A re-formulation of generalized linear mixed models to fit family data in genetic association studies

A re-formulation of generalized linear mixed models to fit family data in genetic association studies

The generalized linear mixed model (GLMM) is a useful tool for modeling genetic correlation among family data in genetic association studies. However, when dealing with families of varied sizes and diverse genetic relatedness, the GLMM has a special correlation structure which often makes it difficu...

Full description

Bibliographic Details
Main Authors: Tao eWang, Peng eHe, Kwang Woo eAhn, Xujing eWang, Soumitra eGhosh, Purushottam eLaud
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-03-01
Series:Frontiers in Genetics
Subjects:
genetic correlation
family data
genetic variance components
Cholesky decomposition
Re-parameterization
Bayesian methods.
Online Access:http://journal.frontiersin.org/Journal/10.3389/fgene.2015.00120/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fgene.2015.00120/full

Similar Items