Comparison of F-tests for Univariate and Multivariate Mixed-Effect Models in Genome-Wide Association Mapping

Comparison of F-tests for Univariate and Multivariate Mixed-Effect Models in Genome-Wide Association Mapping

Genome-wide association mapping (GWA) has been widely applied to a variety of species to identify genomic regions responsible for quantitative traits. The use of multivariate information could enhance the detection power of GWA. Although mixed-effect models are frequently used for GWA, the utility o...

Full description

Bibliographic Details
Main Author: Akio Onogi
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-02-01
Series:Frontiers in Genetics
Subjects:
genome-wide association study
GWAS
multiple traits
quantitative traits
QTL mapping
multitask
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2019.00030/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2019.00030/full

Similar Items