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Article

A novel random effect model for GWAS meta-analysis and its application to trans-ethnic meta-analysis.

Biometrics - 1 Sept 2016

Shi Jingchunzi, Lee Seunggeun

Abstract excerpt

Meta-analysis of trans-ethnic genome-wide association studies (GWAS) has proven to be a practical and profitable approach for identifying loci that contribute to the risk of complex diseases. However, the expected genetic effect heterogeneity cannot easily be accommodated through existing fixed-effects and random-effects methods. In response, we propose a novel random effect model for trans-ethnic meta-analysis...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 26916671
DOI: 10.1111/biom.12481
PMCID: PMC4996751

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