Short Communication: HIV-1 Transmission Networks Across South Korea

Mi Young Ahn; Joel O. Wertheim; Woo Joo Kim; Shin Woo Kim; Jin Soo Lee; Hea Won Ann; Yongduk Jeon; Jin Young Ahn; Je Eun Song; Dong Hyun Oh; Yong Chan Kim; Eun Jin Kim; In Young Jung; Moo Hyun Kim; Wooyoung Jeong; Su Jin Jeong; Nam Su Ku; June Myung Kim; Davey M. Smith; Jun Yong Choi

doi:10.1089/aid.2016.0212

Short Communication: HIV-1 Transmission Networks Across South Korea

Mi Young Ahn, Joel O. Wertheim, Woo Joo Kim, Shin Woo Kim, Jin Soo Lee, Hea Won Ann, Yongduk Jeon, Jin Young Ahn, Je Eun Song, Dong Hyun Oh, Yong Chan Kim, Eun Jin Kim, In Young Jung, Moo Hyun Kim, Wooyoung Jeong, Su Jin Jeong, Nam Su Ku, June Myung Kim, Davey M. Smith, Jun Yong Choi

Department of Internal Medicine

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

Molecular epidemiology can help clarify the properties and dynamics of HI-1 transmission networks in both global and regional scales. We studied 143 HIV-1-infected individuals recruited from four medical centers of three cities in South Korea between April 2013 and May 2014. HIV-1 env V3 sequence data were generated (337-793 bp) and analyzed using a pairwise distance-based clustering approach to infer putative transmission networks. Participants whose viruses were ≤2.0% divergent according to Tamura-Nei 93 genetic distance were defined as clustering. We collected demographic, risk, and clinical data and analyzed these data in relation to clustering. Among 143 participants, we identified nine putative transmission clusters of different sizes (range 2-4 participants). The reported risk factor of participants were concordant in only one network involving two participants, that is, both individuals reported homosexual sex as their risk factor. The participants in the other eight networks did not report concordant risk factors, although they were phylogenetically linked. About half of the participants refused to report their risk factor. Overall, molecular epidemiology provides more information to understand local transmission networks and the risks associated with these networks.

Original language	English
Pages (from-to)	827-831
Number of pages	5
Journal	AIDS Research and Human Retroviruses
Volume	33
Issue number	8
DOIs	https://doi.org/10.1089/aid.2016.0212
Publication status	Published - 2017 Aug

Bibliographical note

Funding Information:
This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (NRF-2013R1A1A2005412), a Chronic Infectious Disease Cohort grant (4800-4859-304-260) from the Korea Centers for Disease Control and Prevention, BioNano Health-Guard Research Center funded by the Ministry of Science, ICT, and Future Planning of Korea as a Global Frontier Project (grant H-GUARD-2013M3A6B2078953), a grant from the Ministry of Health & Welfare, Republic of Korea (grant number: HI14C1324), a faculty research grant of Yonsei University College of Medicine (6-2015-0153) and NIH (grant P30 AI036214, AI100665, DA034978, AI036214 and K01AI110181).

Publisher Copyright:
© 2017 Mary Ann Liebert, Inc.

All Science Journal Classification (ASJC) codes

Infectious Diseases
Virology
Immunology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1089/aid.2016.0212

Cite this

Ahn, M. Y., Wertheim, J. O., Kim, W. J., Kim, S. W., Lee, J. S., Ann, H. W., Jeon, Y., Ahn, J. Y., Song, J. E., Oh, D. H., Kim, Y. C., Kim, E. J., Jung, I. Y., Kim, M. H., Jeong, W., Jeong, S. J., Ku, N. S., Kim, J. M., Smith, D. M., & Choi, J. Y. (2017). Short Communication: HIV-1 Transmission Networks Across South Korea. AIDS Research and Human Retroviruses, 33(8), 827-831. https://doi.org/10.1089/aid.2016.0212

@article{044b8a0ce704478b917ae33f13b1a3d3,

title = "Short Communication: HIV-1 Transmission Networks Across South Korea",

abstract = "Molecular epidemiology can help clarify the properties and dynamics of HI-1 transmission networks in both global and regional scales. We studied 143 HIV-1-infected individuals recruited from four medical centers of three cities in South Korea between April 2013 and May 2014. HIV-1 env V3 sequence data were generated (337-793 bp) and analyzed using a pairwise distance-based clustering approach to infer putative transmission networks. Participants whose viruses were ≤2.0% divergent according to Tamura-Nei 93 genetic distance were defined as clustering. We collected demographic, risk, and clinical data and analyzed these data in relation to clustering. Among 143 participants, we identified nine putative transmission clusters of different sizes (range 2-4 participants). The reported risk factor of participants were concordant in only one network involving two participants, that is, both individuals reported homosexual sex as their risk factor. The participants in the other eight networks did not report concordant risk factors, although they were phylogenetically linked. About half of the participants refused to report their risk factor. Overall, molecular epidemiology provides more information to understand local transmission networks and the risks associated with these networks.",

author = "Ahn, {Mi Young} and Wertheim, {Joel O.} and Kim, {Woo Joo} and Kim, {Shin Woo} and Lee, {Jin Soo} and Ann, {Hea Won} and Yongduk Jeon and Ahn, {Jin Young} and Song, {Je Eun} and Oh, {Dong Hyun} and Kim, {Yong Chan} and Kim, {Eun Jin} and Jung, {In Young} and Kim, {Moo Hyun} and Wooyoung Jeong and Jeong, {Su Jin} and Ku, {Nam Su} and Kim, {June Myung} and Smith, {Davey M.} and Choi, {Jun Yong}",

note = "Funding Information: This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (NRF-2013R1A1A2005412), a Chronic Infectious Disease Cohort grant (4800-4859-304-260) from the Korea Centers for Disease Control and Prevention, BioNano Health-Guard Research Center funded by the Ministry of Science, ICT, and Future Planning of Korea as a Global Frontier Project (grant H-GUARD-2013M3A6B2078953), a grant from the Ministry of Health & Welfare, Republic of Korea (grant number: HI14C1324), a faculty research grant of Yonsei University College of Medicine (6-2015-0153) and NIH (grant P30 AI036214, AI100665, DA034978, AI036214 and K01AI110181). Publisher Copyright: {\textcopyright} 2017 Mary Ann Liebert, Inc.",

year = "2017",

month = aug,

doi = "10.1089/aid.2016.0212",

language = "English",

volume = "33",

pages = "827--831",

journal = "AIDS Research and Human Retroviruses",

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publisher = "Mary Ann Liebert Inc.",

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Ahn, MY, Wertheim, JO, Kim, WJ, Kim, SW, Lee, JS, Ann, HW, Jeon, Y, Ahn, JY, Song, JE, Oh, DH, Kim, YC, Kim, EJ, Jung, IY, Kim, MH, Jeong, W, Jeong, SJ, Ku, NS, Kim, JM, Smith, DM & Choi, JY 2017, 'Short Communication: HIV-1 Transmission Networks Across South Korea', AIDS Research and Human Retroviruses, vol. 33, no. 8, pp. 827-831. https://doi.org/10.1089/aid.2016.0212

TY - JOUR

T1 - Short Communication

T2 - HIV-1 Transmission Networks Across South Korea

AU - Ahn, Mi Young

AU - Wertheim, Joel O.

AU - Kim, Woo Joo

AU - Kim, Shin Woo

AU - Lee, Jin Soo

AU - Ann, Hea Won

AU - Jeon, Yongduk

AU - Ahn, Jin Young

AU - Song, Je Eun

AU - Oh, Dong Hyun

AU - Kim, Yong Chan

AU - Kim, Eun Jin

AU - Jung, In Young

AU - Kim, Moo Hyun

AU - Jeong, Wooyoung

AU - Jeong, Su Jin

AU - Ku, Nam Su

AU - Kim, June Myung

AU - Smith, Davey M.

AU - Choi, Jun Yong

N1 - Funding Information: This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (NRF-2013R1A1A2005412), a Chronic Infectious Disease Cohort grant (4800-4859-304-260) from the Korea Centers for Disease Control and Prevention, BioNano Health-Guard Research Center funded by the Ministry of Science, ICT, and Future Planning of Korea as a Global Frontier Project (grant H-GUARD-2013M3A6B2078953), a grant from the Ministry of Health & Welfare, Republic of Korea (grant number: HI14C1324), a faculty research grant of Yonsei University College of Medicine (6-2015-0153) and NIH (grant P30 AI036214, AI100665, DA034978, AI036214 and K01AI110181). Publisher Copyright: © 2017 Mary Ann Liebert, Inc.

PY - 2017/8

Y1 - 2017/8

N2 - Molecular epidemiology can help clarify the properties and dynamics of HI-1 transmission networks in both global and regional scales. We studied 143 HIV-1-infected individuals recruited from four medical centers of three cities in South Korea between April 2013 and May 2014. HIV-1 env V3 sequence data were generated (337-793 bp) and analyzed using a pairwise distance-based clustering approach to infer putative transmission networks. Participants whose viruses were ≤2.0% divergent according to Tamura-Nei 93 genetic distance were defined as clustering. We collected demographic, risk, and clinical data and analyzed these data in relation to clustering. Among 143 participants, we identified nine putative transmission clusters of different sizes (range 2-4 participants). The reported risk factor of participants were concordant in only one network involving two participants, that is, both individuals reported homosexual sex as their risk factor. The participants in the other eight networks did not report concordant risk factors, although they were phylogenetically linked. About half of the participants refused to report their risk factor. Overall, molecular epidemiology provides more information to understand local transmission networks and the risks associated with these networks.

AB - Molecular epidemiology can help clarify the properties and dynamics of HI-1 transmission networks in both global and regional scales. We studied 143 HIV-1-infected individuals recruited from four medical centers of three cities in South Korea between April 2013 and May 2014. HIV-1 env V3 sequence data were generated (337-793 bp) and analyzed using a pairwise distance-based clustering approach to infer putative transmission networks. Participants whose viruses were ≤2.0% divergent according to Tamura-Nei 93 genetic distance were defined as clustering. We collected demographic, risk, and clinical data and analyzed these data in relation to clustering. Among 143 participants, we identified nine putative transmission clusters of different sizes (range 2-4 participants). The reported risk factor of participants were concordant in only one network involving two participants, that is, both individuals reported homosexual sex as their risk factor. The participants in the other eight networks did not report concordant risk factors, although they were phylogenetically linked. About half of the participants refused to report their risk factor. Overall, molecular epidemiology provides more information to understand local transmission networks and the risks associated with these networks.

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Short Communication: HIV-1 Transmission Networks Across South Korea

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

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