publication . Article . 2009

Genome-wide association analysis of cardiovascular-related quantitative traits in the Framingham Heart Study

Roslin, Nicole M.; Hamid, Jemila S.; Andrew Paterson; Beyene, Joseph;
Open Access
  • Published: 01 Dec 2009 Journal: BMC Proceedings, volume 3, page S117 (issn: 1753-6561, Copyright policy)
  • Publisher: Springer Nature
<p>Abstract</p> <p>Multivariate linear growth curves were used to model high-density lipoprotein (HDL), low-density lipoprotein (LDL), triglycerides (TG), and systolic blood pressure (SBP) measured during four exams from 1659 independent individuals from the Framingham Heart Study. The slopes and intercepts from each of two phenotype models were tested for association with 348,053 autosomal single-nucleotide polymorphisms from the Affymetrix Gene Chip 500 k set. Three regions were associated with LDL intercept, TG slope, and SBP intercept (<it>p </it>< 1.44 × 10<sup>-7</sup>). We observed results consistent with previously reported associations between rs599839,...
free text keywords: General Biochemistry, Genetics and Molecular Biology, General Medicine, Genetics, Genetic association, Internal medicine, medicine.medical_specialty, medicine, Single-nucleotide polymorphism, business.industry, business, Multivariate statistics, Blood pressure, Endocrinology, Polymorphism (computer science), Lipoprotein, Framingham Heart Study, Quantitative trait locus, R, Science, Q, Proceedings
Related Organizations
Funded by
  • Funder: Natural Sciences and Engineering Research Council of Canada (NSERC)
  • Funder: Canadian Institutes of Health Research (CIHR)
NIH| Genetic Analysis of Common Diseases: An Evaluation
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5R01GM031575-22
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