医学
肥胖
内科学
儿童肥胖
代谢综合征
内分泌学
表型
等位基因
百分位
人口学
超重
遗传学
生物
基因
社会学
统计
数学
作者
Ge Li,Yu Li,Lanwen Han,Dongmei Wang,Qian Zhang,Xinhua Xiao,Lu Qi,Steven M. Willi,Ming Li,Jie Mi,Shan Gao
出处
期刊:European journal of endocrinology
[Bioscientifica]
日期:2020-01-30
卷期号:182 (4): 393-403
被引量:14
摘要
Objective A subset of normal-weight individuals appears predisposed to obesity-related cardiometabolic abnormalities. Studies of this metabolically obese, normal weight (MONW) phenotype in youth are scarce. We aimed to identify early environmental and genetic factors associated with MONW in children. Methods Overall, 1475 normal-weight Chinese children aged 6–18 were recruited from the Beijing Children and Adolescents Metabolic Syndrome study cohort. Birthweight, childhood lifestyle, socio-economic factors, and 20 genetic variants previously shown to be associated with BMI or glucose metabolism in East Asian adults were examined for their association with the MONW phenotype. MONW was defined by exhibiting any metabolic syndrome component. Results After adjusting for covariates including BMI, low birthweight and low levels of physical activity, fruit consumption, parental education and household income, as well as CDKAL1 rs2206734 genotype were independent predictors of the MONW phenotype (all P < 0.05). Moreover, rs2206734 interacted with birthweight to predict the MONW phenotype ( P interaction = 0.0008). Among high (>75th percentile) birthweight individuals, each C allele at this locus was associated with a 62% reduced risk of MONW (OR = 0.38; 95% CI = 0.26-0.58; P = 5.71 × 10 −6 ), while no such genetic associations were found in intermediate or low birthweight individuals ( P > 0.1). This CDKAL1- MONW relationship in high birthweight individuals was especially strong in the presence of favorable childhood environmental factors (high levels of physical activity, fruit consumption, parental education and household income) ( P interaction = 0.013). Conclusions Our findings provided the novel evidence that early environment (especially birthweight) and genetics, along with their interaction with one another, play important roles in predicting the MONW phenotype among children.
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