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

Estimation of (co)variances for genomic regions of flexible sizes: application to complex infectious udder diseases in dairy cattle.

Genetics, selection, evolution : GSE - 6 Jul 2012

Sørensen Lars P, Janss Luc, Madsen Per, Mark Thomas, Lund Mogens S

Abstract excerpt

BACKGROUND: Multi-trait genomic models in a Bayesian context can be used to estimate genomic (co)variances, either for a complete genome or for genomic regions (e.g. per chromosome) for the purpose of multi-trait genomic selection or to gain further insight into the genomic architecture of related traits such as mammary disease traits in dairy cattle. METHODS: Data on progeny means of six traits related to...

Read the complete abstract on PubMed

Topics

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

Share to Chromosomes, Mammalian
Share to Genetic Pleiotropy

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome Size

Share to Mammary Glands, Animal

Share to Markov Chains

Share to Mastitis, Bovine

Share to Monte Carlo Method

Share to Streptococcus

Source

Open in PubMed Open full text

Identifiers

PMID: 22640006
DOI: 10.1186/1297-9686-44-18
PMCID: PMC3390905

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

Estimation of (co)variances for genomic regions of flexible sizes: application to complex infectious udder diseases in dairy cattle.PMID 22640006Read ↗

Multi-trait single-step genomic prediction accounting for heterogeneous (co)variances over the genome.Semantic proximity Read ↗

Modeling heterogeneous (co)variances from adjacent-SNP groups improves genomic prediction for milk protein composition traits.Semantic proximity Read ↗

Genomic dissection of the correlation between milk yield and various health traits using functional and evolutionary information about imputed sequence variants of 34,497 German Holstein cows.Semantic proximity Read ↗

The patterns of genomic variances and covariances across genome for milk production traits between Chinese and Nordic Holstein populations.Semantic proximity Read ↗

Association analysis for udder health based on SNP-panel and sequence data in Danish Holsteins.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 ↗

Distinguishing pleiotropy from linked QTL between milk production traits and mastitis resistance in Nordic Holstein cattle.Semantic proximity Read ↗

Genetic parameters for clinical mastitis and somatic cell count for the Nordic dairy cattle populations.Semantic proximity Read ↗

Genetic and genomic analyses underpin the feasibility of concomitant genetic improvement of milk yield and mastitis resistance in dairy sheep.Semantic proximity Read ↗

Prioritizing candidate genes post-GWAS using multiple sources of data for mastitis resistance in dairy cattle.Semantic proximity Read ↗

Partitioning of genomic variance reveals biological pathways associated with udder health and milk production traits in dairy cattle.Semantic proximity Read ↗

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

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