Causal relationship between particulate matter 2.5 and hypothyroidism: A two-sample Mendelian randomization study

BackgroundEpidemiological surveys have found that particulate matter 2.5 (PM2.5) plays an important role in hypothyroidism. However, due to the methodological limitations of traditional observational studies, it is difficult to make causal inferences. In the present study, we assessed the causal association between PM2.5 concentrations and risk of hypothyroidism using two-sample Mendelian randomization (TSMR).MethodsWe performed TSMR by using aggregated data from genome-wide association studies (GWAS) on the IEU Open GWAS database. We identified seven single nucleotide polymorphisms (SNPs) associated with PM2.5 concentrations as instrumental variables (IVs). We used inverse-variance weighting (IVW) as the main analytical method, and we selected MR-Egger, weighted median, simple model, and weighted model methods for quality control.ResultsMR analysis showed that PM2.5 has a positive effect on the risk of hypothyroidism: An increase of 1 standard deviation (SD) in PM2.5 concentrations increases the risk of hypothyroidism by ~10.0% (odds ratio 1.10, 95% confidence interval 1.06–1.13, P = 2.93E-08, by IVW analysis); there was no heterogeneity or pleiotropy in the results.ConclusionIn conclusion, increased PM2.5 concentrations are associated with an increased risk of hypothyroidism. This study provides evidence of a causal relationship between PM2.5 and the risk of hypothyroidism, so air pollution control may have important implications for the prevention of hypothyroidism.

Abstract licence: CC BY

1. 4.

   Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data · 2013

2. 13.

   UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age · 2015

3. 16.

   Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression · 2015

4. 17.

   A framework for the investigation of pleiotropy in two‐sample summary data Mendelian randomization · 2017

5. 23.

   The MR-Base platform supports systematic causal inference across the human phenome · 2018

6. 25.

   The UK Biobank resource with deep phenotyping and genomic data · 2018

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