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A statistical method for region-based meta-analysis of genome-wide association studies in genetically diverse populations.

European journal of human genetics : EJHG - 1 Apr 2012

Wang Xu, Liu Xuanyao, Sim Xueling, Xu Haiyan, Khor Chiea-Chuen, Ong Rick Twee-Hee, Tay Wan-Ting, Suo Chen, Poh Wan-Ting, Ng Daniel Peng-Keat, Liu Jianjun, Aung Tin, Chia Kee-Seng, Wong Tien-Yin, Tai E-Shyong, Teo Yik-Ying

Abstract excerpt

Genome-wide association studies (GWAS) have become the preferred experimental design in exploring the genetic etiology of complex human traits and diseases. Standard SNP-based meta-analytic approaches have been utilized to integrate the results from multiple experiments. This fundamentally assumes that the patterns of linkage disequilibrium (LD) between the underlying causal variants and the directly genotyped...

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Data Interpretation, Statistical
Diabetes Mellitus, Type 2
Genetics, Population
Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Linkage Disequilibrium

Polymorphism, Single Nucleotide

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PMID: 22126751
DOI: 10.1038/ejhg.2011.219
PMCID: PMC3306862

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