ArticlePloS one2018
Using genome wide association studies to identify common QTL regions in three different genetic backgrounds based on Iberian pig breed.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed, 51 citations in OpenAlex.
- Genome-Wide Association Study and Genomic Selection for Average Daily Gain in Ashidan Yak.Animals : an open access journal from MDPI · 2026Article
- Causal variants in animal genomes: approaches to identification, phenotypic impact, and implications for selective breeding.BMC genomics · 2026Review
- A functional variant in the porcine APOA2 promoter alters hepatic gene expression via RORα.Scientific reports · 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 Belly Traits in Canadian Commercial Crossbred Pigs.Animals : an open access journal from MDPI · 2025Article
- Identification of candidate regulatory genes for intramuscular fatty acid composition in pigs by transcriptome analysis.Genetics, selection, evolution : GSE · 2024Article
- The influence of host genotype and gut microbial interactions on feed efficiency traits in pigs.Frontiers in microbiology · 2024Article
- Association analysis between Acetyl-Coenzyme A Acyltransferase-1 gene polymorphism and growth traits in Xiangsu pigs.Frontiers in genetics · 2024Article
- Utilizing Variants Identified with Multiple Genome-Wide Association Study Methods Optimizes Genomic Selection for Growth Traits in Pigs.Animals : an open access journal from MDPI · 2023Article
- Article
- Identification of candidate genes forFrontiers in plant science · 2023Article
- SNP discovery and association study for growth, fatness and meat quality traits in Iberian crossbred pigs.Scientific reports · 2022Article
- Genetic diversity and population structure of six autochthonous pig breeds from Croatia, Serbia, and Slovenia.Genetics, selection, evolution : GSE · 2022Article
- Genetic architecture and major genes for backfat thickness in pig lines of diverse genetic backgrounds.Genetics, selection, evolution : GSE · 2021Article
- Single-Step Genome Wide Association Study Identifies QTL Signals for Untrimmed and Trimmed Thigh Weight in Italian Crossbred Pigs for Dry-Cured Ham Production.Animals : an open access journal from MDPI · 2021Article
- Genome-wide detection of CNV regions and their potential association with growth and fatness traits in Duroc pigs.BMC genomics · 2021Article
- Identification of strong candidate genes for backfat and intramuscular fatty acid composition in three crosses based on the Iberian pig.Scientific reports · 2020Article
- Mammalian Annotation Database for improved annotation and functional classification of Omics datasets from less well-annotated organisms.Database : the journal of biological databases and curation · 2019Article
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
One of the major limitation for the application of QTL results in pig breeding and QTN identification has been the limited number of QTL effects validated in different animal material. The aim of the current work was to validate QTL regions through joint and specific genome wide association and haplotype analyses for growth, fatness and premier cut weights in three different genetic backgrounds, backcrosses based on Iberian pigs, which has a major role in the analysis due to its high productive relevance. The results revealed nine common QTL regions, three segregating in all three backcrosses on SSC1, 0-3 Mb, for body weight, on SSC2, 3-9 Mb, for loin bone-in weight, and on SSC7, 3 Mb, for shoulder weight, and six segregating in two of the three backcrosses, on SSC2, SSC4, SSC6 and SSC10 for backfat thickness, shoulder and ham weights. Besides, 18 QTL regions were specifically identified in one of the three backcrosses, five identified only in BC_LD, seven in BC_DU and six in BC_PI. Beyond identifying and validating QTL, candidate genes and gene variants within the most interesting regions have been explored using functional annotation, gene expression data and SNP identification from RNA-Seq data. The results allowed us to propose a promising list of candidate mutations, those identified in PDE10A, DHCR7, MFN2 and CCNY genes located within the common QTL regions and those identified near ssc-mir-103-1 considered PANK3 regulators to be further analysed.
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