Characterizing selection signatures in coding and noncoding regions of 14,886 cancer genomes

Abstract excerpt

<title>Abstract</title> <p>Clonal selection drives cancer development, but quantifying selection on noncoding somatic mutations remains largely unexplored. Here, we introduce dNdS-Fun, an extension of the dN/dS framework to quantify selection of both coding and noncoding somatic mutations, thereby enhancing the discovery of driver genes. Applying dNdS-Fun to whole-genome sequencing data from 14,886 cancer patient...

Topics

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• INDEL Mutation
• Microsatellite Instability
• Models, Genetic
• Mutation Rate
• Neoplasms
• Point Mutation
• Polymorphism, Single Nucleotide
• Selection, Genetic

Identifiers and source

Literature Corpus work

324ad4f3-8293-5206-a28d-4cd1860ff642

DOI

10.21203/rs.3.rs-5500973/v1