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Genome-wide association study of BNT162b2 vaccine-related myocarditis identifies potential predisposing functional areas in Hong Kong adolescents

Authors :
Chun Hing She
Hing Wai Tsang
Xingtian Yang
Sabrina SL Tsao
Clara SM Tang
Sophelia HS Chan
Mike YW Kwan
Gilbert T Chua
Wanling Yang
Patrick Ip
Source :
BMC Genomic Data, Vol 25, Iss 1, Pp 1-10 (2024)
Publication Year :
2024
Publisher :
BMC, 2024.

Abstract

Abstract Vaccine-related myocarditis associated with the BNT162b2 vaccine is a rare complication, with a higher risk observed in male adolescents. However, the contribution of genetic factors to this condition remains uncertain. In this study, we conducted a comprehensive genetic association analysis in a cohort of 43 Hong Kong Chinese adolescents who were diagnosed with myocarditis shortly after receiving the BNT162b2 mRNA COVID-19 vaccine. A comparison of whole-genome sequencing data was performed between the confirmed myocarditis cases and a control group of 481 healthy individuals. To narrow down potential genomic regions of interest, we employed a novel clustering approach called ClusterAnalyzer, which prioritised 2,182 genomic regions overlapping with 1,499 genes for further investigation. Our pathway analysis revealed significant enrichment of these genes in functions related to cardiac conduction, ion channel activity, plasma membrane adhesion, and axonogenesis. These findings suggest a potential genetic predisposition in these specific functional areas that may contribute to the observed side effect of the vaccine. Nevertheless, further validation through larger-scale studies is imperative to confirm these findings. Given the increasing prominence of mRNA vaccines as a promising strategy for disease prevention and treatment, understanding the genetic factors associated with vaccine-related myocarditis assumes paramount importance. Our study provides valuable insights that significantly advance our understanding in this regard and serve as a valuable foundation for future research endeavours in this field.

Details

Language :
English
ISSN :
27306844
Volume :
25
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Genomic Data
Publication Type :
Academic Journal
Accession number :
edsdoj.951fd993a5714658a28a07491134d5d7
Document Type :
article
Full Text :
https://doi.org/10.1186/s12863-024-01238-6