| Autor: |
Yi-Ming Chen, Ching-Heng Lin, Wen-Juei Jeng, Hwai-I Yang, Yen-Ju Chen, Tzu-Hung Hsiao, Ying-Cheng Lin, Chien-Lin Mao, Chia-Yi Wei, Yi-Chung Hsieh, Chih-Jen Huang, Mei-Hung Pan, I-Chieh Chen |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
RMD Open, Vol 10, Iss 2 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2056-5933 |
| DOI: |
10.1136/rmdopen-2023-003293 |
| Popis: |
Objectives This study aimed to develop a predictive model using polygenic risk score (PRS) to forecast renal outcomes for adult systemic lupus erythematosus (SLE) in a Taiwanese population.Methods Patients with SLE (n=2782) and matched non-SLE controls (n=11 128) were genotyped using Genome-Wide TWB 2.0 single-nucleotide polymorphism (SNP) array. PRS models (C+T, LDpred2, Lassosum, PRSice-2, PRS-continuous shrinkage (CS)) were constructed for predicting SLE susceptibility. Logistic regression was assessed for C+T-based PRS association with renal involvement in patients with SLE.Results In the training set, C+T-based SLE-PRS, only incorporating 27 SNPs, outperformed other models with area under the curve (AUC) values of 0.629, surpassing Lassosum (AUC=0.621), PRSice-2 (AUC=0.615), LDpred2 (AUC=0.609) and PRS-CS (AUC=0.602). Additionally, C+T-based SLE-PRS demonstrated consistent predictive capacity in the testing set (AUC=0.620). Individuals in the highest quartile exhibited earlier SLE onset (39.06 vs 44.22 years, p150 mg/day (OR 2.07, 95% CI 1.49 to 2.89, p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
