Causal Associations of PM2.5 and GDM: A Two-Sample Mendelian Randomization Study

Yi Yang; Xianli Ma; Weiyi Pang; Caina Jiang

doi:10.3390/toxics11020171

Causal Associations of PM2.5 and GDM: A Two-Sample Mendelian Randomization Study

Toxics. 2023 Feb 13;11(2):171. doi: 10.3390/toxics11020171.

Authors

Yi Yang^{1

2}, Xianli Ma^{1

2}, Weiyi Pang³, Caina Jiang^{1

2}

Affiliations

¹ Guangxi Engineering Research Center for Pharmaceutical Molecular Screening and Druggability Evaluation, Guilin Medical University, Guilin 541199, China.
² School of Pharmacy, Guilin Medical University, Guilin 541199, China.
³ Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, Guilin Medical University, Guilin 541199, China.

Abstract

Epidemiological studies have linked particulate matter (PM2.5) to gestational diabetes mellitus (GDM). However, the causality of this association has not been established; Mendelian randomization was carried out using summary data from genome-wide association studies (GWAS). For the analysis of the causal relationship between PM2.5 and GDM, the inverse variance weighted (IVW) method was used. The exposure data came from a GWAS dataset of IEU analysis of the United Kingdom Biobank phenotypes consisting of 423,796 European participants. The FinnGen consortium provided the GDM data, which included 6033 cases and 123,000 controls. We also performed multivariate MR (MVMR), adjusting for body mass index (BMI) and smoking. As a result, we found that each standard deviation increase in PM2.5 is associated with a 73.6% increase in the risk of GDM (OR: 1.736; 95%CI: 1.226-2.457). Multivariable MR analysis showed that the effect of PM2.5 on GDM remained after accounting for BMI and smoking. Our results demonstrate a causal relationship between PM2.5 and GDM.

Keywords: MR; air pollution; causality; gestational diabetes mellitus; risk factor.

Abstract

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