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Article

A nested mixture model for genomic prediction using whole-genome SNP genotypes.

PloS one - 1 Jan 2018

Zeng Jian, Garrick Dorian, Dekkers Jack, Fernando Rohan

Abstract excerpt

Genomic prediction exploits single nucleotide polymorphisms (SNPs) across the whole genome for predicting genetic merit of selection candidates. In most models for genomic prediction, e.g. BayesA, B, C, R and GBLUP, independence of SNP effects is assumed. However, SNP effects are expected to be locally dependent given the presence of a nearby QTL because SNPs surrounding the QTL do not segregate independently. A...

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PMID: 29561877
DOI: 10.1371/journal.pone.0194683
PMCID: PMC5862491

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

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