Article
Adjusting for Spatial Effects in Genomic Prediction
arxiv
Document Type
Article
Disciplines
Publication Version
Submitted Manuscript
Publication Date
7-26-2019
Abstract
This paper investigates the problem of adjusting for spatial effects in genomic prediction. Despite being seldomly considered in genome-wide association studies (GWAS), spatial effects often affect phenotypic measurements of plants. We consider a Gaussian random field (GRF) model with an additive covariance structure that incorporates genotype effects, spatial effects and subpopulation effects. An empirical study shows the existence of spatial effects and heterogeneity across different subpopulation families while simulations illustrate the improvement in selecting genotypically superior plants by adjusting for spatial effects in genomic prediction.
Copyright Owner
The Authors
Copyright Date
2019
Language
en
File Format
application/pdf
Citation Information
Xiaojun Mao, Somak Dutta, Raymond K. W. Wong and Dan Nettleton. "Adjusting for Spatial Effects in Genomic Prediction" arxiv (2019) Available at: http://works.bepress.com/dan-nettleton/131/
This is a pre-print made available through arxiv: https://arxiv.org/abs/1907.11581.