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)

5 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

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  • Projects

    MRC UoB UNITE Unit - Programme 1

    Davey Smith, G.

    1/06/1331/03/18

    Project: Research

    IEU Theme 2

    Flach, P. A., Gaunt, T. R. & Gaunt, T. R.

    1/06/1331/03/18

    Project: Research

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