Assessing the Causal Association Between COVID-19 and Graves Disease: Mendelian Randomization Study.

IF 2 Q3 HEALTH CARE SCIENCES & SERVICES JMIR Formative Research Pub Date : 2025-04-08 DOI:10.2196/66003
Hui Nian, Yu Bai, Hua Yu
{"title":"Assessing the Causal Association Between COVID-19 and Graves Disease: Mendelian Randomization Study.","authors":"Hui Nian, Yu Bai, Hua Yu","doi":"10.2196/66003","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Graves disease (GD) is an autoimmune thyroid disorder characterized by hyperthyroidism and autoantibodies. The COVID-19 pandemic has raised questions about its potential relationship with autoimmune diseases like GD.</p><p><strong>Objective: </strong>This study aims to investigate the causal association between COVID-19 and GD through Mendelian randomization (MR) analysis and assess the impact of COVID-19 on GD.</p><p><strong>Methods: </strong>We conducted an MR study using extensive genome-wide association study data for GD and COVID-19 susceptibility and its severity. We used stringent single nucleotide polymorphism selection criteria and various MR methodologies, including inverse-variance weighting, MR-Egger, and weighted median analyses, to assess causal relationships. We also conducted tests for directional pleiotropy and heterogeneity, as well as sensitivity analyses.</p><p><strong>Results: </strong>The MR analysis, based on the largest available dataset to date, did not provide evidence supporting a causal relationship between COVID-19 susceptibility (odds ratio [OR] 0.989, 95% CI 0.405-2.851; P=.93), COVID-19 hospitalization (OR 0.974, 95% CI 0.852-1.113; P=.70), COVID-19 severity (OR 0.979, 95% CI 0.890-1.077; P=.66), and GD. Tests for directional pleiotropy and heterogeneity, as well as sensitivity analyses, supported these findings.</p><p><strong>Conclusions: </strong>This comprehensive MR study does not provide sufficient evidence to support a causal relationship between COVID-19 and the onset or exacerbation of GD. These results contribute to a better understanding of the potential association between COVID-19 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.</p>","PeriodicalId":14841,"journal":{"name":"JMIR Formative Research","volume":"9 ","pages":"e66003"},"PeriodicalIF":2.0000,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11999383/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JMIR Formative Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2196/66003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Graves disease (GD) is an autoimmune thyroid disorder characterized by hyperthyroidism and autoantibodies. The COVID-19 pandemic has raised questions about its potential relationship with autoimmune diseases like GD.

Objective: This study aims to investigate the causal association between COVID-19 and GD through Mendelian randomization (MR) analysis and assess the impact of COVID-19 on GD.

Methods: We conducted an MR study using extensive genome-wide association study data for GD and COVID-19 susceptibility and its severity. We used stringent single nucleotide polymorphism selection criteria and various MR methodologies, including inverse-variance weighting, MR-Egger, and weighted median analyses, to assess causal relationships. We also conducted tests for directional pleiotropy and heterogeneity, as well as sensitivity analyses.

Results: The MR analysis, based on the largest available dataset to date, did not provide evidence supporting a causal relationship between COVID-19 susceptibility (odds ratio [OR] 0.989, 95% CI 0.405-2.851; P=.93), COVID-19 hospitalization (OR 0.974, 95% CI 0.852-1.113; P=.70), COVID-19 severity (OR 0.979, 95% CI 0.890-1.077; P=.66), and GD. Tests for directional pleiotropy and heterogeneity, as well as sensitivity analyses, supported these findings.

Conclusions: This comprehensive MR study does not provide sufficient evidence to support a causal relationship between COVID-19 and the onset or exacerbation of GD. These results contribute to a better understanding of the potential association between COVID-19 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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
评估COVID-19与Graves病之间的因果关系:孟德尔随机化研究
背景:巴塞杜氏病(GD)是一种以甲状腺功能亢进和自身抗体为特征的自身免疫性甲状腺疾病。COVID-19大流行引发了人们对其与GD等自身免疫性疾病潜在关系的质疑:本研究旨在通过孟德尔随机分析(MR)研究 COVID-19 与 GD 之间的因果关系,并评估 COVID-19 对 GD 的影响:我们利用广泛的全基因组关联研究数据,对GD和COVID-19易感性及其严重程度进行了MR研究。我们采用了严格的单核苷酸多态性选择标准和各种 MR 方法(包括逆方差加权、MR-Egger 和加权中位数分析)来评估因果关系。我们还进行了方向性多义性和异质性检验以及敏感性分析:基于迄今最大可用数据集的MR分析未提供证据支持COVID-19易感性(比值比[OR] 0.989,95% CI 0.405-2.851;P=.93)、COVID-19住院率(OR 0.974,95% CI 0.852-1.113;P=.70)、COVID-19严重程度(OR 0.979,95% CI 0.890-1.077;P=.66)与广东之间的因果关系。定向多效性和异质性检验以及敏感性分析均支持这些结果:这项全面的磁共振研究没有提供足够的证据支持 COVID-19 与 GD 发病或加重之间的因果关系。这些结果有助于更好地理解 COVID-19 与自身免疫性疾病之间的潜在关联,减轻了人们对大流行导致自身免疫性甲状腺疾病激增的担忧。我们有必要开展进一步的研究,以深入探讨这种复杂的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
JMIR Formative Research
JMIR Formative Research Medicine-Medicine (miscellaneous)
CiteScore
2.70
自引率
9.10%
发文量
579
审稿时长
12 weeks
期刊最新文献
Early Prediction of Cardiac Arrest Based on Time-Series Vital Signs Using Deep Learning: Retrospective Study. Using a Transdisciplinary Approach in Learning Communities for Designing Wearable Stress Management for Vulnerable Populations: Development and Usability Study. Community Experiences of Social and Nonmedical Gender-Affirming Care: Interview Study Among Transgender and/or Nonbinary Persons. Development and Initial Validation of a Brief, Online Version of the Center for Epidemiological Studies Depression Scale (CES-D): Psychometric Study. Linking Patient-Reported and Clinician-Assessed Wound Status via Chatbot-Based Digital Surveillance for Wound Infection: Retrospective Observational Study.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1