Ostrom QT, et al. - Experts evaluated the possible age-specific genetic impacts of autosomal SNPs with regard to glioblastoma (GBM) patients by using data from four previous genome-wide association studies (GWAS). They used age distribution tertiles (18–53, 54–64, 65+) to evaluate the datasets with age-stratified logistic regression to generate p values, odds ratios, and 95% confidence intervals, and then combined using meta-analysis. Within The Cancer Genome Atlas there was higher prevalence of lower grade glioma-like tumor characteristics in GBM samples in those 18–53, with IDH1/2 mutation frequency of 15% vs 2.1% (54–63) and 0.8% (64+). Important clues to etiology could be provided by age-specific differences in cancer susceptibility. The probability of more younger individuals presenting initially with secondary glioblastoma was suggested by the association of an SNP known to increase risk for IDH1/2 mutant glioma and a higher prevalence of IDH1/2 mutation within younger individuals 18–53.