Integrated Enrichment Analysis of Variants and Pathways in Genome-Wide Association Studies Indicates Central Role for IL-2 Signaling Genes in Type 1 Diabetes, and Cytokine Signaling Genes in Crohn's Disease

Pathway analyses of genome-wide association studies aggregate information over sets of related genes, such as genes in common pathways, to identify gene sets that are enriched for variants associated with disease. We develop a model-based approach to pathway analysis, and apply this approach to data from the Wellcome Trust Case Control Consortium (WTCCC) studies. Our method offers several benefits over existing approaches. First, our method not only interrogates pathways for enrichment of disease associations, but also estimates the level of enrichment, which yields a coherent way to promote variants in enriched pathways, enhancing discovery of genes underlying disease. Second, our approach allows for multiple enriched pathways, a feature that leads to novel findings in two diseases where the major histocompatibility complex (MHC) is a major determinant of disease susceptibility. Third, by modeling disease as the combined effect of multiple markers, our method automatically accounts for linkage disequilibrium among variants. Interrogation of pathways from eight pathway databases yields strong support for enriched pathways, indicating links between Crohn's disease (CD) and cytokine-driven networks that modulate immune responses; between rheumatoid arthritis (RA) and “Measles” pathway genes involved in immune responses triggered by measles infection; and between type 1 diabetes (T1D) and IL2-mediated signaling genes. Prioritizing variants in these enriched pathways yields many additional putative disease associations compared to analyses without enrichment. For CD and RA, 7 of 8 additional non-MHC associations are corroborated by other studies, providing validation for our approach. For T1D, prioritization of IL-2 signaling genes yields strong evidence for 7 additional non-MHC candidate disease loci, as well as suggestive evidence for several more. Of the 7 strongest associations, 4 are validated by other studies, and 3 (near IL-2 signaling genes RAF1, MAPK14, and FYN) constitute novel putative T1D loci for further study.

[1]  N. Tandon Understanding type 1 diabetes through genetics: Advances and prospects , 2015, Indian journal of endocrinology and metabolism.

[2]  Xiang Zhou,et al.  Polygenic Modeling with Bayesian Sparse Linear Mixed Models , 2012, PLoS genetics.

[3]  Eli Stahl,et al.  High density genetic mapping identifies new susceptibility loci for rheumatoid arthritis , 2012, Nature Genetics.

[4]  Manolis Kellis,et al.  Interpreting non-coding variation in complex disease genetics , 2012, Nature Biotechnology.

[5]  David C. Wilson,et al.  Host-microbe interactions have shaped the genetic architecture of inflammatory bowel disease , 2012, Nature.

[6]  Eurie L. Hong,et al.  Annotation of functional variation in personal genomes using RegulomeDB , 2012, Genome research.

[7]  M. Pirinen,et al.  Including known covariates can reduce power to detect genetic effects in case-control studies , 2012, Nature Genetics.

[8]  Jason H. Moore,et al.  Pathway analysis of genomic data: concepts, methods, and prospects for future development. , 2012, Trends in genetics : TIG.

[9]  Colm O'Dushlaine,et al.  INRICH: interval-based enrichment analysis for genome-wide association studies , 2012, Bioinform..

[10]  Bjarni J. Vilhjálmsson,et al.  An efficient multi-locus mixed model approach for genome-wide association studies in structured populations , 2012, Nature Genetics.

[11]  Zhaoxia Yu,et al.  A pathway analysis method for genome‐wide association studies , 2012, Statistics in medicine.

[12]  Steven P. Lund,et al.  A Bayesian Integrative Genomic Model for Pathway Analysis of Complex Traits , 2012, Genetic epidemiology.

[13]  Linda S. Wicker,et al.  Type 1 Diabetes-Associated IL2RA Variation Lowers IL-2 Signaling and Contributes to Diminished CD4+CD25+ Regulatory T Cell Function , 2012, The Journal of Immunology.

[14]  P. Elliott,et al.  Dysfunction of lipid sensor GPR120 leads to obesity in both mouse and human , 2012, Nature.

[15]  M. Stephens,et al.  Scalable Variational Inference for Bayesian Variable Selection in Regression, and Its Accuracy in Genetic Association Studies , 2012 .

[16]  Andre Franke,et al.  1000 Genomes-based imputation identifies novel and refined associations for the Wellcome Trust Case Control Consortium phase 1 Data , 2012, European Journal of Human Genetics.

[17]  Joseph K. Pickrell,et al.  DNaseI sensitivity QTLs are a major determinant of human expression variation , 2011, Nature.

[18]  Chris T. A. Evelo,et al.  WikiPathways: building research communities on biological pathways , 2011, Nucleic Acids Res..

[19]  Mary Goldman,et al.  The UCSC Genome Browser database: extensions and updates 2011 , 2011, Nucleic Acids Res..

[20]  S. Batzoglou,et al.  Linking disease associations with regulatory information in the human genome , 2012, Genome research.

[21]  Matthew Stephens,et al.  Dissecting the regulatory architecture of gene expression QTLs , 2012, Genome Biology.

[22]  Zhongming Zhao,et al.  A bias-reducing pathway enrichment analysis of genome-wide association data confirmed association of the MHC region with schizophrenia , 2011, Journal of Medical Genetics.

[23]  Mark A. Atkinson,et al.  Central Role for Interleukin-2 in Type 1 Diabetes , 2011, Diabetes.

[24]  M. Stephens,et al.  Bayesian variable selection regression for genome-wide association studies and other large-scale problems , 2011, 1110.6019.

[25]  Gerbert A. Jansen,et al.  Critical assessment of human metabolic pathway databases: a stepping stone for future integration , 2011, BMC Systems Biology.

[26]  Olivia J Veatch,et al.  Strategies for Pathway Analysis from GWAS Data , 2011, Current protocols in human genetics.

[27]  Sumit K. Chanda,et al.  Tumor suppressor protein (p)53, is a regulator of NF-κB repression by the glucocorticoid receptor , 2011, Proceedings of the National Academy of Sciences.

[28]  Hariklia Eleftherohorinou,et al.  Pathway-driven gene stability selection of two rheumatoid arthritis GWAS identifies and validates new susceptibility genes in receptor mediated signalling pathways. , 2011, Human molecular genetics.

[29]  J. Shendure,et al.  Needles in stacks of needles: finding disease-causal variants in a wealth of genomic data , 2011, Nature Reviews Genetics.

[30]  Kasper Lage,et al.  Pervasive Sharing of Genetic Effects in Autoimmune Disease , 2011, PLoS genetics.

[31]  C. Begg,et al.  Assessment of rare BRCA1 and BRCA2 variants of unknown significance using hierarchical modeling , 2011, Genetic epidemiology.

[32]  Peilin Jia,et al.  Gene set analysis of genome-wide association studies: methodological issues and perspectives. , 2011, Genomics.

[33]  上田 裕紀 Etiology of type 1 diabetes , 2011 .

[34]  J. Rioux,et al.  Crohn disease: A current perspective on genetics, autophagy and immunity , 2011, Autophagy.

[35]  Judy H. Cho,et al.  Incorporating Biological Pathways via a Markov Random Field Model in Genome-Wide Association Studies , 2011, PLoS genetics.

[36]  M. Gill,et al.  Molecular pathways involved in neuronal cell adhesion and membrane scaffolding contribute to schizophrenia and bipolar disorder susceptibility , 2011, Molecular Psychiatry.

[37]  Xi Chen,et al.  An efficient hierarchical generalized linear mixed model for pathway analysis of genome-wide association studies , 2011, Bioinform..

[38]  K. Buetow,et al.  Pathways of Distinction Analysis: A New Technique for Multi–SNP Analysis of GWAS Data , 2010, PLoS genetics.

[39]  Gary D. Bader,et al.  Pathway Commons, a web resource for biological pathway data , 2010, Nucleic Acids Res..

[40]  Lincoln Stein,et al.  Reactome: a database of reactions, pathways and biological processes , 2010, Nucleic Acids Res..

[41]  E. Szigethy,et al.  Inflammatory bowel disease. , 2011, Pediatric clinics of North America.

[42]  Dr R B McCONNEDL The Genetics of Inflammatory Bowel Disease , 1979 .

[43]  M. V. von Herrath,et al.  Type 1 diabetes: etiology, immunology, and therapeutic strategies. , 2011, Physiological reviews.

[44]  Qianchuan He,et al.  BIOINFORMATICS ORIGINAL PAPER , 2022 .

[45]  Bart De Moor,et al.  A guide to web tools to prioritize candidate genes , 2011, Briefings Bioinform..

[46]  Mark I McCarthy,et al.  Genomics, type 2 diabetes, and obesity. , 2010, The New England journal of medicine.

[47]  Tariq Ahmad,et al.  Genome-wide meta-analysis increases to 71 the number of confirmed Crohn's disease susceptibility loci , 2010, Nature Genetics.

[48]  H. Hakonarson,et al.  Analysing biological pathways in genome-wide association studies , 2010, Nature Reviews Genetics.

[49]  J. Achkar,et al.  ATG16L1 and NOD2 interact in an autophagy-dependent antibacterial pathway implicated in Crohn's disease pathogenesis. , 2010, Gastroenterology.

[50]  X. Chen,et al.  Pathway‐based analysis for genome‐wide association studies using supervised principal components , 2010, Genetic epidemiology.

[51]  Annette Lee,et al.  Locus category based analysis of a large genome-wide association study of rheumatoid arthritis. , 2010, Human molecular genetics.

[52]  Gary D Bader,et al.  BioPAX – A community standard for pathway data sharing , 2010, Nature Biotechnology.

[53]  D. Serie,et al.  Bayesian mixture models for the incorporation of prior knowledge to inform genetic association studies , 2010, Genetic epidemiology.

[54]  J. Marchini,et al.  Genotype imputation for genome-wide association studies , 2010, Nature Reviews Genetics.

[55]  Lin S. Chen,et al.  Insights into colon cancer etiology via a regularized approach to gene set analysis of GWAS data. , 2010, American journal of human genetics.

[56]  Deanne M. Taylor,et al.  Powerful SNP-set analysis for case-control genome-wide association studies. , 2010, American journal of human genetics.

[57]  Jason H. Moore,et al.  Missing heritability and strategies for finding the underlying causes of complex disease , 2010, Nature Reviews Genetics.

[58]  Jing Cui,et al.  Genome-wide association study meta-analysis identifies seven new rheumatoid arthritis risk loci , 2010, Nature Genetics.

[59]  M. Xiong,et al.  Genome-wide gene and pathway analysis , 2010, European Journal of Human Genetics.

[60]  Xia Yang,et al.  Integrating pathway analysis and genetics of gene expression for genome-wide association studies. , 2010, American journal of human genetics.

[61]  N. Cox,et al.  Trait-Associated SNPs Are More Likely to Be eQTLs: Annotation to Enhance Discovery from GWAS , 2010, PLoS genetics.

[62]  Sylvia Richardson,et al.  Evolutionary Stochastic Search for Bayesian model exploration , 2010, 1002.2706.

[63]  Gonçalo R. Abecasis,et al.  Functional Gene Group Analysis Reveals a Role of Synaptic Heterotrimeric G Proteins in Cognitive Ability , 2010, American journal of human genetics.

[64]  James D. Johnson,et al.  Acute insulin signaling in pancreatic beta-cells is mediated by multiple Raf-1 dependent pathways. , 2010, Endocrinology.

[65]  K. Lange,et al.  Prioritizing GWAS results: A review of statistical methods and recommendations for their application. , 2010, American journal of human genetics.

[66]  G. Firestein,et al.  Fibroblast‐like synoviocytes: key effector cells in rheumatoid arthritis , 2010, Immunological reviews.

[67]  Anushya Muruganujan,et al.  PANTHER version 7: improved phylogenetic trees, orthologs and collaboration with the Gene Ontology Consortium , 2009, Nucleic Acids Res..

[68]  X. Wen,et al.  Gene, region and pathway level analyses in whole‐genome studies , 2009, Genetic epidemiology.

[69]  Susumu Goto,et al.  KEGG for representation and analysis of molecular networks involving diseases and drugs , 2009, Nucleic Acids Res..

[70]  Renata C. Geer,et al.  The NCBI BioSystems database , 2009, Nucleic Acids Res..

[71]  Momiao Xiong,et al.  Gene and pathway-based second-wave analysis of genome-wide association studies , 2010, European Journal of Human Genetics.

[72]  D. Clayton,et al.  Genome-wide association study and meta-analysis finds over 40 loci affect risk of type 1 diabetes , 2009, Nature Genetics.

[73]  Yike Guo,et al.  Consistency, comprehensiveness, and compatibility of pathway databases , 2010, BMC Bioinformatics.

[74]  Judy H. Cho,et al.  Pathway analysis comparison using Crohn's disease genome wide association studies , 2010, BMC Medical Genomics.

[75]  Benjamin A. Logsdon,et al.  A variational Bayes algorithm for fast and accurate multiple locus genome-wide association analysis , 2010, BMC Bioinformatics.

[76]  Gary D Bader,et al.  NetPath: a public resource of curated signal transduction pathways , 2010, Genome Biology.

[77]  Hongyu Zhao,et al.  A pathway analysis applied to Genetic Analysis Workshop 16 genome-wide rheumatoid arthritis data , 2009, BMC proceedings.

[78]  A. Paterson,et al.  Pathway-based analysis of a genome-wide case-control association study of rheumatoid arthritis. , 2009, BMC proceedings.

[79]  J. Hirschhorn Genomewide association studies--illuminating biologic pathways. , 2009, The New England journal of medicine.

[80]  P. Rosenberg,et al.  Pathway analysis by adaptive combination of P‐values , 2009, Genetic epidemiology.

[81]  J. Todd,et al.  Analysis of 55 autoimmune disease and type II diabetes loci: further confirmation of chromosomes 4q27, 12q13.2 and 12q24.13 as type I diabetes loci, and support for a new locus, 12q13.3–q14.1 , 2009, Genes and Immunity.

[82]  J. Todd,et al.  Follow-up of 1715 SNPs from the Wellcome Trust Case Control Consortium genome-wide association study in type I diabetes families , 2009, Genes and Immunity.

[83]  C. Hoggart,et al.  Pathway Analysis of GWAS Provides New Insights into Genetic Susceptibility to 3 Inflammatory Diseases , 2009, PloS one.

[84]  Stephen L. Hauser,et al.  Mapping of multiple susceptibility variants within the MHC region for 7 immune-mediated diseases , 2009, Proceedings of the National Academy of Sciences.

[85]  Judy H. Cho,et al.  Finding the missing heritability of complex diseases , 2009, Nature.

[86]  M. Stephens,et al.  Bayesian statistical methods for genetic association studies , 2009, Nature Reviews Genetics.

[87]  E. Schadt Molecular networks as sensors and drivers of common human diseases , 2009, Nature.

[88]  J. Satsangi,et al.  The genetics of Crohn's disease. , 2009, Annual review of genomics and human genetics.

[89]  A. Bauer-Mehren,et al.  Pathway databases and tools for their exploitation: benefits, current limitations and challenges , 2009, Molecular systems biology.

[90]  Manuel A. R. Ferreira,et al.  Gene ontology analysis of GWA study data sets provides insights into the biology of bipolar disorder. , 2009, American journal of human genetics.

[91]  M. Daly,et al.  Identifying Relationships among Genomic Disease Regions: Predicting Genes at Pathogenic SNP Associations and Rare Deletions , 2009, PLoS genetics.

[92]  P. Schur,et al.  Association of Measles Virus with Rheumatoid Arthritis , 2009, The Journal of Rheumatology.

[93]  A. Barton,et al.  Identification of AF4/FMR2 family, member 3 (AFF3) as a novel rheumatoid arthritis susceptibility locus and confirmation of two further pan-autoimmune susceptibility genes , 2009, Human molecular genetics.

[94]  K. Frazer,et al.  Human genetic variation and its contribution to complex traits , 2009, Nature Reviews Genetics.

[95]  David C. Wilson,et al.  Diverse genome-wide association studies associate the IL12/IL23 pathway with Crohn Disease. , 2009, American journal of human genetics.

[96]  P. Matthews,et al.  Pathway and network-based analysis of genome-wide association studies in multiple sclerosis , 2009, Human molecular genetics.

[97]  L. Liang,et al.  Mapping complex disease traits with global gene expression , 2009, Nature Reviews Genetics.

[98]  Trevor J. Hastie,et al.  Genome-wide association analysis by lasso penalized logistic regression , 2009, Bioinform..

[99]  M. McCarthy,et al.  Interrogating Type 2 Diabetes Genome-Wide Association Data Using a Biological Pathway-Based Approach , 2009, Diabetes.

[100]  G. Sumara,et al.  Regulation of PKD by the MAPK p38δ in Insulin Secretion and Glucose Homeostasis , 2009, Cell.

[101]  B. Fridley Bayesian variable and model selection methods for genetic association studies , 2009, Genetic epidemiology.

[102]  David A. Drubin,et al.  Learning a Prior on Regulatory Potential from eQTL Data , 2009, PLoS genetics.

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

[104]  D. Naniche,et al.  Human immunology of measles virus infection. , 2009, Current topics in microbiology and immunology.

[105]  A. Zhernakova,et al.  Detecting shared pathogenesis from the shared genetics of immune-related diseases , 2009, Nature Reviews Genetics.

[106]  G. Abecasis,et al.  Genotype imputation. , 2009, Annual review of genomics and human genetics.

[107]  Jason H. Moore,et al.  Pathways-based analyses of whole-genome association study data in bipolar disorder reveal genes mediating ion channel activity and synaptic neurotransmission , 2009, Human Genetics.

[108]  Vincent Plagnol,et al.  Meta-analysis of genome-wide association study data identifies additional type 1 diabetes risk loci , 2008, Nature Genetics.

[109]  Marit Holden,et al.  GSEA-SNP: applying gene set enrichment analysis to SNP data from genome-wide association studies , 2008, Bioinform..

[110]  Yongtao Guan,et al.  Practical Issues in Imputation-Based Association Mapping , 2008, PLoS genetics.

[111]  M. Daly,et al.  Genetic Mapping in Human Disease , 2008, Science.

[112]  N. Schork,et al.  Pathway analysis of seven common diseases assessed by genome-wide association. , 2008, Genomics.

[113]  Jing Cui,et al.  Common variants at CD40 and other loci confer risk of rheumatoid arthritis , 2008, Nature Genetics.

[114]  M. Stephens,et al.  High-Resolution Mapping of Expression-QTLs Yields Insight into Human Gene Regulation , 2008, PLoS genetics.

[115]  Xiayi Ke,et al.  Rheumatoid arthritis susceptibility loci at chromosomes 10p15, 12q13 and 22q13 , 2008, Nature Genetics.

[116]  Gary E. Swan,et al.  Systematic biological prioritization after a genome-wide association study: an application to nicotine dependence , 2008, Bioinform..

[117]  Judy H. Cho,et al.  Genome-wide association defines more than 30 distinct susceptibility loci for Crohn's disease , 2008, Nature Genetics.

[118]  C. Hoggart,et al.  Simultaneous Analysis of All SNPs in Genome-Wide and Re-Sequencing Association Studies , 2008, PLoS genetics.

[119]  Alexander R. Pico,et al.  WikiPathways: Pathway Editing for the People , 2008, PLoS biology.

[120]  D. Chistiakov,et al.  The crucial role of IL-2/IL-2RA-mediated immune regulation in the pathogenesis of type 1 diabetes, an evidence coming from genetic and animal model studies. , 2008, Immunology letters.

[121]  Alastair Forbes,et al.  Genetic determinants of ulcerative colitis include the ECM1 locus and five loci implicated in Crohn's disease , 2008, Nature Genetics.

[122]  W. Bodmer,et al.  Common and rare variants in multifactorial susceptibility to common diseases , 2008, Nature Genetics.

[123]  N. Yi,et al.  Bayesian LASSO for Quantitative Trait Loci Mapping , 2008, Genetics.

[124]  T. Nomura,et al.  Regulatory T Cells and Immune Tolerance , 2008, Cell.

[125]  Duncan C Thomas,et al.  The use of hierarchical models for estimating relative risks of individual genetic variants: An application to a study of melanoma , 2008, Statistics in medicine.

[126]  Michael Q. Zhang,et al.  Network-based global inference of human disease genes , 2008, Molecular systems biology.

[127]  M. McCarthy,et al.  Genome-wide association studies for complex traits: consensus, uncertainty and challenges , 2008, Nature Reviews Genetics.

[128]  Robert M. Plenge,et al.  Defining the Role of the MHC in Autoimmunity: A Review and Pooled Analysis , 2008, PLoS genetics.

[129]  M. McCarthy,et al.  Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes , 2008, Nature Genetics.

[130]  T. Manolio,et al.  How to Interpret a Genome-wide Association Study Topic Collections , 2022 .

[131]  K. Mossman The Wellcome Trust Case Control Consortium, U.K. , 2008 .

[132]  James W Baurley,et al.  Hierarchical Bayes prioritization of marker associations from a genome‐wide association scan for further investigation , 2007, Genetic epidemiology.

[133]  D. Strachan,et al.  Rheumatoid arthritis association at 6q23 , 2007, Nature Genetics.

[134]  P. Brennan,et al.  Inherited Predisposition of Lung Cancer: A Hierarchical Modeling Approach to DNA Repair and Cell Cycle Control Pathways , 2007, Cancer Epidemiology Biomarkers & Prevention.

[135]  Zhaohui S. Qin,et al.  A second generation human haplotype map of over 3.1 million SNPs , 2007, Nature.

[136]  L. Liang,et al.  A genome-wide association study of global gene expression , 2007, Nature Genetics.

[137]  D. Koller,et al.  Population genomics of human gene expression , 2007, Nature Genetics.

[138]  Anbupalam Thalamuthu,et al.  TRAF1-C5 as a risk locus for rheumatoid arthritis--a genomewide study. , 2007, The New England journal of medicine.

[139]  Mark Atkinson,et al.  Large-scale genetic fine mapping and genotype-phenotype associations implicate polymorphism in the IL2RA region in type 1 diabetes , 2007, Nature Genetics.

[140]  Joseph T. Glessner,et al.  A genome-wide association study identifies KIAA0350 as a type 1 diabetes gene , 2007, Nature.

[141]  H. Ropers New perspectives for the elucidation of genetic disorders. , 2007, American journal of human genetics.

[142]  Gary K. Chen,et al.  Enriching the analysis of genomewide association studies with hierarchical modeling. , 2007, American journal of human genetics.

[143]  A. Koch The pathogenesis of rheumatoid arthritis. , 2007, American journal of orthopedics.

[144]  R. A. Bailey,et al.  Robust associations of four new chromosome regions from genome-wide analyses of type 1 diabetes , 2007, Nature Genetics.

[145]  Alastair Forbes,et al.  Sequence variants in the autophagy gene IRGM and multiple other replicating loci contribute to Crohn's disease susceptibility , 2007, Nature Genetics.

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

[147]  M. Stephens,et al.  Imputation-Based Analysis of Association Studies: Candidate Regions and Quantitative Traits , 2007, PLoS genetics.

[148]  M. Jarvelin,et al.  A Common Variant in the FTO Gene Is Associated with Body Mass Index and Predisposes to Childhood and Adult Obesity , 2007, Science.

[149]  Judy H Cho,et al.  Genome-wide association study identifies new susceptibility loci for Crohn disease and implicates autophagy in disease pathogenesis , 2007, Nature Genetics.

[150]  K. Siminovitch,et al.  Nonreceptor protein-tyrosine phosphatases in immune cell signaling. , 2007, Annual review of immunology.

[151]  E. Nimmo,et al.  Genetics of the innate immune response in inflammatory bowel disease. , 2007, Inflammatory bowel diseases.

[152]  Judy H. Cho,et al.  Refined genomic localization and ethnic differences observed for the IBD5 association with Crohn's disease , 2007, European Journal of Human Genetics.

[153]  Pall I. Olason,et al.  A human phenome-interactome network of protein complexes implicated in genetic disorders , 2007, Nature Biotechnology.

[154]  Thomas Lengauer,et al.  A genome-wide association scan of nonsynonymous SNPs identifies a susceptibility variant for Crohn disease in ATG16L1 , 2007, Nature Genetics.

[155]  Tony O’Hagan Bayes factors , 2006 .

[156]  D. Teitelbaum,et al.  Colostomy: formation and closure , 2006 .

[157]  Thomas A Trikalinos,et al.  Implications of small effect sizes of individual genetic variants on the design and interpretation of genetic association studies of complex diseases. , 2006, American journal of epidemiology.

[158]  N. Bottini,et al.  Role of PTPN22 in type 1 diabetes and other autoimmune diseases. , 2006, Seminars in immunology.

[159]  Marek Kimmel,et al.  Stochastic search gene suggestion: a Bayesian hierarchical model for gene mapping. , 2006, Biometrics.

[160]  C. Wijmenga,et al.  Reconstruction of a functional human gene network, with an application for prioritizing positional candidate genes. , 2006, American journal of human genetics.

[161]  Bassem A. Hassan,et al.  Gene prioritization through genomic data fusion , 2006, Nature Biotechnology.

[162]  R. Ransohoff,et al.  The many roles of chemokines and chemokine receptors in inflammation. , 2006, The New England journal of medicine.

[163]  Gary D. Bader,et al.  Pathguide: a Pathway Resource List , 2005, Nucleic Acids Res..

[164]  J. Rioux,et al.  Paths to understanding the genetic basis of autoimmune disease , 2005, Nature.

[165]  Adrian Vella,et al.  Localization of a type 1 diabetes locus in the IL2RA/CD25 region by use of tag single-nucleotide polymorphisms. , 2005, American journal of human genetics.

[166]  P. Karp,et al.  Computational prediction of human metabolic pathways from the complete human genome , 2004, Genome Biology.

[167]  Sue Povey,et al.  Gene map of the extended human MHC , 2004, Nature Reviews Genetics.

[168]  D. Dunson,et al.  Bayesian Multivariate Logistic Regression , 2004, Biometrics.

[169]  K. Zang,et al.  Latent Epstein–Barr virus (EBV) infection and cytomegalovirus (CMV) infection in synovial tissue of autoimmune chronic arthritis determined by RNA- and DNA-in situ hybridization , 2004, Modern Pathology.

[170]  M. Karin,et al.  The two NF-κB activation pathways and their role in innate and adaptive immunity , 2004 .

[171]  P. Donnelly,et al.  The Fine-Scale Structure of Recombination Rate Variation in the Human Genome , 2004, Science.

[172]  J. Todd,et al.  Clustering of autoimmune disease in parents of siblings from the Type 1 diabetes Warren repository , 2004, Diabetic medicine : a journal of the British Diabetic Association.

[173]  Lee Hartwell,et al.  Robust Interactions , 2004, Science.

[174]  M. Karin,et al.  The two NF-kappaB activation pathways and their role in innate and adaptive immunity. , 2004, Trends in immunology.

[175]  John D. Storey The positive false discovery rate: a Bayesian interpretation and the q-value , 2003 .

[176]  John D. Storey,et al.  Statistical significance for genomewide studies , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[177]  Chen Dong,et al.  MAP kinases in the immune response. , 2002, Annual review of immunology.

[178]  S. Kunkel,et al.  Chemokines in autoimmune disease. , 2001, Current opinion in immunology.

[179]  Y. Yanagi,et al.  V Domain of Human SLAM (CDw150) Is Essential for Its Function as a Measles Virus Receptor , 2001, Journal of Virology.

[180]  Y. Yanagi,et al.  SLAM (CDw150) is a cellular receptor for measles virus , 2000, Nature.

[181]  D. Madigan,et al.  Correction to: ``Bayesian model averaging: a tutorial'' [Statist. Sci. 14 (1999), no. 4, 382--417; MR 2001a:62033] , 2000 .

[182]  M. Ashburner,et al.  Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.

[183]  Adrian E. Raftery,et al.  Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors , 1999 .

[184]  Gen Tamiya,et al.  Complete sequence and gene map of a human major histocompatibility complex , 1999 .

[185]  Elena S. Babaylova,et al.  Complete sequence and gene map of a human major histocompatibility complex , 1999, Nature.

[186]  D. Emilie,et al.  [Cytokines and autoimmunity]. , 1994, La Revue du praticien.

[187]  Christopher D. Richardson,et al.  The human CD46 molecule is a receptor for measles virus (Edmonston strain) , 1993, Cell.

[188]  E. George,et al.  Journal of the American Statistical Association is currently published by American Statistical Association. , 2007 .

[189]  T. J. Mitchell,et al.  Bayesian Variable Selection in Linear Regression , 1988 .

[190]  J. Berger,et al.  Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence , 1987 .

[191]  D E Trentham,et al.  The immunopathogenesis of rheumatoid arthritis. , 1985, The Journal of rheumatology. Supplement.

[192]  A. Salmi,et al.  Virus antibodies in serum and synovial fluid of patients with rheumatoid arthritis and other connective tissue diseases. , 1975, Annals of the rheumatic diseases.