Molecular characterization of HCV in a Swedish county over 8 years (2002–2009) reveals distinct transmission patterns

Background: Hepatitis C virus (HCV) is a major public health concern and data on its molecular epidemiology in Sweden is scarce. We carried out an 8-year population-based study of newly diagnosed HCV cases in one of Sweden's centrally situated counties, Södermanland (D-county). The aim was to c...

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Main Authors: Josefine Ederth, Camilla Jern, Helené Norder, Lars Magnius, Erik Alm, Björg Kleverman Rognsvåg, Carl-Gustaf Sundin, Mia Brytting, Joakim Esbjörnsson, Mattias Mild
Format: Article
Language:English
Published: Taylor & Francis Group 2016-02-01
Series:Infection Ecology & Epidemiology
Subjects:
Online Access:http://www.infectionecologyandepidemiology.net/index.php/iee/article/view/30670/pdf_53
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spelling doaj-0490cd7694ea48ebace31be9b0aef4a82020-11-25T00:03:23ZengTaylor & Francis GroupInfection Ecology & Epidemiology2000-86862016-02-01601910.3402/iee.v6.3067030670Molecular characterization of HCV in a Swedish county over 8 years (2002–2009) reveals distinct transmission patternsJosefine Ederth0Camilla Jern1Helené Norder2Lars Magnius3Erik Alm4Björg Kleverman Rognsvåg5Carl-Gustaf Sundin6Mia Brytting7Joakim Esbjörnsson8Mattias Mild9 Department of Microbiology, Public Health Agency of Sweden, Solna, Sweden Stockholm South General Hospital, Stockholm, Sweden Department of Infectious Medicine, Institute of Biomedicine at Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden Department of Infectious Medicine, Institute of Biomedicine at Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden Department of Microbiology, Public Health Agency of Sweden, Solna, Sweden Unilabs AB, Mälarsjukhuset Hospital, Eskilstuna, Sweden Department of Communicable Disease Control, Södermanland County, Sweden Department of Microbiology, Public Health Agency of Sweden, Solna, Sweden Department of Microbiology Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden Department of Microbiology, Public Health Agency of Sweden, Solna, SwedenBackground: Hepatitis C virus (HCV) is a major public health concern and data on its molecular epidemiology in Sweden is scarce. We carried out an 8-year population-based study of newly diagnosed HCV cases in one of Sweden's centrally situated counties, Södermanland (D-county). The aim was to characterize the HCV strains circulating, analyze their genetic relatedness to detect networks, and in combination with demographic data learn more about transmission. Methods: Molecular analyses of serum samples from 91% (N=557) of all newly notified cases in D-county, 2002–2009, were performed. Phylogenetic analysis (NS5B gene, 300 bp) was linked to demographic data from the national surveillance database, SmiNet, to characterize D-county transmission clusters. The linear-by-linear association test (LBL) was used to analyze trends over time. Results: The most prevalent subtypes were 1a (38%) and 3a (34%). Subtype 1a was most prevalent among cases transmitted via sexual contact, via contaminated blood, or blood products, while subtype 3a was most prevalent among people who inject drugs (PWIDs). Phylogenetic analysis revealed that the subtype 3a sequences formed more and larger transmission clusters (50% of the sequences clustered), while the 1a sequences formed smaller clusters (19% of the sequences clustered), possibly suggesting different epidemics. Conclusion: We found different transmission patterns in D-county which may, from a public health perspective, have implications for how to control virus infections by targeted interventions.http://www.infectionecologyandepidemiology.net/index.php/iee/article/view/30670/pdf_53hepatitis C virusgenotypesubtypetransmissionnetworksclusters
collection DOAJ
language English
format Article
sources DOAJ
author Josefine Ederth
Camilla Jern
Helené Norder
Lars Magnius
Erik Alm
Björg Kleverman Rognsvåg
Carl-Gustaf Sundin
Mia Brytting
Joakim Esbjörnsson
Mattias Mild
spellingShingle Josefine Ederth
Camilla Jern
Helené Norder
Lars Magnius
Erik Alm
Björg Kleverman Rognsvåg
Carl-Gustaf Sundin
Mia Brytting
Joakim Esbjörnsson
Mattias Mild
Molecular characterization of HCV in a Swedish county over 8 years (2002–2009) reveals distinct transmission patterns
Infection Ecology & Epidemiology
hepatitis C virus
genotype
subtype
transmission
networks
clusters
author_facet Josefine Ederth
Camilla Jern
Helené Norder
Lars Magnius
Erik Alm
Björg Kleverman Rognsvåg
Carl-Gustaf Sundin
Mia Brytting
Joakim Esbjörnsson
Mattias Mild
author_sort Josefine Ederth
title Molecular characterization of HCV in a Swedish county over 8 years (2002–2009) reveals distinct transmission patterns
title_short Molecular characterization of HCV in a Swedish county over 8 years (2002–2009) reveals distinct transmission patterns
title_full Molecular characterization of HCV in a Swedish county over 8 years (2002–2009) reveals distinct transmission patterns
title_fullStr Molecular characterization of HCV in a Swedish county over 8 years (2002–2009) reveals distinct transmission patterns
title_full_unstemmed Molecular characterization of HCV in a Swedish county over 8 years (2002–2009) reveals distinct transmission patterns
title_sort molecular characterization of hcv in a swedish county over 8 years (2002–2009) reveals distinct transmission patterns
publisher Taylor & Francis Group
series Infection Ecology & Epidemiology
issn 2000-8686
publishDate 2016-02-01
description Background: Hepatitis C virus (HCV) is a major public health concern and data on its molecular epidemiology in Sweden is scarce. We carried out an 8-year population-based study of newly diagnosed HCV cases in one of Sweden's centrally situated counties, Södermanland (D-county). The aim was to characterize the HCV strains circulating, analyze their genetic relatedness to detect networks, and in combination with demographic data learn more about transmission. Methods: Molecular analyses of serum samples from 91% (N=557) of all newly notified cases in D-county, 2002–2009, were performed. Phylogenetic analysis (NS5B gene, 300 bp) was linked to demographic data from the national surveillance database, SmiNet, to characterize D-county transmission clusters. The linear-by-linear association test (LBL) was used to analyze trends over time. Results: The most prevalent subtypes were 1a (38%) and 3a (34%). Subtype 1a was most prevalent among cases transmitted via sexual contact, via contaminated blood, or blood products, while subtype 3a was most prevalent among people who inject drugs (PWIDs). Phylogenetic analysis revealed that the subtype 3a sequences formed more and larger transmission clusters (50% of the sequences clustered), while the 1a sequences formed smaller clusters (19% of the sequences clustered), possibly suggesting different epidemics. Conclusion: We found different transmission patterns in D-county which may, from a public health perspective, have implications for how to control virus infections by targeted interventions.
topic hepatitis C virus
genotype
subtype
transmission
networks
clusters
url http://www.infectionecologyandepidemiology.net/index.php/iee/article/view/30670/pdf_53
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