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.

Future Microbiology
|March 25, 2022
PubMed

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.

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