Genome-wide linkage scan reveals multiple susceptibility loci influencing lipid and lipoprotein levels in the Québec Family Study

A genome-wide linkage study was performed to identify chromosomal regions harboring genes influencing lipid and lipoprotein levels. Linkage analyses were conducted for four quantitative lipoprotein/lipid traits, i.e., total cholesterol, triglyceride, HDL-cholesterol (HDL-C), and LDL-C concentrations...

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Main Authors: Y. Bossé, Y.C. Chagnon, J-P. Després, T. Rice, D.C. Rao, C. Bouchard, L. Pérusse, M-C. Vohl
Format: Article
Language:English
Published: Elsevier 2004-03-01
Series:Journal of Lipid Research
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0022227520318691
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record_format Article
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language English
format Article
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author Y. Bossé
Y.C. Chagnon
J-P. Després
T. Rice
D.C. Rao
C. Bouchard
L. Pérusse
M-C. Vohl
spellingShingle Y. Bossé
Y.C. Chagnon
J-P. Després
T. Rice
D.C. Rao
C. Bouchard
L. Pérusse
M-C. Vohl
Genome-wide linkage scan reveals multiple susceptibility loci influencing lipid and lipoprotein levels in the Québec Family Study
Journal of Lipid Research
genome scan
genetics
blood lipids
quantitative trait locus
triglyceride
cholesterol
author_facet Y. Bossé
Y.C. Chagnon
J-P. Després
T. Rice
D.C. Rao
C. Bouchard
L. Pérusse
M-C. Vohl
author_sort Y. Bossé
title Genome-wide linkage scan reveals multiple susceptibility loci influencing lipid and lipoprotein levels in the Québec Family Study
title_short Genome-wide linkage scan reveals multiple susceptibility loci influencing lipid and lipoprotein levels in the Québec Family Study
title_full Genome-wide linkage scan reveals multiple susceptibility loci influencing lipid and lipoprotein levels in the Québec Family Study
title_fullStr Genome-wide linkage scan reveals multiple susceptibility loci influencing lipid and lipoprotein levels in the Québec Family Study
title_full_unstemmed Genome-wide linkage scan reveals multiple susceptibility loci influencing lipid and lipoprotein levels in the Québec Family Study
title_sort genome-wide linkage scan reveals multiple susceptibility loci influencing lipid and lipoprotein levels in the québec family study
publisher Elsevier
series Journal of Lipid Research
issn 0022-2275
publishDate 2004-03-01
description A genome-wide linkage study was performed to identify chromosomal regions harboring genes influencing lipid and lipoprotein levels. Linkage analyses were conducted for four quantitative lipoprotein/lipid traits, i.e., total cholesterol, triglyceride, HDL-cholesterol (HDL-C), and LDL-C concentrations, in 930 subjects enrolled in the Québec Family Study. A maximum of 534 pairs of siblings from 292 nuclear families were available. Linkage was tested using both allele-sharing and variance-component linkage methods. The strongest evidence of linkage was found on chromosome 12q14.1 at marker D12S334 for HDL-C, with a logarithm of the odds (LOD) score of 4.06. Chromosomal regions harboring quantitative trait loci (QTLs) for LDL-C included 1q43 (LOD = 2.50), 11q23.2 (LOD = 3.22), 15q26.1 (LOD = 3.11), and 19q13.32 (LOD = 3.59). In the case of triglycerides, three markers located on 2p14, 11p13, and 11q24.1 provided suggestive evidence of linkage (LOD > 1.75). Tests for total cholesterol levels yielded significant evidence of linkage at 15q26.1 and 18q22.3 with the allele-sharing linkage method, but the results were nonsignificant with the variance-component method.In conclusion, this genome scan provides evidence for several QTLs influencing lipid and lipoprotein levels. Promising candidate genes were located in the vicinity of the genomic regions showing evidence of linkage.
topic genome scan
genetics
blood lipids
quantitative trait locus
triglyceride
cholesterol
url http://www.sciencedirect.com/science/article/pii/S0022227520318691
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spelling doaj-55988ef638e24d798cf879e597a7dfea2021-04-27T11:49:18ZengElsevierJournal of Lipid Research0022-22752004-03-01453419426Genome-wide linkage scan reveals multiple susceptibility loci influencing lipid and lipoprotein levels in the Québec Family StudyY. Bossé0Y.C. Chagnon1J-P. Després2T. Rice3D.C. Rao4C. Bouchard5L. Pérusse6M-C. Vohl7Lipid Research Center, Laval University Medical Research Center, Québec, Canada; Department of Food Science and Nutrition, Laval University, Québec, Canada; Laval University-Robert Giffard Research Center, Beauport, Canada; The Quebec Heart Institute, Québec, Canada; Division of Biostatistics, Washington University School of Medicine, St. Louis, MO; Pennington Biomedical Research Center, Baton Rouge, LA; Division of Kinesiology, Department of Social and Preventive Medicine, Laval University, Québec, CanadaLipid Research Center, Laval University Medical Research Center, Québec, Canada; Department of Food Science and Nutrition, Laval University, Québec, Canada; Laval University-Robert Giffard Research Center, Beauport, Canada; The Quebec Heart Institute, Québec, Canada; Division of Biostatistics, Washington University School of Medicine, St. Louis, MO; Pennington Biomedical Research Center, Baton Rouge, LA; Division of Kinesiology, Department of Social and Preventive Medicine, Laval University, Québec, CanadaLipid Research Center, Laval University Medical Research Center, Québec, Canada; Department of Food Science and Nutrition, Laval University, Québec, Canada; Laval University-Robert Giffard Research Center, Beauport, Canada; The Quebec Heart Institute, Québec, Canada; Division of Biostatistics, Washington University School of Medicine, St. Louis, MO; Pennington Biomedical Research Center, Baton Rouge, LA; Division of Kinesiology, Department of Social and Preventive Medicine, Laval University, Québec, CanadaLipid Research Center, Laval University Medical Research Center, Québec, Canada; Department of Food Science and Nutrition, Laval University, Québec, Canada; Laval University-Robert Giffard Research Center, Beauport, Canada; The Quebec Heart Institute, Québec, Canada; Division of Biostatistics, Washington University School of Medicine, St. Louis, MO; Pennington Biomedical Research Center, Baton Rouge, LA; Division of Kinesiology, Department of Social and Preventive Medicine, Laval University, Québec, CanadaLipid Research Center, Laval University Medical Research Center, Québec, Canada; Department of Food Science and Nutrition, Laval University, Québec, Canada; Laval University-Robert Giffard Research Center, Beauport, Canada; The Quebec Heart Institute, Québec, Canada; Division of Biostatistics, Washington University School of Medicine, St. Louis, MO; Pennington Biomedical Research Center, Baton Rouge, LA; Division of Kinesiology, Department of Social and Preventive Medicine, Laval University, Québec, CanadaLipid Research Center, Laval University Medical Research Center, Québec, Canada; Department of Food Science and Nutrition, Laval University, Québec, Canada; Laval University-Robert Giffard Research Center, Beauport, Canada; The Quebec Heart Institute, Québec, Canada; Division of Biostatistics, Washington University School of Medicine, St. Louis, MO; Pennington Biomedical Research Center, Baton Rouge, LA; Division of Kinesiology, Department of Social and Preventive Medicine, Laval University, Québec, CanadaLipid Research Center, Laval University Medical Research Center, Québec, Canada; Department of Food Science and Nutrition, Laval University, Québec, Canada; Laval University-Robert Giffard Research Center, Beauport, Canada; The Quebec Heart Institute, Québec, Canada; Division of Biostatistics, Washington University School of Medicine, St. Louis, MO; Pennington Biomedical Research Center, Baton Rouge, LA; Division of Kinesiology, Department of Social and Preventive Medicine, Laval University, Québec, CanadaLipid Research Center, Laval University Medical Research Center, Québec, Canada; Department of Food Science and Nutrition, Laval University, Québec, Canada; Laval University-Robert Giffard Research Center, Beauport, Canada; The Quebec Heart Institute, Québec, Canada; Division of Biostatistics, Washington University School of Medicine, St. Louis, MO; Pennington Biomedical Research Center, Baton Rouge, LA; Division of Kinesiology, Department of Social and Preventive Medicine, Laval University, Québec, CanadaA genome-wide linkage study was performed to identify chromosomal regions harboring genes influencing lipid and lipoprotein levels. Linkage analyses were conducted for four quantitative lipoprotein/lipid traits, i.e., total cholesterol, triglyceride, HDL-cholesterol (HDL-C), and LDL-C concentrations, in 930 subjects enrolled in the Québec Family Study. A maximum of 534 pairs of siblings from 292 nuclear families were available. Linkage was tested using both allele-sharing and variance-component linkage methods. The strongest evidence of linkage was found on chromosome 12q14.1 at marker D12S334 for HDL-C, with a logarithm of the odds (LOD) score of 4.06. Chromosomal regions harboring quantitative trait loci (QTLs) for LDL-C included 1q43 (LOD = 2.50), 11q23.2 (LOD = 3.22), 15q26.1 (LOD = 3.11), and 19q13.32 (LOD = 3.59). In the case of triglycerides, three markers located on 2p14, 11p13, and 11q24.1 provided suggestive evidence of linkage (LOD > 1.75). Tests for total cholesterol levels yielded significant evidence of linkage at 15q26.1 and 18q22.3 with the allele-sharing linkage method, but the results were nonsignificant with the variance-component method.In conclusion, this genome scan provides evidence for several QTLs influencing lipid and lipoprotein levels. Promising candidate genes were located in the vicinity of the genomic regions showing evidence of linkage.http://www.sciencedirect.com/science/article/pii/S0022227520318691genome scangeneticsblood lipidsquantitative trait locustriglyceridecholesterol