Article
A comprehensive investigation of statistical and machine learning approaches for predicting complex human diseases on genomic variants.
Briefings in bioinformatics - 19 Jan 2023
Wang Chonghao, Zhang Jing, Veldsman Werner Pieter, Zhou Xin, Zhang Lu
Abstract excerpt
Quantifying an individual's risk for common diseases is an important goal of precision health. The polygenic risk score (PRS), which aggregates multiple risk alleles of candidate diseases, has emerged as a standard approach for identifying high-risk individuals. Although several studies have been performed to benchmark the PRS calculation tools and assess their potential to guide future clinical applications,...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.
