Exploring HIV-1 transmission dynamics by combining phylogenetic analysis and infection timing

Chris Verhofstede; Virginie Mortier; Kenny Dauwe; Steven Callens; Jessika Deblonde; Geraldine Dessilly; Marie-Luce Delforge; Katrien Fransen; Andre Sasse; Karolien Stoffels; Dominique Van Beckhoven; Fien Vanroye; Dolores Vaira; Ellen Vancutsem; Kristel Van Laethem

doi:10.3390/v11121096

Exploring HIV-1 transmission dynamics by combining phylogenetic analysis and infection timing

Chris Verhofstede, Virginie Mortier, Kenny Dauwe, Steven Callens, Jessika Deblonde, Geraldine Dessilly, Marie-Luce Delforge, Katrien Fransen, Andre Sasse, Karolien Stoffels, Dominique Van Beckhoven, Fien Vanroye, Dolores Vaira, Ellen Vancutsem, Kristel Van Laethem

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Abstract

HIV-1 pol sequences obtained through baseline drug resistance testing of patients newly diagnosed between 2013 and 2017 were analyzed for genetic similarity. For 927 patients the information on genetic similarity was combined with demographic data and with information on the recency of infection. Overall, 48.3% of the patients were genetically linked with 11.4% belonging to a pair and 36.9% involved in a cluster of >= 3 members. The percentage of early diagnosed (4 months after infection increasing the opportunities for onward transmission. Prevention of local infection should focus on earlier diagnosis and protection of the still uninfected members of sexual networks with human immunodeficiency virus (HIV)-infected members.

Original language	English
Article number	1096
Journal	Viruses-Basel
Volume	11
Issue number	12
Number of pages	13
DOIs	https://doi.org/10.3390/v11121096
Publication status	Published - 2019

Keywords

human immunodeficiency virus (HIV)
transmission dynamics
transmission networks and clusters
molecular epidemiology
phylogenetic analysis
prevention
YOUNG MEN
SEX
EPIDEMIC
PERFORMANCE
SPREAD
DETERMINANTS
NETWORKS
INSIGHTS
CHICAGO
EVENTS

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10.3390/v11121096Licence: CC BY

2019viru1096Final published version, 965 KBLicence: CC BY

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Verhofstede, C., Mortier, V., Dauwe, K., Callens, S., Deblonde, J., Dessilly, G., Delforge, M.-L., Fransen, K., Sasse, A., Stoffels, K., Van Beckhoven, D., Vanroye, F., Vaira, D., Vancutsem, E., & Van Laethem, K. (2019). Exploring HIV-1 transmission dynamics by combining phylogenetic analysis and infection timing. Viruses-Basel, 11(12), Article 1096. https://doi.org/10.3390/v11121096

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abstract = "HIV-1 pol sequences obtained through baseline drug resistance testing of patients newly diagnosed between 2013 and 2017 were analyzed for genetic similarity. For 927 patients the information on genetic similarity was combined with demographic data and with information on the recency of infection. Overall, 48.3% of the patients were genetically linked with 11.4% belonging to a pair and 36.9% involved in a cluster of >= 3 members. The percentage of early diagnosed (4 months after infection increasing the opportunities for onward transmission. Prevention of local infection should focus on earlier diagnosis and protection of the still uninfected members of sexual networks with human immunodeficiency virus (HIV)-infected members.",

keywords = "human immunodeficiency virus (HIV), transmission dynamics, transmission networks and clusters, molecular epidemiology, phylogenetic analysis, prevention, YOUNG MEN, SEX, EPIDEMIC, PERFORMANCE, SPREAD, DETERMINANTS, NETWORKS, INSIGHTS, CHICAGO, EVENTS",

author = "Chris Verhofstede and Virginie Mortier and Kenny Dauwe and Steven Callens and Jessika Deblonde and Geraldine Dessilly and Marie-Luce Delforge and Katrien Fransen and Andre Sasse and Karolien Stoffels and {Van Beckhoven}, Dominique and Fien Vanroye and Dolores Vaira and Ellen Vancutsem and {Van Laethem}, Kristel",

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Verhofstede, C, Mortier, V, Dauwe, K, Callens, S, Deblonde, J, Dessilly, G, Delforge, M-L, Fransen, K, Sasse, A, Stoffels, K, Van Beckhoven, D, Vanroye, F, Vaira, D, Vancutsem, E & Van Laethem, K 2019, 'Exploring HIV-1 transmission dynamics by combining phylogenetic analysis and infection timing', Viruses-Basel, vol. 11, no. 12, 1096. https://doi.org/10.3390/v11121096

TY - JOUR

T1 - Exploring HIV-1 transmission dynamics by combining phylogenetic analysis and infection timing

AU - Verhofstede, Chris

AU - Mortier, Virginie

AU - Dauwe, Kenny

AU - Callens, Steven

AU - Deblonde, Jessika

AU - Dessilly, Geraldine

AU - Delforge, Marie-Luce

AU - Fransen, Katrien

AU - Sasse, Andre

AU - Stoffels, Karolien

AU - Van Beckhoven, Dominique

AU - Vanroye, Fien

AU - Vaira, Dolores

AU - Vancutsem, Ellen

AU - Van Laethem, Kristel

N1 - FTX; DOAJ; (CC BY 4.0)

PY - 2019

Y1 - 2019

N2 - HIV-1 pol sequences obtained through baseline drug resistance testing of patients newly diagnosed between 2013 and 2017 were analyzed for genetic similarity. For 927 patients the information on genetic similarity was combined with demographic data and with information on the recency of infection. Overall, 48.3% of the patients were genetically linked with 11.4% belonging to a pair and 36.9% involved in a cluster of >= 3 members. The percentage of early diagnosed (4 months after infection increasing the opportunities for onward transmission. Prevention of local infection should focus on earlier diagnosis and protection of the still uninfected members of sexual networks with human immunodeficiency virus (HIV)-infected members.

AB - HIV-1 pol sequences obtained through baseline drug resistance testing of patients newly diagnosed between 2013 and 2017 were analyzed for genetic similarity. For 927 patients the information on genetic similarity was combined with demographic data and with information on the recency of infection. Overall, 48.3% of the patients were genetically linked with 11.4% belonging to a pair and 36.9% involved in a cluster of >= 3 members. The percentage of early diagnosed (4 months after infection increasing the opportunities for onward transmission. Prevention of local infection should focus on earlier diagnosis and protection of the still uninfected members of sexual networks with human immunodeficiency virus (HIV)-infected members.

KW - human immunodeficiency virus (HIV)

KW - transmission dynamics

KW - transmission networks and clusters

KW - molecular epidemiology

KW - phylogenetic analysis

KW - prevention

KW - YOUNG MEN

KW - SEX

KW - EPIDEMIC

KW - PERFORMANCE

KW - SPREAD

KW - DETERMINANTS

KW - NETWORKS

KW - INSIGHTS

KW - CHICAGO

KW - EVENTS

U2 - 10.3390/v11121096

DO - 10.3390/v11121096

M3 - A1: Web of Science-article

VL - 11

JO - Viruses-Basel

JF - Viruses-Basel

IS - 12

M1 - 1096

ER -

Exploring HIV-1 transmission dynamics by combining phylogenetic analysis and infection timing

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Keywords

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