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Author Spotlight: Advancements and Challenges in Hepatitis B Virus Detection
Published on: December 15, 2023
Genetic associations in chronic hepatitis B infection: toward developing polygenic risk scores
Kwesi Z Tandoh1, Osbourne Quaye1
1Department of Biochemistry, West African Centre for Cell Biology of Infectious Pathogens (WACCBIP), Cell & Molecular Biology, College of Basic & Applied Sciences, University of Ghana, Accra, Ghana.
Insights
Developing polygenic risk scores from genetic susceptibility loci can improve chronic hepatitis B (CHB) risk prediction. This genetic approach complements existing models for hepatocellular carcinoma and cirrhosis in CHB patients.
Area of Science:
- Genetics and Genomics
- Hepatology
- Infectious Diseases
Background:
- Chronic hepatitis B (CHB) presents diverse clinical outcomes, necessitating improved risk stratification.
- Current models for predicting hepatocellular carcinoma and cirrhosis in CHB lack discriminatory power.
- A genetic-based tool is needed to enhance CHB patient risk assessment.
Purpose of the Study:
- To highlight genetic association studies identifying susceptibility loci for CHB.
- To propose the translation of CHB genetic loci into polygenic risk scores (PRS).
- To advocate for PRS as an adjunct to existing CHB outcome predictive models.
Main Methods:
- Review of genetic association studies implicating HLA and cytokine loci in CHB susceptibility.
- Conceptual advancement of translating identified genetic loci into polygenic risk scores.
- Discussion of challenges and future research directions in CHB genetics.
Main Results:
- Genetic association studies have identified specific HLA and cytokine loci linked to CHB susceptibility.
- Polygenic risk scores derived from these loci show potential for enhancing predictive accuracy.
- The need for improved genetic predictive models for CHB outcomes is evident.
Conclusions:
- Translating CHB genetic susceptibility loci into polygenic risk scores offers a promising enhancement to current predictive models.
- Future research must address current hurdles, including the need for greater genetic data diversity, particularly from sub-Saharan Africa.
- Integrating genetic information can significantly improve personalized risk stratification for patients with chronic hepatitis B.
Abstract:
Chronic hepatitis B (CHB) infection results in multiple clinical phenotypes of varying severity. One of the critical gaps in CHB management is the lack of a genetic-based tool to aid existing hepatocellular carcinoma and cirrhosis risk stratification models for patients with active CHB. Such individual predictive models for CHB are plagued by an inherent limitation of discriminatory power that clearly indicates the need for their improvement. In this article, we highlight genetic association studies in CHB that identified HLA and cytokine genetic susceptibility loci to CHB. We advance the position that translating CHB genetic susceptibility loci into polygenic risk scores will be a welcome addendum to the current arsenal of CHB outcome predictive models. We conclude with comments on hurdles that future research efforts should address within the research enclave of CHB and advocate for increased genetic data representation from sub-Saharan Africa.
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