Project R-12080

Bioinformatic Analysis of Whole-Genome Data for Precision Health. (Research)

Precision medicine aims to enable clinicians to efficiently and accurately predict the most appropriate course of action for a patient. With the use of next generation sequencing technologies, precision medicine integrates individual's genomic data for customized diagnosis and treatments. However, current methodologies in genome analysis for clinical settings are still research-grade in that we are not fully able to establish interactions between genome and other biological variables that are relevant for a clinical outcome. Additionally, there is no platform available to interpret the impact of genetic variants on an individual's health. In this project, we will develop a bioinformatics platform to analyze interactions between genome and molecular intermediates based on a -omics longitudinal data collected by VITO. We propose an association analysis of an individual's genome data with his clinical data using polygenic risk scores (PRSs). We will also apply longitudinal statistical analysis to assess an individual's health and his trajectories based on this unique longitudinal data. We will provide a bioinformatics platform that will integrate PRSs with biomarkers and -omics data. This platform could allow clinicians and researchers to provide novel diagnostics, better treatments, and preventive measures in light of an individual's genomic data.

01 April 2021 - 01 May 2025