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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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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 |
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. |
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