SUPR
Integrative QTL analysis and colocalization
Dnr:

NAISS 2024/23-297

Type:

NAISS Small Storage

Principal Investigator:

Wen Zhong

Affiliation:

Linköpings universitet

Start Date:

2024-05-31

End Date:

2025-06-01

Primary Classification:

10203: Bioinformatics (Computational Biology) (applications to be 10610)

Webpage:

Allocation

Abstract

The aim of this project is to integrate both in-house (S3WP, UCAN projects) and publicly available datasets to score the associations between genetic variants and circulating protein, metabolite, and RNA molecule levels as well as immune cell populations. To this end, a combined QTL database will be constructed for the development of new biomarker discovery. Several computationally intensive analyses will be conducted, including the QTL association analysis, GWAS, colocalization analysis, and Mendelian randomization.