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Article

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

Journal of translational medicine - 7 Feb 2023

Lim Ashley J W, Tyniana C Tera, Lim Lee Jin, Tan Justina Wei Lynn, Koh Ee Tzun, Chong Samuel S, Khor Chiea Chuen, Leong Khai Pang, Lee Caroline G

Abstract excerpt

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 predictions. This study employs statistics-free machine-learning (ML)-optimized polygenic risk score (PRS) to complement existing...

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Share to Arthritis, Rheumatoid
Share to Genetic Associations and Epidemiology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Predisposition to Disease

Share to Genome-Wide Association Study

Share to Machine Learning

Share to Polymorphism, Single Nucleotide

Share to Rheumatoid Arthritis Research and Therapies

Share to Risk Factors

Source

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Identifiers

PMID: 36750873
DOI: 10.1186/s12967-023-03939-5
PMCID: PMC9903430

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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