PRScalc, a privacy-preserving calculation of raw polygenic risk scores from direct-to-consumer genomics data.

Lorena SandovalSaleet JafriJeya Balaji BalasubramanianPraphulla BhawsarJacob L EdelsonYasmmin Côrtes MartinsWolfgang MaassStephen J Chanock Montserrat Garcia-Closas Jonas S Almeida

Published in: Bioinformatics advances (2023)

The PRScalc web application is developed in JavaScript, HTML, and CSS and is available at GitHub repository (https://episphere.github.io/prs) under an MIT license. The datasets were derived from sources in the public domain: [PGS Catalog, Personal Genome Project].

Keyphrases

health information
big data
healthcare
quality improvement
single cell
electronic health record
drinking water
mental health
rna seq
genome wide
machine learning
artificial intelligence
social media
emergency department
data analysis
monte carlo
dna methylation