Sequencing HIV Diagnostic Samples to Detect Genetic Clusters and Assess Sequence Coverage Gaps
Higher sequence coverage can improve cluster detection. While increased routine care sequence collection and reporting could fill many data gaps, sequencing remnant HIV test samples could include people without care linkage.
Authors
- Kimberly A. Powers (ORCID: https://orcid.org/0000-0001-7980-9846)
- Ronald Swanstrom (ORCID: https://orcid.org/0000-0001-7777-0773)
- Ann M. Dennis (ORCID: https://orcid.org/0000-0003-0687-9661)
- Victoria Mobley (ORCID: https://orcid.org/0000-0003-4702-4467)
- Cara J. Broshkevitch (ORCID: https://orcid.org/0000-0002-5627-8250)
- Myron S. Cohen (ORCID: https://orcid.org/0000-0001-5917-9664)
- Erika Samoff
- Joseph J. Eron (ORCID: https://orcid.org/0000-0002-4938-0644)
- Annalea Greifinger
- Scott M. Shone (ORCID: https://orcid.org/0000-0001-8171-6331)
- Kimberly Enders
- Erik Volz (ORCID: https://orcid.org/0000-0001-6268-8937)
- Simon D. W. Frost (ORCID: https://orcid.org/0000-0002-5207-9879)
- Nathan Long (ORCID: https://orcid.org/0000-0002-0220-7318)
- Shuntai Zhou (ORCID: https://orcid.org/0000-0002-8353-386X)
Institutions
- University of North Carolina at Chapel Hill (US)
- NC Department of Health and Human Services (US)
- Microsoft (United States) (US)
- London School of Hygiene & Tropical Medicine (GB)
- Imperial College London (GB)
Publication Details
- Journal
- Open Forum Infectious Diseases
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1093/ofid/ofaf305
- Primary Topic
- HIV/AIDS Research and Interventions
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health