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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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Podrobná bibliografie
Vydáno v:Am J Hum Genet
Hlavní autoři: 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.
Médium: Artigo
Jazyk:Inglês
Vydáno: Elsevier 2016
Témata:
On-line přístup: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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