Title of article :
Genetic and phenotypic architecture of metabolic syndrome-associated components in dyslipidemic and normolipidemic subjects: The GEMS Study
Author/Authors :
Heide Stirnadel، نويسنده , , Xiwu Lin، نويسنده , , Hua Ling، نويسنده , , Kijoung Song، نويسنده , , Philip Barter، نويسنده , , Y. Antero Kesaniemi، نويسنده , , Robert Mahley، نويسنده , , Ruth McPherson، نويسنده , , Gérard Waeber، نويسنده , , Thomas Bersot، نويسنده , , Jonathan Cohen، نويسنده , , Scott Grundy، نويسنده , , Braxton Mitchell، نويسنده , , Vincent Mooser، نويسنده , , Dawn Waterworth، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2008
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 :
Cardiovascular diseases , diabetes mellitus , Type 2 , lipoproteins , Metabolic syndrome X , hyperlipidemia
Journal title :
Atherosclerosis
Journal title :
Atherosclerosis