| Literature DB >> 25433329 |
Tom R Gaunt1, George Davey Smith1.
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.Entities:
Keywords: Funnel plot; GWAS; Genetic association; Meta-analysis; Systematic review; eNOS
Mesh:
Substances:
Year: 2014 PMID: 25433329 DOI: 10.1016/j.gene.2014.11.052
Source DB: PubMed Journal: Gene ISSN: 0378-1119 Impact factor: 3.688