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Phylogenetic Methods Inconsistently Predict the Direction of HIV Transmission Among Heterosexual Pairs in the HPTN 052 Cohort.
Rose, Rebecca; Hall, Matthew; Redd, Andrew D; Lamers, Susanna; Barbier, Andrew E; Porcella, Stephen F; Hudelson, Sarah E; Piwowar-Manning, Estelle; McCauley, Marybeth; Gamble, Theresa; Wilson, Ethan A; Kumwenda, Johnstone; Hosseinipour, Mina C; Hakim, James G; Kumarasamy, Nagalingeswaran; Chariyalertsak, Suwat; Pilotto, Jose H; Grinsztejn, Beatriz; Mills, Lisa A; Makhema, Joseph; Santos, Breno R; Chen, Ying Q; Quinn, Thomas C; Fraser, Christophe; Cohen, Myron S; Eshleman, Susan H; Laeyendecker, Oliver.
Affiliation
  • Rose R; BioInfoExperts, Thibodaux, Louisiana.
  • Hall M; Big Data Institute, University of Oxford, United Kingdom.
  • Redd AD; Laboratory of Immunoregulation, Division of Intramural Research, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Baltimore, Maryland.
  • Lamers S; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Barbier AE; BioInfoExperts, Thibodaux, Louisiana.
  • Porcella SF; BioInfoExperts, Thibodaux, Louisiana.
  • Hudelson SE; Genomics Unit, Research Technologies Section, Rocky Mountain Laboratories, Division of Intramural Research, NIAID, NIH, Hamilton, Montana.
  • Piwowar-Manning E; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • McCauley M; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Gamble T; Science Facilitation Department, Durham, Chapel Hill, North Carolina.
  • Wilson EA; Science Facilitation Department, Durham, Chapel Hill, North Carolina.
  • Kumwenda J; Vaccine and Infectious Disease Science Division, Fred Hutchinson Cancer Research Institute, Seattle, Washington.
  • Hosseinipour MC; College of Medicine-Johns Hopkins Project, Blantyre, Malawi.
  • Hakim JG; Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
  • Kumarasamy N; University of Zimbabwe, Harare.
  • Chariyalertsak S; YRGCARE Medical Centre, Chennai, India.
  • Pilotto JH; Research Institute for Health Sciences, Chiang Mai University, Thailand.
  • Grinsztejn B; Hospital Geral de Nova Iguaçu, Rio de Janeiro, Brazil.
  • Mills LA; Laboratorio de AIDS e Imunologia Molecular (IOC/Fiocruz), Rio de Janeiro, Brazil.
  • Makhema J; Instituto Nacional de Infectologia Evandro Chagas-INI-Fiocruz, Rio de Janeiro, Brazil.
  • Santos BR; Centers for Disease Control and Prevention (CDC) Division of HIV/AIDS Prevention/KEMRI-CDC Research and Public Health Collaboration HIV Research Branch, Kisumu, Kenya.
  • Chen YQ; Botswana Harvard AIDS Institute, Gabarone.
  • Quinn TC; Servico de Infectologia, Hospital Nossa Senhora da Conceicao/GHC, Porto Alegre, Brazil.
  • Fraser C; Vaccine and Infectious Disease Science Division, Fred Hutchinson Cancer Research Institute, Seattle, Washington.
  • Cohen MS; Laboratory of Immunoregulation, Division of Intramural Research, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Baltimore, Maryland.
  • Eshleman SH; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Laeyendecker O; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
J Infect Dis ; 220(9): 1406-1413, 2019 09 26.
Article in En | MEDLINE | ID: mdl-30590741
ABSTRACT

BACKGROUND:

We evaluated use of phylogenetic methods to predict the direction of human immunodeficiency virus (HIV) transmission.

METHODS:

For 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.

RESULTS:

DoT 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.

CONCLUSIONS:

Phylogenetic methods based solely on the tree topology of HIV env sequences, particularly without consideration of phylogenetic uncertainty, may be insufficient for determining DoT.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Phylogeny / HIV Infections / HIV / Molecular Epidemiology / Disease Transmission, Infectious / Genotype Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Language: En Journal: J Infect Dis Year: 2019 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Phylogeny / HIV Infections / HIV / Molecular Epidemiology / Disease Transmission, Infectious / Genotype Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Language: En Journal: J Infect Dis Year: 2019 Type: Article