Mendelian Randomization Study Investigating the Causal Relationship Between Thyroid Dysfunction and Cerebral Infarction
Year: 2024
Type: article
Study design: Observational Study
Abstract: BACKGROUND: There is an association between thyroid dysfunction and cerebral infarction (CI), but the causality cannot be determined. A two-sample two-way Mendelian randomization (MR) study was conducted to assess the causal relationship between thyroid function and CI. METHODS: We selected single-nucleotide polymorphisms (SNPs) associated with five phenotypes, including CI from the UK Biobank (n = 361,194), hyperthyroidism from the IEU Open GWAS database (n = 484,598), hypothyroidism from the IEU Open GWAS database (n = 473,703), normal thyroid-stimulating hormone (TSH) (n = 271,040), and normal free thyroxine (FT4) (n = 119,120) from the Thyroidomics Consortium database. For the forward MR analysis, the exposures were hyperthyroidism, hypothyroidism, TSH, and FT4. The inverse variance weighted (IVW) method, weighted median (WM), and MR-Egger revealed the causality with CI. For the reverse MR analysis, CI was regarded as the exposure, and four thyroid function phenotypes were the outcomes. The sensitivity and heterogeneity test was assessed using Cochran's Q test, MR-Egger regression, and leave-one-out analysis. RESULTS: The MR analysis indicated that genetic susceptibility to hyperthyroidism increased the risk of CI (IVW-OR = 1.070; 95% CI: 1.015-1.128; p = 0.003). In reverse MR, genetic susceptibility to RA is not associated with hyperthyroidism (IVW-OR = 1.001; 95% CI: 1.000-1.001; p = 0.144). Any positive or reverse causal relationship between hypothyroidism, FT4, and TSH with CI could not be established. Sensitivity and heterogeneity test consolidated our findings. CONCLUSION: The causality between CI and hyperthyroidism demonstrated patients with hyperthyroidism have a risk of genetic variants for CI. In the future, further studies are needed to fully explore their mechanisms of action.
Source: Brain and Behavior
DOI: 10.1002/brb3.70188
Authors: Letai Li, Jiajie Leng, Haibing Xiong, Haibing Xiong, Zishan Deng, Meng Ye, Haiyan Wang, Xin Guo, Shi Zeng, Haofeng Xiong, Haofeng Xiong, Jianhong Huo
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,460
Award: G283014681
OpenAlex ID: W4405337141
