Structural equation model-based genome scan for the metabolic syndrome.
Ontology highlight
ABSTRACT: Background
The metabolic syndrome is characterized by the clustering of several traits, including obesity, hypertension, decreased levels of HDL cholesterol, and increased levels of glucose and triglycerides. Because these traits cluster, there are likely common genetic factors involved.Results
We used a multivariate structural equation model (SEM) approach to scan the genome for loci involved in the metabolic syndrome. We found moderate evidence for linkage on chromosomes 2, 3, 11, 13, and 15, and these loci appear to have different relative effects on the component traits of the metabolic syndrome.Conclusion
Our results suggest that the metabolic syndrome components, diabetes, obesity, and hypertension, are under the pleiotropic control of several loci.
SUBMITTER: Stein CM
PROVIDER: S-EPMC1866540 | biostudies-literature | 2003 Dec
REPOSITORIES: biostudies-literature
Publications
Structural equation model-based genome scan for the metabolic syndrome.
Stein Catherine M CM Song Yeunjoo Y Elston Robert C RC Jun Gyungah G Tiwari Hemant K HK Iyengar Sudha K SK
BMC genetics 20031231
<h4>Background</h4>The metabolic syndrome is characterized by the clustering of several traits, including obesity, hypertension, decreased levels of HDL cholesterol, and increased levels of glucose and triglycerides. Because these traits cluster, there are likely common genetic factors involved.<h4>Results</h4>We used a multivariate structural equation model (SEM) approach to scan the genome for loci involved in the metabolic syndrome. We found moderate evidence for linkage on chromosomes 2, 3, ...[more]
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