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Meta-analysis of genome-wide association studies in African Americans provides insights into the genetic architecture of type 2 diabetes.
Ng, Maggie C Y; Shriner, Daniel; Chen, Brian H; Li, Jiang; Chen, Wei-Min; Guo, Xiuqing; Liu, Jiankang; Bielinski, Suzette J; Yanek, Lisa R; Nalls, Michael A; Comeau, Mary E; Rasmussen-Torvik, Laura J; Jensen, Richard A; Evans, Daniel S; Sun, Yan V; An, Ping; Patel, Sanjay R; Lu, Yingchang; Long, Jirong; Armstrong, Loren L; Wagenknecht, Lynne; Yang, Lingyao; Snively, Beverly M; Palmer, Nicholette D; Mudgal, Poorva; Langefeld, Carl D; Keene, Keith L; Freedman, Barry I; Mychaleckyj, Josyf C; Nayak, Uma; Raffel, Leslie J; Goodarzi, Mark O; Chen, Y-D Ida; Taylor, Herman A; Correa, Adolfo; Sims, Mario; Couper, David; Pankow, James S; Boerwinkle, Eric; Adeyemo, Adebowale; Doumatey, Ayo; Chen, Guanjie; Mathias, Rasika A; Vaidya, Dhananjay; Singleton, Andrew B; Zonderman, Alan B; Igo, Robert P; Sedor, John R; Kabagambe, Edmond K; Siscovick, David S.
  • Ng MC; Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America; Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America.
  • Shriner D; Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, Maryland, United States of America.
  • Chen BH; Program on Genomics and Nutrition, School of Public Health, University of California Los Angeles, Los Angeles, California, United States of America; Center for Metabolic Disease Prevention, School of Public Health, University of California Los Angeles, Los Angeles, California, United States of Ameri
  • Li J; Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America.
  • Chen WM; Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, United States of America; Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, United States of America.
  • Guo X; Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, California, United States of America.
  • Liu J; Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, United States of America.
  • Bielinski SJ; Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America.
  • Yanek LR; The GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
  • Nalls MA; Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, United States of America.
  • Comeau ME; Center for Public Health Genomics, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America; Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, Un
  • Rasmussen-Torvik LJ; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America.
  • Jensen RA; Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, United States of America; Department of Medicine, University of Washington, Seattle, Washington, United States of America.
  • Evans DS; San Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, California, United States of America.
  • Sun YV; Department of Epidemiology and Biomedical Informatics, Emory University, Atlanta, Georgia, United States of America.
  • An P; Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, United States of America.
  • Patel SR; Division of Sleep Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States of America.
  • Lu Y; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America; The Genetics of Obesity and Related Metabolic Traits Program, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
  • Long J; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America.
  • Armstrong LL; Division of Endocrinology, Metabolism and Molecular Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America.
  • Wagenknecht L; Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America.
  • Yang L; Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America.
  • Snively BM; Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America.
  • Palmer ND; Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America; Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America; Department of Biochemistry, Wake For
  • Mudgal P; Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America.
  • Langefeld CD; Center for Public Health Genomics, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America; Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, Un
  • Keene KL; Department of Biology, Center for Health Disparities, East Carolina University, Greenville, North Carolina, United States of America.
  • Freedman BI; Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America.
  • Mychaleckyj JC; Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, United States of America; Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, United States of America.
  • Nayak U; Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, United States of America; Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, United States of America.
  • Raffel LJ; Medical Genetics Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America.
  • Goodarzi MO; Medical Genetics Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America.
  • Chen YD; Institute for Translational Genomics and Population Sciences, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, California, United States of America.
  • Taylor HA; Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, United States of America; Jackson State University, Tougaloo College, Jackson, Mississippi, United States of America.
  • Correa A; Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, United States of America.
  • Sims M; Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, United States of America.
  • Couper D; Collaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
  • Pankow JS; Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, United States of America.
  • Boerwinkle E; Human Genetics Center, University of Texas Health Science Center at Houston, Houston, Texas, United States of America.
  • Adeyemo A; Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, Maryland, United States of America.
  • Doumatey A; Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, Maryland, United States of America.
  • Chen G; Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, Maryland, United States of America.
  • Mathias RA; The GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America; Division of Allergy and Clinical Immunology, Department of Medicine, The Johns Hopkins University School of Me
  • Vaidya D; The GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United State
  • Singleton AB; Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, United States of America.
  • Zonderman AB; Laboratory of Personality and Cognition, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, United States of America.
  • Igo RP; Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio, United States of America.
  • Sedor JR; Department of Medicine, Case Western Reserve University, MetroHealth System campus, Cleveland, Ohio, United States of America; Department of Physiology and Biophysics, Case Western Reserve University, Cleveland, Ohio, United States of America.
  • Kabagambe EK; Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
  • Siscovick DS; Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, United States of America; Department of Medicine, University of Washington, Seattle, Washington, United States of America; Department of Epidemiology, University of Washington, Seattle, Washington, United States of A
PLoS Genet ; 10(8): e1004517, 2014 Aug.
Article en En | MEDLINE | ID: mdl-25102180
ABSTRACT
Type 2 diabetes (T2D) is more prevalent in African Americans than in Europeans. However, little is known about the genetic risk in African Americans despite the recent identification of more than 70 T2D loci primarily by genome-wide association studies (GWAS) in individuals of European ancestry. In order to investigate the genetic architecture of T2D in African Americans, the MEta-analysis of type 2 DIabetes in African Americans (MEDIA) Consortium examined 17 GWAS on T2D comprising 8,284 cases and 15,543 controls in African Americans in stage 1 analysis. Single nucleotide polymorphisms (SNPs) association analysis was conducted in each study under the additive model after adjustment for age, sex, study site, and principal components. Meta-analysis of approximately 2.6 million genotyped and imputed SNPs in all studies was conducted using an inverse variance-weighted fixed effect model. Replications were performed to follow up 21 loci in up to 6,061 cases and 5,483 controls in African Americans, and 8,130 cases and 38,987 controls of European ancestry. We identified three known loci (TCF7L2, HMGA2 and KCNQ1) and two novel loci (HLA-B and INS-IGF2) at genome-wide significance (4.15 × 10(-94)odds ratio (OR)  = 1.09 to 1.36). Fine-mapping revealed that 88 of 158 previously identified T2D or glucose homeostasis loci demonstrated nominal to highly significant association (2.2 × 10(-23) < locus-wide P<0.05). These novel and previously identified loci yielded a sibling relative risk of 1.19, explaining 17.5% of the phenotypic variance of T2D on the liability scale in African Americans. Overall, this study identified two novel susceptibility loci for T2D in African Americans. A substantial number of previously reported loci are transferable to African Americans after accounting for linkage disequilibrium, enabling fine mapping of causal variants in trans-ethnic meta-analysis studies.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Antígeno HLA-B27 / Proteína HMGA2 / Diabetes Mellitus Tipo 2 / Canal de Potasio KCNQ1 / Proteínas Mutantes Quiméricas / Proteína 2 Similar al Factor de Transcripción 7 Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Humans Idioma: En Año: 2014 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Antígeno HLA-B27 / Proteína HMGA2 / Diabetes Mellitus Tipo 2 / Canal de Potasio KCNQ1 / Proteínas Mutantes Quiméricas / Proteína 2 Similar al Factor de Transcripción 7 Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Humans Idioma: En Año: 2014 Tipo del documento: Article