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- W4283587291 abstract "Genome-wide association studies (GWAS) have identified hundreds of genetic variants associated with autoimmune diseases and provided unique mechanistic insights and informed novel treatments. These individual genetic variants on their own typically confer a small effect of disease risk with limited predictive power; however, when aggregated (e.g., via polygenic risk score method), they could provide meaningful risk predictions for a myriad of diseases. In this review, we describe the recent advances in GWAS for autoimmune diseases and the practical application of this knowledge to predict an individual’s susceptibility/severity for autoimmune diseases such as systemic lupus erythematosus (SLE) via the polygenic risk score method. We provide an overview of methods for deriving different polygenic risk scores and discuss the strategies to integrate additional information from correlated traits and diverse ancestries. We further advocate for the need to integrate clinical features (e.g., anti-nuclear antibody status) with genetic profiling to better identify patients at high risk of disease susceptibility/severity even before clinical signs or symptoms develop. We conclude by discussing future challenges and opportunities of applying polygenic risk score methods in clinical care." @default.
- W4283587291 created "2022-06-28" @default.
- W4283587291 creator A5004366838 @default.
- W4283587291 creator A5019669172 @default.
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- W4283587291 creator A5035534167 @default.
- W4283587291 creator A5044571272 @default.
- W4283587291 creator A5086070874 @default.
- W4283587291 date "2022-06-27" @default.
- W4283587291 modified "2023-10-02" @default.
- W4283587291 title "Construction and Application of Polygenic Risk Scores in Autoimmune Diseases" @default.
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