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Article

Genome-wide prediction using Bayesian additive regression trees.

Genetics, selection, evolution : GSE - 10 Jun 2016

Waldmann Patrik

Abstract excerpt

BACKGROUND: The goal of genome-wide prediction (GWP) is to predict phenotypes based on marker genotypes, often obtained through single nucleotide polymorphism (SNP) chips. The major problem with GWP is high-dimensional data from many thousands of SNPs scored on several thousands of individuals. A large number of methods have been developed for GWP, which are mostly parametric methods that assume statistical...

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Identifiers

PMID: 27286957
DOI: 10.1186/s12711-016-0219-8
PMCID: PMC4901500

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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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