TY - JOUR
T1 - Phylogenetic methods inconsistently predict the direction of HIV transmission among heterosexual pairs in the HPTN 052 cohort
AU - Rose, Rebecca
AU - Hall, Matthew
AU - Redd, Andrew D.
AU - Lamers, Susanna
AU - Barbier, Andrew E.
AU - Porcella, Stephen F.
AU - Hudelson, Sarah E.
AU - Piwowar-Manning, Estelle
AU - McCauley, Marybeth
AU - Gamble, Theresa
AU - Wilson, Ethan A.
AU - Kumwenda, Johnstone
AU - Hosseinipour, Mina C.
AU - Hakim, James G.
AU - Kumarasamy, Nagalingeswaran
AU - Chariyalertsak, Suwat
AU - Pilotto, Jose H.
AU - Grinsztejn, Beatriz
AU - Mills, Lisa A.
AU - Makhema, Joseph
AU - Santos, Breno R.
AU - Chen, Ying Q.
AU - Quinn, Thomas C.
AU - Fraser, Christophe
AU - Cohen, Myron S.
AU - Eshleman, Susan H.
AU - Laeyendecker, Oliver
N1 - Funding Information:
Financial support. This work was supported by the HIV Prevention Trials Network (HPTN; sponsored by the National Institute of Allergy and Infectious Diseases [NIAID], the National Institute on Drug Abuse, the National Institute of Mental Health, and the Office of AIDS Research, National Institutes of Health [NIH], Department of Health and Human Services, under grants UM1AI068613 [to the HPTN Network Laboratory, S. H. E., principal investigator], UM1AI068617 [to the HPTN Statistical and Data Management Center, Deborah Donnell, principal investigator), and UM1AI068619 (to the HPTN Core and Operations Center, Wafaa El-Sadr, principal investigator]); the Division of Intramural Research, NIAID, NIH; and the National Cancer Institute, NIH (contract HHSN261200800001E).
Publisher Copyright:
© 2018 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.
PY - 2020/2/1
Y1 - 2020/2/1
N2 - 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.
AB - 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.
KW - Networks
KW - epidemiology
KW - viral dynamics
UR - http://www.scopus.com/inward/record.url?scp=85072717522&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072717522&partnerID=8YFLogxK
U2 - 10.1093/infdis/jiy734
DO - 10.1093/infdis/jiy734
M3 - Article
C2 - 30590741
AN - SCOPUS:85072717522
SN - 0022-1899
VL - 221
SP - 1406
EP - 1413
JO - Journal of Infectious Diseases
JF - Journal of Infectious Diseases
IS - 3
ER -