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

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 pa...

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Detalles Bibliográficos
Autores principales: Ziyatdinov, Andrey, Vázquez-Santiago, Miquel, Brunel, Helena, Martinez-Perez, Angel, Aschard, Hugues, Soria, Jose Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5830078/
https://www.ncbi.nlm.nih.gov/pubmed/29486711
http://dx.doi.org/10.1186/s12859-018-2057-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5830078/
https://www.ncbi.nlm.nih.gov/pubmed/29486711
http://dx.doi.org/10.1186/s12859-018-2057-x

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