome‐Wide Association Studies , 2008, Biometrical journal. Biometrische Zeitschrift.

[100]  D. Geschwind,et al.  Atypical, slowly progressive behavioural variant frontotemporal dementia associated with C9ORF72 hexanucleotide expansion , 2012, Journal of Neurology, Neurosurgery & Psychiatry.

[101]  M. Pericak-Vance,et al.  Linkage studies in familial Alzheimer disease: evidence for chromosome 19 linkage. , 1991, American journal of human genetics.

[102]  J. Weuve,et al.  2016 Alzheimer's disease facts and figures , 2016 .

[103]  Holly Soares,et al.  Meta-Analysis for Genome-Wide Association Study Identifies Multiple Variants at the BIN1 Locus Associated with Late-Onset Alzheimer's Disease , 2011, PloS one.

[104]  Alan M. Kwong,et al.  Next-generation genotype imputation service and methods , 2016, Nature Genetics.

[105]  Magda Tsolaki,et al.  Mitochondrial genes are altered in blood early in Alzheimer's disease , 2017, Neurobiology of Aging.

[106]  A Hofman,et al.  Gender differences in the incidence of AD and vascular dementia , 1999, Neurology.

[107]  Simon C. Potter,et al.  Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls , 2007, Nature.

[108]  Catherine C. Kaczorowski,et al.  Hippocampal proteomics defines pathways associated with memory decline and resilience in normal aging and Alzheimer’s disease mouse models , 2017, Behavioural Brain Research.

[109]  A. Talukder,et al.  CRIPak, a novel endogenous Pak1 inhibitor , 2006, Oncogene.

[110]  Manuel A. R. Ferreira,et al.  PLINK: a tool set for whole-genome association and population-based linkage analyses. , 2007, American journal of human genetics.

[111]  Timothy A Thornton,et al.  Robust Inference of Population Structure for Ancestry Prediction and Correction of Stratification in the Presence of Relatedness , 2015, Genetic epidemiology.

[112]  A. Yashin,et al.  Uncoupling associations of risk alleles with endophenotypes and phenotypes: insights from the ApoB locus and heart‐related traits , 2016, Aging cell.

[113]  Svetlana Ukraintseva,et al.  haploR: an R package for querying web-based annotation tools , 2017, F1000Research.

[114]  M. Bekier,et al.  Golgi fragmentation in Alzheimer's disease , 2015, Front. Neurosci..

[115]  N. Greig,et al.  A novel neurotrophic property of glucagon-like peptide 1: a promoter of nerve growth factor-mediated differentiation in PC12 cells. , 2002, The Journal of pharmacology and experimental therapeutics.

[116]  David A Bennett,et al.  Sex differences in the clinical manifestations of Alzheimer disease pathology. , 2005, Archives of general psychiatry.

[117]  Amanda Sonnega,et al.  Cohort Profile: the Health and Retirement Study (HRS). , 2014, International journal of epidemiology.

[118]  P. Visscher,et al.  GCTA: a tool for genome-wide complex trait analysis. , 2011, American journal of human genetics.

[119]  E. Masliah,et al.  PDGF is associated with neuronal and glial alterations of Alzheimer's disease , 1995, Neurobiology of Aging.

[120]  R. Mayeux,et al.  Analyses of the National Institute on Aging Late-Onset Alzheimer's Disease Family Study: implication of additional loci. , 2008, Archives of neurology.

[121]  David Haussler,et al.  The UCSC Genome Browser Database: 2008 update , 2007, Nucleic Acids Res..

[122]  G. Tosto,et al.  Genetics of Alzheimer’s Disease: the Importance of Polygenic and Epistatic Components , 2017, Current Neurology and Neuroscience Reports.

[123]  Liang He,et al.  Apolipoprotein E region molecular signatures of Alzheimer's disease , 2018, Aging cell.

[124]  Robert C. Green,et al.  Genome-wide association study of the rate of cognitive decline in Alzheimer's disease , 2014, Alzheimer's & Dementia.