Identification of Genetically Related HCV Infections Among Self-Described Injecting Partnerships. (27th August 2021)

• Record Type: Journal Article
• Authors: Tully, Damien C; Hahn, Judith A; Bean, David J; Evans, Jennifer L; Morris, Meghan D; Page, Kimberly; Allen, Todd M
• Is Part Of: Clinical infectious diseases. Volume 74:Number 6(2022)
• Page Start: 993
• Page End: 1003
• Publication Date: 2021-08-27
• Subjects: hepatitis C virus -- phylogenetic -- deep sequencing -- injection drug use -- molecular epidemiology; Communicable diseases -- Periodicals; 616.905
• DOI: 10.1093/cid/ciab596
• Languages: English
• ISSNs: 1058-4838

Abstract

Abstract: Background: The current opioid epidemic across the United States has fueled a surge in the rate of new hepatitis C virus (HCV) infections among young persons who inject drugs (PWIDs). Paramount to interrupting transmission is targeting these high-risk populations and understanding the underlying network structures facilitating transmission within these communities. Methods: Deep sequencing data were obtained for 52 participants from 32 injecting partnerships enrolled in the U-Find-Out (UFO) Partner Study, which is a prospective study of self-described injecting dyad partnerships from a large community-based study of HCV infection in young adult PWIDs from San Francisco. Phylogenetically linked transmission events were identified using traditional genetic-distance measures and viral deep sequence phylogenies reconstructed to determine the statistical support of inferences and the direction of transmission within partnerships. Results: Using deep sequencing data, we found that 12 of 32 partnerships were genetically similar and clustered. Three additional phylogenetic clusters were found describing novel putative transmission links outside of the injecting relationship. Transmission direction was inferred correctly for 5 partnerships with the incorrect transmission direction inferred in more than 50% of cases. Notably, we observed that phylogenetic linkage was most often associated with a lower number of network partners and involvement in a sexual relationship. Conclusions: Deep sequencing of HCV among self-described injecting partnerships demonstrates that the majority of transmission events originate from outside of the injecting partnership. Furthermore, these findings caution that phylogenetic methods may be unable to routinely infer the direction of transmission among PWIDs especially when transmission events occur in rapid succession within high-risk networks. Abstract : Deep sequencing of hepatitis C virus (HCV) from 32 self-described injecting partnerships revealed that only 37% were genetically similar and inferring the direction of transmission using phylogenetic tools is challenging as HCV transmission is complex and multifaceted.