npj Genomic Medicine (Jul 2023)

Atypical splicing variants in PKD1 explain most undiagnosed typical familial ADPKD

  • Yvonne Hort,
  • Patricia Sullivan,
  • Laura Wedd,
  • Lindsay Fowles,
  • Igor Stevanovski,
  • Ira Deveson,
  • Cas Simons,
  • Andrew Mallett,
  • Chirag Patel,
  • Timothy Furlong,
  • Mark J. Cowley,
  • John Shine,
  • Amali Mallawaarachchi

DOI
https://doi.org/10.1038/s41525-023-00362-z
Journal volume & issue
Vol. 8, no. 1
pp. 1 – 9

Abstract

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Abstract Autosomal dominant polycystic kidney disease (ADPKD) is the most common monogenic cause of kidney failure and is primarily associated with PKD1 or PKD2. Approximately 10% of patients remain undiagnosed after standard genetic testing. We aimed to utilise short and long-read genome sequencing and RNA studies to investigate undiagnosed families. Patients with typical ADPKD phenotype and undiagnosed after genetic diagnostics were recruited. Probands underwent short-read genome sequencing, PKD1 and PKD2 coding and non-coding analyses and then genome-wide analysis. Targeted RNA studies investigated variants suspected to impact splicing. Those undiagnosed then underwent Oxford Nanopore Technologies long-read genome sequencing. From over 172 probands, 9 met inclusion criteria and consented. A genetic diagnosis was made in 8 of 9 (89%) families undiagnosed on prior genetic testing. Six had variants impacting splicing, five in non-coding regions of PKD1. Short-read genome sequencing identified novel branchpoint, AG-exclusion zone and missense variants generating cryptic splice sites and a deletion causing critical intron shortening. Long-read sequencing confirmed the diagnosis in one family. Most undiagnosed families with typical ADPKD have splice-impacting variants in PKD1. We describe a pragmatic method for diagnostic laboratories to assess PKD1 and PKD2 non-coding regions and validate suspected splicing variants through targeted RNA studies.