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

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...

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Detalles Bibliográficos
Autores principales: Gambardella, Gennaro, Cereda, Matteo, Benedetti, Lorena, Ciccarelli, Francesca D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5408849/
https://www.ncbi.nlm.nih.gov/pubmed/28003259
http://dx.doi.org/10.1093/bioinformatics/btw809
Descripción
Sumario: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. AVAILABILITY AND IMPLEMENTATION: MEGA-V is available at https://github.com/ciccalab/MEGA SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.