Estimating disease prevalence in large datasets using genetic risk scores

Estimating disease prevalence in biobanks is prone to error, especially for self-reported traits. Here, the authors propose a method to estimate the prevalence of a disease within a cohort based on genetic risk scores.

Bibliographic Details
Main Authors: Benjamin D. Evans, Piotr Słowiński, Andrew T. Hattersley, Samuel E. Jones, Seth Sharp, Robert A. Kimmitt, Michael N. Weedon, Richard A. Oram, Krasimira Tsaneva-Atanasova, Nicholas J. Thomas
Format: Article
Language:English
Published: Nature Portfolio 2021-11-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-26501-7