This study explores PANoptosis as a therapeutic target for myocardial infarction using Mendelian randomization and multi-omics data analysis.

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Mendelian randomization analyses are often performed using summarized data. The causal estimate from a one-sample analysis (in which data are taken from a single data source) with weak instrumental v...

Aging | doi:10.18632/aging.206293. Federica Grosso, Daniela Zanetti, Serena Sanna

Abstract. Mendelian randomization (MR) is increasingly used in epidemiological studies to investigate causal relationships. MR depends on 3 fundamental ins

Background: Graves' disease (GD) is an autoimmune thyroid disorder characterized by hyperthyroidism and autoantibodies. The #covid19 pandemic has raised questions about its potential relationship with autoimmune diseases like GD. Objective: This study aims to investigate the causal association between #covid19 and GD through Mendelian Randomization (MR) analysis and assess the impact of #covid19 on GD. Methods: We conducted an MR study using extensive genome-wide association studies data for GD and #covid19 susceptibility and its severity. We employed stringent SNP selection criteria and various MR methodologies, including Inverse Variance Weighting (IVW), MR-Egger, and weighted median analyses, to assess causal relationships. We also conducted tests for directional pleiotropy, heterogeneity, and sensitivity analyses. Results: The MR analysis, based on the largest available dataset to date, did not provide evidence supporting a causal relationship between #covid19 susceptibility (OR = 0.989, 95% CI: 0.405-2.851, P = 0.926), #covid19 hospitalization (OR = 0.974, 95% CI: 0.852-1.113, P = 0.700), #covid19 severity (OR = 0.979, 95% CI: 0.890-1.077, P = 0.663), and GD. Tests for directional pleiotropy, heterogeneity, and sensitivity analyses supported these findings. Conclusions: This comprehensive MR study does not provide sufficient evidence to support a causal relationship between #covid19 and the onset or exacerbation of Graves' disease. These results contribute to a better understanding of the potential association between #covid19 and autoimmune diseases, alleviating concerns about a surge in autoimmune thyroid diseases due to the pandemic. Further research is warranted to explore this complex relationship thoroughly.

This seminar by Renato Polimanti provides a comprehensive theoretical background regarding the integration of causal inference and human genetics.

This study explores PANoptosis as a therapeutic target for myocardial infarction using Mendelian randomization and multi-omics data analysis.