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

Genome position specific priors for genomic prediction.

BMC genomics - 10 Oct 2012

Brøndum Rasmus Froberg, Su Guosheng, Lund Mogens Sandø, Bowman Philip J, Goddard Michael E, Hayes Benjamin J

Abstract excerpt

BACKGROUND: The accuracy of genomic prediction is highly dependent on the size of the reference population. For small populations, including information from other populations could improve this accuracy. The usual strategy is to pool data from different populations; however, this has not proven as successful as hoped for with distantly related breeds. BayesRS is a novel approach to share information across...

Read the complete abstract on PubMed

Topics

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

Share to Breeding
Share to Dietary Fats
Share to Genome

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Oligonucleotide Array Sequence Analysis

Share to Proteins

Share to Quantitative Trait, Heritable

Share to Sensitivity and Specificity

Source

Open in PubMed Open full text

Identifiers

PMID: 23050763
DOI: 10.1186/1471-2164-13-543
PMCID: PMC3534589

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

Genome position specific priors for genomic prediction.PMID 23050763Read ↗

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

Improved precision of QTL mapping using a nonlinear Bayesian method in a multi-breed population leads to greater accuracy of across-breed genomic predictions.Semantic proximity Read ↗

Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels.Semantic proximity Read ↗

Review: How to improve genomic predictions in small dairy cattle populations.Semantic proximity Read ↗

Within- and across-breed genomic prediction using whole-genome sequence and single nucleotide polymorphism panels.Semantic proximity Read ↗

Improving accuracy of genomic prediction by genetic architecture based priors in a Bayesian model.Semantic proximity Read ↗

Combining cow and bull reference populations to increase accuracy of genomic prediction and genome-wide association studies.Semantic proximity Read ↗

Application of a Bayesian non-linear model hybrid scheme to sequence data for genomic prediction and QTL mapping.Semantic proximity Read ↗

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

Genomic prediction based on selected variants from imputed whole-genome sequence data in Australian sheep populations.Semantic proximity Read ↗

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

Multi-breed genomic prediction using Bayes R with sequence data and dropping variants with a small effect.Semantic proximity Read ↗

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