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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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| Autores principales: | , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Elsevier
2014
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| Materias: | |
| Acceso en línea: | 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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