PCA-Based Multiple-Trait GWAS Analysis: A Powerful Model for Exploring Pleiotropy

PCA-Based Multiple-Trait GWAS Analysis: A Powerful Model for Exploring Pleiotropy

Principal component analysis (PCA) is a potential approach that can be applied in multiple-trait genome-wide association studies (GWAS) to explore pleiotropy, as well as increase the power of quantitative trait loci (QTL) detection. In this study, the relationship of test single nucleotide polymorph...

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Bibliographic Details
Main Authors: Wengang Zhang, Xue Gao, Xinping Shi, Bo Zhu, Zezhao Wang, Huijiang Gao, Lingyang Xu, Lupei Zhang, Junya Li, Yan Chen
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Animals
Subjects:
genome-wide association study
principal component analysis
multiple-trait
pleiotropy
<i>MCHR2</i>
Online Access:https://www.mdpi.com/2076-2615/8/12/239

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