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Article

Efficient multivariate linear mixed model algorithms for genome-wide association studies.

Nature methods - 1 Apr 2014

Zhou Xiang, Stephens Matthew

Abstract excerpt

Multivariate linear mixed models (mvLMMs) are powerful tools for testing associations between single-nucleotide polymorphisms and multiple correlated phenotypes while controlling for population stratification in genome-wide association studies. We present efficient algorithms in the genome-wide efficient mixed model association (GEMMA) software for fitting mvLMMs and computing likelihood ratio tests. These...

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Identifiers

PMID: 24531419
DOI: 10.1038/nmeth.2848
PMCID: PMC4211878

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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