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http://dx.doi.org/10.5713/ajas.2002.932

Quantitative Trait Loci Mapping for Porcine Backfat Thickness  

Wu, X.L. (Lab. for Molecular Biology Applied to Animal Production, Institute of Animal & Veterinary Science)
Lee, C. (Laboratory of Statistical Genetics, Institute of Environment and Life Science, Hallym University)
Jiang, J. (Lab. for Molecular Biology Applied to Animal Production, Institute of Animal & Veterinary Science)
Peng, Y.L. (Lab. for Molecular Biology Applied to Animal Production, Institute of Animal & Veterinary Science)
Yan, H.F. (Lab. for Molecular Biology Applied to Animal Production, Institute of Animal & Veterinary Science)
Yang, S.L. (Lab. for Molecular Biology Applied to Animal Production, Institute of Animal & Veterinary Science)
Xiao, B.N. (Lab. for Molecular Biology Applied to Animal Production, Institute of Animal & Veterinary Science)
Liu, X.C. (College of Animal Science and Technology, Hunan Agricultural University)
Shi, Q.S. (College of Animal Science and Technology, Hunan Agricultural University)
Publication Information
Asian-Australasian Journal of Animal Sciences / v.15, no.7, 2002 , pp. 932-937 More about this Journal
Abstract
A partial genome scan using porcine microsatellites was carried out to detect quantitative trait loci (QTL) for backfat thickness (BFT) in a pig reference population. This population carried QTL on chromosomes 1, 13 and 18. The QTL on chromosome 1 was located between marker loci S0113 and SW1301. The QTL corresponded to very low density lipoprotein receptor gene (VLDLR) in location and in biological effects, suggesting that VLDLR might be a candidate gene. The QTL found on chromosome 13 was found between marker loci SWR1941 and SW864, but significance for the marker-trait association was inconsistent by using data with different generations. The QTL on chromosome 18 was discovered between markers S0062 and S0117, and it was in proximity of the regions where IGFBP3 and GHRHR were located. The porcine obese gene might be also a candidate gene for the QTL on chromosome 18. In order to understand genetic architecture of BFT better, fine mapping and positional comparative candidate gene analyses are necessary.
Keywords
Backfat; Genome Scan; Microsatellites; QTL; Pigs;
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