Abstract
Sibling correlations for coronary heart disease risk factors were analyzed in 731 pairs of siblings whose parents experienced a first myocardial infarction. Sibling correlations for lipids, lipoproteins and apolipoproteins ranged from 0.29 to 0.48, with limited changes on adjustment for sex, age, education and body mass index. For most lipid variables brother-brother correlation coefficients were highest and sister-brother correlation coefficients were lowest. Sib-sib correlation coefficients for lipids, lipoproteins, blood pressure and body mass index were similar to those estimated from a random sample of Jewish families. The sibling correlations were relatively low for waist to hip ratio, triceps and suprailiac skinfolds, moderate for subscapular skinfolds and body circumference measurements and high for number of cigarettes smoked by the siblings. The sibling correlations for lipid variables showed a moderate dependency on the apolipoprotein B XbaI genotypes. Siblings living in the same household tended to have higher correlation coefficients for HDL-C, apolipoprotein B and apolipoprotein AI than those living apart. The correlation coefficients for number of cigarettes and anthropometric variables tended to be heterogeneous due to the higher correlations among siblings living apart. A clear trend of decline in sib-sib correlations for apolipoprotein AI, glucose, cigarette smoking, body mass index and circumference measurements with increased spacing between sibling's ages was indicated. This temporal trend in sibling correlations for coronary heart disease risk factors suggests that genetic and/or environmental factors may have different influences at different ages.
| Original language | English |
|---|---|
| Pages (from-to) | 259-271 |
| Number of pages | 13 |
| Journal | Atherosclerosis |
| Volume | 113 |
| Issue number | 2 |
| DOIs | |
| State | Published - Mar 1995 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Blood pressure
- Cigarette smoking
- Coronary heart disease
- Familial aggregation
- Family history
- Lipids
- Obesity
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