12–17 Jul 2026
University of Graz
Europe/Vienna timezone

A phylodynamic model for within-host HCV infection integrating genomic sequences and time series biomarkers

16 Jul 2026, 17:00
20m
11.34 - SR (University of Graz)

11.34 - SR

University of Graz

28
Contributed Talk Immunobiology & Infection Contributed Talks

Speaker

Wei-Ting Chen (The Ohio State University - Columbus, OH)

Description

Hepatitis C virus (HCV) is a blood-borne RNA virus that remains the major cause of liver-related morbidity worldwide. Following acute infection, outcomes vary drastically across individuals: some patients spontaneously clear the virus, while others develop chronic infection progressing to severe liver disease. This variation is known to be driven by the heterogeneities in host immunity, an interplay among innate immunity, antibodies, and T-cell response. This talk aims to characterize and quantify the impact of different immune response mechanisms, providing insights into future vaccine design.

In this project, we develop a phylodynamic framework to study within-host HCV infection in a cohort of injection drug users (IDU). Our approach integrates viral genetic sequences, reconstructed phylogenetic relationships, and longitudinal biomarker measurements within a unified viral dynamics model. This approach enables joint inference on infection dynamics and viral evolution within the host, allowing genetic diversification to be interpreted alongside observed biomarker trajectories.

The primary objective of this work is to estimate key features of viral dynamics, including viral infection dynamics on cells and viral clearance.Eventually, we seek to determine whether the combined analysis of genetic and longitudinal clinical data can identify signatures associated with distinct infection outcomes.

Authors

Christiaan van Dorp (Columbia University) Ethan Romero-Severson (Los Alamos National Laboratory) Qianying Lin (The Ohio State University) Wei-Ting Chen (The Ohio State University - Columbus, OH)

Presentation materials

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