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How Can We Explain Very Low Odds Ratios in GWAS? I. Polygenic Models.
Hodge, Susan E; Greenberg, David A.
Afiliação
  • Hodge SE; Battelle Center for Mathematical Medicine, The Research Institute, Nationwide Children's Hospital, and Department of Pediatrics, The Ohio State University, Columbus, OH, USA.
Hum Hered ; 81(4): 173-180, 2016.
Article em En | MEDLINE | ID: mdl-28171865
ABSTRACT
Genome-wide association studies of common diseases often identify a number of disease-related SNPs that reach highly significant p values but at the same time show very low disease odds ratios (ORs), most <1.5 and many <1.2. Despite their statistical significance, associations involving very low ORs explain little about the genetic contribution to the disease and nothing about disease inheritance. A commonly accepted explanation for very low ORs involves a model of polygenic inheritance, i.e., where the disease being studied is caused by a large number of interacting genes, each gene contributing only a small increment to disease risk. Here we demonstrate the perhaps counterintuitive result that, within a reasonable range of disease population prevalences (≤10%), a pure polygenic model is incompatible with very low ORs, unless very large numbers (hundreds or even thousands) of polygenic loci are involved.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Razão de Chances / Estudo de Associação Genômica Ampla / Modelos Genéticos Tipo de estudo: Etiology_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Hum Hered Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Razão de Chances / Estudo de Associação Genômica Ampla / Modelos Genéticos Tipo de estudo: Etiology_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Hum Hered Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos