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Article

Improving the computational efficiency of fully Bayes inference and assessing the effect of misspecification of hyperparameters in whole-genome prediction models.

Genetics, selection, evolution : GSE - 7 Mar 2015

Yang Wenzhao, Chen Chunyu, Tempelman Robert J

Abstract excerpt

BACKGROUND: The reliability of whole-genome prediction models (WGP) based on using high-density single nucleotide polymorphism (SNP) panels critically depends on proper specification of key hyperparameters. A currently popular WGP model labeled BayesB specifies a hyperparameter π, that is `loosely used to describe the proportion of SNPs that are in linkage disequilibrium (LD) with causal variants. The remaining...

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PMID: 25885894
DOI: 10.1186/s12711-015-0092-x
PMCID: PMC4351701

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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