Step 1
Identification of co-expression networks using genome-wide, tissue specific RNA sequencing data from relevant animal models or human postmortem data.
ePRS CLUSTER
Enabling Genomics Discovery and Innovation
Accelerating scientific discovery and knowledge application via data integration.
Functional genomics pipelines for research teams ready to move from association to mechanism.
From scattered markers to biological networks.
The current widely used methodology, GWAS, identifies statistically significant associations between scattered markers and a condition or trait.
Problem Statement
GWAS often ignores the fact that genes operate in networks and code for precise biological functions in specific tissues.
Data processing and analysis requires extensive resources, limiting the possibility of innovation and discovery in genomics.
The Solution
Our lab created a novel approach to genomic profiling based on biological function of the genes. It aggregates genes into networks considering co-expression levels and enables expression-based polygenic risk score analysis.
How it works: ePRS
A focused pipeline for advanced functional genomics, from tissue-specific networks to outcome analysis.
Step 2
Triangulation between gene network composition, gene variants from research participants, and variant-gene expression association slope (GxE).
Step 3
Investigation of main effects of gene networks or gene network-environment interactions on the outcome.
Built for specialized research support.
We have established expertise in several pipelines for advanced functional genomics.
Key Partners
