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Article

A comparison of principal component regression and genomic REML for genomic prediction across populations.

Genetics, selection, evolution : GSE - 5 Nov 2014

Dadousis Christos, Veerkamp Roel F, Heringstad Bjørg, Pszczola Marcin, Calus Mario P L

Abstract excerpt

BACKGROUND: Genomic prediction faces two main statistical problems: multicollinearity and n ≪ p (many fewer observations than predictor variables). Principal component (PC) analysis is a multivariate statistical method that is often used to address these problems. The objective of this study was to compare the performance of PC regression (PCR) for genomic prediction with that of a commonly used REML model with a...

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Identifiers

PMID: 25370926
DOI: 10.1186/s12711-014-0060-x
PMCID: PMC4220066

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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