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Mapping of quantitative trait loci for cholesterol, LDL, HDL, and triglyceride serum concentrations in pigs.

Authors :
Gallardo D
Pena RN
Amills M
Varona L
Ramírez O
Reixach J
Díaz I
Tibau J
Soler J
Prat-Cuffi JM
Noguera JL
Quintanilla R
Source :
Physiological genomics [Physiol Genomics] 2008 Nov 12; Vol. 35 (3), pp. 199-209. Date of Electronic Publication: 2008 Sep 23.
Publication Year :
2008

Abstract

The fine mapping of polymorphisms influencing cholesterol (CT), triglyceride (TG), and lipoprotein serum levels in human and mouse has provided a wealth of knowledge about the complex genetic architecture of these traits. The extension of these genetic analyses to pigs would be of utmost importance since they constitute a valuable biological and clinical model for the study of coronary artery disease and myocardial infarction. In the present work, we performed a whole genome scan for serum lipid traits in a half-sib Duroc pig population of 350 individuals. Phenotypic registers included total CT, TG, and low (LDL)- and high (HDL)-density lipoprotein serum concentrations at 45 and 190 days of age. This approach allowed us to identify two genomewide significant quantitative trait loci (QTL) for HDL-to-LDL ratio at 45 days (SSC6, 84 cM) and for TG at 190 days (SSC4, 23 cM) as well as a number of chromosomewide significant QTL. The comparison of QTL locations at 45 and 190 days revealed a notable lack of concordance at these two time points, suggesting that the effects of these QTL are age specific. Moreover, we have observed a considerable level of correspondence among the locations of the most significant porcine lipid QTL and those identified in humans. This finding might suggest that, in mammals, diverse polymorphisms located in a common set of genes are involved in the genetic variation of serum lipid levels.

Details

Language :
English
ISSN :
1531-2267
Volume :
35
Issue :
3
Database :
MEDLINE
Journal :
Physiological genomics
Publication Type :
Academic Journal
Accession number :
18812458
Full Text :
https://doi.org/10.1152/physiolgenomics.90249.2008