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Dataset Information

Deep sequencing of HIV-1 reveals extensive subtype variation and drug resistance after failure of first-line antiretroviral regimens in Nigeria.


ABSTRACT:

Background

Deep sequencing could improve understanding of HIV treatment failure and viral population dynamics. However, this tool is often inaccessible in low- and middle-income countries.

Objectives

To determine the genetic patterns of resistance emerging in West African HIV-1 subtypes during first-line virological failure, and the implications for future antiretroviral options.

Patients and methods

Participants were selected from a Nigerian cohort of people living with HIV who had failed first-line ART and subsequently switched to second-line therapy. Whole HIV-1 genome sequences were generated from first-line virological failure samples with Illumina MiSeq. Mutations detected at ≥2% frequency were analysed and compared by subtype.

Results

HIV-1 sequences wer

SUBMITTER: El Bouzidi K 

PROVIDER: S-EPMC8809188 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature