Published online before print June 3, 2002, doi: 10.1161/01.HYP.0000022693.11752.E9
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(Hypertension. 2002;40:7.)
© 2002 American Heart Association, Inc.
Scientific Contributions |
Genes and Family Environment Explain Correlations Between Blood Pressure and Body Mass Index
From the Centre for Genetic Epidemiology (J.C., J.L.H.) and Department of Physiology (S.B.H.), The University of Melbourne, Parkville, Australia.
Correspondence to Prof Stephen B. Harrap, Department of Physiology, The University of Melbourne, Grattan Street, Parkville, Victoria 3010, Australia. E-mail s.harrap{at}unimelb.edu.au
The correlations between systolic blood pressure (SBP) and diastolic blood pressure (DBP), and between SBP and body mass index (BMI), might result from genetic or environmental factors that determine variation in 2 or more phenotypes and are shared by family members. In 767 adult nuclear families (n=2912 individuals, including 66 pairs of monozygotic twins and 84 pairs of dizygotic twins), we used a multivariate normal model and the software FISHER to estimate genetic and environmental components of variation and covariation. Mean phenotypes were adjusted for age, gender, and generation, and for antihypertensive treatment. Genetic and shared family environmental factors accounted for 46% and 31% of total variance in SBP, respectively. Adjustment of SBP for DBP reduced considerably both the additive genetic (86.7 to 21.0) and shared environmental (59.7 to 21.0) components of variance. Smaller reductions in genetic (86.7 to 84.9) and shared environmental (59.7 to 51.1) components were observed after adjustment of SBP for BMI. For SBP and DBP, the correlation between the effects of genes was 1.00 and between shared environmental effects was 0.52. For SBP and BMI the correlations were 0.30 for genetic and 0.22 for shared environmental effects. Our findings suggest that the same genes and many of the same family environmental factors determine variation in both SBP and DBP. In contrast, SBP and BMI share genetic and family environmental determinants to a lesser degree. These observations are relevant to multifactorial cardiovascular risk reduction based on genetic and family environmental approaches.
Key Words: systole • diastole • body mass index • genetics • risk factors • twins
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