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

Differential contribution of genomic regions to marked genetic variation and prediction of quantitative traits in broiler chickens.

Genetics, selection, evolution : GSE - 3 Feb 2016

Abdollahi-Arpanahi Rostam, Morota Gota, Valente Bruno D, Kranis Andreas, Rosa Guilherme J M, Gianola Daniel

Abstract excerpt

BACKGROUND: Genome-wide association studies in humans have found enrichment of trait-associated single nucleotide polymorphisms (SNPs) in coding regions of the genome and depletion of these in intergenic regions. However, a recent release of the ENCyclopedia of DNA elements showed that ~80 % of the human genome has a biochemical function. Similar studies on the chicken genome are lacking, thus assessing the...

Read the complete abstract on PubMed

Topics

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

Share to Body Weight
Share to Chickens

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Datasets as Topic

Share to Genome

Share to Quantitative Trait Loci

Share to Selection, Genetic

Source

Open in PubMed Open full text

Identifiers

PMID: 26842494
DOI: 10.1186/s12711-016-0187-z
PMCID: PMC4739338

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

Differential contribution of genomic regions to marked genetic variation and prediction of quantitative traits in broiler chickens.PMID 26842494Read ↗

Genome-enabled prediction of quantitative traits in chickens using genomic annotation.Semantic proximity Read ↗

A genome-wide association study reveals novel genomic regions and positional candidate genes for fat deposition in broiler chickens.Semantic proximity Read ↗

Whole-genome sequence-based genomic prediction in laying chickens with different genomic relationship matrices to account for genetic architecture.Semantic proximity Read ↗

The Chicken Pan-Genome Reveals Gene Content Variation and a Promoter Region Deletion in IGF2BP1 Affecting Body Size.Semantic proximity Read ↗

Dissection of additive genetic variability for quantitative traits in chickens using SNP markers.Semantic proximity Read ↗

Identifying Genetic Differences Between Dongxiang Blue-Shelled and White Leghorn Chickens Using Sequencing Data.Semantic proximity Read ↗

Effect of allele frequencies, effect sizes and number of markers on prediction of quantitative traits in chickens.Semantic proximity Read ↗

Genome-wide interval mapping using SNPs identifies new QTL for growth, body composition and several physiological variables in an F2 intercross between fat and lean chicken lines.Semantic proximity Read ↗

Genome-wide association study reveals novel variants for growth and egg traits in Dongxiang blue-shelled and White Leghorn chickens.Semantic proximity Read ↗

Genome-wide linkage analysis to identify chromosomal regions affecting phenotypic traits in the chicken. II. Body composition.Semantic proximity Read ↗

Genome-wide characterization of genetic variants and putative regions under selection in meat and egg-type chicken lines.Semantic proximity Read ↗

Identification of SNPs and INDELS associated with duck egg quality traits through a genome-wide association analysis.Semantic proximity Read ↗

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