Literature DB >> 35460632

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

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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 the use of genetics in nephrology, meeting participants advised 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.
Copyright © 2022 Kidney Disease: Improving Global Outcomes (KDIGO). Published by Elsevier Inc. on behalf of the International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  genetic kidney disease; genetic testing; genome-wide association studies; monogenic; polygenic; single-nucleotide polymorphism

Mesh:

Year:  2022        PMID: 35460632     DOI: 10.1016/j.kint.2022.03.019

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  3 in total

1.  Monoallelic pathogenic ALG5 variants cause atypical polycystic kidney disease and interstitial fibrosis.

Authors:  Hugo Lemoine; Loann Raud; François Foulquier; John A Sayer; Baptiste Lambert; Eric Olinger; Siriane Lefèvre; Bertrand Knebelmann; Peter C Harris; Pascal Trouvé; Aurore Desprès; Gabrielle Duneau; Marie Matignon; Anais Poyet; Noémie Jourde-Chiche; Dominique Guerrot; Sandrine Lemoine; Guillaume Seret; Miguel Barroso-Gil; Coralie Bingham; Rodney Gilbert; Yannick Le Meur; Marie-Pierre Audrézet; Emilie Cornec-Le Gall
Journal:  Am J Hum Genet       Date:  2022-07-26       Impact factor: 11.043

2.  Predicting Future Outcomes from Kidney Biopsies with MCD/FSGS Lesions: Opportunities and Limitations.

Authors:  Hans-Joachim Anders; Peter Boor
Journal:  J Am Soc Nephrol       Date:  2022-06-21       Impact factor: 14.978

Review 3.  Genetic Kidney Diseases (GKDs) Modeling Using Genome Editing Technologies.

Authors:  Fernando Gómez-García; Raquel Martínez-Pulleiro; Noa Carrera; Catarina Allegue; Miguel A Garcia-Gonzalez
Journal:  Cells       Date:  2022-05-06       Impact factor: 7.666

  3 in total

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