Evaluation of Phylogenetic Methods for Inferring the Direction of Human Immunodeficiency Virus (HIV) Transmission: HIV Prevention Trials Network (HPTN) 052. (7th February 2020)
- Record Type:
- Journal Article
- Title:
- Evaluation of Phylogenetic Methods for Inferring the Direction of Human Immunodeficiency Virus (HIV) Transmission: HIV Prevention Trials Network (HPTN) 052. (7th February 2020)
- Main Title:
- Evaluation of Phylogenetic Methods for Inferring the Direction of Human Immunodeficiency Virus (HIV) Transmission: HIV Prevention Trials Network (HPTN) 052
- Authors:
- Zhang, Yinfeng
Wymant, Chris
Laeyendecker, Oliver
Grabowski, M Kathryn
Hall, Matthew
Hudelson, Sarah
Piwowar-Manning, Estelle
McCauley, Marybeth
Gamble, Theresa
Hosseinipour, Mina C
Kumarasamy, Nagalingeswaran
Hakim, James G
Kumwenda, Johnstone
Mills, Lisa A
Santos, Breno R
Grinsztejn, Beatriz
Pilotto, Jose H
Chariyalertsak, Suwat
Makhema, Joseph
Chen, Ying Q
Cohen, Myron S
Fraser, Christophe
Eshleman, Susan H - Abstract:
- Abstract: Background: Phylogenetic analysis can be used to assess human immunodeficiency virus (HIV) transmission in populations. We inferred the direction of HIV transmission using whole-genome HIV sequences from couples with known linked infection and known transmission direction. Methods: Complete next-generation sequencing (NGS) data were obtained for 105 unique index–partner sample pairs from 32 couples enrolled in the HIV Prevention Trials Network (HPTN) 052 study (up to 2 samples/person). Index samples were obtained up to 5.5 years before partner infection; partner samples were obtained near the time of seroconversion. The bioinformatics method, phyloscanner, was used to infer transmission direction. Analyses were performed using samples from individual sample pairs, samples from all couples (1 sample/person; group analysis), and all available samples (multisample group analysis). Analysis was also performed using NGS data from defined regions of the HIV genome ( gag, pol, env ). Results: Using whole-genome NGS data, transmission direction was inferred correctly (index to partner) for 98 of 105 (93.3%) of the individual sample pairs, 99 of 105 (94.3%) sample pairs using group analysis, and 31 of the 32 couples (96.9%) using multisample group analysis. There were no cases where the incorrect transmission direction (partner to index) was inferred. The accuracy of the method was higher with greater time between index and partner sample collection. Pol region sequencesAbstract: Background: Phylogenetic analysis can be used to assess human immunodeficiency virus (HIV) transmission in populations. We inferred the direction of HIV transmission using whole-genome HIV sequences from couples with known linked infection and known transmission direction. Methods: Complete next-generation sequencing (NGS) data were obtained for 105 unique index–partner sample pairs from 32 couples enrolled in the HIV Prevention Trials Network (HPTN) 052 study (up to 2 samples/person). Index samples were obtained up to 5.5 years before partner infection; partner samples were obtained near the time of seroconversion. The bioinformatics method, phyloscanner, was used to infer transmission direction. Analyses were performed using samples from individual sample pairs, samples from all couples (1 sample/person; group analysis), and all available samples (multisample group analysis). Analysis was also performed using NGS data from defined regions of the HIV genome ( gag, pol, env ). Results: Using whole-genome NGS data, transmission direction was inferred correctly (index to partner) for 98 of 105 (93.3%) of the individual sample pairs, 99 of 105 (94.3%) sample pairs using group analysis, and 31 of the 32 couples (96.9%) using multisample group analysis. There were no cases where the incorrect transmission direction (partner to index) was inferred. The accuracy of the method was higher with greater time between index and partner sample collection. Pol region sequences performed better than env or gag sequences for inferring transmission direction. Conclusions: We demonstrate the potential of a phylogenetic method to infer the direction of HIV transmission between 2 individuals using whole-genome and pol NGS data. Abstract : We demonstrated that use of ultra-deep, whole-genome HIV sequence data for phyloscanner analysis improves accuracy for inferring the direction of HIV transmission. Pol region sequences performed better than env/gag sequences for inferring transmission direction. … (more)
- Is Part Of:
- Clinical infectious diseases. Volume 72:Number 1(2021)
- Journal:
- Clinical infectious diseases
- Issue:
- Volume 72:Number 1(2021)
- Issue Display:
- Volume 72, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 72
- Issue:
- 1
- Issue Sort Value:
- 2021-0072-0001-0000
- Page Start:
- 30
- Page End:
- 37
- Publication Date:
- 2020-02-07
- Subjects:
- HIV -- direction of transmission -- phylogenetic analysis -- next-generation sequencing -- HPTN 052
Communicable diseases -- Periodicals
616.905 - Journal URLs:
- http://cid.oxfordjournals.org ↗
http://ukcatalogue.oup.com/ ↗
http://www.journals.uchicago.edu/CID/journal ↗
http://www.jstor.org/journals/10584838.html ↗ - DOI:
- 10.1093/cid/ciz1247 ↗
- Languages:
- English
- ISSNs:
- 1058-4838
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3286.293860
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15747.xml