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    Genetics in chronic kidney disease: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference.

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    Date
    2022-04-20
    Journal
    Kidney International
    Publisher
    Elsevier
    Type
    Article
    
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    Show full item record
    See at
    https://doi.org/10.1016/j.kint.2022.03.019
    Abstract
    Numerous genes for monogenic kidney diseases with classical patterns of inheritance, as well as genes for complex kidney diseases that manifest in combination with environmental factors, have been discovered. Genetic findings are increasingly used to inform clinical management of nephropathies, and have led to improved diagnostics, disease surveillance, choice of therapy, and family counseling. All of these steps rely on accurate interpretation of genetic data, which can be outpaced by current rates of data collection. In March of 2021, Kidney Diseases: Improving Global Outcomes (KDIGO) held a Controversies Conference on "Genetics in Chronic Kidney Disease (CKD)" to review the current state of understanding of monogenic and complex (polygenic) kidney diseases, processes for applying genetic findings in clinical medicine, and use of genomics for defining and stratifying CKD. Given the important contribution of genetic variants to CKD, practitioners with CKD patients are advised to "think genetic," which specifically involves obtaining a family history, collecting detailed information on age of CKD onset, performing clinical examination for extrarenal symptoms, and considering genetic testing. To improve use of genetics in nephrology, meeting participants advise developing an advanced training or subspecialty track for nephrologists, crafting guidelines for testing and treatment, and educating patients, students, and practitioners. Key areas of future research, including clinical interpretation of genome variation, electronic phenotyping, global representation, kidney-specific molecular data, polygenic scores, translational epidemiology, and open data resources, were also identified.
    Description
    By KDIGO Conference Participants. See list at https://pubmed.ncbi.nlm.nih.gov/35460632/
    Rights/Terms
    Copyright © 2022. Published by Elsevier Inc.
    Keyword
    genetic kidney disease
    genome-wide association studies
    monogenic
    polygenic
    single-nucleotide polymorphism
    Identifier to cite or link to this item
    http://hdl.handle.net/10713/18725
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.kint.2022.03.019
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