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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.