Application of whole-genome prediction methods for genome-wide association studies: a Bayesian approach

DOI10.1007/s13253-017-0277-6zbMath1366.62254OpenAlexW2607240561WikidataQ59612207 ScholiaQ59612207MaRDI QIDQ2363982

Anna Wolc, Dorian Garrick, Rohan L. Fernando, Jack C. M. Dekkers, Ali Nassiri Toosi

Publication date: 17 July 2017

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

Full work available at URL: https://doi.org/10.1007/s13253-017-0277-6

zbMATH Keywords

genome-wide association studiesBayesian multiple regressiongenomewise error rateposterior type I error ratewhole-genome prediction

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15) Protein sequences, DNA sequences (92D20)

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