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Sequence dependencies and mutation rates of localized mutational processes in cancer
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Abstract
Background
Cancer mutations accumulate through replication errors and DNA damage coupled with incomplete repair. Individual mutational processes often show strong sequence and regional preferences. As a result, some sequence contexts mutate at much higher rates than others. Mutational hotspots, with recurrent mutations across cancer samples, represent genomic positions with elevated mutation rates, often caused by highly localized mutational processes.
Results
We analyze the mutation rates of all 11-mer genomic sequence contexts using the PCAWG set of 2,583 pan-cancer whole genomes. We further associate individual mutations and contexts to mutational signatures and estimate their relative mutation rates. We show that hotspots generally identify highly mutable sequence contexts. Using these, we show that some mutational signatures are enriched in hotspot sequence contexts, corresponding to well-defined sequence preferences for the underlying localized mutational processes. This includes signature 17b (of unknown etiology) and signatures 62 (POLE), 7a (UV), and 72 (linked to lymphomas). In some cases, the mutation rate increases further when focusing on certain genomic regions, such as signature 62 in poised promoters, where the mutation is increased several thousand folds over the overall data set average.
Conclusion
We summarize our findings in a catalog of localized mutational processes, their sequence preferences, and their estimated mutation rates.
Title: Sequence dependencies and mutation rates of localized mutational processes in cancer
Description:
Abstract
Background
Cancer mutations accumulate through replication errors and DNA damage coupled with incomplete repair.
Individual mutational processes often show strong sequence and regional preferences.
As a result, some sequence contexts mutate at much higher rates than others.
Mutational hotspots, with recurrent mutations across cancer samples, represent genomic positions with elevated mutation rates, often caused by highly localized mutational processes.
Results
We analyze the mutation rates of all 11-mer genomic sequence contexts using the PCAWG set of 2,583 pan-cancer whole genomes.
We further associate individual mutations and contexts to mutational signatures and estimate their relative mutation rates.
We show that hotspots generally identify highly mutable sequence contexts.
Using these, we show that some mutational signatures are enriched in hotspot sequence contexts, corresponding to well-defined sequence preferences for the underlying localized mutational processes.
This includes signature 17b (of unknown etiology) and signatures 62 (POLE), 7a (UV), and 72 (linked to lymphomas).
In some cases, the mutation rate increases further when focusing on certain genomic regions, such as signature 62 in poised promoters, where the mutation is increased several thousand folds over the overall data set average.
Conclusion
We summarize our findings in a catalog of localized mutational processes, their sequence preferences, and their estimated mutation rates.
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