Multiple-trait genome-wide association study based on principal component analysis for residual covariance matrix

Given the drawbacks of implementing multivariate analysis for mapping multiple traits in genome-wide association study (GWAS), principal component analysis (PCA) has been widely used to generate independent ‘super traits' from the original multivariate phenotypic traits for the univariate analy...

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Bibliographic Details
Published in:Heredity (Edinb)
Main Authors: Gao, H, Zhang, T, Wu, Y, Jiang, L, Zhan, J, Li, J, Yang, R
Format: Artigo
Language:Inglês
Published: Nature Publishing Group 2014
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Original Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC4274615/
https://ncbi.nlm.nih.gov/pubmed/24984606
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/hdy.2014.57
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