Mutational Signatures: From Methods to Mechanisms

Author:

Kim Yoo-Ah1,Leiserson Mark D.M.2,Moorjani Priya3,Sharan Roded4,Wojtowicz Damian1,Przytycka Teresa M.1

Affiliation:

1. National Center of Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA;

2. Department of Computer Science and Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland 20742, USA

3. Department of Molecular and Cell Biology and Center for Computational Biology, University of California, Berkeley, California 94720, USA

4. Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel

Abstract

Mutations are the driving force of evolution, yet they underlie many diseases, in particular, cancer. They are thought to arise from a combination of stochastic errors in DNA processing, naturally occurring DNA damage (e.g., the spontaneous deamination of methylated CpG sites), replication errors, and dysregulation of DNA repair mechanisms. High-throughput sequencing has made it possible to generate large datasets to study mutational processes in health and disease. Since the emergence of the first mutational process studies in 2012, this field is gaining increasing attention and has already accumulated a host of computational approaches and biomedical applications.

Publisher

Annual Reviews

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