lme4qtl: linear mixed models with flexible covariance structure for genetic studies of related individuals

lme4qtl: linear mixed models with flexible covariance structure for genetic studies of related individuals

Abstract 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)....

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Bibliographic Details
Main Authors: Andrey Ziyatdinov, Miquel Vázquez-Santiago, Helena Brunel, Angel Martinez-Perez, Hugues Aschard, Jose Manuel Soria
Format: Article
Language:English
Published: BMC 2018-02-01
Series:BMC Bioinformatics
Subjects:
Linear mixed models
Covariance
Related individuals
GWAS
lme4
Online Access:http://link.springer.com/article/10.1186/s12859-018-2057-x

Internet

http://link.springer.com/article/10.1186/s12859-018-2057-x

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