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) › peer-review

10 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

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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.",

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author = "Gaunt, \{Tom R.\} and \{Davey Smith\}, George",

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AU - Davey Smith, George

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N2 - 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.

AB - 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.

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KW - Funnel plot

KW - Genetic association

KW - GWAS

KW - Meta-analysis

KW - Systematic review

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DO - 10.1016/j.gene.2014.11.052

M3 - Article (Academic Journal)

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SP - 257

EP - 258

JO - Gene

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

Abstract

Keywords

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MRC UoB UNITE Unit - Programme 1

IEU Theme 2

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

Abstract

Keywords

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Projects

MRC UoB UNITE Unit - Programme 1

IEU Theme 2

Cite this