Identifying genetically driven clinical phenotypes using linear mixed models

Identifying genetically driven clinical phenotypes using linear mixed models

Use of general linear mixed models (GLMMs) in genetic variance analysis can quantify the relative contribution of additive effects from genetic variation on a given trait. Here, Jonathan Mosley and colleagues apply GLMM in a phenome-wide analysis and show that genetic variations in the HLA region ar...

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Détails bibliographiques
Auteurs principaux: Jonathan D. Mosley, John S. Witte, Emma K. Larkin, Lisa Bastarache, Christian M. Shaffer, Jason H. Karnes, C. Michael Stein, Elizabeth Phillips, Scott J. Hebbring, Murray H. Brilliant, John Mayer, Zhan Ye, Dan M. Roden, Joshua C. Denny
Format: article
Langue:EN
Publié: Nature Portfolio 2016
Sujets:
Science
Q
Accès en ligne:https://doaj.org/article/5401bbf278ce480b9e71837f9f3eca2c
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Internet

https://doaj.org/article/5401bbf278ce480b9e71837f9f3eca2c

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