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

Genome-wide linkage analysis of QTL for growth and body composition employing the PorcineSNP60 BeadChip.

BMC genetics - 20 May 2012

Fernández Ana I, Pérez-Montarelo Dafne, Barragán Carmen, Ramayo-Caldas Yuliaxis, Ibáñez-Escriche Noelia, Castelló Anna, Noguera Jose Luis, Silió Luis, Folch Josep María, Rodríguez M Carmen

Abstract excerpt

BACKGROUND: The traditional strategy to map QTL is to use linkage analysis employing a limited number of markers. These analyses report wide QTL confidence intervals, making very difficult to identify the gene and polymorphisms underlying the QTL effects. The arrival of genome-wide panels of SNPs makes available thousands of markers increasing the information content and therefore the likelihood of detecting and...

Read the complete abstract on PubMed

Topics

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

Share to Body Composition
Share to Chromosomes, Mammalian

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Association Studies

Share to Genetic Linkage

Share to Growth

Share to Oligonucleotide Array Sequence Analysis

Share to Quantitative Trait Loci

Source

Open in PubMed Open full text

Identifiers

PMID: 22607048
DOI: 10.1186/1471-2156-13-41
PMCID: PMC3432624

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Genome-wide linkage analysis of QTL for growth and body composition employing the PorcineSNP60 BeadChip.PMID 22607048Read ↗

Using genome wide association studies to identify common QTL regions in three different genetic backgrounds based on Iberian pig breed.Semantic proximity Read ↗

Genome-wide QTL mapping of nine body composition and bone mineral density traits in pigs.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 ↗

Fine mapping of porcine chromosome 6 QTL and LEPR effects on body composition in multiple generations of an Iberian by Landrace intercross.Semantic proximity Read ↗

An association study on imputed whole-genome resequencing from high-throughput sequencing data for body traits in crossbred pigs.Semantic proximity Read ↗

Genome-wide association studies for additive and dominance effects for body composition traits in commercial crossbred Piétrain pigs.Semantic proximity Read ↗

QTL mapping for growth and carcass traits in an Iberian by Landrace pig intercross: additive, dominant and epistatic effects.Semantic proximity Read ↗

Deciphering the regulation of porcine genes influencing growth, fatness and yield-related traits through genetical genomics.Semantic proximity Read ↗

A genome-wide association study of production traits in a commercial population of Large White pigs: evidence of haplotypes affecting meat quality.Semantic proximity Read ↗

Genome-wide association study for growth and fatness traits in Chinese Sujiang pigs.Semantic proximity Read ↗

Large-effect pleiotropic or closely linked QTL segregate within and across ten US cattle breeds.Semantic proximity Read ↗

Fine mapping of a distal chromosome 4 QTL affecting growth and muscle mass in a chicken advanced intercross line.Semantic proximity Read ↗

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