Utility of polygenic risk scores to aid in the diagnosis of rheumatic diseases

被引:0
|
作者
Santiago-Lamelas, Lucia
Dos Santos-Sobrin, Raquel
Carracedo, Angel [1 ,2 ,3 ]
Castro-Santos, Patricia [1 ,4 ]
Diaz-Pena, Roberto [1 ]
机构
[1] Fdn Publ Galega Med Xen SERGAS, Hlth Res Inst Santiago de Compostela IDIS, Ctr Nacl Genotipado, Travesia Choupana S planta, Santiago De Compostela, A Coruna, Spain
[2] Univ Santiago De Compostela, CIMUS, Grp Med Xen, Santiago De Compostela, Spain
[3] Inst Salud Carlos III, Ctr Biomed Network Res Rare Dis CIBERER, Madrid, Spain
[4] Univ Autonoma Chile, Fac Hlth Sci, Talca, Chile
来源
关键词
Genome-wide association studies; Polygenic risk scores; Rheumatic diseases; Spondyloarthritis; Diagnosis; GENOME-WIDE ASSOCIATION; SYSTEMIC-LUPUS-ERYTHEMATOSUS; PSORIATIC-ARTHRITIS; AXIAL SPONDYLOARTHRITIS; ANKYLOSING-SPONDYLITIS; CLASSIFICATION CRITERIA; HLA ASSOCIATIONS; SUSCEPTIBILITY; BIOMARKERS; SCLEROSIS;
D O I
10.1016/j.berh.2024.101973
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Rheumatic diseases (RDs) are characterized by autoimmunity and autoinflammation and are recognized as complex due to the interplay of multiple genetic, environmental, and lifestyle factors in their pathogenesis. The rapid advancement of genome-wide association studies (GWASs) has enabled the identification of numerous single nucleotide polymorphisms (SNPs) associated with RD susceptibility. Based on these SNPs, polygenic risk scores (PRSs) have emerged as promising tools for quantifying genetic risk in this disease group. This chapter reviews the current status of PRSs in assessing the risk of RDs and discusses their potential to improve the accuracy of the diagnosis of these complex diseases through their ability to discriminate among different RDs. PRSs demonstrate a high discriminatory capacity for various RDs and show potential clinical utility. As GWASs continue to evolve, PRSs are expected to enable more precise risk stratification by integrating genetic, environmental, and lifestyle factors, thereby refining individual risk predictions and advancing disease management strategies.
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页数:14
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