Robust SNP-based prediction of rheumatoid arthritis through machine-learning-optimized polygenic risk score

Robust SNP-based prediction of rheumatoid arthritis through machine-learning-optimized polygenic risk score

Abstract Background The popular statistics-based Genome-wide association studies (GWAS) have provided deep insights into the field of complex disorder genetics. However, its clinical applicability to predict disease/trait outcomes remains unclear as statistical models are not designed to make predic...

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Bibliographic Details
Main Authors: Ashley J. W. Lim, C. Tera Tyniana, Lee Jin Lim, Justina Wei Lynn Tan, Ee Tzun Koh, TTSH Rheumatoid Arthritis Study Group, Samuel S. Chong, Chiea Chuen Khor, Khai Pang Leong, Caroline G. Lee
Format: Article
Language:English
Published: BMC 2023-02-01
Series:Journal of Translational Medicine
Subjects:
Machine-learning
Polygenic risk score
Rheumatoid arthritis
Single nucleotide polymorphisms
Online Access:https://doi.org/10.1186/s12967-023-03939-5

Internet

https://doi.org/10.1186/s12967-023-03939-5

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