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

Invited review: Good practices in genome-wide association studies to identify candidate sequence variants in dairy cattle.

Journal of dairy science - 1 Aug 2023

Sahana G, Cai Z, Sanchez M P, Bouwman A C, Boichard D

Abstract excerpt

Genotype data from dairy cattle selection programs have greatly facilitated GWAS to identify variants related to economic traits. Results can enhance the accuracy of genomic prediction, analyze more complex models that go beyond additive effects, elucidate the genetic architecture of a trait, and finally, decipher the underlying biology of traits. The entire process, comprising data generation, quality control,...

Read the complete abstract on PubMed

Topics

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

Share to Cattle
Share to Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genotype

Share to Phenotype

Share to Polymorphism, Single Nucleotide

Share to Quantitative Trait Loci

Share to Reproducibility of Results

Source

Identifiers

PMID: 37349208
DOI: 10.3168/jds.2022-22694

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

Invited review: Good practices in genome-wide association studies to identify candidate sequence variants in dairy cattle.PMID 37349208Read ↗

[Advances on genome-wide association study for economically important traits in dairy cattle].Semantic proximity Read ↗

Genomic Selection in Dairy Cattle: The USDA Experience.Semantic proximity Read ↗

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

Opportunities and computational challenges in large-scale whole-genome sequencing data analysis.Semantic proximity Read ↗

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

Invited review: A perspective on the future of genomic selection in dairy cattle.Semantic proximity Read ↗

The research progress of genomic selection in livestock.Semantic proximity Read ↗

Genomic signatures reveal new evidences for selection of important traits in domestic cattle.Semantic proximity Read ↗

Identification of selection signatures in cattle breeds selected for dairy production.Semantic proximity Read ↗

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

Use of meta-analyses and joint analyses to select variants in whole genome sequences for genomic evaluation: An application in milk production of French dairy cattle breeds.Semantic proximity Read ↗

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

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