American Journal of Epidemiology Vol. 125, No. 4: 706-719
Copyright © 1987 by The Johns Hopkins University School of Hygiene and Public Health
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MULTIVARIATE ANALYSIS OF LIPOPROTEIN CHOLESTEROL FRACTIONS
1Division of Biostatistics, Department of Preventive Medicine, Washington University School of Medicine Box 8067, 660 S. Euclid Ave., St. Louis, MO 63110.
2Department of Psychiatry, Washington University School of Medicine St. Louis, MO
3Department of Genetics, Washington University School of Medicine St. Louis, MO
4Department of Internal Medicine, University of Cincinnati College of Medicine Cincinnati, OH
Reprint requests to Dr. George P. Vogler at this address
Intervention and prevention of multifactorial diseases such as coronary heart disease can be effective only when the joint effects of multiple risk factors are known. This process is facilitated by multivariate analysis of correlated risk factors, such as the serum cholesterol fractions, high density lipoprotein (HDL), low density lipoprotein (LDL), and very low density lipoprotein (VLDL). Whereas evidence for genetic covariation provides focus for further refined biochemical analysis, covariation among environmental factors can point to efficacious intervention strategies. To assess sources of variation and covariation among HDL, LDL, and VLDL, a multivariate path model was developed and applied to family data. Phenotypic variance is due primarily to specific environmental influences with substantial genetic influences, with the common family environment contributing less than 10% of the variance. There are genetic correlations of (–0.22 for HDL-VLDL and 0.35 for VLDL-LDL, consistent with the known inverse associations of HDL and VLDL and the precursor-product relationship between VLDL and LDL, whereas there is no evidence for a direct HDL-LDL genetic relationship. Strong specific environmental correlations are found between HDL and VLDL (–0.35 in children and (–0.50 in adults). Thus, intervention focused primarily on one fraction (e.g., triglycerides and VLDL) might beneficially affect levels of both lipoproteins (e.g., lowering VLDL cholesterol and elevating HDL cholesterol). Multivariate analysis can facilitate understanding of the linked effects of intervention on lipoprotein cholesterols, and, hence, should benefit approaches to maximize the effects of lipoprotein cholesterol intervention on coronary heart disease morbidity and mortality.
genetics; lipoproteins; models; genetic; statistics
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