Genetically predicted effects of COVID-19 on 2272 traits: exploring through a phenome-wide Mendelian randomization study

This phenome-wide MR study provides valuable insights into the genetically predicted effects of COVID-19 on a comprehensive range of traits. The identified associations contribute to our understanding of the complex interplay between the impact of the post-COVID-19 era on healthcare and may have implications for the development of targeted therapeutic strategies and public health interventions. Key messages What is already known on this topic - COVID-19 has a high mortality rate, and patients often have many sequelae, including myocarditis, acute respiratory distress syndrome, and neurological and hematologic complications. What this study adds Most of the current relevant studies lack large-scale phenotype-group ranging Mendelian randomization (MR) studies on the outcome of COVID-19 due to their small sample sizes. Therefore, this study performed a full phenotypic group MR analysis in the FinnGen dataset to investigate the relationship between COVID-19 and thousands of outcome variables. How this study might affect research, practice or policy- The study identified a set of traits that are strongly associated with genetic susceptibility to the long-term effects of COVID-19.

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Publication Details

Journal
Postgraduate Medical Journal
Published
2025-03-24
DOI
https://doi.org/10.1093/postmj/qgaf037
Primary Topic
Genetic Associations and Epidemiology
Type
article
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article

Genetically predicted effects of COVID-19 on 2272 traits: exploring through a phenome-wide Mendelian randomization study

Junyu Zhou, Yi Ge, Yu Shrike Zhang, Jing Yu
Postgraduate Medical Journal
Genetic Associations and Epidemiology
article

Genetically predicted effects of COVID-19 on 2272 traits: exploring through a phenome-wide Mendelian randomization study

Junyu Zhou, Yi Ge, Yu Shrike Zhang, Jing Yu
article en

Abstract

This phenome-wide MR study provides valuable insights into the genetically predicted effects of COVID-19 on a comprehensive range of traits. The identified associations contribute to our understanding of the complex interplay between the impact of the post-COVID-19 era on healthcare and may have implications for the development of targeted therapeutic strategies and public health interventions. Key messages What is already known on this topic - COVID-19 has a high mortality rate, and patients often have many sequelae, including myocarditis, acute respiratory distress syndrome, and neurological and hematologic complications. What this study adds Most of the current relevant studies lack large-scale phenotype-group ranging Mendelian randomization (MR) studies on the outcome of COVID-19 due to their small sample sizes. Therefore, this study performed a full phenotypic group MR analysis in the FinnGen dataset to investigate the relationship between COVID-19 and thousands of outcome variables. How this study might affect research, practice or policy- The study identified a set of traits that are strongly associated with genetic susceptibility to the long-term effects of COVID-19.

Postgraduate Medical JournalVol. 101(1200)
Central South University (CN), Sun Yat-sen University (CN), SKiN Health (CA), The Seventh Affiliated Hospital of Sun Yat-sen University (CN), Hunan Cancer Hospital (CN), PharmacoGenetics (China) (CN), Xiangya Hospital Central South University (CN)
Good health and well-being
Openalex Percentile: Top 93%
Genetic Associations and Epidemiology
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Genetically predicted effects of COVID-19 on 2272 traits: exploring through a phenome-wide Mendelian randomization study — Junyu Zhou, Yi Ge, et al. · Postgraduate Medical Journal (2025) | TGRS Research Map | TGRS