Stochastic Lanczos estimation of genomic variance components for linear mixed-effects models

Stochastic Lanczos estimation of genomic variance components for linear mixed-effects models

Abstract Background Linear mixed-effects models (LMM) are a leading method in conducting genome-wide association studies (GWAS) but require residual maximum likelihood (REML) estimation of variance components, which is computationally demanding. Previous work has reduced the computational burden of...

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Bibliographic Details
Main Authors: Richard Border, Stephen Becker
Format: Article
Language:English
Published: BMC 2019-07-01
Series:BMC Bioinformatics
Subjects:
GWAS
Linear mixed-effects models
Variance components
REML
Conjugate gradients
Stochastic trace estimation
Online Access:http://link.springer.com/article/10.1186/s12859-019-2978-z

Internet

http://link.springer.com/article/10.1186/s12859-019-2978-z

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