Which patients with CKD will benefit from genomic sequencing? Synthesizing progress to illuminate the future
Mallett, Andrew J. (2022) Which patients with CKD will benefit from genomic sequencing? Synthesizing progress to illuminate the future. Current Opinion in Nephrology and Hypertension, 31 (6). pp. 541-547.
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Abstract
Purpose of review: This review will summarize and synthesize recent findings in regard to monogenic kidney disorders, including how that evidence is being translated into practice. It will add to existing key knowledge to provide context for clinicians in consolidating existing practice and approaches.
Recent findings: Whilst there are long established factors, which indicate increased likelihood of identifying a monogenic cause for kidney disease, these can now be framed in terms of the identification of new genes, new indications for genomic testing and new evidence for clinical utility of genomic testing in nephrology. Further, inherent in the use of genomics in nephrology are key concepts including robust informed consent, variant interpretation and return of results. Recent findings of variants in genes related to complex or broader kidney phenotypes are emerging in addition to understanding of de novo variants. Phenocopy phenomena are indicating a more pragmatic use of broader gene panels whilst evidence is emerging of a role in unexplained kidney disease. Clinical utility is evolving but is being successfully demonstrated across multiple domains of outcome and practice.
Summary: We provide an updated framework of evidence to guide application of genomic testing in chronic kidney disease (CKD), building upon existing principles and knowledge to indicate how the practice and implementation of this can be applied today. There are clearly established roles for genomic testing for some patients with CKD, largely those with suspected heritable forms, with these continuing to expand as new evidence emerges.
| Item ID: | 76317 |
|---|---|
| Item Type: | Article (Research - C1) |
| ISSN: | 1473-6543 |
| Keywords: | diagnostic genomics, genetic kidney disease, genetic testing |
| Copyright Information: | Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. This article is available under the Creative Commons CC-BY-NC-ND license and permits non-commercial use of the work as published, without adaptation or alteration provided the work is fully attributed. |
| Date Deposited: | 19 Oct 2022 07:36 |
| FoR Codes: | 32 BIOMEDICAL AND CLINICAL SCIENCES > 3202 Clinical sciences > 320214 Nephrology and urology @ 100% |
| SEO Codes: | 20 HEALTH > 2001 Clinical health > 200105 Treatment of human diseases and conditions @ 100% |
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