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Volume 27, Number 2—February 2021
Research

Hepatitis C Virus Transmission Clusters in Public Health and Correctional Settings, Wisconsin, USA, 2016–20171

Karli R. Hochstatter2Comments to Author , Damien C. Tully2, Karen A. Power, Ruth Koepke, Wajiha Z. Akhtar, Audrey F. Prieve, Thomas Whyte, David J. Bean, David W. Seal, Todd M. Allen3, and Ryan P. Westergaard3
Author affiliations: University, New York, New York, USA (K.R. Hochstatter); University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA (K.R. Hochstatter, R. Koepke, W.Z. Akhtar, R.P. Westergaard); London School of Hygiene and Tropical Medicine, London, UK (D.C. Tully); Ragon Institute of MGH, MIT and Harvard, Cambridge, Massachusetts, USA (D.C. Tully, K.A. Power, D.J. Bean, T.M. Allen); Wisconsin Department of Health Services, Madison (R. Koepke, R.P. Westergaard); Wisconsin State Laboratory of Hygiene, Madison (A.F. Prieve, T. Whyte); Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA (D.W. Seal)

Main Article

Figure 3

Hepatitis C virus (HCV) transmission network among persons in public health and corrections settings, Wisconsin, USA, 2016–2017, showing intrahost genetic heterogeneity within 1 representative transmission cluster. K-step network contains all possible minimum spanning trees and enables efficient visualization of genetic relatedness among all intrahost hypervariable region 1 (HVR1) variants for persons 338 and 362 (A), persons 338 and 372 (B), and persons 362 and 372 (B). Each node represents an HCV sequence, and the color of the node corresponds to the sample of origin: red, variant found in both samples; green, variant found only in the first sample; blue, variant found only in the second sample. Node size is based on frequency of the HVR1 variant, and edge length is proportional to the modified Hamming distance (does not count positions with insertions or deletions as differences).

Figure 3. Hepatitis C virus (HCV) transmission network among persons in public health and corrections settings, Wisconsin, USA, 2016–2017, showing intrahost genetic heterogeneity within 1 representative transmission cluster. K-step network contains all possible minimum spanning trees and enables efficient visualization of genetic relatedness among all intrahost hypervariable region 1 (HVR1) variants for persons 338 and 362 (A), persons 338 and 372 (B), and persons 362 and 372 (B). Each node represents an HCV sequence, and the color of the node corresponds to the sample of origin: red, variant found in both samples; green, variant found only in the first sample; blue, variant found only in the second sample. Node size is based on frequency of the HVR1 variant, and edge length is proportional to the modified Hamming distance (does not count positions with insertions or deletions as differences).

Main Article

1The methods described in this article, along with preliminary results from the first 231 specimens analyzed, were presented in poster format at the 8th International Conference on Hepatitis Care in Substance Users; 2019 Sep 11–13; Montreal, Quebec, Canada.

2These first authors contributed equally to this article.

3These senior authors contributed equally to this article.

Page created: December 07, 2020
Page updated: January 23, 2021
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