Clinical impact of genomic testing in patients with suspected monogenic kidney disease
Jayasinghe, Kushani, Stark, Zornitza, Kerr, Peter G., Gaff, Clara, Martyn, Melissa, Whitlam, John, Creighton, Belinda, Donaldson, Elizabeth, Hunter, Matthew, Jarmolowicz, Anna, Johnstone, Lilian, Krzesinski, Emma, Lunke, Sebastian, Lynch, Elly, Nicholls, Kathleen, Patel, Chirag, Prawer, Yael, Ryan, Jessica, See, Emily J., Talbot, Andrew, Trainer, Alison, Tytherleigh, Rigan, Valente, Giulia, Wallis, Mathew, Wardrop, Louise, West, Kirsty H., White, Susan M., Wilkins, Ella, Mallett, Andrew, and Quinlan, Catherine (2021) Clinical impact of genomic testing in patients with suspected monogenic kidney disease. Genetics in Medicine, 23 (1). pp. 183-191.
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Abstract
Purpose: To determine the diagnostic yield and clinical impact of exome sequencing (ES) in patients with suspected monogenic kidney disease.
Methods: We performed clinically accredited singleton ES in a prospectively ascertained cohort of 204 patients assessed in multidisciplinary renal genetics clinics at four tertiary hospitals in Melbourne, Australia.
Results: ES identified a molecular diagnosis in 80 (39%) patients, encompassing 35 distinct genetic disorders. Younger age at presentation was independently associated with an ES diagnosis (p < 0.001). Of those diagnosed, 31/80 (39%) had a change in their clinical diagnosis. ES diagnosis was considered to have contributed to management in 47/80 (59%), including negating the need for diagnostic renal biopsy in 10/80 (13%), changing surveillance in 35/80 (44%), and changing the treatment plan in 16/80 (20%). In cases with no change to management in the proband, the ES result had implications for the management of family members in 26/33 (79%). Cascade testing was subsequently offered to 40/80 families (50%).
Conclusion: In this pragmatic pediatric and adult cohort with suspected monogenic kidney disease, ES had high diagnostic and clinical utility. Our findings, including predictors of positive diagnosis, can be used to guide clinical practice and health service design.
| Item ID: | 66018 |
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| Item Type: | Article (Research - C1) |
| ISSN: | 1530-0366 |
| Keywords: | chronic kidney disease; exome sequencing; genetic kidney disease |
| Copyright Information: | © The Author(s) 2020. Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, and provide a link to the Creative Commons license. You do not have permission under this license to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/. |
| Funders: | Melbourne Genomics Health Alliance (Melbourne Genomics), Royal Children’s Hospital Foundation, Australian Genomics Health Alliance, Victorian Government (VG), National Health and Medical Research Council of Australia (NHMRC) |
| Projects and Grants: | VG Operational Infrastructure Support Program, NHMRC APP1113531 |
| Date Deposited: | 16 Feb 2021 22:40 |
| FoR Codes: | 32 BIOMEDICAL AND CLINICAL SCIENCES > 3202 Clinical sciences > 320214 Nephrology and urology @ 50% 32 BIOMEDICAL AND CLINICAL SCIENCES > 3202 Clinical sciences > 320213 Medical genetics (excl. cancer genetics) @ 50% |
| SEO Codes: | 20 HEALTH > 2001 Clinical health > 200101 Diagnosis of human diseases and conditions @ 100% |
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