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 / Gambardella, G.; Cereda, M.; Benedetti, L.; Ciccarelli, F. D.. - In: BIOINFORMATICS. - ISSN 1367-4803. - 33:8(2017), pp. 1248-1249. [10.1093/bioinformatics/btw809]

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

Gambardella G.;
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.
2017
MEGA-V: Detection of variant gene sets in patient cohorts / Gambardella, G.; Cereda, M.; Benedetti, L.; Ciccarelli, F. D.. - In: BIOINFORMATICS. - ISSN 1367-4803. - 33:8(2017), pp. 1248-1249. [10.1093/bioinformatics/btw809]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/906791
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