ArticleBMC genetics2012
Genome-wide linkage analysis of QTL for growth and body composition employing the PorcineSNP60 BeadChip.
Article in BMC genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Genes and Gene Functions Associated with Morphological, Productive, Reproductive, and Carcass Quality Traits in Pigs: A Functional Bioinformatics Approach.Current issues in molecular biology · 2026Article
- Genome-wide association analyses for growth, carcass composition, and meat quality traits of Iberian pigs fattened in free open air.Journal of animal science · 2026Article
- Genome-wide association study for loin muscle area of commercial crossbred pigs.Animal bioscience · 2023Article
- Genome-wide identification of loci associated with growth in rainbow trout.BMC genomics · 2020Article
- Genome-wide association study and genomic predictions for exterior traits in Yorkshire pigs1.Journal of animal science · 2019Article
- Characterization of the acute heat stress response in gilts: III. Genome-wide association studies of thermotolerance traits in pigs.Journal of animal science · 2018Article
- A genome-wide association study of growth and fatness traits in two pig populations with different genetic backgrounds.Journal of animal science · 2018Article
- Using genome wide association studies to identify common QTL regions in three different genetic backgrounds based on Iberian pig breed.PloS one · 2018Article
- Deciphering the regulation of porcine genes influencing growth, fatness and yield-related traits through genetical genomics.Mammalian genome : official journal of the International Mammalian Genome Society · 2017Article
- Genetic diversity, extent of linkage disequilibrium and persistence of gametic phase in Canadian pigs.BMC genetics · 2017Article
- Article
- Expression-based GWAS identifies variants, gene interactions and key regulators affecting intramuscular fatty acid content and composition in porcine meat.Scientific reports · 2016Article
- Efficient SNP Discovery by Combining Microarray and Lab-on-a-Chip Data for Animal Breeding and Selection.Microarrays (Basel, Switzerland) · 2015Review
- Genome-wide association analyses reveal significant loci and strong candidate genes for growth and fatness traits in two pig populations.Genetics, selection, evolution : GSE · 2015Article
- Identification of genes regulating growth and fatness traits in pig through hypothalamic transcriptome analysis.Physiological genomics · 2014Article
- A co-association network analysis of the genetic determination of pig conformation, growth and fatness.PloS one · 2014Article
- Genome wide screening of candidate genes for improving piglet birth weight using high and low estimated breeding value populations.International journal of biological sciences · 2014Article
- Discovery of candidate genes for muscle traits based on GWAS supported by eQTL-analysis.International journal of biological sciences · 2014Article
- Genome-wide analysis of porcine backfat and intramuscular fat fatty acid composition using high-density genotyping and expression data.BMC genomics · 2013Article
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10 authors.
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Abstract
backgroundThe 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 fine mapping QTL regions. The aims of the current study are to confirm previous QTL regions for growth and body composition traits in different generations of an Iberian x Landrace intercross (IBMAP) and especially identify new ones with narrow confidence intervals by employing the PorcineSNP60 BeadChip in linkage analyses.
resultsThree generations (F3, Backcross 1 and Backcross 2) of the IBMAP and their related animals were genotyped with PorcineSNP60 BeadChip. A total of 8,417 SNPs equidistantly distributed across autosomes were selected after filtering by quality, position and frequency to perform the QTL scan. The joint and separate analyses of the different IBMAP generations allowed confirming QTL regions previously identified in chromosomes 4 and 6 as well as new ones mainly for backfat thickness in chromosomes 4, 5, 11, 14 and 17 and shoulder weight in chromosomes 1, 2, 9 and 13; and many other to the chromosome-wide signification level. In addition, most of the detected QTLs displayed narrow confidence intervals, making easier the selection of positional candidate genes.
conclusionsThe use of higher density of markers has allowed to confirm results obtained in previous QTL scans carried out with microsatellites. Moreover several new QTL regions have been now identified in regions probably not covered by markers in previous scans, most of these QTLs displayed narrow confidence intervals. Finally, prominent putative biological and positional candidate genes underlying those QTL effects are listed based on recent porcine genome annotation.
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