Research Projects
Unraveling Complex Traits through Post-GWAS Analysis: Integrating Polygenic Risk Scores, Mendelian Randomization, and Multi-Omics Approaches

Project Summary:
This project presents an exceptional opportunity for a dedicated postgraduate student to explore the intricate genetic underpinnings of complex traits and diseases through advanced post-GWAS methodologies. The student will focus on developing Polygenic Risk Scores (PGS), applying Mendelian Randomization (MR) techniques, and integrating multi-omics data to enhance our understanding of disease mechanisms and improve risk prediction models.

Research Areas:
Genomics and Bioinformatics
Translational Medicine

Project Description:
The advent of GWAS has revolutionized our understanding of the genetic basis of complex traits; however, translating these findings into actionable insights remains a challenge. This project aims to leverage PGS, MR, and multi-omics integration to provide a comprehensive view of how genetic variants influence disease risk.

The student will engage in on or more of the following activities:

*Polygenic Risk Score (PGS) Development:

• Construct PGS models for various diseases using large-scale GWAS datasets.
• Investigate the role of environmental factors in modifying genetic risk as predicted by PGS.

*Mendelian Randomization (MR) Exploration:

• Utilize MR methodologies to assess causal relationships between health exposures and outcomes.
• Integrate eQTL data to enhance the interpretability of MR results in identifying causal genes.

*Multi-Omics Data Integration:

• Combine genomic data with transcriptomic and proteomic datasets to elucidate biological pathways involved in complex traits.
• Develop integrative frameworks for analyzing multi-omics datasets to improve causal inference.

Skills and Expertise Required:
Proficiency in statistical analysis and bioinformatics software
Experience with multi-omics data integration techniques
Ability to communicate complex findings effectively through presentations and publications

Professor BHY Chung, Department of Paediatrics and Adolescent Medicine

Biography
HKU Scholars Hub
Laboratory Homepage
ORCID
bhychung@hku.hk

For more information or to express interest for this project, please email the supervisor or the specified contact point in the project description.  Interested candidates are advised to enclose with your email:

1. your CV,
2. a brief description of your research interest and experience, and
3. two reference letters (not required for HKUMed UG students seeking MRes[Med]/URIS projects).

Information on the research programme, funding support and admission documentations could be referenced online at the Research Postgraduate Admissions website. General admission enquiries should be directed to rpgmed@hku.hk.

HKUMed MBBS students interested in the Master of Research in Medicine (MRes[Med]) programme may visit the programme website for more information.  

HKUMed UG students interested in the Undergraduate Research Internship Scheme (URIS) may visit the scheme’s website for more information.