{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T18:55:24Z","timestamp":1772132124038,"version":"3.50.1"},"reference-count":49,"publisher":"Portland Press Ltd.","issue":"1","license":[{"start":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T00:00:00Z","timestamp":1761782400000},"content-version":"vor","delay-in-days":302,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"None","award":["None"],"award-info":[{"award-number":["None"]}]}],"content-domain":{"domain":["portlandpress.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,1,30]]},"abstract":"<jats:p>During the COVID-19 pandemic, there has been heightened interest in the QT interval, a crucial indicator of ventricular electrical activity. Mendelian randomization (MR) is used here to investigate the genetic causation between QT interval alterations and COVID-19. Genetic proxies representing three COVID-19 phenotypes\u2014severe, hospitalized, and COVID-19\u2014were identified in over 1,000,000 individuals of European ancestry. Univariate two-sample MR (TSMR) and multi-exposure-adjusted multivariate MR (MVMR) were used to assess genetic causal associations between COVID-19 and QT intervals in 84,630 UK Biobank participants. The MR-robust adjusted profile score (MR-RAPS) method and radial MR frame were utilized for effective robustness and outlier variant detection, with sensitivity analyses conducted to identify horizontal pleiotropy. For every COVID-19 phenotype, univariate TSMR analysis revealed non-significant causal estimates between COVID-19 and the QT interval [COVID-19: \u03b2IVW (95% CI): \u22120.44 (\u22121.72, 0.84), P = 0.50; hospitalization: \u03b2IVW: 0.12 (\u22120.57, 0.80), P = 0.74; severe case: \u03b2IVW: 0.11 (\u22120.29, 0.51), P = 0.58]. MR-RAPS and outlier-corrected radial MR analyses further supported this null causal estimation. In confounder-adjusted MVMR analysis, this nonsignificant causality was independent of body mass index (BMI), smoking, and alcohol consumption [\u03b2BMI+Alcohol+Smoking (95% CI): \u22120.77 (\u22122.44, 0.91), P = 0.37]. Sensitivity analyses did not detect any evidence of bias from horizontal pleiotropy, abnormal data distribution, or weak instruments. These findings suggest that COVID-19 does not directly causally prolong the QT interval. Inconsistent findings in observational research may be attributed to residual confounding.<\/jats:p>","DOI":"10.1042\/bsr20241281","type":"journal-article","created":{"date-parts":[[2024,12,10]],"date-time":"2024-12-10T07:03:33Z","timestamp":1733814213000},"page":"1-14","update-policy":"https:\/\/doi.org\/10.1042\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Does COVID-19 impact the QT interval prolongation? Answers from genetic causal inference"],"prefix":"10.1042","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6762-9899","authenticated-orcid":false,"given":"Yongfei","family":"Song","sequence":"first","affiliation":[{"name":"1Ningbo Institute of Innovation for Combined Medicine and Engineering, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5166-2528","authenticated-orcid":false,"given":"Zequn","family":"Zheng","sequence":"additional","affiliation":[{"name":"1Ningbo Institute of Innovation for Combined Medicine and Engineering, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China"},{"name":"2Department of Cardiology, First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"288","published-online":{"date-parts":[[2025,1,22]]},"reference":[{"key":"2025103010542895800_BSR-2024-1281C1","doi-asserted-by":"crossref","first-page":"1666","DOI":"10.1093\/cvr\/cvaa106","article-title":"COVID-19 and the cardiovascular system: implications for risk assessment, diagnosis, and treatment options","volume":"116","author":"Guzik","year":"2020","journal-title":"Cardiovasc. 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