Your browser doesn't support javascript.
loading
Genomic diagnostics in polycystic kidney disease: an assessment of real-world use of whole-genome sequencing.
Mallawaarachchi, Amali C; Lundie, Ben; Hort, Yvonne; Schonrock, Nicole; Senum, Sarah R; Gayevskiy, Velimir; Minoche, Andre E; Hollway, Georgina; Ohnesorg, Thomas; Hinchcliffe, Marcus; Patel, Chirag; Tchan, Michel; Mallett, Andrew; Dinger, Marcel E; Rangan, Gopala; Cowley, Mark J; Harris, Peter C; Burnett, Leslie; Shine, John; Furlong, Timothy J.
Affiliation
  • Mallawaarachchi AC; Division of Genomics and Epigenetics, Garvan Institute of Medical Research, Sydney, NSW, Australia. a.mallawaarachchi@garvan.org.au.
  • Lundie B; Department of Medical Genomics, Royal Prince Alfred Hospital, Sydney, NSW, Australia. a.mallawaarachchi@garvan.org.au.
  • Hort Y; Genome.One, Sydney, NSW, Australia. a.mallawaarachchi@garvan.org.au.
  • Schonrock N; Genome.One, Sydney, NSW, Australia.
  • Senum SR; Division of Genomics and Epigenetics, Garvan Institute of Medical Research, Sydney, NSW, Australia.
  • Gayevskiy V; Genome.One, Sydney, NSW, Australia.
  • Minoche AE; Garvan Institute of Medical Research, Sydney, NSW, Australia.
  • Hollway G; St Vincent's Hospital Clinical School, University of New South Wales, Sydney, NSW, Australia.
  • Ohnesorg T; Division of Nephrology and Hypertension, The Mayo Clinic, Rochester, MN, USA.
  • Hinchcliffe M; Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia.
  • Patel C; Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia.
  • Tchan M; Genome.One, Sydney, NSW, Australia.
  • Mallett A; Garvan Institute of Medical Research, Sydney, NSW, Australia.
  • Dinger ME; St Vincent's Hospital Clinical School, University of New South Wales, Sydney, NSW, Australia.
  • Rangan G; Genome.One, Sydney, NSW, Australia.
  • Cowley MJ; Genome.One, Sydney, NSW, Australia.
  • Harris PC; Genetic Health Queensland, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia.
  • Burnett L; Department of Genetic Medicine, Westmead Hospital, Sydney, NSW, Australia.
  • Shine J; Sydney Medical School, The University of Sydney, Sydney, NSW, Australia.
  • Furlong TJ; Kidney Health Service, Royal Brisbane and Women's Hospital, Herston, QLD, Australia.
Eur J Hum Genet ; 29(5): 760-770, 2021 05.
Article in En | MEDLINE | ID: mdl-33437033
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 males73 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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genetic Testing / Whole Genome Sequencing / Gene Frequency / Polycystic Kidney Diseases Type of study: Clinical_trials / Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged Language: En Journal: Eur J Hum Genet Journal subject: GENETICA MEDICA Year: 2021 Document type: Article Affiliation country: Australia Country of publication: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genetic Testing / Whole Genome Sequencing / Gene Frequency / Polycystic Kidney Diseases Type of study: Clinical_trials / Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged Language: En Journal: Eur J Hum Genet Journal subject: GENETICA MEDICA Year: 2021 Document type: Article Affiliation country: Australia Country of publication: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM