Translating polygenic risk scores for clinical use by estimating the confidence bounds of risk prediction
oleh: 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 |
|---|---|
| Diterbitkan: | Nature Portfolio 2021-09-01 |
Deskripsi
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 individual level.