Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Genomic prediction of genetic merit using LD-based haplotypes in the Nordic Holstein population.

BMC genomics - 23 Dec 2014

Cuyabano Beatriz C D, Su Guosheng, Lund Mogens S

Abstract excerpt

BACKGROUND: A haplotype approach to genomic prediction using high density data in dairy cattle as an alternative to single-marker methods is presented. With the assumption that haplotypes are in stronger linkage disequilibrium (LD) with quantitative trait loci (QTL) than single markers, this study focuses on the use of haplotype blocks (haploblocks) as explanatory variables for genomic prediction. Haploblocks...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Cattle
Share to Genomics

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Linkage Disequilibrium

Share to Models, Statistical

Share to Quantitative Trait, Heritable

Share to Quantitative Trait Loci

Share to Reproducibility of Results

Source

Open in PubMed Open full text

Identifiers

PMID: 25539631
DOI: 10.1186/1471-2164-15-1171
PMCID: PMC4367958

Provenance

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.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Genomic prediction of genetic merit using LD-based haplotypes in the Nordic Holstein population.PMID 25539631Read ↗

Selection of haplotype variables from a high-density marker map for genomic prediction.Semantic proximity Read ↗

Quantitative trait loci markers derived from whole genome sequence data increases the reliability of genomic prediction.Semantic proximity Read ↗

Short communication: The combined use of linkage disequilibrium-based haploblocks and allele frequency-based haplotype selection methods enhances genomic evaluation accuracy in dairy cattle.Semantic proximity Read ↗

Marker selection and genomic prediction of economically important traits using imputed high-density genotypes for 5 breeds of dairy cattle.Semantic proximity Read ↗

The effect of using genealogy-based haplotypes for genomic prediction.Semantic proximity Read ↗

Comparison of genomic predictions using medium-density (∼54,000) and high-density (∼777,000) single nucleotide polymorphism marker panels in Nordic Holstein and Red Dairy Cattle populations.Semantic proximity Read ↗

Fixed-length haplotypes can improve genomic prediction accuracy in an admixed dairy cattle population.Semantic proximity Read ↗

Genomic prediction using preselected DNA variants from a GWAS with whole-genome sequence data in Holstein-Friesian cattle.Semantic proximity Read ↗

Genome-enable prediction for health traits using high-density SNP panel in US Holstein cattle.Semantic proximity Read ↗

Alternative haplotype construction methods for genomic evaluation.Semantic proximity Read ↗

Comparative accuracies of genetic values predicted for economically important milk traits, genome-wide association, and linkage disequilibrium patterns of Canadian Holstein cows.Semantic proximity Read ↗

Comparing strategies for selection of low-density SNPs for imputation-mediated genomic prediction in U. S. Holsteins.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.