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Detection of pleiotropy through a Phenome-wide association study (PheWAS) of epidemiologic data as part of the Environmental Architecture for Genes Linked to Environment (EAGLE) study.
Hall, Molly A; Verma, Anurag; Brown-Gentry, Kristin D; Goodloe, Robert; Boston, Jonathan; Wilson, Sarah; McClellan, Bob; Sutcliffe, Cara; Dilks, Holly H; Gillani, Nila B; Jin, Hailing; Mayo, Ping; Allen, Melissa; Schnetz-Boutaud, Nathalie; Crawford, Dana C; Ritchie, Marylyn D; Pendergrass, Sarah A.
Afiliação
  • Hall MA; Center for Systems Genomics, Department of Biochemistry and Molecular Biology, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania, United States of America.
  • Verma A; Center for Systems Genomics, Department of Biochemistry and Molecular Biology, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania, United States of America.
  • Brown-Gentry KD; Center for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America.
  • Goodloe R; Center for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America.
  • Boston J; Center for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America.
  • Wilson S; Center for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America.
  • McClellan B; Center for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America.
  • Sutcliffe C; Center for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America.
  • Dilks HH; Center for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America; Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, Tennessee, United States of America.
  • Gillani NB; Center for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America.
  • Jin H; Center for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America.
  • Mayo P; Center for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America.
  • Allen M; Center for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America.
  • Schnetz-Boutaud N; Center for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America.
  • Crawford DC; Center for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, United States of America; Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, Tennessee, United States of America.
  • Ritchie MD; Center for Systems Genomics, Department of Biochemistry and Molecular Biology, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania, United States of America.
  • Pendergrass SA; Center for Systems Genomics, Department of Biochemistry and Molecular Biology, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania, United States of America.
PLoS Genet ; 10(12): e1004678, 2014 Dec.
Article em En | MEDLINE | ID: mdl-25474351
ABSTRACT
We performed a Phenome-wide association study (PheWAS) utilizing diverse genotypic and phenotypic data existing across multiple populations in the National Health and Nutrition Examination Surveys (NHANES), conducted by the Centers for Disease Control and Prevention (CDC), and accessed by the Epidemiological Architecture for Genes Linked to Environment (EAGLE) study. We calculated comprehensive tests of association in Genetic NHANES using 80 SNPs and 1,008 phenotypes (grouped into 184 phenotype classes), stratified by race-ethnicity. Genetic NHANES includes three surveys (NHANES III, 1999-2000, and 2001-2002) and three race-ethnicities non-Hispanic whites (n = 6,634), non-Hispanic blacks (n = 3,458), and Mexican Americans (n = 3,950). We identified 69 PheWAS associations replicating across surveys for the same SNP, phenotype-class, direction of effect, and race-ethnicity at p<0.01, allele frequency >0.01, and sample size >200. Of these 69 PheWAS associations, 39 replicated previously reported SNP-phenotype associations, 9 were related to previously reported associations, and 21 were novel associations. Fourteen results had the same direction of effect across more than one race-ethnicity one result was novel, 11 replicated previously reported associations, and two were related to previously reported results. Thirteen SNPs showed evidence of pleiotropy. We further explored results with gene-based biological networks, contrasting the direction of effect for pleiotropic associations across phenotypes. One PheWAS result was ABCG2 missense SNP rs2231142, associated with uric acid levels in both non-Hispanic whites and Mexican Americans, protoporphyrin levels in non-Hispanic whites and Mexican Americans, and blood pressure levels in Mexican Americans. Another example was SNP rs1800588 near LIPC, significantly associated with the novel phenotypes of folate levels (Mexican Americans), vitamin E levels (non-Hispanic whites) and triglyceride levels (non-Hispanic whites), and replication for cholesterol levels. The results of this PheWAS show the utility of this approach for exposing more of the complex genetic architecture underlying multiple traits, through generating novel hypotheses for future research.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fenótipo / Estudo de Associação Genômica Ampla / Interação Gene-Ambiente Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged País como assunto: America do norte Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fenótipo / Estudo de Associação Genômica Ampla / Interação Gene-Ambiente Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged País como assunto: America do norte Idioma: En Ano de publicação: 2014 Tipo de documento: Article