Genotype–covariate correlation and interaction disentangled by a whole-genome multivariate reaction norm model
Abstract
The genomics era has brought useful tools to dissect the genetic architecture of complex traits. Here we propose a multivariate reaction norm model (MRNM) to tackle genotype–covariate (G–C) correlation and interaction problems. We apply MRNM to the UK Biobank data in analysis of body mass index using smoking quantity as a covariate, finding a highly significant G–C correlation, but only weak evidence for G–C interaction. In contrast, G–C...
Paper Details
Title
Genotype–covariate correlation and interaction disentangled by a whole-genome multivariate reaction norm model
Published Date
May 20, 2019
Journal
Volume
10
Issue
1
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