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MEGA-V: detection of variant gene sets in patient cohorts
Author(s) -
Gennaro Gambardella,
Matteo Cereda,
Lorena Benedetti,
Francesca D. Ciccarelli
Publication year - 2016
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btw809
Subject(s) - mega , mutation , gene , genetics , population , biology , computational biology , medicine , physics , environmental health , astronomy
: 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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