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Article

Exploring the Major Sources and Extent of Heterogeneity in a Genome-Wide Association Meta-Analysis.

Annals of human genetics - 1 Mar 2016

Pei Yu-Fang, Tian Qing, Zhang Lei, Deng Hong-Wen

Abstract excerpt

Genome-wide association (GWA) meta-analysis has become a popular approach for discovering genetic variants responsible for complex diseases. The between-study heterogeneity effect is a severe issue that may complicate the interpretation of results. Aiming to improve the interpretation of meta-analysis results, we empirically explored the extent and source of heterogeneity effect. We analyzed a previously reported...

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Identifiers

PMID: 26686198
DOI: 10.1111/ahg.12143
PMCID: PMC4761279

Genes

MTCH2

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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