Harnessing Whole Genome Polygenic Risk Scores to Stratify Individuals Based on Cardiometabolic Risk Factors and Biomarkers at Age 10 in the Lifecourse-Brief Report.

Tom G RichardsonKatie O'NunainCaroline L Relton George Davey Smith

Published in: Arteriosclerosis, thrombosis, and vascular biology (2022)

Although the use of polygenic prediction in a clinical setting may currently be premature, our findings suggest they are becoming increasingly powerful as a means of predicting complex trait variation at an early stage in the lifecourse.

Keyphrases

early stage
risk factors
big data
genome wide
sentinel lymph node
squamous cell carcinoma
machine learning
gene expression
radiation therapy