Heritability of factors of the insulin resistance syndrome in women twins
- 1 January 1997
- journal article
- research article
- Published by Wiley in Genetic Epidemiology
- Vol. 14 (3) , 241-253
- https://doi.org/10.1002/(sici)1098-2272(1997)14:3<241::aid-gepi3>3.0.co;2-8
Abstract
The insulin resistance syndrome (IRS) is characterized by a combination of interrelated coronary heart disease (CHD) risk factors, including low high‐density lipoprotein cholesterol (HDL‐C) levels, obesity and increases in triglyceride (TG), blood pressure, small low‐density lipoprotein particles (LDL), and both fasting and postload plasma insulin and glucose. Using factor analysis, we previously identified 3 uncorrelated factors that explained 66% of the variance among these variables, based on data from women participating in examination 2 of the Kaiser Permanente Women Twins Study in Oakland. CA during 1989–1990. The factors were interpreted as: 1) body mass/fat distribution, 2) insulin/glucose, and 3) lipids: TG, HDL‐C, LDL peak particle diameter. In this analysis, heritability of each of the factors was estimated based on data from 140 monozygotic and 96 dizygotic pairs of non‐diabetic women twins. Heritability estimates were calculated using the classical approach, the analysis of variance (ANOVA) approach, and the maximum likelihood approach. For the body mass/fat distribution factor heritability estimates suggest moderate genetic influences: 0.61 (P < 0.001), 0.14 (P > 0.05), and 0.71 (P < 0.001), respectively. The insulin/glucose factor appeared to be highly heritable, with estimates of 0.87,0.92, and 0.57 (all P < 0.001), respectively. The heritability estimates for the lipid factor were moderate and consistent across methods: 0.25 (P < 0.10), 0.32 (P < 0.05), and 0.30 (P < 0.05), respectively. These results are consistent with genetic influences on each of the 3 “factors,” and suggest that both genetic and environmental effects are involved in the clustering of IRS risk factors. Genet. Epidemiol. 14:241–253,1997.Keywords
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