Systematic annotation and analysis of susceptibility genes associated with vaccine adverse events

Susceptibility genes, including single-nucleotide polymorphisms (SNPs) in the DNA sequences, genetically predispose certain individuals to developing adverse events (AEs) following vaccination. Such AEs are often undetected in initial clinical safety trials during vaccine licensing evaluations. Therefore, a comprehensive understanding of susceptibility genes is crucial for vaccine development, safety monitoring, and precision immunization. VaegenDB is a web-based centralized database and analysis system designed for managing, storing, and analyzing susceptibility genes associated with vaccine AEs. Basic information on these genes and supporting evidence are curated from peer-reviewed literature, while more detailed gene, AE, and vaccine data are automatically extracted from existing databases such as RefSeq and VIOLIN using in-house scripts. Currently, VaegenDB contains information on 160 susceptibility genes linked to 151 AEs and 86 vaccines. The system offers a user-friendly web interface that enables interactive querying and visualization of susceptibility genes. Bioinformatics analyses using VaegenDB reveal that a single susceptibility gene may harbor multiple genetic variations, one vaccine can be associated with several AEs, and a single AE may be influenced by multiple genes or SNPs. In addition, KEGG and GO enrichment analyses were employed to identify gene signatures-including functional annotations, mutation types, and expression patterns-associated with adverse reactions. The construction of this database and subsequent bioinformatics analyses help clarify enriched gene profiles and underlying mechanisms of vaccine-related AEs, thereby supporting rational vaccine design and advances in precision medicine.

Authors

Institutions

Publication Details

Journal
BMC Medical Genomics
Published
2025-12-08
DOI
https://doi.org/10.1186/s12920-025-02292-4
Primary Topic
Pharmacovigilance and Adverse Drug Reactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Systematic annotation and analysis of susceptibility genes associated with vaccine adverse events

Chenchen Pan, Yongqun He, Jiangan Xie, Jun Su et al.
BMC Medical Genomics
Pharmacovigilance and Adverse Drug Reactions
article

Systematic annotation and analysis of susceptibility genes associated with vaccine adverse events

Chenchen Pan, Yongqun He, Jiangan Xie, Jun Su, Xue Zhang, Qianqian Song, Bingjian Yang
article en

Abstract

Susceptibility genes, including single-nucleotide polymorphisms (SNPs) in the DNA sequences, genetically predispose certain individuals to developing adverse events (AEs) following vaccination. Such AEs are often undetected in initial clinical safety trials during vaccine licensing evaluations. Therefore, a comprehensive understanding of susceptibility genes is crucial for vaccine development, safety monitoring, and precision immunization. VaegenDB is a web-based centralized database and analysis system designed for managing, storing, and analyzing susceptibility genes associated with vaccine AEs. Basic information on these genes and supporting evidence are curated from peer-reviewed literature, while more detailed gene, AE, and vaccine data are automatically extracted from existing databases such as RefSeq and VIOLIN using in-house scripts. Currently, VaegenDB contains information on 160 susceptibility genes linked to 151 AEs and 86 vaccines. The system offers a user-friendly web interface that enables interactive querying and visualization of susceptibility genes. Bioinformatics analyses using VaegenDB reveal that a single susceptibility gene may harbor multiple genetic variations, one vaccine can be associated with several AEs, and a single AE may be influenced by multiple genes or SNPs. In addition, KEGG and GO enrichment analyses were employed to identify gene signatures-including functional annotations, mutation types, and expression patterns-associated with adverse reactions. The construction of this database and subsequent bioinformatics analyses help clarify enriched gene profiles and underlying mechanisms of vaccine-related AEs, thereby supporting rational vaccine design and advances in precision medicine.

BMC Medical GenomicsVol. 19(1)
Chongqing University of Posts and Telecommunications (CN), University of Michigan (US)
Openalex Percentile: Top 60%
Pharmacovigilance and Adverse Drug Reactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.