Reliable heritability estimation using sparse regularization in ultrahigh dimensional genome-wide association studies

Reliable heritability estimation using sparse regularization in ultrahigh dimensional genome-wide association studies

Abstract Background Data from genome-wide association studies (GWASs) have been used to estimate the heritability of human complex traits in recent years. Existing methods are based on the linear mixed model, with the assumption that the genetic effects are random variables, which is opposite to the...

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Bibliographic Details
Main Authors: Xin Li, Dongya Wu, Yue Cui, Bing Liu, Henrik Walter, Gunter Schumann, Chong Li, Tianzi Jiang
Format: Article
Language:English
Published: BMC 2019-04-01
Series:BMC Bioinformatics
Subjects:
Heritability
Reliable estimation
Sparse regularization
Standard error
Simulation
Online Access:http://link.springer.com/article/10.1186/s12859-019-2792-7

Internet

http://link.springer.com/article/10.1186/s12859-019-2792-7

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