TET2 and frontotemporal dementia: Cochran et al. (2020) analyzed variant associations between EOAD and FTD vs. controls. Variant annotation and predicted deleteriousness were obtained with CADD, a tool that uses a machine learning model trained on a binary distinction between simulated de novo variants and variants that have arisen and become fixed in human populations. PLINK was used to assess single common variant contributions from GWAS data. This analysis identified TET2, which promotes DNA de-methylation, as a risk component for multiple neurodegenerative disorders, such as EOAD and FTD (Cochran et al., 2020).