A Fast and Powerful Empirical Bayes Method for Genome-Wide Association Studies

A Fast and Powerful Empirical Bayes Method for Genome-Wide Association Studies

Linear mixed model (LMM) is an efficient method for GWAS. There are numerous forms of LMM-based GWAS methods. However, improving statistical power and computing efficiency have always been the research hotspots of the LMM-based GWAS methods. Here, we proposed a fast empirical Bayes method, which is...

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Bibliographic Details
Main Authors: Tianpeng Chang, Julong Wei, Mang Liang, Bingxing An, Xiaoqiao Wang, Bo Zhu, Lingyang Xu, Lupei Zhang, Xue Gao, Yan Chen, Junya Li, Huijiang Gao
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Animals
Subjects:
empirical Bayes
genome-wide association study
kinship matrix
linear mixed model
proximal contamination
Online Access:https://www.mdpi.com/2076-2615/9/6/305

Internet

https://www.mdpi.com/2076-2615/9/6/305

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