Pathway Polygenic Risk Scores (pPRS) for the Analysis of Gene-environment Interaction.

Unlabelled: A polygenic risk score (PRS) is used to quantify the combined disease risk of many genetic variants. For complex human traits there is interest in determining whether the PRS modifies, i.e.

Genome-scale evolution in local populations of wild chimpanzees.

Analysis of genome-scale evolution has been difficult in large, endangered animals because opportunities to collect high-quality genetic samples are limited. There is a need for novel field-friendly, cost-effective genetic techniques. This study conducted an exome-wide analysis of a total of 42 chimpanzees (Pan troglodytes) across six African regions, providing insights into population discrimination techniques.

Change in depression and anxiety symptoms among university students, staff, and faculty during the COVID-19 pandemic: Trojan pandemic response initiative.

Objective, Participants, & Methods: The COVID-19 pandemic has exacerbated mental health challenges of university students, staff, and faculty alike. We used linear mixed models to examine demographic predictors of, and change over time in, self-reported depression and anxiety symptoms of a cohort of university students and staff/faculty between surveys administered in August-November 2021 and December 2021-March 2022.

Results: Students who identified as "other" race/ethnicity, Lesbian Gay Bisexual or Queer, and female, reported high baseline levels of both depression and anxiety.

Living on the edge: Role of adjuvant therapy after resection of primary lung cancer within 2 millimeters of a T-stage cutoff.

Objectives: To evaluate the use of systemic therapy and overall survival in patients with resected non-small cell lung cancer whose pathologic tumor size was within 2 mm of a T-stage cutoff.

Methods: This was retrospective cohort study using the National Cancer Database of patients who underwent resection of tumors within 2 mm of the T1c/T2a, T2a/T2b, and T2b/T3 T-stage cutoffs. Patients with nodal involvement or whose T stage was determined on the basis of pathologic features other than tumor size were excluded.

A regularized Cox hierarchical model for incorporating annotation information in predictive omic studies.

Background: Associated with high-dimensional omics data there are often "meta-features" such as biological pathways and functional annotations, summary statistics from similar studies that can be informative for predicting an outcome of interest. We introduce a regularized hierarchical framework for integrating meta-features, with the goal of improving prediction and feature selection performance with time-to-event outcomes.

Methods: A hierarchical framework is deployed to incorporate meta-features.