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

Topics Community

Article

Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits.

BMC genomics - 27 Feb 2016

MacLeod I M, Bowman P J, Vander Jagt C J, Haile-Mariam M, Kemper K E, Chamberlain A J, Schrooten C, Hayes B J, Goddard M E

Abstract excerpt

BACKGROUND: Dense SNP genotypes are often combined with complex trait phenotypes to map causal variants, study genetic architecture and provide genomic predictions for individuals with genotypes but no phenotype. A single method of analysis that jointly fits all genotypes in a Bayesian mixture model (BayesR) has been shown to competitively address all 3 purposes simultaneously. However, BayesR and other similar...

Topics

Animals
Bayes Theorem
Cattle
Female
Genomics
Genotype
Male
Models, Genetic
Phenotype
Polymorphism, Single Nucleotide
Quantitative Trait Loci

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Open in PubMed Open full text

Identifiers

PMID: 26920147
DOI: 10.1186/s12864-016-2443-6
PMCID: PMC4769584

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 31 Aug 2026.

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits.PMID 26920147Read ↗

Bayesian genome-wide analysis of cattle traits using variants with functional and evolutionary significanceSemantic proximity Read ↗

A multi-trait Bayesian method for mapping QTL and genomic prediction.Semantic proximity Read ↗

Use of biological priors enhances understanding of genetic architecture and genomic prediction of complex traits within and between dairy cattle breeds.Semantic proximity Read ↗

Genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations.Semantic proximity Read ↗

Application of Bayesian genomic prediction methods to genome-wide association analyses.Semantic proximity Read ↗

Probabilistic inference of the genetic architecture underlying functional enrichment of complex traitsSemantic proximity Read ↗

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

Probabilistic inference of the genetic architecture underlying functional enrichment of complex traits.Semantic proximity Read ↗

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

An evaluation of the predictive performance and mapping power of the BayesR model for genomic prediction.Semantic proximity Read ↗

Genetics of complex traits: prediction of phenotype, identification of causal polymorphisms and genetic architecture.Semantic proximity Read ↗

Sequence variants selected from a multi-breed GWAS can improve the reliability of genomic predictions in dairy cattle.Semantic proximity Read ↗

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