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lrgpr: interactive linear mixed model analysis of genome-wide association studies with composite hypothesis testing and regression diagnostics in R

Summary: The linear mixed model is the state-of-the-art method to account for the confounding effects of kinship and population structure in genome-wide association studies (GWAS). Current implementations test the effect of one or more genetic markers while including prespecified covariates such as...

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Detalhes bibliográficos
Main Authors: Hoffman, Gabriel E., Mezey, Jason G., Schadt, Eric E.
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2014
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4201153/
https://ncbi.nlm.nih.gov/pubmed/25035399
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btu435
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