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Article

Methodological implementation of mixed linear models in multi-locus genome-wide association studies.

Briefings in bioinformatics - 20 Jul 2018

Wen Yang-Jun, Zhang Hanwen, Ni Yuan-Li, Huang Bo, Zhang Jin, Feng Jian-Ying, Wang Shi-Bo, Dunwell Jim M, Zhang Yuan-Ming, Wu Rongling

Abstract excerpt

The mixed linear model has been widely used in genome-wide association studies (GWAS), but its application to multi-locus GWAS analysis has not been explored and assessed. Here, we implemented a fast multi-locus random-SNP-effect EMMA (FASTmrEMMA) model for GWAS. The model is built on random single nucleotide polymorphism (SNP) effects and a new algorithm. This algorithm whitens the covariance matrix of the...

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Identifiers

PMID: 28158525
DOI: 10.1093/bib/bbw145
PMCID: PMC6054291

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Source receipt: pubmed, retrieved 7 Sept 2026.

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