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| Item Type: | Preprint |
|---|---|
| Title: | Population-scale sequencing resolves correlates and determinants of latent Epstein-Barr Virus infection |
| Creators Name: | Nyeo, Sherry S., Cumming, Erin M., Burren, Oliver S., Pagadala, Meghana S., Gutierrez, Jacob C., Ali, Thahmina A., Kida, Laura C., Chen, Yifan, Hu, Fengyuan, Hollis, Benjamin, Fabre, Margarete, MacArthur, Stewart, Wang, Quanli, Ludwig, Leif S., Dey, Kushal K., Petrovski, Slave, Dhindsa, Ryan S. and Lareau, Caleb A. |
| Abstract: | Epstein-Barr Virus (EBV) is an endemic herpesvirus implicated in autoimmunity, cancer, and neurological disorders. Though primary infection typically resolves with subclinical symptoms, long-term complications can arise due to immune dysregulation or viral latency, in which EBV DNA is detectable in blood for decades. Despite the ubiquity of this virus, we have an incomplete understanding of the highly variable responses to EBV that range from asymptomatic infection to a trigger for severe disease. Here, we demonstrate that existing whole genome sequencing (WGS) data contains ample non-human DNA sequences to reconstruct a molecular biomarker of latent EBV infection consistent with orthogonal phenotypes, including viral serology. Using the UK Biobank (n = 490,560) and All of Us (n = 245,394), we uncover reproducible complex trait associations that nominate latent blood-derived EBV DNA as a respiratory, autoimmune, and cardiovascular disease biomarker. Further, we evaluate the genetic determinants of persistent EBV DNA via genome-wide and exome-wide association studies, uncovering protein-altering variants from 147 genes. Single-cell and pathway-scale enrichment analyses implicate variable antigen processing and presentation as a primary genetic determinant of latent EBV persistence, with gene programs expressed in B cells and antigen-presenting cells. Using predicted viral epitope presentation affinities, we implicate genetic variation in MHC class II as a key modulator of EBV DNA persistence. Our analyses demonstrate how existing WGS data can derive novel molecular biomarkers, which may generalize to dozens of viruses comprising the blood virome(1). |
| Source: | bioRxiv |
| ISSN: | 2692-8205 |
| Publisher: | Cold Spring Harbor Laboratory Press |
| Article Number: | 2025.07.18.665549 |
| Date: | 18 July 2025 |
| Official Publication: | https://doi.org/10.1101/2025.07.18.665549 |
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