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Diverse ancestry whole-genome sequencing association study identifies TBX5 and PTK7 as susceptibility genes for posterior urethral valves

  • Genomics England Research Consortium
  • , Melanie M. Y. Chan
  • , Omid Sadeghi-Alavijeh
  • , Filipa M. Lopes
  • , Alina C. Hilger
  • , Horia C. Stanescu
  • , Catalin D. Voinescu
  • , Glenda Beaman
  • , William G. Newman
  • , Marcin Zaniew
  • , Stefanie Weber
  • , Yee Mang Ho
  • , John O. Connolly
  • , Dan Wood
  • , Carlo Maj
  • , Alexander Stuckey
  • , Athanasios Kousathanas
  • , Robert Kleta
  • , Adrian S. Woolf
  • , Detlef Bockenhauer
  • Adam P. Levine, Daniel P. Gale

Research output: Contribution to journalArticlepeer-review

Abstract

Posterior urethral valves (PUV) are the commonest cause of end-stage renal disease in children, but the genetic architecture of this rare disorder remains unknown. We performed a sequencing-based genome-wide association study (seqGWAS) in 132 unrelated male PUV cases and 23,727 controls of diverse ancestry, identifying statistically significant associations with common variants at 12q24.21 (P=7.8x10-12; OR 0.4) and rare variants at 6p21.1 (P=2.0x10-8; OR 7.2), that were replicated in an independent European cohort of 395 cases and 4,151 controls. Fine-mapping and functional genomic data mapped these loci to the transcription factor TBX5 and planar cell polarity gene PTK7, respectively, the encoded proteins of which were detected in the developing urinary tract of human embryos. We also observed enrichment of rare structural variation intersecting with candidate cis-regulatory elements, particularly inversions predicted to affect chromatin looping (P=3.1x10-5). These findings represent the first robust genetic associations of PUV, providing novel insights into the underlying biology of this poorly understood disorder and demonstrate how a diverse ancestry seqGWAS can be used for disease locus discovery in a rare disease.
Original languageEnglish
JournaleLife
DOIs
Publication statusPublished - 20 Sept 2022

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

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