ENOS and coronary artery disease: Publication bias and the eclipse of hypothesis-driven meta-analysis in genetic association studies

Tom R. Gaunt*, George Davey Smith

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

6 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)257-258
Number of pages2
JournalGene
Volume556
Issue number2
DOIs
Publication statusPublished - 1 Jan 2015

Keywords

  • ENOS
  • Funnel plot
  • Genetic association
  • GWAS
  • Meta-analysis
  • Systematic review

Fingerprint

Dive into the research topics of 'ENOS and coronary artery disease: Publication bias and the eclipse of hypothesis-driven meta-analysis in genetic association studies'. Together they form a unique fingerprint.

Cite this