Translating polygenic risk scores for clinical use by estimating the confidence bounds of risk prediction

Translating polygenic risk scores for clinical use by estimating the confidence bounds of risk prediction

The application of polygenic risk scores to individual-level disease susceptibility is challenging, as risk is evaluated at a group-level. Here, the authors describe a machine learning method, Mondrian Cross-Conformal Prediction, that reports disease status conditional probability value at the indiv...

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Bibliographic Details
Main Authors: Jiangming Sun, Yunpeng Wang, Lasse Folkersen, Yan Borné, Inge Amlien, Alfonso Buil, Marju Orho-Melander, Anders D. Børglum, David M. Hougaard, Regeneron Genetics Center, Olle Melander, Gunnar Engström, Thomas Werge, Kasper Lage
Format: Article
Language:English
Published: Nature Publishing Group 2021-09-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-25014-7

Internet

https://doi.org/10.1038/s41467-021-25014-7

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