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MEGA-V: detection of variant gene sets in patient cohorts.
Bioinformatics ; 33(8): 1248-1249, 2017 04 15.
Article em En | MEDLINE | ID: mdl-28003259
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. Availability and Implementation MEGA-V is available at https//github.com/ciccalab/MEGA. Contact francesca.ciccarelli@kcl.ac.uk. Supplementary information Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Mutação Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Mutação Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article