Adiposity Genetic Risk Score Modifies the Association Between Blood Lead Level and Body Mass Index

Ningjian Wang, Meng Lu, Chi Chen, Fangzhen Xia, Bing Han, Qin Li, Jing Cheng, Yi Chen, Chunfang Zhu, Michael Dennis Jensen, Yingli Lu

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish (US)
Pages (from-to)4005-4013
Number of pages9
JournalThe Journal of clinical endocrinology and metabolism
Volume103
Issue number11
DOIs
StatePublished - Nov 1 2018

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Adiposity
Body Mass Index
Blood
Atomic absorption spectrometry
Regression analysis
Mendelian Randomization Analysis
Lead
Logistics
China
Genes
Metabolic Diseases
Genetic Predisposition to Disease
Epidemiologic Studies
Spectrum Analysis
Obesity
Logistic Models
Regression Analysis
Outcome Assessment (Health Care)

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Biochemistry
  • Endocrinology
  • Clinical Biochemistry
  • Biochemistry, medical

Cite this

Adiposity Genetic Risk Score Modifies the Association Between Blood Lead Level and Body Mass Index. / Wang, Ningjian; Lu, Meng; Chen, Chi; Xia, Fangzhen; Han, Bing; Li, Qin; Cheng, Jing; Chen, Yi; Zhu, Chunfang; Jensen, Michael Dennis; Lu, Yingli.

In: The Journal of clinical endocrinology and metabolism, Vol. 103, No. 11, 01.11.2018, p. 4005-4013.

Research output: Contribution to journalArticle

Wang, Ningjian ; Lu, Meng ; Chen, Chi ; Xia, Fangzhen ; Han, Bing ; Li, Qin ; Cheng, Jing ; Chen, Yi ; Zhu, Chunfang ; Jensen, Michael Dennis ; Lu, Yingli. / Adiposity Genetic Risk Score Modifies the Association Between Blood Lead Level and Body Mass Index. In: The Journal of clinical endocrinology and metabolism. 2018 ; Vol. 103, No. 11. pp. 4005-4013.
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abstract = "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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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 Dennis

AU - Lu, Yingli

PY - 2018/11/1

Y1 - 2018/11/1

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/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.

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/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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