Fig. 4
Race-biased genes identified by the propensity score algorithm. a Distribution of five biological factors (age at diagnosis, gender, tumor stage, smoking history, and alcohol consumption history) in three patient groups, justifying a need to balance these confounders. Analysis of variance test was used to calculate the P-value for age at diagnosis, and chi-squared test was used for the other factors. b Mutational landscape of six race-biased genes. Genes were ordered by mutational frequencies and samples were grouped by race groups. c Mutational frequencies of EP300, NFE2L2, and TP53 in Chinese patients with WES, with targeted sequencing with matched WES and with additional targeted sequencing data. d Mutual exclusivity of TP53, NFE2L2, and EP300. On the top are based on the WES data of combined Chinese and Vietnamese patients, and on the bottom are the targeted sequencing data for 313 Chinese patients. P-values were calculated by CoMEt algorithm
