The Role of Genetic Testing in Adult CKD.


Journal

Journal of the American Society of Nephrology : JASN
ISSN: 1533-3450
Titre abrégé: J Am Soc Nephrol
Pays: United States
ID NLM: 9013836

Informations de publication

Date de publication:
01 Aug 2024
Historique:
medline: 18 9 2024
pubmed: 18 9 2024
entrez: 17 9 2024
Statut: ppublish

Résumé

Mounting evidence indicates that monogenic disorders are the underlying cause in a significant proportion of patients with CKD. In recent years, the diagnostic yield of genetic testing in these patients has increased significantly as a result of revolutionary developments in genetic sequencing techniques and sequencing data analysis. Identification of disease-causing genetic variant(s) in patients with CKD may facilitate prognostication and personalized management, including nephroprotection and decisions around kidney transplantation, and is crucial for genetic counseling and reproductive family planning. A genetic diagnosis in a patient with CKD allows for screening of at-risk family members, which is also important for determining their eligibility as kidney transplant donors. Despite evidence for clinical utility, increased availability, and data supporting the cost-effectiveness of genetic testing in CKD, especially when applied early in the diagnostic process, many nephrologists do not use genetic testing to its full potential because of multiple perceived barriers. Our aim in this article was to empower nephrologists to (further) implement genetic testing as a diagnostic means in their clinical practice, on the basis of the most recent insights and exemplified by patient vignettes. We stress why genetic testing is of significant clinical benefit to many patients with CKD, provide recommendations for which patients to test and which test(s) to order, give guidance about interpretation of genetic testing results, and highlight the necessity for and essential components of pretest and post-test genetic counseling.

Identifiants

pubmed: 39288914
doi: 10.1681/ASN.0000000000000401
pii: 00001751-202408000-00014
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1107-1118

Subventions

Organisme : Universitair Medisch Centrum Groningen, Universitair Medisch Centrum Utrecht

Informations de copyright

Copyright © 2024 by the American Society of Nephrology.

Références

Tucker T, Marra M, Friedman JM. Massively parallel sequencing: the next big thing in genetic medicine. Am J Hum Genet. 2009;85(2):142–154. doi:10.1016/j.ajhg.2009.06.022
doi: 10.1016/j.ajhg.2009.06.022
Voelkerding KV, Dames SA, Durtschi JD. Next-generation sequencing: from basic research to diagnostics. Clin Chem. 2009;55(4):641–658. doi:10.1373/clinchem.2008.112789
doi: 10.1373/clinchem.2008.112789
KDIGO Conference Participants. Genetics in chronic kidney disease: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference. Kidney Int. 2022;101(6):1126–1141. doi:10.1016/j.kint.2022.03.019
doi: 10.1016/j.kint.2022.03.019
Lata S, Marasa M, Li Y, et al. Whole-exome sequencing in adults with chronic kidney disease: a Pilot study. Ann Intern Med. 2018;168(2):100–109. doi:10.7326/M17-1319
doi: 10.7326/M17-1319
Ottlewski I, Münch J, Wagner T, et al. Value of renal gene panel diagnostics in adults waiting for kidney transplantation due to undetermined end-stage renal disease. Kidney Int. 2019;96(1):222–230. doi:10.1016/j.kint.2019.01.038
doi: 10.1016/j.kint.2019.01.038
Groopman EE, Marasa M, Cameron-Christie S, et al. Diagnostic utility of exome sequencing for kidney disease. N Engl J Med. 2019;380(2):142–151. doi:10.1056/NEJMoa1806891
doi: 10.1056/NEJMoa1806891
Connaughton DM, Kennedy C, Shril S, et al. Monogenic causes of chronic kidney disease in adults. Kidney Int. 2019;95(4):914–928. doi:10.1016/j.kint.2018.10.031
doi: 10.1016/j.kint.2018.10.031
Jayasinghe K, Stark Z, Kerr PG, et al. Clinical impact of genomic testing in patients with suspected monogenic kidney disease. Genet Med. 2021;23(1):183–191. doi:10.1038/s41436-020-00963-4
doi: 10.1038/s41436-020-00963-4
Domingo-Gallego A, Pybus M, Bullich G, et al. Clinical utility of genetic testing in early-onset kidney disease: seven genes are the main players. Nephrol Dial Transplant. 2022;37(4):687–696. doi:10.1093/ndt/gfab019
doi: 10.1093/ndt/gfab019
Bogyo K, Vena N, May H, et al. Incorporating genetics services into adult kidney disease care. Am J Med Genet C Semin Med Genet. 2022;190(3):289–301. doi:10.1002/ajmg.c.32004
doi: 10.1002/ajmg.c.32004
Bleyer AJ, Westemeyer M, Xie J, et al. Genetic etiologies for chronic kidney disease revealed through next-generation renal gene panel. Am J Nephrol. 2022;53(4):297–306. doi:10.1159/000522226
doi: 10.1159/000522226
Dahl NK, Bloom MS, Chebib FT, et al. The clinical utility of genetic testing in the diagnosis and management of adults with chronic kidney disease. J Am Soc Nephrol. 2023;34(12):2039–2050. doi:10.1681/ASN.0000000000000249
doi: 10.1681/ASN.0000000000000249
Claus LR, Snoek R, Knoers NVAM, van Eerde AM. Review of genetic testing in kidney disease patients: diagnostic yield of single nucleotide variants and copy number variations evaluated across and within kidney phenotype groups. Am J Med Genet C Semin Med Genet. 2022;190(3):358–376. doi:10.1002/ajmg.c.31995
doi: 10.1002/ajmg.c.31995
Morinière V, Dahan K, Hilbert P, et al. Improving mutation screening in familial hematuric nephropathies through next generation sequencing. J Am Soc Nephrol. 2014;25(12):2740–2751. doi:10.1681/ASN.2013080912
doi: 10.1681/ASN.2013080912
Ashton EJ, Legrand A, Benoit V, et al. Simultaneous sequencing of 37 genes identified causative mutations in the majority of children with renal tubulopathies. Kidney Int. 2018;93(4):961–967. doi:10.1016/j.kint.2017.10.016
doi: 10.1016/j.kint.2017.10.016
Bullich G, Domingo-Gallego A, Vargas I, et al. A kidney-disease gene panel allows a comprehensive genetic diagnosis of cystic and glomerular inherited kidney diseases. Kidney Int. 2018;94(2):363–371. doi:10.1016/j.kint.2018.02.027
doi: 10.1016/j.kint.2018.02.027
Devarajan P, Chertow GM, Susztak K, et al. Emerging role of clinical genetics in CKD. Kidney Med. 2022;4(4):100435. doi:10.1016/j.xkme.2022.100435
doi: 10.1016/j.xkme.2022.100435
Knoers N, Antignac C, Bergmann C, et al. Genetic testing in the diagnosis of chronic kidney disease: recommendations for clinical practice. Nephrol Dial Transplant. 2022;37(2):239–254. doi:10.1093/ndt/gfab218
doi: 10.1093/ndt/gfab218
Jayasinghe K, Quinlan C, Mallett AJ, et al. Attitudes and practices of Australian nephrologists toward implementation of clinical genomics. Kidney Int Rep. 2021;6(2):272–283. doi:10.1016/j.ekir.2020.10.030
doi: 10.1016/j.ekir.2020.10.030
Mrug M, Bloom MS, Seto C, et al. Genetic testing for chronic kidney diseases: clinical utility and barriers perceived by nephrologists. Kidney Med. 2021;3(6):1050–1056. doi:10.1016/j.xkme.2021.08.006
doi: 10.1016/j.xkme.2021.08.006
Kansal A, Quinlan C, Stark Z, et al. Theory designed strategies to support implementation of genomics in nephrology. Genes (Basel). 2022;13(10):1919. doi:10.3390/genes13101919
doi: 10.3390/genes13101919
Nestor JG, Marasa M, Milo-Rasouly H, et al. Pilot study of return of genetic results to patients in adult nephrology. Clin J Am Soc Nephrol. 2020;15(5):651–664. doi:10.2215/CJN.12481019
doi: 10.2215/CJN.12481019
Jayasinghe K, Wu Y, Stark Z, et al. Cost-effectiveness of targeted exome analysis as a diagnostic test in glomerular diseases. Kidney Int Rep. 2021;6(11):2850–2861. doi:10.1016/j.ekir.2021.08.028
doi: 10.1016/j.ekir.2021.08.028
Wu Y, Jayasinghe K, Stark Z, et al. Genomic testing for suspected monogenic kidney disease in children and adults: a health economic evaluation. Genet Med. 2023;25(11):100942. doi:10.1016/j.gim.2023.100942
doi: 10.1016/j.gim.2023.100942
Becherucci F, Landini S, Palazzo V, et al. A clinical workflow for cost-saving high-rate diagnosis of genetic kidney diseases. J Am Soc Nephrol. 2023;34(4):706–720. doi:10.1681/ASN.0000000000000076
doi: 10.1681/ASN.0000000000000076
Murray SL, Dorman A, Benson KA, et al. Utility of genomic testing after renal biopsy. Am J Nephrol. 2020;51(1):43–53. doi:10.1159/000504869
doi: 10.1159/000504869
Snoek R, van Jaarsveld RH, Nguyen TQ, et al. Genetics-first approach improves diagnostics of ESKD patients <50 years old. Nephrol Dial Transplant. 2022;37(2):349–357. doi:10.1093/ndt/gfaa363
doi: 10.1093/ndt/gfaa363
Robert T, Raymond L, Dancer M, et al. Beyond the kidney biopsy: genomic approach to undetermined kidney diseases. Clin Kidney J. 2024;17(1):sfad099. doi:10.1093/ckj/sfad099
doi: 10.1093/ckj/sfad099
Robert T, Greillier S, Torrents J, et al. Diagnosis of kidney diseases of unknown etiology through biopsy-genetic analysis. Kidney Int Rep. 2023;8(10):2077–2087. doi:10.1016/j.ekir.2023.07.003
doi: 10.1016/j.ekir.2023.07.003
Mann N, Braun DA, Amann K, et al. Whole-exome sequencing enables a precision medicine approach for kidney transplant recipients. J Am Soc Nephrol. 2019; 30(2):201–215. doi:10.1681/ASN.2018060575
doi: 10.1681/ASN.2018060575
Schrezenmeier E, Kremerskothen E, Halleck F, et al. The underestimated burden of monogenic kidney disease in adults waitlisted for kidney transplantation. Genet Med. 2021;23(7):1219–1224. doi:10.1038/s41436-021-01127-8
doi: 10.1038/s41436-021-01127-8
Caliskan Y, Lee B, Whelan A, Abualrub F, Lentine KL, Jittirat A. Evaluation of genetic kidney diseases in living donor kidney transplantation: towards precision genomic medicine in donor risk assessment. Curr Transplant Rep. 2022;9(2):127–142. doi:10.1007/s40472-021-00340-3
doi: 10.1007/s40472-021-00340-3
Thomas CP, Gupta S, Freese ME, et al. Sequential genetic testing of living-related donors for inherited renal disease to promote informed choice and enhance safety of living donation. Transpl Int. 2021;34(12):2696–2705. doi:10.1111/tri.14133
doi: 10.1111/tri.14133
Cornec-Le Gall E, Audrézet MP, Chen JM, et al. Type of PKD1 mutation influences renal outcome in ADPKD. J Am Soc Nephrol. 2013;24(6):1006–1013. doi:10.1681/ASN.2012070650
doi: 10.1681/ASN.2012070650
Ali H, Alahmad B, Senum SR, et al. PKD1 truncating mutations accelerate eGFR decline in autosomal dominant polycystic kidney disease patients. Am J Nephrol. 2024;55(3):380–388. doi:10.1159/000536165
doi: 10.1159/000536165
Büscher AK, Kranz B, Büscher R, et al. Immunosuppression and renal outcome in congenital and pediatric steroid-resistant nephrotic syndrome. Clin J Am Soc Nephrol. 2010;5(11):2075–2084. doi:10.2215/CJN.01190210
doi: 10.2215/CJN.01190210
Mason AE, Sen ES, Bierzynska A, et al. Response to first course of intensified immunosuppression in genetically stratified steroid resistant nephrotic syndrome. Clin J Am Soc Nephrol. 2020;15(7):983–994. doi:10.2215/CJN.13371019
doi: 10.2215/CJN.13371019
Isaranuwatchai S, Chanakul A, Ittiwut C, et al. Pathogenic variant detection rate by whole exome sequencing in Thai patients with biopsy-proven focal segmental glomerulosclerosis. Sci Rep. 2023;13(1):805. doi:10.1038/s41598-022-26291-y
doi: 10.1038/s41598-022-26291-y
Landini S, Mazzinghi B, Becherucci F, et al. Reverse phenotyping after whole-exome sequencing in steroid-resistant nephrotic syndrome. Clin J Am Soc Nephrol. 2020;15(1):89–100. doi:10.2215/CJN.06060519
doi: 10.2215/CJN.06060519
Mason AE, Saleem MA, Bierzynska A. A critical re-analysis of cases of post-transplantation recurrence in genetic nephrotic syndrome. Pediatr Nephrol. 2021;36(11):3757–3769. doi:10.1007/s00467-021-05134-4
doi: 10.1007/s00467-021-05134-4
Noris M, Caprioli J, Bresin E, et al. Relative role of genetic complement abnormalities in sporadic and familial aHUS and their impact on clinical phenotype. Clin J Am Soc Nephrol. 2010;5(10):1844–1859. doi:10.2215/CJN.02210310
doi: 10.2215/CJN.02210310
Legendre CM, Licht C, Muus P, et al. Terminal complement inhibitor eculizumab in atypical hemolytic-uremic syndrome. N Engl J Med. 2013;368(23):2169–2181. doi:10.1056/NEJMoa1208981
doi: 10.1056/NEJMoa1208981
Azukaitis K, Simkova E, Majid MA, et al. The phenotypic spectrum of nephropathies associated with mutations in diacylglycerol kinase. J Am Soc Nephrol. 2017;28(10):3066–3075. doi:10.1681/ASN.2017010031
doi: 10.1681/ASN.2017010031
Brocklebank V, Kumar G, Howie AJ, et al. Long-term outcomes and response to treatment in diacylglycerol kinase epsilon nephropathy. Kidney Int. 2020;97(6):1260–1274. doi:10.1016/j.kint.2020.01.045
doi: 10.1016/j.kint.2020.01.045
Noris M, Remuzzi G. Managing and preventing atypical hemolytic uremic syndrome recurrence after kidney transplantation. Curr Opin Nephrol Hypertens. 2013;22(6):704–712. doi:10.1097/MNH.0b013e328365b3fe
doi: 10.1097/MNH.0b013e328365b3fe
Atmaca M, Gulhan B, Korkmaz E, et al. Follow-up results of patients with ADCK4 mutations and the efficacy of CoQ10 treatment. Pediatr Nephrol. 2017;32(8):1369–1375. doi:10.1007/s00467-017-3634-3
doi: 10.1007/s00467-017-3634-3
Bichet DG, Hopkin RJ, Aguiar P, et al. Consensus recommendations for the treatment and management of patients with Fabry disease on migalastat: a modified Delphi study. Front Med (Lausanne). 2023;10:1220637. doi:10.3389/fmed.2023.1220637
doi: 10.3389/fmed.2023.1220637
Perretta F, Jaurretche S. Fabry disease: switch from enzyme replacement therapy to oral chaperone migalastat: what do we know today? Healthcare (Basel). 2023;11(4):449. doi:10.3390/healthcare11040449
doi: 10.3390/healthcare11040449
Verhave JC, Bech AP, Wetzels JF, Nijenhuis T. Hepatocyte nuclear factor 1β-associated kidney disease: more than renal cysts and diabetes. J Am Soc Nephrol. 2016;27(2):345–353. doi:10.1681/ASN.2015050544
doi: 10.1681/ASN.2015050544
Nagano C, Morisada N, Nozu K, et al. Clinical characteristics of HNF1B-related disorders in a Japanese population. Clin Exp Nephrol. 2019;23(9):1119–1129. doi:10.1007/s10157-019-01747-0
doi: 10.1007/s10157-019-01747-0
Aymé S, Bockenhauer D, Day S, et al. Common elements in rare kidney diseases: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference. Kidney Int. 2017;92(4):796–808. doi:10.1016/j.kint.2017.06.018
doi: 10.1016/j.kint.2017.06.018
Soraru J, Chakera A, Isbel N, et al. The evolving role of diagnostic genomics in kidney transplantation. Kidney Int Rep. 2022;7(8):1758–1771. doi:10.1016/j.ekir.2022.05.019
doi: 10.1016/j.ekir.2022.05.019
Thomas CP, Daloul R, Lentine KL, et al. Genetic evaluation of living kidney donor candidates: a review and recommendations for best practices. Am J Transplant. 2023;23(5):597–607. doi:10.1016/j.ajt.2023.02.020
doi: 10.1016/j.ajt.2023.02.020
Nissaisorakarn P, Fadakar PK, Safa K, Lundquist AL, Riella CV, Riella LV. A pragmatic approach to selective genetic testing in kidney transplant candidates. Front Transpl. 2024;2:1342471. doi:10.3389/frtra.2023.1342471
doi: 10.3389/frtra.2023.1342471
Milo Rasouly H, Marasa M. Pitfalls and challenges of consenting to genetic research studies. Kidney Int Rep. 2018;3(6):1245–1248. doi:10.1016/j.ekir.2018.08.004
doi: 10.1016/j.ekir.2018.08.004
Weinstock BA, Feldman DL, Fornoni A, et al. Clinical trial recommendations for potential Alport syndrome therapies. Kidney Int. 2020;97(6):1109–1116. doi:10.1016/j.kint.2020.02.029
doi: 10.1016/j.kint.2020.02.029
Sanger F, Nicklen S, Coulson AR. DNA sequencing with chain-terminating inhibitors. Proc Natl Acad Sci U S A. 1977;74(12):5463–5467. doi:10.1073/pnas.74.12.5463
doi: 10.1073/pnas.74.12.5463
Snoek R, van Eerde AM, Knoers NVAM. Importance of reliable variant calling and clear phenotyping when reporting on gene panel testing in renal disease. Kidney Int. 2017;92(6):1325–1327. doi:10.1016/j.kint.2017.07.009
doi: 10.1016/j.kint.2017.07.009
Larrue R, Chamley P, Bardyn T, et al. Diagnostic utility of whole-genome sequencing for nephronophthisis. NPJ Genom Med. 2020;5:38. doi:10.1038/s41525-020-00147-8
doi: 10.1038/s41525-020-00147-8
Lyulcheva-Bennett K, Williams S, Howse M, McCann E. Genomic testing in patients with renal disease. Br J Hosp Med (Lond). 2023;84(7):1–11. doi:10.12968/hmed.2023.0085
doi: 10.12968/hmed.2023.0085
Doreille A, Lombardi Y, Dancer M, et al. Exome-first strategy in adult patients with CKD: a cohort study. Kidney Int Rep. 2023;8(3):596–605. doi:10.1016/j.ekir.2022.12.007
doi: 10.1016/j.ekir.2022.12.007
Mansilla MA, Sompallae RR, Nishimura CJ, et al. Targeted broad-based genetic testing by next-generation sequencing informs diagnosis and facilitates management in patients with kidney diseases. Nephrol Dial Transplant. 2021;36(2):295–305. doi:10.1093/ndt/gfz173
doi: 10.1093/ndt/gfz173
Rehm HL, Alaimo JT, Aradhya S, et al. The landscape of reported VUS in multi-gene panel and genomic testing: time for a change. Genet Med. 2023;25(12):100947. doi:10.1016/j.gim.2023.100947
doi: 10.1016/j.gim.2023.100947
Piras R, Valoti E, Alberti M, et al. CFH and CFHR structural variants in atypical hemolytic uremic syndrome: prevalence, genomic characterization and impact on outcome. Front Immunol. 2022;13:1011580. doi:10.3389/fimmu.2022.1011580
doi: 10.3389/fimmu.2022.1011580
Snoek R, van Setten J, Keating BJ, et al. NPHP1 (Nephrocystin-1) gene deletions cause adult-onset ESRD. J Am Soc Nephrol. 2018;29(6):1772–1779. doi:10.1681/ASN.2017111200
doi: 10.1681/ASN.2017111200
Clissold RL, Hamilton AJ, Hattersley AT, Ellard S, Bingham C. HNF1B-associated renal and extra-renal disease-an expanding clinical spectrum. Nat Rev Nephrol. 2015;11(2):102–112. doi:10.1038/nrneph.2014.232
doi: 10.1038/nrneph.2014.232
Edghill EL, Oram RA, Owens M, et al. Hepatocyte nuclear factor-1beta gene deletions: a common cause of renal disease. Nephrol Dial Transplant. 2008;23(2):627–635. doi:10.1093/ndt/gfm603
doi: 10.1093/ndt/gfm603
O'Fallon B, Durtschi J, Kellogg A, Lewis T, Close D, Best H. Algorithmic improvements for discovery of germline copy number variants in next-generation sequencing data. BMC Bioinformatics. 2022;23(1):285. doi:10.1186/s12859-022-04820-w
doi: 10.1186/s12859-022-04820-w
Kuśmirek W, Nowak R. CNVind: an open-source cloud-based pipeline for rare CNVs detection in whole exome sequencing data based on the depth of coverage. BMC Bioinformatics. 2022;23(1):85. doi:10.1186/s12859-022-04617-x
doi: 10.1186/s12859-022-04617-x
Schaaf CP, Wiszniewska J, Beaudet AL. Copy number and SNP arrays in clinical diagnostics. Annu Rev Genomics Hum Genet. 2011;12:25–51. doi:10.1146/annurev-genom-092010-110715
doi: 10.1146/annurev-genom-092010-110715
Schouten JP, McElgunn CJ, Waaijer R, Zwijnenburg D, Diepvens F, Pals G. Relative quantification of 40 nucleic acid sequences by multiplex ligation-dependent probe amplification. Nucleic Acids Res. 2002;30(12):e57. doi:10.1093/nar/gnf056
doi: 10.1093/nar/gnf056
Saei H, Morinière V, Heidet L, et al. VNtyper enables accurate alignment-free genotyping of MUC1 coding VNTR using short-read sequencing data in autosomal dominant tubulointerstitial kidney disease. iScience. 2023;26(7):107171. doi:10.1016/j.isci.2023.107171
doi: 10.1016/j.isci.2023.107171
Wenzel A, Altmueller J, Ekici AB, et al. Single molecule real time sequencing in ADTKD-MUC1 allows complete assembly of the VNTR and exact positioning of causative mutations. Sci Rep. 2018;8(1):4170. doi:10.1038/s41598-018-22428-0
doi: 10.1038/s41598-018-22428-0
Okada E, Morisada N, Horinouchi T, et al. Detecting MUC1 variants in patients clinicopathologically diagnosed with having autosomal dominant tubulointerstitial kidney disease. Kidney Int Rep. 2022;7(4):857–866. doi:10.1016/j.ekir.2021.12.037
doi: 10.1016/j.ekir.2021.12.037
Miller DE, Sulovari A, Wang T, et al. Targeted long-read sequencing identifies missing disease-causing variation. Am J Hum Genet. 2021;108(8):1436–1449. doi:10.1016/j.ajhg.2021.06.006
doi: 10.1016/j.ajhg.2021.06.006
Sanford Kobayashi E, Batalov S, Wenger AM, et al. Approaches to long-read sequencing in a clinical setting to improve diagnostic rate. Sci Rep. 2022;12(1):16945. doi:10.1038/s41598-022-20113-x
doi: 10.1038/s41598-022-20113-x
Leenen E, Erger F, Altmüller J, et al. Alport syndrome and autosomal dominant tubulointerstitial kidney disease frequently underlie end-stage renal disease of unknown origin-a single-center analysis. Nephrol Dial Transplant. 2022;37(10):1895–1905. doi:10.1093/ndt/gfac163
doi: 10.1093/ndt/gfac163
Oehler JB, Wright H, Stark Z, Mallett AJ, Schmitz U. The application of long- read sequencing in clinical settings. Hum Genomics. 2023;17(1):73. doi:10.1186/s40246-023-00522-3
doi: 10.1186/s40246-023-00522-3
Alkanderi S, Yates LM, Johnson SA, Sayer JA. Lessons learned from a multidisciplinary renal genetics clinic. QJM. 2017;110(7):453–457. doi:10.1093/qjmed/hcx030
doi: 10.1093/qjmed/hcx030
Pode-Shakked B, Ben-Moshe Y, Barel O, et al. A multidisciplinary nephrogenetic referral clinic for children and adults-diagnostic achievements and insights. Pediatr Nephrol. 2022;37(7):1623–1646. doi:10.1007/s00467-021-05374-4
doi: 10.1007/s00467-021-05374-4
Shanks J, Butler G, Cheng D, Jayasinghe K, Quinlan C. Clinical and diagnostic utility of genomic sequencing for children referred to a Kidney Genomics Clinic with microscopic haematuria. Pediatr Nephrol. 2023;38(8):2623–2630. doi:10.1007/s00467-022-05846-1
doi: 10.1007/s00467-022-05846-1
Richards S, Aziz N, Bale S, et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med. 2015;17(5):405–424. doi:10.1038/gim.2015.30
doi: 10.1038/gim.2015.30
Rehm HL, Berg JS, Brooks LD, et al. ClinGen--the clinical genome resource. N Engl J Med. 2015;372(23):2235–2242. doi:10.1056/NEJMsr1406261
doi: 10.1056/NEJMsr1406261
Lim E, Borden C, Mehta S, et al. Reclassification of variants following renal genetics testing: uncommon yet impactful for diagnosis and management. Kidney Int Rep. 2024;9(5):1441–1450. doi:10.1016/j.ekir.2024.01.055
doi: 10.1016/j.ekir.2024.01.055
Mersch J, Brown N, Pirzadeh-Miller S, et al. Prevalence of variant reclassification following hereditary cancer genetic testing. JAMA. 2018;320(12):1266–1274. doi:10.1001/jama.2018.13152
doi: 10.1001/jama.2018.13152
Macklin S, Durand N, Atwal P, Hines S. Observed frequency and challenges of variant reclassification in a hereditary cancer clinic. Genet Med. 2018;20(3):346–350. doi:10.1038/gim.2017.207
doi: 10.1038/gim.2017.207
SoRelle JA, Thodeson DM, Arnold S, Gotway G, Park JY. Clinical utility of reinterpreting previously reported genomic epilepsy test results for pediatric patients. JAMA Pediatr. 2019;173(1):e182302. doi:10.1001/jamapediatrics.2018.2302
doi: 10.1001/jamapediatrics.2018.2302
Burke W, Parens E, Chung WK, Berger SM, Appelbaum PS. The challenge of genetic variants of uncertain clinical significance: a narrative review. Ann Intern Med. 2022;175(7):994–1000. doi:10.7326/M21-4109
doi: 10.7326/M21-4109
Aklilu AM, Gulati A, Kolber KJ, Yang H, Harris PC, Dahl NK. The VUS challenge in cystic kidney disease: a case-based review. Kidney360. 2024;5(1):152–159. doi:10.34067/KID.0000000000000298
doi: 10.34067/KID.0000000000000298
Elliott MD, James LC, Simms EL, et al. Mainstreaming genetic testing for adult patients with autosomal dominant polycystic kidney disease. Can J Kidney Health Dis. 2021;8:20543581211055001. doi:10.1177/20543581211055001
doi: 10.1177/20543581211055001
Rasouly HM, Balderes O, Marasa M, et al. The effect of genetic education on the referral of patients to genetic evaluation: findings from a national survey of nephrologists. Genet Med. 2023;25(5):100814. doi:10.1016/j.gim.2023.100814
doi: 10.1016/j.gim.2023.100814
Kalia SS, Adelman K, Bale SJ, et al. Recommendations for reporting of secondary findings in clinical exome and genome sequencing, 2016 update (ACMG SF v2.0): a policy statement of the American College of Medical Genetics and Genomics. Genet Med. 2017;19(2):249–255. doi:10.1038/gim.2016.190
doi: 10.1038/gim.2016.190
Miller DT, Lee K, Abul-Husn NS, et al. ACMG SF v3.1 list for reporting of secondary findings in clinical exome and genome sequencing: a policy statement of the American College of Medical Genetics and Genomics (ACMG). Genet Med. 2022;24(7):1407–1414. doi:10.1016/j.gim.2022.04.006
doi: 10.1016/j.gim.2022.04.006
Matthijs G, Souche E, Alders M, et al. Guidelines for diagnostic next-generation sequencing. Eur J Hum Genet. 2016;24(10):2–5. doi:10.1038/ejhg.2016.63
doi: 10.1038/ejhg.2016.63
de Wert G, Dondorp W, Clarke A, et al. Opportunistic genomic screening. Recommendations of the European Society of Human Genetics. Eur J Hum Genet. 2021;29(3):365–377. doi:10.1038/s41431-020-00758-w
doi: 10.1038/s41431-020-00758-w
Boycott K, Hartley T, Adam S, et al. The clinical application of genome-wide sequencing for monogenic diseases in Canada: position statement of the Canadian College of Medical Geneticists. J Med Genet. 2015;52(7):431–437. doi:10.1136/jmedgenet-2015-103144
doi: 10.1136/jmedgenet-2015-103144
Lipska BS, Ranchin B, Iatropoulos P, et al. Genotype-phenotype associations in WT1 glomerulopathy. Kidney Int. 2014;85(5):1169–1178. doi:10.1038/ki.2013.519
doi: 10.1038/ki.2013.519
Lipska BS, Iatropoulos P, Maranta R, et al. Genetic screening in adolescents with steroid-resistant nephrotic syndrome. Kidney Int. 2013;84(1):206–213. doi:10.1038/ki.2013.93
doi: 10.1038/ki.2013.93
Lehnhardt A, Karnatz C, Ahlenstiel-Grunow T, et al. Clinical and molecular characterization of patients with heterozygous mutations in wilms tumor suppressor gene 1. Clin J Am Soc Nephrol. 2015;10(5):825–831. doi:10.2215/CJN.10141014
doi: 10.2215/CJN.10141014
Arroyo-Parejo Drayer P, Seeherunvong W, Katsoufis CP, et al. Spectrum of clinical manifestations in children with WT1 mutation: case series and literature review. Front Pediatr. 2022;10:847295. doi:10.3389/fped.2022.847295
doi: 10.3389/fped.2022.847295
Joly Y, Dupras C, Pinkesz M, Tovino SA, Rothstein MA. Looking beyond GINA: policy approaches to address genetic discrimination. Annu Rev Genomics Hum Genet. 2020;21:491–507. doi:10.1146/annurev-genom-111119-011436
doi: 10.1146/annurev-genom-111119-011436
Sariyar M, Schlünder I. Challenges and legal gaps of genetic profiling in the era of big data. Front Big Data. 2019;2:40. doi:10.3389/fdata.2019.00040
doi: 10.3389/fdata.2019.00040
Lumaka A, Carstens N, Devriendt K, et al. Increasing African genomic data generation and sharing to resolve rare and undiagnosed diseases in Africa: a call-to-action by the H3Africa rare diseases working group. Orphanet J Rare Dis. 2022;17(1):230. doi:10.1186/s13023-022-02391-w
doi: 10.1186/s13023-022-02391-w
Ellingford JM, Ahn JW, Bagnall RD, et al. Recommendations for clinical interpretation of variants found in non-coding regions of the genome. Genome Med. 2022;14(1):73. doi:10.1186/s13073-022-01073-3
doi: 10.1186/s13073-022-01073-3
Tabarini N, Biagi E, Uva P, et al. Exploration of tools for the interpretation of human non-coding variants. Int J Mol Sci. 2022;23(21):12977. doi:10.3390/ijms232112977
doi: 10.3390/ijms232112977
Pagnamenta AT, Camps C, Giacopuzzi E, et al. Structural and non-coding variants increase the diagnostic yield of clinical whole genome sequencing for rare diseases. Genome Med. 2023;15(1):94. doi:10.1186/s13073-023-01240-0
doi: 10.1186/s13073-023-01240-0
Dirix M, Gribouval O, Arrondel C, et al. Overcoming the challenges associated with identification of deep intronic variants by whole genome sequencing. Clin Genet. 2023;103(6):693–698. doi:10.1111/cge.14305
doi: 10.1111/cge.14305
Kuksa PP, Greenfest-Allen E, Cifello J, et al. Scalable approaches for functional analyses of whole-genome sequencing non-coding variants. Hum Mol Genet. 2022;31(R1):R62–R72. doi:10.1093/hmg/ddac191
doi: 10.1093/hmg/ddac191
Sugrue LP, Desikan RS. What are polygenic scores and why are they important? JAMA. 2019;321(18):1820–1821. doi:10.1001/jama.2019.3893
doi: 10.1001/jama.2019.3893
Han M, Moon S, Lee S, et al. Novel genetic variants associated with chronic kidney disease progression. J Am Soc Nephrol. 2023;34(5):857–875. doi:10.1681/ASN.0000000000000066
doi: 10.1681/ASN.0000000000000066
Bakshi A, Jefferis J, Wolfe R, et al. Association of polygenic scores with chronic kidney disease phenotypes in a longitudinal study of older adults. Kidney Int. 2023;103(6):1156–1166. doi:10.1016/j.kint.2023.03.017
doi: 10.1016/j.kint.2023.03.017
Khan A, Turchin MC, Patki A, et al. Genome-wide polygenic score to predict chronic kidney disease across ancestries. Nat Med. 2022;28(7):1412–1420. doi:10.1038/s41591-022-01869-1
doi: 10.1038/s41591-022-01869-1
Kumuthini J, Zick B, Balasopoulou A, et al. The clinical utility of polygenic risk scores in genomic medicine practices: a systematic review. Hum Genet. 2022;141(11):1697–1704. doi:10.1007/s00439-022-02452-x
doi: 10.1007/s00439-022-02452-x
Martin AR, Kanai M, Kamatani Y, Okada Y, Neale BM, Daly MJ. Clinical use of current polygenic risk scores may exacerbate health disparities. Nat Genet. 2019;51(4):584–591. doi:10.1038/s41588-019-0379-x
doi: 10.1038/s41588-019-0379-x
Cross B, Turner R, Pirmohamed M. Polygenic risk scores: an overview from bench to bedside for personalised medicine. Front Genet. 2022;13:1000667. doi:10.3389/fgene.2022.1000667
doi: 10.3389/fgene.2022.1000667
Polygenic Risk Score Task Force of the International Common Disease Alliance. Responsible use of polygenic risk scores in the clinic: potential benefits, risks and gaps. Nat Med. 2021;27(11):1876–1884. doi:10.1038/s41591-021-01549-6
doi: 10.1038/s41591-021-01549-6
Lennon NJ, Kottyan LC, Kachulis C, et al. Selection, optimization and validation of ten chronic disease polygenic risk scores for clinical implementation in diverse US populations. Nat Med. 2024;30(2):480–487. doi:10.1038/s41591-024-02796-z
doi: 10.1038/s41591-024-02796-z
Chapman CR. Ethical, legal, and social implications of genetic risk prediction for multifactorial disease: a narrative review identifying concerns about interpretation and use of polygenic scores. J Community Genet. 2023; 14(5):441–452. doi:10.1007/s12687-022-00625-9
doi: 10.1007/s12687-022-00625-9

Auteurs

Nine V A M Knoers (NVAM)

Department of Genetics, University Medical Center Groningen, Groningen, The Netherlands.

Albertien M van Eerde (AM)

Department of Genetics, University Medical Center Utrecht, Utrecht, The Netherlands.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH