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

doi:10.1016/j.gene.2014.11.052

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 journal › Article (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 language	English
Pages (from-to)	257-258
Number of pages	2
Journal	Gene
Volume	556
Issue number	2
DOIs	https://doi.org/10.1016/j.gene.2014.11.052
Publication status	Published - 1 Jan 2015

Keywords

ENOS
Funnel plot
Genetic association
GWAS
Meta-analysis
Systematic review

Access to Document

10.1016/j.gene.2014.11.052

Link to publication in Scopus

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.

Projects

2 Finished

MRC UoB UNITE Unit - Programme 1

Davey Smith, G.

1/06/13 → 31/03/18

Project: Research

IEU Theme 2

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

1/06/13 → 31/03/18

Project: Research

Cite this

Gaunt, T. R., & Davey Smith, G. (2015). ENOS and coronary artery disease: Publication bias and the eclipse of hypothesis-driven meta-analysis in genetic association studies. Gene, 556(2), 257-258. https://doi.org/10.1016/j.gene.2014.11.052

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