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From the Department of Epidemiology (J.C., T.H.B., J.X.), The Johns Hopkins School of Hygiene and Public Health, and the Departments of Medicine (J.C.) and Pediatrics (P.O.K.), The Johns Hopkins School of Medicine, and the Division of Human Genetics (V.L.P.), University of Maryland, Baltimore, Md.
Correspondence to Josef Coresh, MD, PhD, Welch Center for Prevention, Epidemiology and Clinical Research, 2024 E Monument, Baltimore, MD 21205-2223. E-mail coresh@welchlink.welch.jhu.edu.
Abstract HDL cholesterol (HDL-C) level is a risk
factor for coronary heart disease. Studies have shown a strong
genetic influence on HDL-C levels in addition to environmental
influences, but no definite major gene control has been demonstrated.
Since HDL subfractions may better reflect the actions of distinct
metabolic alterations than total HDL, we tested the
hypothesis that the amount of cholesterol in the denser
HDL3 subfraction (HDL3-C) is under the control
of a major gene. The study population included 676 family members of
116 probands who underwent coronary arteriography at an early
age (men
50 and women
60 years). HDL3-C level was
measured by using enzymatic methods after preparative
ultracentrifugation at a density of 1.125 g/mL.
HDL3-C was adjusted for age, gender, alcohol consumption,
and smoking, which combined accounted for 3% of its variance.
Segregation analysis was conducted on adjusted
HDL3-C by using regressive models. The familial
correlations for HDL3-C levels were spouse .03±.08,
parent-offspring .14±.05, and sibling .24±.05. The data strongly
supported a codominant mendelian model, with the common allele
coding for lower HDL3-C levels and the rarer allele
(frequency, 25%) coding for higher HDL3-C levels. This
major gene explained 34% of the variation in HDL3-C levels
and 9% of the variation in total HDL-C levels. These results suggest
that HDL3-C levels exhibit clearer genetic control than
total HDL-C and may therefore be a useful target for further genetic
studies.
Key Words: HDL3 HDL segregation analysis major gene population genetics
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