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Updated: Jan 1, 2026

Author Spotlight: Advancements and Challenges in Hepatitis B Virus Detection
Published on: December 15, 2023
Genotypes and Hot Spot Mutations of Hepatitis B Virus in Northwest Chinese Population and Its Correlation with
Wei Wang1,2,3, Yi Shu1,2, Han Bao1,2
1The State Key Laboratory of Cancer Biology, Air Force Military Medical University, Xi'an 710032, China.
Insights
Hepatitis B virus (HBV) genotypes and mutations in RT and BCP-PreC regions are linked to chronic hepatitis B progression. Specific mutations increase the risk of liver cancer and nucleoside analogue resistance.
Area of Science:
- Hepatology
- Virology
- Genetics
Background:
- Hepatitis B virus (HBV) infection is a major cause of chronic hepatitis B (CHB), liver cirrhosis (LC), and hepatocellular carcinoma (HCC).
- The clinical significance of different HBV genotypes and mutations remains debated.
- Understanding these genetic factors is crucial for disease management.
Purpose of the Study:
- To determine the association of HBV genotypes and hotspot mutations in the reverse transcriptase (RT) and basal core promoter-precore (BCP-PreC) regions with HBV-infected diseases.
- To investigate the clinical significance of these genetic variations in a northwest Chinese population.
Main Methods:
- Collected samples from 980 patients with HBV infection.
- Performed HBV genotyping and DNA sequencing of RT and BCP-PreC regions.
- Utilized statistical methods to analyze the association between HBV genetic features and disease progression.
Main Results:
- HBV/C (61.33%) was the predominant genotype, followed by HBV/B (36.63%).
- New silent mutations (rt169, rt180) in the RT region were associated with increased HCC risk and nucleoside analogue resistance, particularly in HBV/C patients.
- Mutations in the BCP-PreC region (nt 1762/1764, nt 1896/1899) were linked to HBeAg negativity, liver injury, and HCC progression.
- A novel mutation (nt1799G>C) was associated with increased HCC risk in HBV/B patients.
Conclusions:
- HBV genotypes and specific mutations in RT and BCP-PreC regions are significantly associated with the progression of hepatitis B and its complications.
- These genetic markers can aid in risk evaluation and diagnostic improvements for HBV-related liver diseases.
Abstract:
Hepatitis B virus (HBV) infection is a critical incentive for chronic hepatitis B (CHB), liver cirrhosis (LC), and hepatocellular carcinoma (HCC). Different genotypes and genome mutations of HBV have been found to be related to the progression of these liver diseases. However, their clinical significance is still under debate. The objective of this study was to determine the association of HBV genotypes and hot spot mutations in the reverse transcriptase (RT) and basal core promoter-precore (BCP-PreC) region with HBV-infected diseases in a northwest Chinese population. HBV genotyping and DNA sequencing were performed in samples of 980 patients. Appropriate statistical methods were adopted to assess HBV genetic features and its clinical association. It was found that the prevalent HBV genotype in northwestern Chinese patients was HBV/C (61.33%), followed by HBV/B (36.63%). In RT region, in addition to the reported nucleoside analogue- (NA-) resistance missense mutations, new silent mutations at rt169 and rt180 were found to raise the risk of HCC in patients with HBV/C. And the heterozygous mutation status of rt169/rt180 was associated with the increased risk of both HCC and NA resistance (OR > 1, P < 0.01) regardless of HBV genotypes. In BCP-PreC region, multiple mutations and combinations, especially at nt 1762/1764 and nt 1896/1899, were characterized to be the causes of spurious HBeAg negativity and liver function injury, as well as the risk factors for HCC progression (P < 0.01). Additionally, a novel mutation at nt1799G>C was likely found to increase the risk of HCC in patients with HBV/B. These findings revealed an association between HBV genotypes and HBV genetic mutations in RT and BCP-PreC region and progression of hepatitis B. It would be helpful for risk evaluation and diagnostic improvement based on these genetic features.
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