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ePRS CLUSTER

Enabling Genomics
Discovery and Innovation

Sobre mí

Mission statement:

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Accelerating scientific

discovery and knowledge

application via data integration.

 The current widely used methodology  (GWAS) identifies statistically significant  associations between scattered markers  and a certain condition or trait, ignoring  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

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The solution

Our lab has created a novel approach  to genomic profiling based on  biological function of the genes. It  aggregates genes into the networks  considering the levels of co-expression and enables a new  approach to create expression-based  polygenic risk score (ePRS).

We have established expertise in  several pipelines for advanced  functional genomics.

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How it works: ePRS

Step 1

Identification of co-expression

 networks using genome-wide,  

tissue specific RNA sequencing  

data from relevant animal  

models or human postmortem

data

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Step 2

Triangulation between gene  network composition, gene  variants from research  participants and variant-gene  expression association slope  (GľeX)

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Step 3

Investigation of main effects

of gene networks or gene network-  environment interactions on the  outcome

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