Description:
 
Background
Contrary to “Mendelian” diseases where causality can be traced back to the strong effects of a single gene, common diseases result from modest effects of many interacting genes. Understanding which genes are involved and how they affect diseases is a major challenge for designing effective therapies.
 
Technology Overview
Northeastern researchers developed a novel bioinformatics correlation method to reveal a multitude of genes associated with complex diseases. The results, validated experimentally by in vitro knockdown, demonstrate that individualized approaches are crucial to unmask all genes involved in complex diseases.
 
Benefits
- Does not assume homogeneity across individuals, as do traditional population-level methods of differential gene expression
- Identifies causal genes as opposed to reactive genes
- Can be used in different settings to identify causal genes in complex diseases and develop drug treatments 
 
Applications
- Drug treatments
- Pharmacological treatments
- Gene therapies 
- Bioinformatics software
 
Opportunity
- License
- Partnering
- Research collaboration
Patent Information:
Category(s):
Biotechnology
For Information, Contact:
Mark Saulich
Associate Director of Commercialization
Northeastern University
m.saulich@northeastern.edu
Inventors:
Alain Karma
Marc Santolini
Keywords: