An approximate Bayesian significance test for genomic evaluations

DOI10.1002/bimj.201700219zbMath1412.62185OpenAlexW2886917005WikidataQ57169771 ScholiaQ57169771MaRDI QIDQ4622569

Volkmar Liebscher, Dörte Wittenburg

Publication date: 12 February 2019

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.201700219

zbMATH Keywords

epistasisconditional expectationdominanceSNPgenetic architecture

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Protein sequences, DNA sequences (92D20)

Uses Software

• R
• BLR
• GLIDE
• FastEpistasis

Cites Work

• Unnamed Item
• Statistical and computational challenges in whole genome prediction and genome-wide association analyses for plant and animal breeding
• An integrated approach to empirical Bayesian whole genome prediction modeling
• Evidence and credibility: Full Bayesian signifiance test for precise hypotheses
• An exploration of aspects of Bayesian multiple testing

This page was built for publication: An approximate Bayesian significance test for genomic evaluations