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Article

lrgpr: interactive linear mixed model analysis of genome-wide association studies with composite hypothesis testing and regression diagnostics in R.

Bioinformatics (Oxford, England) - 1 Nov 2014

Hoffman Gabriel E, Mezey Jason G, Schadt Eric E

Abstract excerpt

UNLABELLED: The linear mixed model is the state-of-the-art method to account for the confounding effects of kinship and population structure in genome-wide association studies (GWAS). Current implementations test the effect of one or more genetic markers while including prespecified covariates such as sex. Here we develop an efficient implementation of the linear mixed model that allows composite hypothesis tests...

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Identifiers

PMID: 25035399
DOI: 10.1093/bioinformatics/btu435
PMCID: PMC4201153

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Source receipt: pubmed, retrieved 7 Sept 2026.

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