A risk model that combines a mammographic artificial intelligence (AI) risk score with polygenic and clinical risk scores ...

Genome-wide association studies (GWAS) have uncovered thousands of risk variants that individually have small effects on the risk of human diseases, including chronic kidney disease, type 2 diabetes, ...

Polygenic risk models have led to significant advances in understanding complex diseases and their clinical presentation. While polygenic risk scores (PRS) can effectively predict outcomes, they do ...

Polygenic scores aim to measure the cumulative effect of multiple genetic variants to make predictions about a person’s health. The most likely areas of potential use are in risk prediction, including ...

Cost-utility studies provide critical information for the costs and benefits of using any new test, typically building on existing public health and screening programmes, within a defined population.

Advances in genetics have made it possible to analyze thousands of genes at once, producing scores that estimate disease risk with high precision. But are polygenic risk scores ready to transform ...