0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessMost TDR strains in SSA and SSEA arose independently, suggesting that ARV regimens with a high genetic barrier to resistance combined with improved patient adherence may mitigate TDR increases by reducing the generation of new ARV-resistant strains. A small number of NNRTI-resistance mutations were responsible for most cases of high-level resistance, suggesting that inexpensive point-mutation assays to detect these mutations may be useful for pre-therapy screening in regions with high levels of TDR. In the context of a public health approach to ARV therapy, a reliable point-of-care genotypic resistance test could identify which patients should receive standard first-line therapy and which should receive a protease-inhibitor-containing regimen.
Soo‐Yon Rhee, José Luís Blanco, Michael R. Jordan, Jonathan Taylor, Philippe Lemey, Vici Varghese, Raph L Hamers, Silvia Bertagnolio, Tobias F. Rinke de Wit, Avelin F. Aghokeng, Jan Albert, Radko Avi, Santiago Ávila‐Ríos, Pascal Bessong, James Brooks, Charles A. Boucher, Zabrina L. Brumme, Michael P. Busch, Hermann Bussmann, Marie‐Laure Chaix, Bum Sik Chin, Toni Thomas d’Aquin, Cillian De Gascun, Anne Derache, Diane Descamps, Alaka Deshpande, Cyrille F. Djoko, Susan H. Eshleman, Hervé Fleury, Pierre Frange, Seiichiro Fujisaki, P. Richard Harrigan, Junko Hattori, África Holguín, Gillian Hunt, Hiroshi Ichimura, Pontiano Kaleebu, David Katzenstein, Sasisopin Kiertiburanakul, Jérôme H. Kim, Sung Soon Kim, Yanpeng Li, Irja Lutsar, Lynn Morris, Nicaise Ndembi, Kee Peng Ng, Ramesh Paranjape, Martine Peeters, Mario Poljak, Matt A. Price, Manon Ragonnet‐Cronin, Gustavo Reyes‐Terán, Morgane Rolland, Sunee Sirivichayakul, Davey M. Smith, Marcelo A. Soares, Vincent Soriano, Deogratius Ssemwanga, Maja Stanojević, Mariane A. Stefani, Wataru Sugiura, Somnuek Sungkanuparph, Amílcar Tanuri, Kok Keng Tee, Hong-Ha M. Truong, David van de Vijver, Nicole Vidal, Chunfu Yang, Rongge Yang, Gonzalo Yebra, John P A Ioannidis, Anne‐Mieke Vandamme, Robert W. Shafer (2015). Geographic and Temporal Trends in the Molecular Epidemiology and Genetic Mechanisms of Transmitted HIV-1 Drug Resistance: An Individual-Patient- and Sequence-Level Meta-Analysis. , 12(4), DOI: https://doi.org/10.1371/journal.pmed.1001810.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2015
Authors
73
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1371/journal.pmed.1001810
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access
