Molecular Epidemiology of the HIV Epidemic in Three German Metropolitan Regions – Cologne/Bonn, Munich and Hannover, 1999–2016
Abstract Using HIV sequence data to characterize clusters of HIV transmission may provide insight into the epidemic. Phylogenetic and network analyses were performed to infer putative relationships between HIV-1 partial pol sequences from 2,774 individuals receiving care in three German regions betw...
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oai:doaj.org-article:2cd82b28d3e54b228fee034c336aa1d02021-12-02T15:09:10ZMolecular Epidemiology of the HIV Epidemic in Three German Metropolitan Regions – Cologne/Bonn, Munich and Hannover, 1999–201610.1038/s41598-018-25004-82045-2322https://doaj.org/article/2cd82b28d3e54b228fee034c336aa1d02018-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-25004-8https://doaj.org/toc/2045-2322Abstract Using HIV sequence data to characterize clusters of HIV transmission may provide insight into the epidemic. Phylogenetic and network analyses were performed to infer putative relationships between HIV-1 partial pol sequences from 2,774 individuals receiving care in three German regions between 1999–2016. The regions have in common that they host some of the largest annual festivals in Europe (Carnival and Oktoberfest). Putative links with sequences (n = 150,396) from the Los Alamos HIV Sequence database were evaluated. A total of 595/2,774 (21.4%) sequences linked with at least one other sequence, forming 184 transmission clusters. Clustering individuals were significantly more likely to be younger, male, and report sex with men as their main risk factor (p < 0.001 each). Most clusters (77.2%) consisted exclusively of men; 41 (28.9%) of these included men reporting sex with women. Thirty-two clusters (17.4%) contained sequences from more than one region; clustering men were significantly more likely to be in a position bridging regional HIV epidemics than clustering women (p = 0.027). We found 236 clusters linking 547 sequences from our sample with sequences from the Los Alamos database (n = 1407; 31% from other German centres). These results highlight the pitfalls of focusing HIV prevention efforts on specific risk groups or specific locales.Melanie StecherAntoine ChaillonJosef EberleGeorg M. N. BehrensAnna-Maria Eis-HübingerClara LehmannAlexandra JablonkaJohannes BognerGerd FätkenheuerChristoph D. SpinnerJan-Christian WasmuthRolf KaiserSanjay R. MehtaJoerg Janne VehreschildMartin HoeniglNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-9 (2018) |
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Medicine R Science Q Melanie Stecher Antoine Chaillon Josef Eberle Georg M. N. Behrens Anna-Maria Eis-Hübinger Clara Lehmann Alexandra Jablonka Johannes Bogner Gerd Fätkenheuer Christoph D. Spinner Jan-Christian Wasmuth Rolf Kaiser Sanjay R. Mehta Joerg Janne Vehreschild Martin Hoenigl Molecular Epidemiology of the HIV Epidemic in Three German Metropolitan Regions – Cologne/Bonn, Munich and Hannover, 1999–2016 |
description |
Abstract Using HIV sequence data to characterize clusters of HIV transmission may provide insight into the epidemic. Phylogenetic and network analyses were performed to infer putative relationships between HIV-1 partial pol sequences from 2,774 individuals receiving care in three German regions between 1999–2016. The regions have in common that they host some of the largest annual festivals in Europe (Carnival and Oktoberfest). Putative links with sequences (n = 150,396) from the Los Alamos HIV Sequence database were evaluated. A total of 595/2,774 (21.4%) sequences linked with at least one other sequence, forming 184 transmission clusters. Clustering individuals were significantly more likely to be younger, male, and report sex with men as their main risk factor (p < 0.001 each). Most clusters (77.2%) consisted exclusively of men; 41 (28.9%) of these included men reporting sex with women. Thirty-two clusters (17.4%) contained sequences from more than one region; clustering men were significantly more likely to be in a position bridging regional HIV epidemics than clustering women (p = 0.027). We found 236 clusters linking 547 sequences from our sample with sequences from the Los Alamos database (n = 1407; 31% from other German centres). These results highlight the pitfalls of focusing HIV prevention efforts on specific risk groups or specific locales. |
format |
article |
author |
Melanie Stecher Antoine Chaillon Josef Eberle Georg M. N. Behrens Anna-Maria Eis-Hübinger Clara Lehmann Alexandra Jablonka Johannes Bogner Gerd Fätkenheuer Christoph D. Spinner Jan-Christian Wasmuth Rolf Kaiser Sanjay R. Mehta Joerg Janne Vehreschild Martin Hoenigl |
author_facet |
Melanie Stecher Antoine Chaillon Josef Eberle Georg M. N. Behrens Anna-Maria Eis-Hübinger Clara Lehmann Alexandra Jablonka Johannes Bogner Gerd Fätkenheuer Christoph D. Spinner Jan-Christian Wasmuth Rolf Kaiser Sanjay R. Mehta Joerg Janne Vehreschild Martin Hoenigl |
author_sort |
Melanie Stecher |
title |
Molecular Epidemiology of the HIV Epidemic in Three German Metropolitan Regions – Cologne/Bonn, Munich and Hannover, 1999–2016 |
title_short |
Molecular Epidemiology of the HIV Epidemic in Three German Metropolitan Regions – Cologne/Bonn, Munich and Hannover, 1999–2016 |
title_full |
Molecular Epidemiology of the HIV Epidemic in Three German Metropolitan Regions – Cologne/Bonn, Munich and Hannover, 1999–2016 |
title_fullStr |
Molecular Epidemiology of the HIV Epidemic in Three German Metropolitan Regions – Cologne/Bonn, Munich and Hannover, 1999–2016 |
title_full_unstemmed |
Molecular Epidemiology of the HIV Epidemic in Three German Metropolitan Regions – Cologne/Bonn, Munich and Hannover, 1999–2016 |
title_sort |
molecular epidemiology of the hiv epidemic in three german metropolitan regions – cologne/bonn, munich and hannover, 1999–2016 |
publisher |
Nature Portfolio |
publishDate |
2018 |
url |
https://doaj.org/article/2cd82b28d3e54b228fee034c336aa1d0 |
work_keys_str_mv |
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