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Article

A resource-efficient tool for mixed model association analysis of large-scale data.

Nature genetics - 1 Dec 2019

Jiang Longda, Zheng Zhili, Qi Ting, Kemper Kathryn E, Wray Naomi R, Visscher Peter M, Yang Jian

Abstract excerpt

The genome-wide association study (GWAS) has been widely used as an experimental design to detect associations between genetic variants and a phenotype. Two major confounding factors, population stratification and relatedness, could potentially lead to inflated GWAS test statistics and hence to spurious associations. Mixed linear model (MLM)-based approaches can be used to account for sample structure. However,...

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PMID: 31768069
DOI: 10.1038/s41588-019-0530-8

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