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.
MEGA-V : Detection of variant gene sets in patient cohorts / G. Gambardella, M. Cereda, L. Benedetti, F.D. Ciccarelli. - In: BIOINFORMATICS. - ISSN 1367-4803. - 33:8(2017 Apr 15), pp. 1248-1249. [10.1093/bioinformatics/btw809]
MEGA-V : Detection of variant gene sets in patient cohorts
M. Cereda;L. Benedetti;
2017
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.File | Dimensione | Formato | |
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