Article
lme4qtl: linear mixed models with flexible covariance structure for genetic studies of related individuals.
BMC bioinformatics - 27 Feb 2018
Ziyatdinov Andrey, Vázquez-Santiago Miquel, Brunel Helena, Martinez-Perez Angel, Aschard Hugues, Soria Jose Manuel
Abstract excerpt
BACKGROUND: Quantitative trait locus (QTL) mapping in genetic data often involves analysis of correlated observations, which need to be accounted for to avoid false association signals. This is commonly performed by modeling such correlations as random effects in linear mixed models (LMMs). The R package lme4 is a well-established tool that implements major LMM features using sparse matrix methods; however, it is...
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