Dissemin is shutting down on January 1st, 2025

Published in

Oxford University Press, Bioinformatics, 10(34), p. 1741-1749, 2018

DOI: 10.1093/bioinformatics/bty005

Links

Tools

Export citation

Search in Google Scholar

A network approach to exploring the functional basis of gene–gene epistatic interactions in disease susceptibility

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Orange circle
Postprint: archiving restricted
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

Abstract Motivation Individual genetic variants explain only a small fraction of heritability in some diseases. Some variants have weak marginal effects on disease risk, but their joint effects are significantly stronger when occurring together. Most studies on such epistatic interactions have focused on methods for identifying the interactions and interpreting individual cases, but few have explored their general functional basis. This was due to the lack of a comprehensive list of epistatic interactions and uncertainties in associating variants to genes. Results We conducted a large-scale survey of published research articles to compile the first comprehensive list of epistatic interactions in human diseases with detailed annotations. We used various methods to associate these variants to genes to ensure robustness. We found that these genes are significantly more connected in protein interaction networks, are more co-expressed and participate more often in the same pathways. We demonstrate using the list to discover novel disease pathways. Contact kevinyip@cse.cuhk.edu.hk Supplementary information Supplementary data are available at Bioinformatics online.