DR-500 Somatic mutagenesis in cancer: characterization, models and methods for driver detection

This project aims to generate new knowledge about mutational processes in tumors and to develop improved computational methodology for finding cancer driver mutations. Whole genome sequencing data will be used to learn more about somatic mutations, their sequence characteristics, and genomic distribution. This will aid development of better methods for finding driver mutations, which constitute only a small fraction of all mutations in tumor genomes. Application to whole genome sequencing data from diverse human tumors may uncover new candidate cancer driver events that are potentially actionable.

Erik Lekholm, University of Gothenburg, Sweden