Key result
Functional genomics studies combining genetic profiling with functional validation can improve precision medicine in rheumatic diseases by enabling risk prediction and drug repositioning.
Why the study?
Without functional interpretation of variants identified through genome-wide association studies in rheumatic diseases, clinical insight remains limited.
Functional genomics studies, combining genetic profiling with functional validation, are crucial for advancing precision medicine, risk prediction, and drug repositioning in rheumatic diseases.
Answers are grounded in this paper and cite their sources.
May support precision approaches in rheumatic diseases; leaves open prospective validation before clinical use.
Rheumatic diseases, those that affect the musculoskeletal system, cause significant morbidity. Among risk factors of these diseases is a significant genetic component. Recent advances in high-throughput omics techniques now allow a comprehensive profiling of patients at a genetic level through genome-wide association studies. Without functional interpretation of variants identified through these studies, clinical insight remains limited. Strategies include statistical fine-mapping that refine the list of variants in loci associated with disease, whilst colocalization techniques attempt to attribute function to variants that overlap a genetically active chromatin annotation. Functional validation using genome editing techniques can be used to further refine genetic signals and identify key pathways in cell types relevant to rheumatic disease biology. Insight gained from the combination of genetic studies and functional validation can be used to improve precision medicine in rheumatic diseases by allowing risk prediction and drug repositioning.
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Piedade et al. (2024) conducted a review in Rheumatic diseases. Functional genomics studies combining genetic profiling with functional validation can improve precision medicine in rheumatic diseases by enabling risk prediction and drug repositioning.
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