Genetic and phenotypic architecture of metabolic syndrome-associated components in dyslipidemic and normolipidemic subjects: the GEMS Study.

Details

Serval ID
serval:BIB_519F1801CAD9
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Genetic and phenotypic architecture of metabolic syndrome-associated components in dyslipidemic and normolipidemic subjects: the GEMS Study.
Journal
Atherosclerosis
Author(s)
Stirnadel H., Lin X., Ling H., Song K., Barter P., Kesäniemi Y.A., Mahley R., McPherson R., Waeber G., Bersot T., Cohen J., Grundy S., Mitchell B., Mooser V., Waterworth D.
ISSN
1879-1484[electronic]
Publication state
Published
Issued date
2008
Volume
197
Number
2
Pages
868-76
Language
english
Notes
Publication types: Journal Article ; Multicenter Study - Publication Status: ppublish
Abstract
Atherogenic dyslipidemia, manifest by low HDL-cholesterol and high TG levels, is an important component of ATP-III defined metabolic syndrome. Here, we dissected the phenotypic and genetic architecture of these traits by assessing their relationships with other metabolically relevant measures, including plasma adipo-cytokines, highly sensitive C-reactive protein (hsCRP) and LDL particle size, in a large family data set (n=2800) and in an independent set of dyslipidemic cases (n=716) and normolipidemic controls (n=1073). We explored the relationships among these phenotypes using variable clustering and then estimated their genetic heritabilities and cross-trait correlations. In families, four clusters explained 61% of the total variance, with one adiposity-related cluster (including hsCRP), one BP-related cluster, and two lipid-related clusters (HDL-C, TG, adiponectin and LDL particle size; apoB and non-HDL-C). A similar structure was observed in dyslipidemic cases and normolipidemic controls. The genetic correlations in the families largely paralleled the phenotype clustering results, suggesting that common genes having pleiotropic effects contributed to the correlations observed. In summary, our analyses support a model of metabolic syndrome with two major components, body fat and lipids, each with two subcomponents, and quantifies their degree of overlap with each other and with metabolic-syndrome related measures (adipokines, LDL particle size and hsCRP).
Keywords
Adipose Tissue, Adolescent, Adult, Aged, Case-Control Studies, Cluster Analysis, Genetic Predisposition to Disease, Humans, Hyperlipidemias, Metabolic Syndrome X, Middle Aged, Phenotype, Quantitative Trait, Heritable
Pubmed
Web of science
Create date
25/01/2008 14:10
Last modification date
20/08/2019 14:07
Usage data