ArticleLupus science & medicine2024
Multiple polygenic risk scores can improve the prediction of systemic lupus erythematosus in Taiwan.
Article in Lupus science & medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Genetic Polymorphisms in Systemic Lupus Erythematosus and Their Clinical Implications: A Narrative Review.International journal of molecular sciences · 2026Review
- Article
- Polygenic risk scores: Navigating the future of precision medicine through economic, ethical, and scientific advancements.iScience · 2026Review
- Identifying a Common Autoimmune Gene Core as a Tool for Verifying Biological Significance and Applicability of Polygenic Risk Scores.International journal of molecular sciences · 2026Article
- Evaluation of population-specific polygenic risk scores for blood lipids: insights from Taiwanese cohorts and multiancestry meta-analysis.Frontiers in bioinformatics · 2026Article
- Polygenic Risk and Linked Metabolic Profile in Systemic Lupus Erythematosus: Cross-Sectional Insights.Genes · 2026Article
- Identification of genetic variants associated with lupus nephritis in a Taiwanese cohort through systematic genetic screening.Scientific reports · 2025Article
- Genetic Insights Into Skin Diseases and Depression: Evidence From East Asian Mendelian Randomization Analysis.Alpha psychiatry · 2025Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo identify new genetic variants associated with SLE in Taiwan and establish polygenic risk score (PRS) models to improve the early diagnostic accuracy of SLE.
methodsThe study enrolled 2429 patients with SLE and 48 580 controls from China Medical University Hospital in Taiwan. A genome-wide association study (GWAS) and PRS analyses of SLE and other three SLE markers, namely ANA, anti-double-stranded DNA antibody (dsDNA) and anti-Smith antibody (Sm), were conducted.
resultsGenetic variants associated with SLE were identified through GWAS. Some novel genes, which have been previously reported, such as
conclusionsThe use of PRSs to predict SLE enables the identification of high-risk patients before abnormal laboratory data were obtained or symptoms were manifested. Our findings underscore the potential of using PRSs and GWAS in identifying SLE markers, offering promise for early diagnosis and prediction of SLE.
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