Literature DB >> 33437033

Genomic diagnostics in polycystic kidney disease: an assessment of real-world use of whole-genome sequencing.

Amali C Mallawaarachchi1,2,3, Ben Lundie4, Yvonne Hort5, Nicole Schonrock4,6,7, Sarah R Senum8, Velimir Gayevskiy9, Andre E Minoche9, Georgina Hollway4,6,7, Thomas Ohnesorg4, Marcus Hinchcliffe4, Chirag Patel10, Michel Tchan11,12, Andrew Mallett13,14,15, Marcel E Dinger16, Gopala Rangan17,18, Mark J Cowley6,7,19, Peter C Harris8, Leslie Burnett4,7,9,12, John Shine5, Timothy J Furlong5,20.   

Abstract

Autosomal Dominant Polycystic Kidney Disease (ADPKD) is common, with a prevalence of 1/1000 and predominantly caused by disease-causing variants in PKD1 or PKD2. Clinical diagnosis is usually by age-dependent imaging criteria, which is challenging in patients with atypical clinical features, without family history, or younger age. However, there is increasing need for definitive diagnosis of ADPKD with new treatments available. Sequencing is complicated by six pseudogenes that share 97% homology to PKD1 and by recently identified phenocopy genes. Whole-genome sequencing can definitively diagnose ADPKD, but requires validation for clinical use. We initially performed a validation study, in which 42 ADPKD patients underwent sequencing of PKD1 and PKD2 by both whole-genome and Sanger sequencing, using a blinded, cross-over method. Whole-genome sequencing identified all PKD1 and PKD2 germline pathogenic variants in the validation study (sensitivity and specificity 100%). Two mosaic variants outside pipeline thresholds were not detected. We then examined the first 144 samples referred to a clinically-accredited diagnostic laboratory for clinical whole-genome sequencing, with targeted-analysis to a polycystic kidney disease gene-panel. In this unselected, diagnostic cohort (71 males :73 females), the diagnostic rate was 70%, including a diagnostic rate of 81% in patients with typical ADPKD (98% with PKD1/PKD2 variants) and 60% in those with atypical features (56% PKD1/PKD2; 44% PKHD1/HNF1B/GANAB/ DNAJB11/PRKCSH/TSC2). Most patients with atypical disease did not have clinical features that predicted likelihood of a genetic diagnosis. These results suggest clinicians should consider diagnostic genomics as part of their assessment in polycystic kidney disease, particularly in atypical disease.

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Year:  2021        PMID: 33437033      PMCID: PMC8110527          DOI: 10.1038/s41431-020-00796-4

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   5.351


  35 in total

Review 1.  KHA-CARI guideline recommendations for the diagnosis and management of autosomal dominant polycystic kidney disease.

Authors:  Gopala K Rangan; Stephen I Alexander; Katrina L Campbell; Mark Aj Dexter; Vincent W Lee; Pamela Lopez-Vargas; Jun Mai; Andrew Mallett; Chirag Patel; Manish Patel; Michel C Tchan; Allison Tong; David J Tunnicliffe; Philip Vladica; Judy Savige
Journal:  Nephrology (Carlton)       Date:  2016-08       Impact factor: 2.506

2.  Prevalence Estimates of Polycystic Kidney and Liver Disease by Population Sequencing.

Authors:  Matthew B Lanktree; Amirreza Haghighi; Elsa Guiard; Ioan-Andrei Iliuta; Xuewen Song; Peter C Harris; Andrew D Paterson; York Pei
Journal:  J Am Soc Nephrol       Date:  2018-08-22       Impact factor: 10.121

Review 3.  Genetic Complexity of Autosomal Dominant Polycystic Kidney and Liver Diseases.

Authors:  Emilie Cornec-Le Gall; Vicente E Torres; Peter C Harris
Journal:  J Am Soc Nephrol       Date:  2017-10-16       Impact factor: 10.121

4.  Imaging classification of autosomal dominant polycystic kidney disease: a simple model for selecting patients for clinical trials.

Authors:  María V Irazabal; Laureano J Rangel; Eric J Bergstralh; Sara L Osborn; Amber J Harmon; Jamie L Sundsbak; Kyongtae T Bae; Arlene B Chapman; Jared J Grantham; Michal Mrug; Marie C Hogan; Ziad M El-Zoghby; Peter C Harris; Bradley J Erickson; Bernard F King; Vicente E Torres
Journal:  J Am Soc Nephrol       Date:  2014-06-05       Impact factor: 10.121

5.  Likelihood ratios to assess genetic evidence for clinical significance of uncertain variants: hereditary hemorrhagic telangiectasia as a model.

Authors:  Pinar Bayrak-Toydemir; Jamie McDonald; Rong Mao; Amit Phansalkar; Friederike Gedge; Jorge Robles; David Goldgar; Elaine Lyon
Journal:  Exp Mol Pathol       Date:  2008-04-08       Impact factor: 3.362

Review 6.  Evolving role of genetic testing for the clinical management of autosomal dominant polycystic kidney disease.

Authors:  Matthew B Lanktree; Ioan-Andrei Iliuta; Amirreza Haghighi; Xuewen Song; York Pei
Journal:  Nephrol Dial Transplant       Date:  2019-09-01       Impact factor: 5.992

7.  Diagnosis of autosomal dominant polycystic kidney disease using efficient PKD1 and PKD2 targeted next-generation sequencing.

Authors:  Daniel Trujillano; Gemma Bullich; Stephan Ossowski; José Ballarín; Roser Torra; Xavier Estivill; Elisabet Ars
Journal:  Mol Genet Genomic Med       Date:  2014-05-23       Impact factor: 2.183

8.  International consensus statement on the diagnosis and management of autosomal dominant polycystic kidney disease in children and young people.

Authors:  Charlotte Gimpel; Carsten Bergmann; Detlef Bockenhauer; Luc Breysem; Melissa A Cadnapaphornchai; Metin Cetiner; Jan Dudley; Francesco Emma; Martin Konrad; Tess Harris; Peter C Harris; Jens König; Max C Liebau; Matko Marlais; Djalila Mekahli; Alison M Metcalfe; Jun Oh; Ronald D Perrone; Manish D Sinha; Andrea Titieni; Roser Torra; Stefanie Weber; Paul J D Winyard; Franz Schaefer
Journal:  Nat Rev Nephrol       Date:  2019-11       Impact factor: 28.314

9.  Population data improves variant interpretation in autosomal dominant polycystic kidney disease.

Authors:  Amali C Mallawaarachchi; Timothy J Furlong; John Shine; Peter C Harris; Mark J Cowley
Journal:  Genet Med       Date:  2018-10-29       Impact factor: 8.822

10.  LUMPY: a probabilistic framework for structural variant discovery.

Authors:  Ryan M Layer; Colby Chiang; Aaron R Quinlan; Ira M Hall
Journal:  Genome Biol       Date:  2014-06-26       Impact factor: 13.583

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  6 in total

Review 1.  Machine learning for risk stratification in kidney disease.

Authors:  Faris F Gulamali; Ashwin S Sawant; Girish N Nadkarni
Journal:  Curr Opin Nephrol Hypertens       Date:  2022-08-10       Impact factor: 3.416

2.  Monoallelic IFT140 pathogenic variants are an important cause of the autosomal dominant polycystic kidney-spectrum phenotype.

Authors:  Sarah R Senum; Ying Sabrina M Li; Katherine A Benson; Giancarlo Joli; Eric Olinger; Sravanthi Lavu; Charles D Madsen; Adriana V Gregory; Ruxandra Neatu; Timothy L Kline; Marie-Pierre Audrézet; Patricia Outeda; Cherie B Nau; Esther Meijer; Hamad Ali; Theodore I Steinman; Michal Mrug; Paul J Phelan; Terry J Watnick; Dorien J M Peters; Albert C M Ong; Peter J Conlon; Ronald D Perrone; Emilie Cornec-Le Gall; Marie C Hogan; Vicente E Torres; John A Sayer; Peter C Harris
Journal:  Am J Hum Genet       Date:  2021-12-09       Impact factor: 11.043

3.  More dissimilarities than affinities between DNAJB11-PKD and ADPKD.

Authors:  Isabella Pisani; Marco Allinovi; Viviana Palazzo; Paola Zanelli; Micaela Gentile; Maria Teresa Farina; Sara Giuliotti; Paolo Cravedi; Marco Delsante; Umberto Maggiore; Enrico Fiaccadori; Lucio Manenti
Journal:  Clin Kidney J       Date:  2022-01-31

4.  Out now in May's EJHG.

Authors:  Alisdair McNeill
Journal:  Eur J Hum Genet       Date:  2021-05       Impact factor: 5.351

5.  Genetic Etiologies for Chronic Kidney Disease Revealed through Next-Generation Renal Gene Panel.

Authors:  Anthony J Bleyer; Maggie Westemeyer; Jing Xie; Michelle S Bloom; Katya Brossart; Jason J Eckel; Frederick Jones; Miklos Z Molnar; Wayne Kotzker; Prince Anand; Stanislav Kmoch; Yuan Xue; Samuel Strom; Sumit Punj; Zachary P Demko; Hossein Tabriziani; Paul R Billings; Trudy McKanna
Journal:  Am J Nephrol       Date:  2022-03-24       Impact factor: 4.605

Review 6.  The Evolving Role of Diagnostic Genomics in Kidney Transplantation.

Authors:  Jacqueline Soraru; Aron Chakera; Nikky Isbel; Amali Mallawaarachichi; Natasha Rogers; Peter Trnka; Chirag Patel; Andrew J Mallett
Journal:  Kidney Int Rep       Date:  2022-05-25
  6 in total

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