Incorporating genetic heterogeneity in whole-genome regressions using interactions

DOI10.1007/s13253-015-0222-5zbMath1329.62452OpenAlexW2163738892WikidataQ40218795 ScholiaQ40218795MaRDI QIDQ906068

Paulino Pérez-Rodríguez, Ana I. Vazquez, Yogasudha Veturi, Gustavo de los Campos, Christina Lehermeier

Publication date: 29 January 2016

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-015-0222-5

zbMATH Keywords

population structureBayesiangenomic predictiongenomic selectionmulti-breed analysis

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Protein sequences, DNA sequences (92D20)

Related Items (3)

Joint genome-wide prediction in several populations accounting for randomness of genotypes: a hierarchical Bayes approach. I: Multivariate Gaussian priors for marker effects and derivation of the joint probability mass function of genotypes ⋮ Statistical and computational challenges in whole genome prediction and genome-wide association analyses for plant and animal breeding ⋮ Joint genome-wide prediction in several populations accounting for randomness of genotypes: a hierarchical Bayes approach. II: Multivariate spike and slab priors for marker effects and derivation of approximate Bayes and fractional Bayes factors for the complete family of models

Uses Software

• PSMIX
• BGLR

Cites Work

• Population structure and cryptic relatedness in genetic association studies
• The Bayesian Lasso

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