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Adiposity Genetic Risk Score Modifies the Association Between Blood Lead Level and Body Mass Index
Author(s) -
Ningjian Wang,
Meng Lu,
Chi Chen,
Fangzhen Xia,
Bing Han,
Qin Li,
Jing Cheng,
Yi Chen,
Chunfang Zhu,
Michael D. Jensen,
Yingli Lu
Publication year - 2018
Publication title -
the journal of clinical endocrinology and metabolism
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.206
H-Index - 353
eISSN - 1945-7197
pISSN - 0021-972X
DOI - 10.1210/jc.2018-00472
Subject(s) - medicine , overweight , body mass index , quartile , logistic regression , obesity , odds ratio , demography , mendelian randomization , genotype , confidence interval , genetics , genetic variants , biology , sociology , gene
Context Previous epidemiological studies had inconsistent results regarding the relationship between blood lead level (BLL) and adiposity. Objective We aimed to investigate the associations of BLL with body mass index (BMI) particularly using Mendelian randomization analyses and examine the interaction between obesity-predisposing genes and BLL on the associations. Design and Setting A total of 3922 participants were enrolled from 16 sites in East China in 2014 from the Survey on Prevalence in East China for Metabolic Diseases and Risk Factors (ChiCTR-ECS-14005052, www.chictr.org.cn). We calculated the weighted BMI genetic risk score (GRS) based on 29 variants that were identified and validated in East Asians. BLL was measured by atomic absorption spectrometry. Main Outcome Measure BMI was calculated, and BMI ≥25 kg/m2 was defined as overweight. Results Multivariable logistic regression analysis demonstrated significant associations between BMI with each unit increase in lnBLL (β = 0.24; 95% CI, 0.08 to 0.40; P < 0.001) and each 1-point increase in BMI-GRS (β = 0.08; 95% CI, 0.05 to 0.11; P < 0.001). The causal regression coefficients of genetically determined BMI for lnBLL were −0.003 (95% CI, −0.075 to 0.070), which showed no significance. The GRS modified the association of BLL with BMI and overweight (BMI ≥25 kg/m2; P for interaction = 0.031 and 0.001, respectively). Each unit of lnBLL was associated with 63% higher odds of overweight (OR 1.63; 95% CI, 1.30 to 2.05) in the highest quartile of GRS, but no significant associations were found in the lower three quartiles. Conclusions The associations of BLL with BMI and overweight (BMI ≥25 kg/m2) were significantly modulated by BMI genetic susceptibility.

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