LAUSR

Objective: To more precisely and comprehensively estimate the genetic and environmental correlations between various indices of obesity and BP. Methods: We estimated heritability and genetic correlations of obesity indices with BP in the Oman family study (n = 1231). Ambulatory and office beat-to-beat BP was measured and mean values for SBP and DBP during daytime, sleep, 24-h and 10 min at rest were calculated. Different indices were used to quantify obesity and fat distribution: BMI, percentage of body fat (%BF), waist circumference and waist-to-height ratio (WHtR). SOLAR software was used to perform univariate and bivariate quantitative genetic analyses adjusting for age, age2, sex, age-sex and age2-sex interactions. Results: Heritabilities of BP ranged from 30.2 to 38.2% for ambulatory daytime, 16.8–21.4% for sleeping time, 32.1–40.4% for 24-h and 22–24.4% for office beat-to-beat measurements. Heritabilities for obesity indices were 67.8% for BMI, 52.2% for %BF, 37.3% for waist circumference and 37.9% for WHtR. All obesity measures had consistently positive phenotypic correlations with ambulatory and office beat-to-beat SBP and DBP (r-range: 0.14–0.32). Genetic correlations of obesity indices with SBP and DBP were higher than environmental correlations (rG: 0.16–0.50; rE: 0.01–0.31). Conclusion: The considerable genetic overlap between a variety of obesity indices and both ambulatory and office beat-to-beat BP highlights the relevance of pleiotropic genes. Future GWAS analyses should discover the specific genes both influencing obesity indices and BP to help unravel their shared genetic background.