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A Statistical Approach for Testing Cross-Phenotype Effects of Rare Variants

Increasing empirical evidence suggests that many genetic variants influence multiple distinct phenotypes. When cross-phenotype effects exist, multivariate association methods that consider pleiotropy are often more powerful than univariate methods that model each phenotype separately. Although sever...

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Detalhes bibliográficos
Publicado no:Am J Hum Genet
Main Authors: Broadaway, K. Alaine, Cutler, David J., Duncan, Richard, Moore, Jacob L., Ware, Erin B., Jhun, Min A., Bielak, Lawrence F., Zhao, Wei, Smith, Jennifer A., Peyser, Patricia A., Kardia, Sharon L.R., Ghosh, Debashis, Epstein, Michael P.
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2016
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4800053/
https://ncbi.nlm.nih.gov/pubmed/26942286
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ajhg.2016.01.017
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