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Genetic diagnosis of kidney disease by whole exome sequencing and its clinical application

  • Jiwon Jung
  • , Joo Hoon Lee
  • , Go Hun Seo
  • , Changwon Keum
  • , Hee Gyung Kang
  • , Heeyeon Cho
  • , Hajeong Lee
  • , Su Kil Park
  • , Chung Hee Baek
  • , Ro Han
  • , Sang Taek Lee
  • , Min Hyun Cho
  • , Hyung Eun Yim
  • , Ja wook Koo
  • , Beom Hee Lee
  • University of Ulsan
  • Inc.
  • Seoul National University
  • Gachon University
  • Samsung Changwon Hospital
  • Kyungpook National University
  • Korea University
  • Inje University

Research output: Contribution to journalArticlepeer-review

Abstract

The genetic spectrum of genetic kidney diseases (GKD) and the application of genetic diagnoses to patient care were assessed by whole exome sequencing (WES) of the DNA of 172 pediatric or adult patients with various kidney diseases. WES diagnosed genetic diseases in 63 (36.6%) patients. The diagnostic yields in patients with glomerulopathy were 33.8% (25/74 pts) due to variants in 10 genes, 58.8% (20/34) in patients with tubulointerstitial disease due to variants in 18 genes, 33.3% (15/45) in patients with cystic disease/ciliopathy due to variants in 10 genes, 18.2% (2/11) in patients with congenital anomalies of the kidneys and urinary tract (CAKUT) due to variants in two genes, and 12.5% (1/8) in patients with end stage kidney disease (ESKD). The diagnosis rate was high in patients aged <1–6 years (46–50.0%), and low in patients aged ≥40 years (9.1%). Renal phenotype was reclassified in 10 (15.9%) of 63 patients and clinical management altered in 10 (15.9%) of 63 patients after genetic diagnosis. In conclusion, these findings demonstrated the diagnostic utility of WES and its effective clinical application in patients, with various kinds of kidney diseases, across the different age groups.

Original languageEnglish
Pages (from-to)298-312
Number of pages15
JournalClinical Genetics
Volume104
Issue number3
DOIs
StatePublished - Sep 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • diagnosis
  • genetic kidney disease
  • phenotype
  • whole exome sequencing

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