Recent advancements in high-throughput multi-omics technologies have enabled simultaneous measurement of many thousands of biomolecules across multiple biological layers (e.g. transcriptomics, proteomics and metabolomics) within the same sample. They open unprecedented opportunities to deepen our understanding of the molecular complexities underlying biological systems and diseases.
Multi-omic traits are heritable, and the genetic prediction of these traits offers an efficient and powerful framework for integrating multi-omic analyses into population cohorts, leveraging these tools to elucidate biological mechanisms, and to discover potential biomarkers and therapeutic targets of diseases.
Our group focuses on the genetic prediction of multi-omic traits and aims to:
- Develop genetic prediction models (i.e. genetic scores) for diverse multi-omic traits across ancestry groups by exploring the full genome spectrum.
- Utilize multi-omic genetic scores in genotyped cohorts to dissect the molecular mechanisms of complex diseases.
- Build and maintain open-access platforms (e.g. OmicsPred.org) to share multi-omic genetic score resources with the scientific community.
- Create tools and softwares to support researchers in accessing, integrating, and applying multi-omic genetic scores effectively in their studies.