Literature DB >> 16361419

Population genetic history of hepatitis C virus 1b infection in China.

Tatsunori Nakano1, Ling Lu, Yunshao He, Yongshui Fu, Betty H Robertson, Oliver G Pybus.   

Abstract

Subtype 1b is the most common strain of Hepatitis C virus (HCV) in China. Here, the molecular epidemiology and epidemic history of this strain were investigated by conducting phylogenetic and population genetic analyses of E1 and NS5B gene sequences sampled from nine Chinese cities. The phylogenetic analysis indicated the presence of two clusters of Chinese strains that did not include reference strains from other countries, suggesting that these clusters represent two independent chains of HCV transmission within China. The remaining Chinese isolates were more closely related to reference strains from other countries. The date of origin and past population dynamics of the two groups were investigated using a new population genetic method, the Bayesian skyline plot. The estimated dates of origin of both groups coincide with the period of the Chinese 'Cultural Revolution' during the years 1966-1976. Both groups grew at a rapid exponential rate between approximately 1970 and approximately 1990, after which transmission slowed considerably. Possible explanations for the groups' fast spread and subsequent slowdown are discussed, including parenteral transmission by unsafe injection, iatrogenic transmission by infected blood or blood products and improvements in blood safety since 1990. These results shed light on HCV transmission in China and may help to predict the future burden of HCV-related disease in the country.

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Year:  2006        PMID: 16361419     DOI: 10.1099/vir.0.81360-0

Source DB:  PubMed          Journal:  J Gen Virol        ISSN: 0022-1317            Impact factor:   3.891


  23 in total

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Journal:  PLoS One       Date:  2010-12-13       Impact factor: 3.240

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10.  The current hepatitis C virus prevalence in China may have resulted mainly from an officially encouraged plasma campaign in the 1990s: a coalescence inference with genetic sequences.

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Journal:  J Virol       Date:  2013-08-28       Impact factor: 5.103

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