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Differential analysis between somatic mutation and germline variation profiles reveals cancer-related genes.
Przytycki, Pawel F; Singh, Mona.
Afiliación
  • Przytycki PF; Department of Computer Science, Princeton University, Princeton, NJ, 08544, USA.
  • Singh M; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, 08544, USA.
Genome Med ; 9(1): 79, 2017 08 25.
Article en En | MEDLINE | ID: mdl-28841835
A major aim of cancer genomics is to pinpoint which somatically mutated genes are involved in tumor initiation and progression. We introduce a new framework for uncovering cancer genes, differential mutation analysis, which compares the mutational profiles of genes across cancer genomes with their natural germline variation across healthy individuals. We present DiffMut, a fast and simple approach for differential mutational analysis, and demonstrate that it is more effective in discovering cancer genes than considerably more sophisticated approaches. We conclude that germline variation across healthy human genomes provides a powerful means for characterizing somatic mutation frequency and identifying cancer driver genes. DiffMut is available at https://github.com/Singh-Lab/Differential-Mutation-Analysis .
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Análisis Mutacional de ADN / Mutación de Línea Germinal / Genes Relacionados con las Neoplasias / Mutación / Neoplasias Límite: Female / Humans / Male Idioma: En Revista: Genome Med Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Análisis Mutacional de ADN / Mutación de Línea Germinal / Genes Relacionados con las Neoplasias / Mutación / Neoplasias Límite: Female / Humans / Male Idioma: En Revista: Genome Med Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido