Phylogenetic Methods Inconsistently Predict the Direction of HIV Transmission Among Heterosexual Pairs in the HPTN 052 Cohort

Author:

Rose Rebecca1,Hall Matthew2,Redd Andrew D34,Lamers Susanna1,Barbier Andrew E1,Porcella Stephen F5,Hudelson Sarah E6,Piwowar-Manning Estelle6,McCauley Marybeth7,Gamble Theresa7,Wilson Ethan A8,Kumwenda Johnstone9,Hosseinipour Mina C10,Hakim James G11,Kumarasamy Nagalingeswaran12,Chariyalertsak Suwat13,Pilotto Jose H1415,Grinsztejn Beatriz16,Mills Lisa A17,Makhema Joseph18,Santos Breno R19,Chen Ying Q8,Quinn Thomas C3420,Fraser Christophe2,Cohen Myron S10,Eshleman Susan H6,Laeyendecker Oliver3420

Affiliation:

1. BioInfoExperts, Thibodaux, Louisiana

2. Big Data Institute, University of Oxford, United Kingdom

3. Laboratory of Immunoregulation, Division of Intramural Research, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Baltimore, Maryland

4. Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland

5. Genomics Unit, Research Technologies Section, Rocky Mountain Laboratories, Division of Intramural Research, NIAID, NIH, Hamilton, Montana

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

7. Science Facilitation Department, Durham, Chapel Hill, North Carolina

8. Vaccine and Infectious Disease Science Division, Fred Hutchinson Cancer Research Institute, Seattle, Washington

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

10. Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina

11. University of Zimbabwe, Harare

12. YRGCARE Medical Centre, Chennai, India

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

14. Hospital Geral de Nova Iguaçu, Rio de Janeiro, Brazil

15. Laboratorio de AIDS e Imunologia Molecular (IOC/Fiocruz), Rio de Janeiro, Brazil

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

17. Centers for Disease Control and Prevention (CDC) Division of HIV/AIDS Prevention/KEMRI–CDC Research and Public Health Collaboration HIV Research Branch, Kisumu, Kenya

18. Botswana Harvard AIDS Institute, Gabarone

19. Servico de Infectologia, Hospital Nossa Senhora da Conceicao/GHC, Porto Alegre, Brazil

20. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland

Abstract

AbstractBackgroundWe evaluated use of phylogenetic methods to predict the direction of human immunodeficiency virus (HIV) transmission.MethodsFor 33 pairs of HIV-infected patients (hereafter, “index patients”) and their partners who acquired genetically linked HIV infection during the study, samples were collected from partners and index patients close to the time when the partner seroconverted (hereafter, “SC samples”); for 31 pairs, samples collected from the index patient at an earlier time point (hereafter, “early index samples”) were also available. Phylogenies were inferred using env next-generation sequences (1 tree per pair/subtype). The direction of transmission (DoT) predicted from each tree was classified as correct or incorrect on the basis of which sequences (those from the index patient or the partner) were closest to the root. DoT was also assessed using maximum parsimony to infer ancestral node states for 100 bootstrap trees.ResultsDoT was predicted correctly for both single-pair and subtype-specific trees in 22 pairs (67%) by using SC samples and in 23 pairs (74%) by using early index samples. DoT was predicted incorrectly for 4 pairs (15%) by using SC or early index samples. In the bootstrap analysis, DoT was predicted correctly for 18 pairs (55%) by using SC samples and for 24 pairs (73%) by using early index samples. DoT was predicted incorrectly for 7 pairs (21%) by using SC samples and for 4 pairs (13%) by using early index samples.ConclusionsPhylogenetic methods based solely on the tree topology of HIV env sequences, particularly without consideration of phylogenetic uncertainty, may be insufficient for determining DoT.

Funder

National Institute of Allergy and Infectious Diseases

National Institute on Drug Abuse

National Institute of Mental Health

National Institutes of Health

Department of Health and Human Services

Division of Intramural Research

National Cancer Institute

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Immunology and Allergy

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