Meta-analysis of 990 EBV genomes identifies EBER2 SNP7048 and its interaction with HLA-A*11:01 driving nasopharyngeal carcinoma risk.

Proc Natl Acad Sci U S AOct 20, 2026 (epub)

Ching-Yuan Wang, Fei Yao, Xinyi Zhang et al.

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In 30 seconds

This meta-analysis examined whether EBV genetic variation and host genetics are associated with nasopharyngeal carcinoma (NPC) across endemic populations in Singapore, Hong Kong, and China’s Guangdong and Guangxi provinces. It combined whole-genome data from 990 EBV genomes with host genetic analyses and phylogenetic comparisons. EBV strains carrying EBER2 SNP7048 were consistently associated with NPC and were estimated to account for approximately 68% of attributable risk in Southeast Asia. Among people carrying a high-risk strain, absence of the HLA-A*11:01 protective allele was associated with a 30.9-fold increase in NPC risk.

Key findings

  • EBV strains carrying EBER2 SNP7048 were associated with NPC across the studied populations and accounted for approximately 68% of attributable risk in Southeast Asia.
  • People carrying a high-risk EBV strain without the HLA-A*11:01 protective allele had a 30.9-fold increase in NPC risk.
  • Phylogenetic analysis indicated that high-risk EBV lineages spread through Southeast Asia by clonal expansion from Southern China.

Why it matters

The findings link a specific EBV variant with NPC risk across several endemic populations and suggest that host immune genetics modifies that association. This provides a framework for studying how viral lineage and inherited susceptibility jointly shape population risk, while underscoring that infection alone does not capture the reported variation in NPC risk.

What to keep in mind

The analysis covered cohorts from Singapore, Hong Kong, and Guangdong and Guangxi provinces; its findings may not generalise to populations outside these regions.

Source

Published in Proc Natl Acad Sci U S A. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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AI-generated summaries may contain errors or omissions. Verify clinically important information with the original publication.

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