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2020-11-07
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PHYLOGENETIC METHODS INCONSISTENTLY PREDICT THE DIRECTION OF HIV TRANSMISSION AMONG HETEROSEXUAL PAIRS IN THE HPTN 052 COHORT
Beatriz Grinsztejn. Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Rio de Janeiro, RJ, Brasil. Documento produzido em parceria ou por autor vinculado à Fiocruz, mas não consta à informação no documento.
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), and 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, FHI360, 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 and 15 Laboratorio de AIDS e Imunologia Molecular (IOC/Fiocruz) and 16Instituto 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.
Author
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
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
Affilliation
Múltipla - Ver em Notas.
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 topolog.
Publisher
Oxford University Press
Citation
ROSE, Rebecca et al. Phylogenetic methods inconsistently predict the direction of HIV transmission among heterosexual pairs in the HPTN 052 cohort. Journal of Infectious Diseases, v. 220, n. 9, p. 1406-1413, Nov. 2019.DOI
10.1093/infdis/jiy734ISSN
0022-1899Notes
Jose H. Pilotto. Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de AIDS e Imunologia Molecular. Rio de Janeiro, RJ, Brasil. Documento produzido em parceria ou por autor vinculado à Fiocruz, mas não consta à informação no documento.Beatriz Grinsztejn. Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Rio de Janeiro, RJ, Brasil. Documento produzido em parceria ou por autor vinculado à Fiocruz, mas não consta à informação no documento.
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), and 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, FHI360, 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 and 15 Laboratorio de AIDS e Imunologia Molecular (IOC/Fiocruz) and 16Instituto 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.
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