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Short Communication: HIV-1 Transmission Networks Across South Korea

 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 
 AIDS Research and Human Retroviruses, Vol.33(8) : 827-831, 2017 
Journal Title
 AIDS Research and Human Retroviruses 
Issue Date
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
HIV transmission network ; HIV-1 env V3 sequence ; South Korea
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.
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1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Ku, Nam Su(구남수) ORCID logo https://orcid.org/0000-0002-9717-4327
Kim, Yong Chan(김용찬)
Kim, Eun Jin(김은진)
Kim, June Myung(김준명)
Song, Je Eun(송제은)
Ahn, Mi Young(안미영)
Oh, Dong Hyun(오동현)
Jeon, Yong Duk(전용덕)
Jeong, Su Jin(정수진) ORCID logo https://orcid.org/0000-0003-4025-4542
Jeong, Wooyong(정우용)
Jung, In Young(정인영)
Choi, Jun Yong(최준용) ORCID logo https://orcid.org/0000-0002-2775-3315
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