PWAS Hub: exploring gene-based associations of complex diseases with sex dependency.

The Proteome-Wide Association Study (PWAS) is a protein-based genetic association approach designed to complement traditional variant-based methods like GWAS. PWAS operates in two stages: first, machine learning models predict the impact of genetic variants on protein-coding genes, generating effect scores. These scores are then aggregated into a gene-damaging score for each individual.

VISTA Enhancer browser: an updated database of tissue-specific developmental enhancers.

Regulatory elements (enhancers) are major drivers of gene expression in mammals and harbor many genetic variants associated with human diseases. Here, we present an updated VISTA Enhancer Browser (https://enhancer.lbl.

PWAS Hub for exploring gene-based associations of common complex diseases.

PWAS (proteome-wide association study) is an innovative genetic association approach that complements widely used methods like GWAS (genome-wide association study). The PWAS approach involves consecutive phases. Initially, machine learning modeling and probabilistic considerations quantify the impact of genetic variants on protein-coding genes' biochemical functions.

Competency-Based Medication Administration and Error Reporting.

Background: Accuracy is needed with medication administration, a skill that involves rule-based habits and clinical reasoning. This pilot study investigated the use of an evidence-based checklist for accuracy with oral medication administration and error reporting among prelicensure nursing students. Checklist items were anchored in the mnemonic C-MATCH-REASON (Client, Medication, ADRs, Time, Client History, Route, Expiration date, Amount, Site, Outcomes, Notation).