Estimating disease prevalence in large datasets using genetic risk scores

oleh: 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
Diterbitkan: Nature Portfolio 2021-11-01

Deskripsi

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.