Phylogenetic Methods Inconsistently Predict the Direction of HIV Transmission Among Heterosexual Pairs in the HPTN 052 Cohort
© The Author(s) 2018. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com. BACKGROUND: We evaluated use of phylogenetic methods to predict the direction of human immunodeficiency virus (HIV) t...
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th-cmuir.6653943832-679692020-04-02T15:12:38Z Phylogenetic Methods Inconsistently Predict the Direction of HIV Transmission Among Heterosexual Pairs in the HPTN 052 Cohort Rebecca Rose Matthew Hall Andrew D. Redd Susanna Lamers Andrew E. Barbier Stephen F. Porcella Sarah E. Hudelson Estelle Piwowar-Manning Marybeth McCauley Theresa Gamble Ethan A. Wilson Johnstone Kumwenda Mina C. Hosseinipour James G. Hakim Nagalingeswaran Kumarasamy Suwat Chariyalertsak Jose H. Pilotto Beatriz Grinsztejn Lisa A. Mills Joseph Makhema Breno R. Santos Ying Q. Chen Thomas C. Quinn Christophe Fraser Myron S. Cohen Susan H. Eshleman Oliver Laeyendecker Medicine © The Author(s) 2018. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com. 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. 2020-04-02T15:12:38Z 2020-04-02T15:12:38Z 2019-09-26 Journal 15376613 2-s2.0-85072717522 10.1093/infdis/jiy734 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85072717522&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/67969 |
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Medicine Rebecca Rose Matthew Hall Andrew D. Redd Susanna Lamers Andrew E. Barbier Stephen F. Porcella Sarah E. Hudelson Estelle Piwowar-Manning Marybeth McCauley Theresa Gamble Ethan A. Wilson Johnstone Kumwenda Mina C. Hosseinipour James G. Hakim Nagalingeswaran Kumarasamy Suwat Chariyalertsak Jose H. Pilotto Beatriz Grinsztejn Lisa A. Mills Joseph Makhema Breno R. Santos Ying Q. Chen Thomas C. Quinn Christophe Fraser Myron S. Cohen Susan H. Eshleman Oliver Laeyendecker Phylogenetic Methods Inconsistently Predict the Direction of HIV Transmission Among Heterosexual Pairs in the HPTN 052 Cohort |
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© The Author(s) 2018. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com. 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. |
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Rebecca Rose Matthew Hall Andrew D. Redd Susanna Lamers Andrew E. Barbier Stephen F. Porcella Sarah E. Hudelson Estelle Piwowar-Manning Marybeth McCauley Theresa Gamble Ethan A. Wilson Johnstone Kumwenda Mina C. Hosseinipour James G. Hakim Nagalingeswaran Kumarasamy Suwat Chariyalertsak Jose H. Pilotto Beatriz Grinsztejn Lisa A. Mills Joseph Makhema Breno R. Santos Ying Q. Chen Thomas C. Quinn Christophe Fraser Myron S. Cohen Susan H. Eshleman Oliver Laeyendecker |
author_facet |
Rebecca Rose Matthew Hall Andrew D. Redd Susanna Lamers Andrew E. Barbier Stephen F. Porcella Sarah E. Hudelson Estelle Piwowar-Manning Marybeth McCauley Theresa Gamble Ethan A. Wilson Johnstone Kumwenda Mina C. Hosseinipour James G. Hakim Nagalingeswaran Kumarasamy Suwat Chariyalertsak Jose H. Pilotto Beatriz Grinsztejn Lisa A. Mills Joseph Makhema Breno R. Santos Ying Q. Chen Thomas C. Quinn Christophe Fraser Myron S. Cohen Susan H. Eshleman Oliver Laeyendecker |
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Rebecca Rose |
title |
Phylogenetic Methods Inconsistently Predict the Direction of HIV Transmission Among Heterosexual Pairs in the HPTN 052 Cohort |
title_short |
Phylogenetic Methods Inconsistently Predict the Direction of HIV Transmission Among Heterosexual Pairs in the HPTN 052 Cohort |
title_full |
Phylogenetic Methods Inconsistently Predict the Direction of HIV Transmission Among Heterosexual Pairs in the HPTN 052 Cohort |
title_fullStr |
Phylogenetic Methods Inconsistently Predict the Direction of HIV Transmission Among Heterosexual Pairs in the HPTN 052 Cohort |
title_full_unstemmed |
Phylogenetic Methods Inconsistently Predict the Direction of HIV Transmission Among Heterosexual Pairs in the HPTN 052 Cohort |
title_sort |
phylogenetic methods inconsistently predict the direction of hiv transmission among heterosexual pairs in the hptn 052 cohort |
publishDate |
2020 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85072717522&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/67969 |
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1681426733570457600 |