The Role of Phylogenetics As a Tool to Predict the Spread of Resistance

Overview

Journal J Infect Dis

Publisher Oxford University Press

Specialty Infectious Diseases

Date 2017 Oct 14

PMID 29029155

Citations 5

Authors

Anna Zhukova

Teresa Cutino-Moguel

Olivier Gascuel

Deenan Pillay

Affiliations

Soon will be listed here.

Abstract

Drug resistance mutations emerge in genetic sequences of HIV through drug-selective pressure. Drug resistance can be transmitted. In this review we discuss phylogenetic methods used to study the emergence of drug resistance and the spread of resistant viruses.

Citing Articles

Genetic Diversity and Antiretroviral Resistance in HIV-1-Infected Patients Newly Diagnosed in Cabo Verde.

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Development and validation of a scoring system for the prediction of HIV drug resistance in Hubei province, China.

Yan J, Zhang W, Luo H, Wang X, Ruan L Front Cell Infect Microbiol. 2023; 13:1147477.

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Using machine learning and big data to explore the drug resistance landscape in HIV.

Blassel L, Tostevin A, Villabona-Arenas C, Peeters M, Hue S, Gascuel O PLoS Comput Biol. 2021; 17(8):e1008873.

PMID: 34437532 PMC: 8425536. DOI: 10.1371/journal.pcbi.1008873.

HIV Drug Resistance and Transmission Networks Among a Justice-Involved Population at the Time of Community Reentry in Washington, D.C.

Beckwith C, Min S, Manne A, Novitsky V, Howison M, Liu T AIDS Res Hum Retroviruses. 2021; 37(12):903-912.

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A Fast Likelihood Method to Reconstruct and Visualize Ancestral Scenarios.

Ishikawa S, Zhukova A, Iwasaki W, Gascuel O Mol Biol Evol. 2019; 36(9):2069-2085.

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