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Figure 2 | Genome Medicine

Figure 2

From: Identifying driver mutations in sequenced cancer genomes: computational approaches to enable precision medicine

Figure 2

Overview of strategies for cancer-genome sequencing. A cancer-genome sequencing project begins with whole-genome or whole-exome sequencing. Various methods are used to detect somatic mutations in the resulting sequence (see TableĀ 1), yielding a long list of somatic mutations. Several strategies can then be employed to prioritize these mutations for experimental or functional validation. These strategies include: testing for recurrent mutations, predicting functional impact, and assessing combinations of mutations (see TableĀ 2). None of these approaches are perfect, and each returns a subset of driver mutations as well as passenger mutations. The mutations returned by these approaches can then be validated using a variety of experimental techniques.

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