Nadine Tung

TL;DR: In this article , the authors implemented computationally efficient, penalized, logistic regression models (lasso, elastic net, stepwise) to individual level genotype data and a Bayesian framework with continuous shrinkage, "select and shrink for summary statistics" (S4), to summary level data for epithelial non-mucinous ovarian cancer risk prediction.

TL;DR: An amendment to this paper has been published and can be accessed via a link at the top of the paper.

TL;DR: Chemoprevention may be an effective risk-reduction option for BRCA mutation carriers, but further studies with longer follow-up are necessary.

TL;DR: This clinical issue may become more common as the incidence of second primary ipsilateral breast cancer would be expected to increase due to widespread adoption of breast-conserving surgery, improved prognosis for patients with an initial early-stage breast cancer, and highly sensitive screening modalities such as magnetic resonance imaging.