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Article

Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies.

Nature genetics - 1 Sept 2018

Zhou Wei, Nielsen Jonas B, Fritsche Lars G, Dey Rounak, Gabrielsen Maiken E, Wolford Brooke N, LeFaive Jonathon, VandeHaar Peter, Gagliano Sarah A, Gifford Aliya, Bastarache Lisa A, Wei Wei-Qi, Denny Joshua C, Lin Maoxuan, Hveem Kristian, Kang Hyun Min, Abecasis Goncalo R, Willer Cristen J, Lee Seunggeun

Abstract excerpt

In genome-wide association studies (GWAS) for thousands of phenotypes in large biobanks, most binary traits have substantially fewer cases than controls. Both of the widely used approaches, the linear mixed model and the recently proposed logistic mixed model, perform poorly; they produce large type I error rates when used to analyze unbalanced case-control phenotypes. Here we propose a scalable and accurate...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 30104761
DOI: 10.1038/s41588-018-0184-y
PMCID: PMC6119127

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