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Telomere Length and COVID-19 Outcomes: A Two-Sample Bidirectional Mendelian Randomization Study.
Jiang, Li; Tang, Bei-Sha; Guo, Ji-Feng; Li, Jin-Chen.
Affiliation
  • Jiang L; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
  • Tang BS; Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, China.
  • Guo JF; Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.
  • Li JC; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
Front Genet ; 13: 805903, 2022.
Article in En | MEDLINE | ID: mdl-35677559
ABSTRACT
Observational studies have found a relationship between directly measured short leukocyte telomere length (LTL) and severe coronavirus disease 19 (COVID-19). We investigated the causal association between genetically predicted LTL and COVID-19 susceptibility or severity. A previous genome-wide association study (GWAS) of 78,592 European-ancestry participants identified single nucleotidepolymorphisms (SNPs) that can be utilized to genetically predict LTL. Summary-level data for COVID-19 outcomes were analyzed from the COVID-19 Host Genetics Initiative. A two-sample bidirectional Mendelian randomization (MR) study was designed to evaluate these causal relationships. Using an inverse-weighted MR analysis and population-based controls, genetically predicted LTL did not reveal any significant association with COVID-19 susceptibility (odds ratio (OR) 0.94; 95% CI 0.85-1.04; p = 0.202) or severity (OR 0.85; 95% CI 0.70-1.03; p = 0.099). Similar results were found for five other definitions of cases/controls and/or COVID-19 outcomes. Six additional MR methods and sensitivity analyses were conducted after removing variants with potential horizontal pleiotropy and including variants at a liberal significance level, which produced similar results. Using SNPs identified for the prediction of LTL from another GWAS study, we found a non-significant association for COVID-19 susceptibility or severity with narrower CIs toward the null hypothesis. No proof of genetically predicted COVID-19 phenotypes remained causally associated with genetically predicted LTL, and the null association was consistent with a lack of significant genetic correlation. Genetic evidence does not support shorter LTL as a causal risk factor for COVID-19 susceptibility or severity.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Front Genet Year: 2022 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Front Genet Year: 2022 Document type: Article Affiliation country: China