Genetic Risk Scores Identify People at High Risk of Developing Diabetic Kidney Disease: A Systematic Review.

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  • Additional Information
    • Source:
      Publisher: Oxford University Press Country of Publication: United States NLM ID: 0375362 Publication Model: Print Cited Medium: Internet ISSN: 1945-7197 (Electronic) Linking ISSN: 0021972X NLM ISO Abbreviation: J Clin Endocrinol Metab
    • Publication Information:
      Publication: 2017- : New York : Oxford University Press
      Original Publication: Springfield, Ill. : Charles C. Thomas
    • Subject Terms:
      Diabetic Nephropathies*/genetics ; Diabetic Nephropathies*/diagnosis ; Diabetic Nephropathies*/epidemiology ; Genetic Predisposition to Disease*; Humans ; Risk Factors ; Diabetes Mellitus, Type 2/genetics ; Diabetes Mellitus, Type 2/complications ; Risk Assessment/methods ; Polymorphism, Single Nucleotide ; Diabetes Mellitus, Type 1/genetics ; Diabetes Mellitus, Type 1/complications ; Genetic Risk Score
    • Abstract:
      Context: Diabetic kidney disease (DKD) is the leading cause of end-stage renal disease. Measures to prevent and treat DKD require better identification of patients most at risk. In this systematic review, we summarize the existing evidence of genetic risk scores (GRSs) and their utility for predicting DKD in people with type 1 or type 2 diabetes.
      Evidence Acquisition: We searched MEDLINE, Embase, Web of Science, and Cochrane Reviews in June 2022 to identify all existing and relevant literature. Main data items sought were study design, sample size, population, single nucleotide polymorphisms of interest, DKD-related outcomes, and relevant summary measures of result. The Critical Appraisal Skills Programme checklist was used to evaluate the methodological quality of studies.
      Evidence Synthesis: We identified 400 citations of which 15 are included in this review. Overall, 7 studies had positive results, 5 had mixed results, and 3 had negative results. Most studies with the strongest methodological quality (n = 9) reported statistically significant and favourable findings of a GRS's association with at least 1 measure of DKD.
      Conclusion: This systematic review presents evidence of the utility of GRSs to identify people with diabetes that are at high risk of developing DKD. In practice, a robust GRS could be used at the first clinical encounter with a person living with diabetes in order to stratify their risk of complications. Further prospective research is needed.
      (© The Author(s) 2023. Published by Oxford University Press on behalf of the Endocrine Society.)
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    • Grant Information:
      Y22G-ALIA Diabetes Australian Research Programme
    • Contributed Indexing:
      Keywords: diabetic kidney disease; genetic risk score; polygenic risk score
    • Publication Date:
      Date Created: 20231201 Date Completed: 20240807 Latest Revision: 20240807
    • Publication Date:
      20240808
    • Accession Number:
      PMC11031242
    • Accession Number:
      10.1210/clinem/dgad704
    • Accession Number:
      38039081