MEGA-V: Detection of variant gene sets in patient cohorts

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Abstract

Summary: Detecting significant associations between genetic variants and disease may prove particularly challenging when the variants are rare in the population and/or act together with other variants to cause the disease. We have developed a statistical framework named Mutation Enrichment Gene set Analysis of Variants (MEGA-V) that specifically detects the enrichments of genetic alterations within a process in a cohort of interest. By focusing on the mutations of several genes contributing to the same function rather than on those affecting a single gene, MEGA-V increases the power to detect statistically significant associations.

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Gambardella, G., Cereda, M., Benedetti, L., & Ciccarelli, F. D. (2017). MEGA-V: Detection of variant gene sets in patient cohorts. Bioinformatics, 33(8), 1248–1249. https://doi.org/10.1093/bioinformatics/btw809

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