Additional file 16.

Selected significant gene mutations versus age acceleration. The TCGA data sets were stratified by cancer type and Illumina platform. Mean age acceleration (y-axis) versus mutation status (x-axis) for up to two of the most significant genes per data set. Note that age acceleration in bone marrow (AML) was most highly related to mutation in the following two genes: U2AF1 and TP53. Age acceleration in the two breast cancer data sets was most highly related to mutations in GATA3, TP53, and TTN. For kidney renal cell carcinoma (KIRC): only AKAP9 was significant. Strikingly, TP53 was among the top two most significant mutated genes in 4 out of 13 cancer data sets. More information on these genes is presented in Additional file 2.

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Horvath Genome Biology 2013 14:R115   doi:10.1186/gb-2013-14-10-r115