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

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

    Research output: Contribution to journalArticleResearchpeer-review

    22 Citations (Scopus)

    Abstract

    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 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.Results: Three 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.Conclusions: The 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. © 2012 Fernandez et al.; licensee BioMed Central Ltd.
    Original languageEnglish
    Article number41
    JournalBMC Genetics
    Volume13
    DOIs
    Publication statusPublished - 20 May 2012

    Keywords

    • Body conformation
    • Fatness
    • Growth
    • PorcineSNP60 Beadchip
    • QTL

    Fingerprint Dive into the research topics of 'Genome-wide linkage analysis of QTL for growth and body composition employing the PorcineSNP60 BeadChip'. Together they form a unique fingerprint.

    Cite this