Evaluation of Phylogenetic Methods for Inferring the Direction of Human Immunodeficiency Virus (HIV) Transmission: HIV Prevention Trials Network (HPTN) 052

Author:

Zhang Yinfeng1,Wymant Chris2ORCID,Laeyendecker Oliver3,Grabowski M Kathryn1,Hall Matthew2,Hudelson Sarah1,Piwowar-Manning Estelle1,McCauley Marybeth4,Gamble Theresa5,Hosseinipour Mina C67,Kumarasamy Nagalingeswaran8,Hakim James G9,Kumwenda Johnstone10,Mills Lisa A11,Santos Breno R12,Grinsztejn Beatriz13,Pilotto Jose H14,Chariyalertsak Suwat15,Makhema Joseph16,Chen Ying Q17,Cohen Myron S18,Fraser Christophe2,Eshleman Susan H1

Affiliation:

1. Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA

2. Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom

3. Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA

4. HIV Prevention Trials Network Leadership and Operations Center, FHI, Washington, District of Columbia, USA

5. HIV Prevention Trials Network Leadership and Operations Center, FHI, Durham, North Carolina, USA

6. Division of Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA

7. University of North Carolina Project–Malawi, Institute for Global Health and Infectious Diseases, Lilongwe, Malawi

8. Chennai Antiviral Research and Treatment Clinical Research Site, Infectious Diseases Medical Centre, Voluntary Health Services, Chennai, India

9. Department of Medicine, University of Zimbabwe, Harare, Zimbabwe

10. College of Medicine–Johns Hopkins Project, Blantyre, Malawi

11. US Centers for Disease Control and Prevention, HIV Research Branch, Kisumu, Kenya

12. Department of Infectious Diseases, Hospital Nossa Senhora da Conceição, Porto Alegre, Brazil

13. Instituto Nacional de Infectologia Evandro Chagas -Fiocruz, Rio de Janeiro, Brazil

14. Hospital Geral de Nova Iguacu and Laboratorio de AIDS e Imunologia Molecular–Instituto Oswaldo Cruz/Fiocruz, Rio de Janeiro, Brazil

15. Research Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand

16. Botswana-Harvard AIDS Institute Partnership, Gaborone, Botswana

17. Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA

18. Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA

Abstract

AbstractBackgroundPhylogenetic analysis can be used to assess human immunodeficiency virus (HIV) transmission in populations. We inferred the direction of HIV transmission using whole-genome HIV sequences from couples with known linked infection and known transmission direction.MethodsComplete next-generation sequencing (NGS) data were obtained for 105 unique index–partner sample pairs from 32 couples enrolled in the HIV Prevention Trials Network (HPTN) 052 study (up to 2 samples/person). Index samples were obtained up to 5.5 years before partner infection; partner samples were obtained near the time of seroconversion. The bioinformatics method, phyloscanner, was used to infer transmission direction. Analyses were performed using samples from individual sample pairs, samples from all couples (1 sample/person; group analysis), and all available samples (multisample group analysis). Analysis was also performed using NGS data from defined regions of the HIV genome (gag, pol, env).ResultsUsing whole-genome NGS data, transmission direction was inferred correctly (index to partner) for 98 of 105 (93.3%) of the individual sample pairs, 99 of 105 (94.3%) sample pairs using group analysis, and 31 of the 32 couples (96.9%) using multisample group analysis. There were no cases where the incorrect transmission direction (partner to index) was inferred. The accuracy of the method was higher with greater time between index and partner sample collection. Pol region sequences performed better than env or gag sequences for inferring transmission direction.ConclusionsWe demonstrate the potential of a phylogenetic method to infer the direction of HIV transmission between 2 individuals using whole-genome and pol NGS data.

Funder

US National Institute of Allergy and Infectious Diseases

US National Institutes of Health

Bill & Melinda Gates Foundation

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Microbiology (medical)

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