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Maximizing the Power of Principal-Component Analysis of Correlated Phenotypes in Genome-wide Association Studies
Many human traits are highly correlated. This correlation can be leveraged to improve the power of genetic association tests to identify markers associated with one or more of the traits. Principal component analysis (PCA) is a useful tool that has been widely used for the multivariate analysis of c...
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| Main Authors: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4067564/ https://ncbi.nlm.nih.gov/pubmed/24746957 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ajhg.2014.03.016 |
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