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

Strategies for imputation to whole genome sequence using a single or multi-breed reference population in cattle.

BMC genomics - 27 Aug 2014

Brøndum Rasmus Froberg, Guldbrandtsen Bernt, Sahana Goutam, Lund Mogens Sandø, Su Guosheng

Abstract excerpt

BACKGROUND: The advent of low cost next generation sequencing has made it possible to sequence a large number of dairy and beef bulls which can be used as a reference for imputation of whole genome sequence data. The aim of this study was to investigate the accuracy and speed of imputation from a high density SNP marker panel to whole genome sequence level. Data contained 132 Holstein, 42 Jersey, 52 Nordic Red...

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
Share to Genome

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genotyping Techniques

Share to High-Throughput Nucleotide Sequencing

Share to Reference Standards

Share to Sequence Analysis, DNA

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 25164068
DOI: 10.1186/1471-2164-15-728
PMCID: PMC4152568

Provenance

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.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Strategies for imputation to whole genome sequence using a single or multi-breed reference population in cattle.PMID 25164068Read ↗

Short communication: Accuracy of whole-genome sequence imputation in Angus cattle using within-breed and multi breed reference populations.Semantic proximity Read ↗

Novel methods for genotype imputation to whole-genome sequence and a simple linear model to predict imputation accuracy.Semantic proximity Read ↗

Accuracy of imputation to whole-genome sequence data in Holstein Friesian cattle.Semantic proximity Read ↗

Comparison of different methods for imputing genome-wide marker genotypes in Swedish and Finnish Red Cattle.Semantic proximity Read ↗

Impact of reference population on accuracy of imputation from 6K to 50K single nucleotide polymorphism chips in purebred and crossbreed beef cattle.Semantic proximity Read ↗

Short communication: genotype imputation within and across Nordic cattle breeds.Semantic proximity Read ↗

Imputation of high-density genotypes in the Fleckvieh cattle population.Semantic proximity Read ↗

Error rate for imputation from the Illumina BovineSNP50 chip to the Illumina BovineHD chip.Semantic proximity Read ↗

Consequences of splitting whole-genome sequencing effort over multiple breeds on imputation accuracy.Semantic proximity Read ↗

Prediction of unobserved single nucleotide polymorphism genotypes of Jersey cattle using reference panels and population-based imputation algorithms.Semantic proximity Read ↗

Optimizing genomic prediction for Australian Red dairy cattle.Semantic proximity Read ↗

A multi-breed reference panel and additional rare variants maximize imputation accuracy in cattle.Semantic proximity Read ↗

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