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Article

Enlarging a training set for genomic selection by imputation of un-genotyped animals in populations of varying genetic architecture.

Genetics, selection, evolution : GSE - 26 Apr 2013

Pimentel Eduardo C G, Wensch-Dorendorf Monika, König Sven, Swalve Hermann H

Abstract excerpt

BACKGROUND: The most common application of imputation is to infer genotypes of a high-density panel of markers on animals that are genotyped for a low-density panel. However, the increase in accuracy of genomic predictions resulting from an increase in the number of markers tends to reach a plateau beyond a certain density. Another application of imputation is to increase the size of the training set with...

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PMID: 23621897
DOI: 10.1186/1297-9686-45-12
PMCID: PMC3652763

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

Source receipt: pubmed, retrieved 6 Sept 2026.

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