Article: Multiple polygenic risk scores can improve the prediction of systemic lupus erythematosus in Taiwan.
2024 Volume 11, Issue 1
Abstract: Objective: To identify new genetic variants associated with SLE in Taiwan and establish polygenic risk score (PRS) models to improve the early diagnostic accuracy of SLE.: Methods: The study enrolled 2429 patients with SLE and 48 580 controls from ... ...
Abstract | Objective: To identify new genetic variants associated with SLE in Taiwan and establish polygenic risk score (PRS) models to improve the early diagnostic accuracy of SLE. Methods: The 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. Results: Genetic variants associated with SLE were identified through GWAS. Some novel genes, which have been previously reported, such as Conclusions: The 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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MeSH term(s) | Humans ; Lupus Erythematosus, Systemic/genetics ; Lupus Erythematosus, Systemic/diagnosis ; Lupus Erythematosus, Systemic/epidemiology ; Taiwan/epidemiology ; Genome-Wide Association Study ; Female ; Genetic Predisposition to Disease ; Male ; Multifactorial Inheritance ; Adult ; Middle Aged ; HLA-DQ alpha-Chains/genetics ; Case-Control Studies ; Antibodies, Antinuclear/blood ; HLA-DQ beta-Chains/genetics ; Risk Factors ; Haplotypes ; Polymorphism, Single Nucleotide ; Genetic Risk Score |
Chemical Substances | HLA-DQ alpha-Chains ; Antibodies, Antinuclear ; HLA-DQA1 antigen ; HLA-DQ beta-Chains ; HLA-DQB1 antigen |
Language | English |
Publishing date | 2024-05-09 |
Publishing country | England |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 2779620-6 |
ISSN | 2053-8790 |
ISSN | 2053-8790 |
DOI | 10.1136/lupus-2023-001035 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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