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Short Communication: HIV-1 Transmission Networks Across South Korea

Authors
 Ahn Mi Young  ;  Wertheim Joel O.  ;  Kim Woo Joo  ;  Kim Shin-Woo  ;  Lee Jin Soo  ;  Ann Hea Won  ;  Jeon Yongduk  ;  Ahn Jin Young  ;  Song Je Eun  ;  Oh Dong Hyun  ;  Kim Yong Chan  ;  Kim Eun Jin  ;  Jung In Young  ;  Kim Moo Hyun  ;  Jeong Wooyoung  ;  Jeong Su Jin  ;  Ku Nam Su  ;  Kim June Myung  ;  Smith Davey M.  ;  Choi Jun Yong 
Citation
 AIDS Research and Human Retroviruses, Vol.33(8) : 827-831, 2017 
Journal Title
 AIDS Research and Human Retroviruses 
ISSN
 0889-2229 
Issue Date
2017
MeSH
Adult ; Aged ; Cities/epidemiology ; Cluster Analysis ; Disease Transmission, Infectious* ; Female ; Genotyping Techniques ; HIV Infections/epidemiology* ; HIV Infections/transmission* ; HIV-1/classification ; HIV-1/genetics ; HIV-1/isolation & purification* ; Humans ; Male ; Middle Aged ; Molecular Epidemiology ; Prospective Studies ; Republic of Korea/epidemiology ; Risk Factors ; Young Adult
Keywords
HIV transmission network ; HIV-1 env V3 sequence ; South Korea
Abstract
Molecular epidemiology can help clarify the properties and dynamics of HIV-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.
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/160624
Full Text
https://www.liebertpub.com/doi/10.1089/aid.2016.0212
DOI
10.1089/aid.2016.0212
Appears in Collections:
1. Journal Papers (연구논문) > 1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실)
Yonsei Authors
구남수(Ku, Nam Su) ORCID logo https://orcid.org/0000-0002-9717-4327
김용찬(Kim, Yong Chan)
김은진(Kim, Eun Jin)
김준명(Kim, June Myung)
송제은(Song, Je Eun)
안미영(Ahn, Mi Young)
오동현(Oh, Dong Hyun)
전용덕(Jeon, Yong Duk)
정수진(Jeong, Su Jin)
정우용(Jeong, Wooyong)
정인영(Jung, In Young)
최준용(Choi, Jun Yong) ORCID logo https://orcid.org/0000-0002-2775-3315
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