PMC:6323553 / 11262-11746 JSONTXT

{"project":"2_test","denotations":[{"id":"30554720-20808728-2052411","span":{"begin":69,"end":71},"obj":"20808728"}],"text":"For the penalized regression using lasso, we used the program glmnet 21. SNPs with p \u003c 0.001 in overall BC or ER-negative disease in the training set were pre-selected for inclusion in the lasso, and BRCA2 p.Lys3326X and CHEK2 p.Ile157Thr were added. Covariates for 19 PCs (9 for iCOGs and 10 for Oncoarray) and country were included in each model. For overall breast cancer, the penalty parameter (lambda) giving the best overall breast cancer PRS in the validation set was selected."}