IFNL4 genotype and other personal characteristics to predict response to 8-week sofosbuvir-based treatment for chronic hepatitis C
Applying this algorithm at the point-of-care might facilitate HCV elimination, especially in low- and middle-income countries.
Authors
- Ludmila Prokunina‐Olsson (ORCID: https://orcid.org/0000-0002-9622-2091)
- Jennifer B. Lai (ORCID: https://orcid.org/0000-0002-3418-4800)
- Ruth M. Pfeiffer (ORCID: https://orcid.org/0000-0001-7791-2698)
- Thomas R. OʼBrien (ORCID: https://orcid.org/0000-0003-0003-6065)
- David Witt
- Kerry Grace Morrissey (ORCID: https://orcid.org/0000-0002-0988-4610)
- Francine Baker (ORCID: https://orcid.org/0000-0003-3133-3652)
- Varun Saxena (ORCID: https://orcid.org/0000-0003-1278-3455)
- Sabrina Chen (ORCID: https://orcid.org/0009-0009-2805-9059)
Institutions
- Westat (United States) (US)
- Information Management Services (US)
- Kaiser Permanente San Francisco Medical Center (US)
- Kaiser Permanente San Rafael Medical Center (US)
- Kaiser Permanente South San Francisco Medical Center (US)
- National Cancer Institute (US)
Publication Details
- Journal
- Journal of Infection
- Published
- 2024-08-30
- DOI
- https://doi.org/10.1016/j.jinf.2024.106258
- Citations
- 3
- Primary Topic
- Hepatitis C virus research
- Type
- article
- Field-Weighted Citation Impact
- 1.11
Funders
- U.S. Department of Health and Human Services
- National Institutes of Health
- National Cancer Institute
- National Institute on Minority Health and Health Disparities
- Division of Cancer Epidemiology and Genetics, National Cancer Institute