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 relationships based on X chromosome markers and accuracy of genomic predictions with and without X chromosome markers.

Genetics, selection, evolution : GSE - 30 Jul 2014

Su Guosheng, Guldbrandtsen Bernt, Aamand Gert P, Strandén Ismo, Lund Mogens S

Abstract excerpt

BACKGROUND: Although the X chromosome is the second largest bovine chromosome, markers on the X chromosome are not used for genomic prediction in some countries and populations. In this study, we presented a method for computing genomic relationships using X chromosome markers, investigated the accuracy of imputation from a low density (7K) to the 54K SNP (single nucleotide polymorphism) panel, and compared the...

Read the complete abstract on PubMed

Topics

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

Share to Breeding
Share to Cattle

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

Share to Chromosomes

Share to Genomics

Share to Linear Models

Share to Oligonucleotide Array Sequence Analysis

Share to Quantitative Trait, Heritable

Share to X Chromosome

Source

Open in PubMed Open full text

Identifiers

PMID: 25080199
DOI: 10.1186/1297-9686-46-47
PMCID: PMC4137273

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 relationships based on X chromosome markers and accuracy of genomic predictions with and without X chromosome markers.PMID 25080199Read ↗

Reliability of genomic prediction for German Holsteins using imputed genotypes from low-density chips.Semantic proximity Read ↗

Short communication: Imputation of markers on the bovine X chromosome.Semantic proximity Read ↗

Impact of genotype imputation on the performance of GBLUP and Bayesian methods for genomic prediction.Semantic proximity Read ↗

Utility of whole-genome sequence data for across-breed genomic prediction.Semantic proximity Read ↗

Accuracy of prediction of simulated polygenic phenotypes and their underlying quantitative trait loci genotypes using real or imputed whole-genome markers in cattle.Semantic proximity Read ↗

Genomic predictions based on animal models using genotype imputation on a national scale in Norwegian Red cattle.Semantic proximity Read ↗

Genomic prediction using imputed whole-genome sequence data in Holstein Friesian cattle.Semantic proximity Read ↗

Strategies and utility of imputed SNP genotypes for genomic analysis in dairy cattle.Semantic proximity Read ↗

Genomic breeding value estimation using genetic markers, inferred ancestral haplotypes, and the genomic relationship matrix.Semantic proximity Read ↗

Genomic prediction in French Charolais beef cattle using high-density single nucleotide polymorphism markers.Semantic proximity Read ↗

Comparison on genomic predictions using three GBLUP methods and two single-step blending methods in the Nordic Holstein population.Semantic proximity Read ↗

Genomic predictions across Nordic Holstein and Nordic Red using the genomic best linear unbiased prediction model with different genomic relationship matrices.Semantic proximity Read ↗

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