publication . Article . 2003

Phenotypic, genetic, and genome-wide structure in the metabolic syndrome

Lisa Martin; North, K. E.; Dyer, T.; Blangero, J.; Comuzzie, A. G.; Williams, J.;
Open Access English
  • Published: 01 Dec 2003 Journal: BMC Genetics, volume 4, issue Suppl 1, page S95 (issn: 1471-2156, Copyright policy)
  • Publisher: Springer Nature
Abstract
<p>Abstract</p> <p>Background</p> <p>Insulin resistance, obesity, dyslipidemia, and high blood pressure characterize the metabolic syndrome. In an effort to explore the utility of different multivariate methods of data reduction to better understand the genetic influences on the aggregation of metabolic syndrome phenotypes, we calculated phenotypic, genetic, and genome-wide LOD score correlation matrices using five traits (total cholesterol, high density lipoprotein cholesterol, triglycerides, systolic blood pressure, and body mass index) from the Framingham Heart Study data set prepared for the Genetic Analysis Workshop 13, clinic visits 10 and 1 for the origin...
Subjects
free text keywords: Genetics(clinical), Genetics, Proceedings, QH426-470
Funded by
NIH| CORE--FIELD AND CLINIC OPERATIONS
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5P01HL045522-10
  • Funding stream: NATIONAL HEART, LUNG, AND BLOOD INSTITUTE
,
NIH| QUANTITATIVE TRAIT LOCUS MAPPING IN HUMAN PEDIGREES
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5R01MH059490-02
  • Funding stream: NATIONAL INSTITUTE OF MENTAL HEALTH
,
NIH| LIPID BIOCHEMISTRY--CORE
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5P01HL028972-04
  • Funding stream: NATIONAL HEART, LUNG, AND BLOOD INSTITUTE
,
NIH| Genetic Analysis of Common Diseases: An Evaluation
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5R01GM031575-22
  • Funding stream: NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES

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