title: eNOS and coronary artery disease: publication bias and the eclipse of hypothesis-driven meta-analysis in genetic association studies.
abstract: Genome-wide association studies have eclipsed candidate gene association studies in genetic epidemiology in providing robust, unbiased evidence for the role of genetic variants in complex traits and diseases. The hypothesis-free nature of GWAS inherently minimises the risk of publication bias, and where available these studies should be considered in any meta-analysis of genetic association studies.
authors.affiliation: MRC Integrative Epidemiology Unit, School of Social and Community Medicine, Oakfield House, University of Bristol, Bristol BS8 2BN, UK.
authors.forename: Tom R
authors.initials: TR
authors.lastname: Gaunt
authors.affiliation: MRC Integrative Epidemiology Unit, School of Social and Community Medicine, Oakfield House, University of Bristol, Bristol BS8 2BN, UK.
authors.forename: George
authors.initials: G
authors.lastname: Davey Smith
mesh_terms: D003324:Coronary Artery Disease / Q000235:genetics*; D006801:Humans; D052250:Nitric Oxide Synthase Type III / Q000235:genetics*; D020641:Polymorphism, Single Nucleotide; D011401:Promoter Regions, Genetic
chemical_list: D052250:Nitric Oxide Synthase Type III
keywords: Funnel plot; GWAS; Genetic association; Meta-analysis; Systematic review; eNOS