4.6 Review

Next-Generation Sequencing for HIV Drug Resistance Testing: Laboratory, Clinical, and Implementation Considerations

Journal

VIRUSES-BASEL
Volume 12, Issue 6, Pages -

Publisher

MDPI
DOI: 10.3390/v12060617

Keywords

HIV drug resistance; next-generation sequencing; low; medium-income countries; implementation; low-abundance variants

Categories

Funding

  1. Mexican Government (Comision de Equidad y Genero de las Legislaturas LX-LXI y Comision de Igualdad de Genero de la Legislatura LXII de la H. Camara de Diputados de la Republica Mexicana)
  2. Consejo Nacional de Ciencia y Tecnologia [CONACyT SALUD-2017-01-289725]
  3. Canadian Federal Initiative to Address HIV and AIDS
  4. Public Health Agency of Canada
  5. [R01AI140970]
  6. [P30 AI50410]
  7. [R01AI147333]
  8. [R01AI136058]
  9. [R01AI120792]
  10. [K24AI134359]
  11. [P30AI042853]

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Higher accessibility and decreasing costs of next generation sequencing (NGS), availability of commercial kits, and development of dedicated analysis pipelines, have allowed an increasing number of laboratories to adopt this technology for HIV drug resistance (HIVDR) genotyping. Conventional HIVDR genotyping is traditionally carried out using population-based Sanger sequencing, which has a limited capacity for reliable detection of variants present at intra-host frequencies below a threshold of approximately 20%. NGS has the potential to improve sensitivity and quantitatively identify low-abundance variants, improving efficiency and lowering costs. However, some challenges exist for the standardization and quality assurance of NGS-based HIVDR genotyping. In this paper, we highlight considerations of these challenges as related to laboratory, clinical, and implementation of NGS for HIV drug resistance testing. Several sources of variation and bias occur in each step of the general NGS workflow, i.e., starting material, sample type, PCR amplification, library preparation method, instrument and sequencing chemistry-inherent errors, and data analysis options and limitations. Additionally, adoption of NGS-based HIVDR genotyping, especially for clinical care, poses pressing challenges, especially for resource-poor settings, including infrastructure and equipment requirements and cost, logistic and supply chains, instrument service availability, personnel training, validated laboratory protocols, and standardized analysis outputs. The establishment of external quality assessment programs may help to address some of these challenges and is needed to proceed with NGS-based HIVDR genotyping adoption.

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