Article

Bayesian genome-wide analysis of cattle traits using variants with functional and evolutionary significance

2021-05-05

Abstract excerpt

<h4>Context</h4> Functional genomics studies have revealed genomic regions with regulatory and evolutionary significance. Such information independent of association analysis may benefit fine-mapping and genomic selection of economically important traits. However, systematic evaluation of the use of functional information in mapping, and genomic selection of cattle traits is lacking. Also, Single Nucleotide Polym...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: a208ac28-06b5-53f4-b3ef-d004d53c7117
DOI: 10.1101/2021.05.05.442705

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Bayesian genome-wide analysis of cattle traits using variants with functional and evolutionary significanceDOI 10.1101/2021.05.05.442705Read

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

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

GWAS and Fine-Mapping of Livability and Six Disease Traits in Holstein CattleSemantic proximity Read

Quantifying the contribution of sequence variants with regulatory and evolutionary significance to 34 bovine complex traitsSemantic 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

GWAS and fine-mapping of livability and six disease traits in Holstein cattle.Semantic proximity Read

The potential of AI models to identify regulatory variants underlying cattle traitsSemantic proximity Read

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

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

Pangenome-based structural variant imputation enables large-scale genotype-phenotype studies in dairy cattle.Semantic proximity Read

Targeted imputation of sequence variants and gene expression profiling identifies twelve candidate genes associated with lactation volume, composition and calving interval in dairy cattle.Semantic proximity Read

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