Integrative QTL analysis and colocalization

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Dnr:

NAISS 2024/5-37

Type:

NAISS Medium Compute

Principal Investigator:

Wen Zhong

Affiliation:

Linköpings universitet

Start Date:

2024-02-12

End Date:

2025-03-01

Primary Classification:

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

Secondary Classification:

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

Webpage:

Allocation

Rackham at UPPMAX: 6 x 1000 core-h/month
Dardel at PDC: 6 x 1000 core-h/month

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.