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

An exploratory data analysis on genetic architecture in Bos taurus through miRNAs within QTLs and their target genes.

Animal biotechnology - 1 Dec 2023

Ortiz Hadassa G, Domingues William B, Kremer Frederico S, Campos Vinicius F

Abstract excerpt

Understanding the genetic architecture is important because it allows us to understand the relationship between molecular markers, like miRNAs, QTLs and SNPs, and traits of interest such as milk yield, lipidic content in milk, heat tolerance etc. In the present study we performed an exploratory analysis that found an association of 480 miRNAs within QTLs related to 155 traits. We also discovered that those 480...

Read the complete abstract on PubMed

Topics

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

Share to Cattle
Share to Chromosome Mapping
Share to Milk

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Phenotype

Share to Polymorphism, Single Nucleotide

Share to Quantitative Trait Loci

Source

Identifiers

PMID: 36519853
DOI: 10.1080/10495398.2022.2154223

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

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

An exploratory data analysis on genetic architecture in Bos taurus through miRNAs within QTLs and their target genes.PMID 36519853Read ↗

Using QTL to Identify Genes and Pathways Underlying the Regulation and Production of Milk Components in CattleSemantic proximity Read ↗

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

Fine-mapping of BTA17 using imputed sequences for associations with de novo synthesized fatty acids in bovine milk.Semantic proximity Read ↗

Identification of Hub Genes and Target miRNAs Crucial for Milk Production in Holstein Friesian Dairy Cattle.Semantic proximity Read ↗

A quantitative trait locus on Bos taurus autosome 17 explains a large proportion of the genetic variation in de novo synthesized milk fatty acids.Semantic proximity Read ↗

Genome-wide association and functional genomic analyses of teat placement traits derived from robotic milking systems in American Holstein cattle.Semantic proximity Read ↗

Expression variants of the lipogenic AGPAT6 gene affect diverse milk composition phenotypes in Bos taurus.Semantic proximity Read ↗

Antagonistic genetic correlations for milking traits within the genome of dairy cattle.Semantic proximity Read ↗

Search for pleiotropic QTL on chromosome BTA6 affecting yield traits of milk production.Semantic proximity Read ↗

Meta-assembly of genomic associations to identify cattle fat depot candidate genes and pleiotropic effects.Semantic proximity Read ↗

Performing QTL and eQTL Analyses with the R-Package GenomicTools.Semantic proximity Read ↗

Sequence-based Association Analysis Reveals an MGST1 eQTL with Pleiotropic Effects on Bovine Milk Composition.Semantic proximity Read ↗

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