Efficient polygenic risk scores for biobank scale data by exploiting phenotypes from inferred relatives

Abstract

Genetic data from large cohorts of unrelated individuals can be used to create polygenic risk scores, which could be used to predict individual risk of developing a specific disease. Here the authors show that smaller cohorts of related individuals can provide similarly powerful predictive ability.