Title |
Fine mapping of a linkage peak with integration of lipid traits identifies novel coronary artery disease genes on chromosome 5
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Published in |
BMC Genomic Data, February 2012
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DOI | 10.1186/1471-2156-13-12 |
Pubmed ID | |
Authors |
Daniel K Nolan, Beth Sutton, Carol Haynes, Jessica Johnson, Jacqueline Sebek, Elaine Dowdy, David Crosslin, David Crossman, Michael H Sketch, Christopher B Granger, David Seo, Pascal Goldschmidt-Clermont, William E Kraus, Simon G Gregory, Elizabeth R Hauser, Svati H Shah |
Abstract |
Coronary artery disease (CAD), and one of its intermediate risk factors, dyslipidemia, possess a demonstrable genetic component, although the genetic architecture is incompletely defined. We previously reported a linkage peak on chromosome 5q31-33 for early-onset CAD where the strength of evidence for linkage was increased in families with higher mean low density lipoprotein-cholesterol (LDL-C). Therefore, we sought to fine-map the peak using association mapping of LDL-C as an intermediate disease-related trait to further define the etiology of this linkage peak. The study populations consisted of 1908 individuals from the CATHGEN biorepository of patients undergoing cardiac catheterization; 254 families (N = 827 individuals) from the GENECARD familial study of early-onset CAD; and 162 aorta samples harvested from deceased donors. Linkage disequilibrium-tagged SNPs were selected with an average of one SNP per 20 kb for 126.6-160.2 MB (region of highest linkage) and less dense spacing (one SNP per 50 kb) for the flanking regions (117.7-126.6 and 160.2-167.5 MB) and genotyped on all samples using a custom Illumina array. Association analysis of each SNP with LDL-C was performed using multivariable linear regression (CATHGEN) and the quantitative trait transmission disequilibrium test (QTDT; GENECARD). SNPs associated with the intermediate quantitative trait, LDL-C, were then assessed for association with CAD (i.e., a qualitative phenotype) using linkage and association in the presence of linkage (APL; GENECARD) and logistic regression (CATHGEN and aortas). |
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