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Correlates and the Heritability Estimates of Metabolic Syndrome among African American: The Jackson Heart Study
Author(s) -
Khan Rumana,
Gebreab Samson,
Crespo Pia,
Xu Ruihua,
Sims Mario,
Davis Sharon
Publication year - 2015
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.29.1_supplement.lb377
Subject(s) - heritability , metabolic syndrome , medicine , adiponectin , body mass index , demography , waist , blood pressure , homocysteine , logistic regression , obesity , endocrinology , insulin resistance , biology , genetics , sociology
The study aimed to investigate the correlates of metabolic syndrome (MetS) and estimate the heritability of MetS and its components in African Americans (AA). We analyzed the data of 1909 men and 3318 women from the Jackson Heart Study (JHS). Participants were classified as having the MetS according to the Adult Treatment Panel III criteria. We used logistic regression analyses to isolate significantly associated covariates. Heritability was calculated from the family study subset of JHS (1636 individuals, 281 families) using variance component methods. About 27% of men and about 40% of women participants had MetS. For men, factors associated with having MetS were older age, lower physical activity level, higher body mass index, higher homocysteine and lower adiponectin levels (p<0.05 for all). For women on the other hand, in addition to all these factors, low level of education, current smoking, alcohol drinking and higher stress also showed significant association (p<0.05 for all). After adjusting for covariates, the heritability for the MetS was 32% (p<0.0001). Among its individual components, treated as continuous traits, heritability ranged from 14% (p<0.01) for fasting glucose to 45% (p<0.0001) for waist circumference. Estimated heritability for other components like systolic and diastolic blood pressure, hypertriglyceridemia and HDL‐ cholesterol was 16%, 15%, 42% and 43% respectively. Our data suggests the inclusion of biomarkers like adiponectin and homocysteine to improve early prediction of MetS. The results also encourage efforts to identify the underlying susceptibility genes for this syndrome in AA.