SUPR
Multi-omics integration for the understanding of complex diseases
Dnr:

sens2023031

Type:

NAISS SENS

Principal Investigator:

Wen Zhong

Affiliation:

Linköpings universitet

Start Date:

2023-11-01

End Date:

2025-11-01

Primary Classification:

10610: Bioinformatics and Systems Biology (methods development to be 10203)

Webpage:

Allocation

Abstract

In previous studies, we have identified a large number of genetic variants affecting the concentration of blood proteins and metabolites (called pQTLs and mQTLs) in healthy populations. In this study, we will expand on these previous studies to identify and characterize pQTLs/mQTLs that impact complex diseases (e.g., CVD, T2D, cancer, etc.) By integrating comprehensive whole genome sequencing data, multi-omics data (transcriptomics, proteomics, metabolomics) and phenotype data to decode the interaction between genetic predisposition and environmental factors in the development, diagnosis, prevention, and safe and effective treatment of complex diseases.