TY - JOUR
T1 - Adiposity genetic risk score modifies the association between blood lead level and body mass index
AU - Wang, Ningjian
AU - Lu, Meng
AU - Chen, Chi
AU - Xia, Fangzhen
AU - Han, Bing
AU - Li, Qin
AU - Cheng, Jing
AU - Chen, Yi
AU - Zhu, Chunfang
AU - Jensen, Michael D.
AU - Lu, Yingli
N1 - Funding Information:
The authors thank Xiaojin Wang and Bingshun Wang from the Department of Biostatistics and Shanghai Jiaotong University School of Medicine for data processing. The authors thank Weiping Tu, Bin Li, and Ling Hu for helping to organize this investigation. The authors thank all team members and participants in the SPECT-China study. Financial Support: This study was supported by the National Natural Science Foundation of China (grants 81570726 to Y.L., 81600609 to N.W.); the Shanghai JiaoTong University School of Medicine (2014); the Science and Technology Commission of Shanghai Municipality (16411971200 to Y.L., 16410723200 to N.W.); the Commission of Health and Family Planning of Pudong District (PW2015D-5 to Y.L.); the Fourth Round of Three-Year Public Health Action Plan of Shanghai by the Shanghai Municipal Commission of Health and Family Planning (15GWZK0202 to Y.L., 20164Y0079 to N.W.); the Municipal Human Resources Development Program for Outstanding Young Talents in Medical and Health Sciences in Shanghai (2017YQ053 to Y.L.); and the Clinical Research Plan of SHDC (16CR3076B). The funders played no role in the design or conduct of the study, collection, management, analysis, or interpretation of data or in the preparation, review, or approval of the article.
Funding Information:
Financial Support: This study was supported by the National Natural Science Foundation of China (grants 81570726 to Y.L., 81600609 to N.W.); the Shanghai JiaoTong University School of Medicine (2014); the Science and Technology Commission of Shanghai Municipality (16411971200 to Y.L., 16410723200 to N.W.); the Commission of Health and Family Planning of Pudong District (PW2015D-5 to Y.L.); the Fourth Round of Three-Year Public Health Action Plan of Shanghai by the Shanghai Municipal Commission of Health and Family Planning (15GWZK0202 to Y.L., 20164Y0079 to N.W.); the Municipal Human Resources Development Program for Outstanding Young Talents in Medical and Health Sciences in Shanghai (2017YQ053 to Y.L.); and the Clinical Research Plan of SHDC (16CR3076B). The funders played no role in the design or conduct of the study, collection, management, analysis, or interpretation of data or in the preparation, review, or approval of the article.
Publisher Copyright:
Copyright © 2018 Endocrine Society.
PY - 2018
Y1 - 2018
N2 - 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/m 2 was defined as overweight. Results: Multivariable logistic regression analysis demonstrated significant associations between BMI with each unit increase in lnBLL (b = 0.24; 95% CI, 0.08 to 0.40; P, 0.001) and each 1-point increase in BMI-GRS (b = 0.08; 95% CI, 0.05 to 0.11; P, 0.001). The causal regression coefficients of genetically determined BMI for lnBLL were 20.003 (95% CI, 20.075 to 0.070), which showed no significance. The GRS modified the association of BLL with BMI and overweight (BMI $25 kg/m 2 ; 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/m 2 ) were significantly modulated by BMI genetic susceptibility.
AB - 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/m 2 was defined as overweight. Results: Multivariable logistic regression analysis demonstrated significant associations between BMI with each unit increase in lnBLL (b = 0.24; 95% CI, 0.08 to 0.40; P, 0.001) and each 1-point increase in BMI-GRS (b = 0.08; 95% CI, 0.05 to 0.11; P, 0.001). The causal regression coefficients of genetically determined BMI for lnBLL were 20.003 (95% CI, 20.075 to 0.070), which showed no significance. The GRS modified the association of BLL with BMI and overweight (BMI $25 kg/m 2 ; 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/m 2 ) were significantly modulated by BMI genetic susceptibility.
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U2 - 10.1210/jc.2018-00472
DO - 10.1210/jc.2018-00472
M3 - Article
C2 - 30202913
AN - SCOPUS:85055185412
SN - 0021-972X
VL - 103
SP - 4005
EP - 4013
JO - Journal of Clinical Endocrinology and Metabolism
JF - Journal of Clinical Endocrinology and Metabolism
IS - 11
ER -