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Elucidation of the genetic causes of bicuspid aortic valve disease

  • Jan Gehlen
  • , Anja Stundl
  • , Radoslaw Debiec
  • , Federica Fontana
  • , Markus Krane
  • , Dinara Sharipova
  • , Christopher P. Nelson
  • , Baravan Al-Kassou
  • , Ann Sophie Giel
  • , Jan Malte Sinning
  • , Christopher M.H. Bruenger
  • , Carolin F. Zelck
  • , Laura L. Koebbe
  • , Peter S. Braund
  • , Thomas R. Webb
  • , Simon Hetherington
  • , Stephan Ensminger
  • , Buntaro Fujita
  • , Salah A. Mohamed
  • , Malakh Shrestha
  • Heike Krueger, Matthias Siepe, Fabian Alexander Kari, Peter Nordbeck, Larissa Buravezky, Malte Kelm, Verena Veulemans, Matti Adam, Stephan Baldus, Karl Ludwig Laugwitz, Yannick Haas, Matthias Karck, Uwe Mehlhorn, Lars Oliver Conzelmann, Ingo Breitenbach, Corinna Lebherz, Paul Urbanski, Won Keun Kim, Joscha Kandels, David Ellinghaus, Ulrike Nowak-Goettl, Per Hoffmann, Felix Wirth, Stefanie Doppler, Harald Lahm, Martina Dreßen, Moritz von Scheidt, Katharina Knoll, Thorsten Kessler, Christian Hengstenberg, Heribert Schunkert, Georg Nickenig, Markus M. Nöthen, Aidan P. Bolger, Salim Abdelilah-Seyfried, Nilesh J. Samani, Jeanette Erdmann, Teresa Trenkwalder, Johannes Schumacher
  • University of Bonn and University Hospital Bonn
  • Philipps-Universität Marburg
  • Technical University of Munich
  • Partner Site Munich Heart Alliance
  • University of Leicester
  • Glenfield Hospital
  • University of Potsdam
  • Yale University Medical School
  • Kettering General Hospital NHS Foundation Trust
  • Universitätsklinikum Schleswig-Holstein Campus Lübeck
  • Hannover Medical School
  • University Heart Center Freiburg
  • University Hospital Würzburg
  • Medical Faculty and University Hospital Düsseldorf
  • University Hospital of Cologne
  • University Hospital Heidelberg
  • Helios Klinik
  • Clinic of Braunschweig
  • University Hospital
  • Cardiovascular Clinic
  • Kerckhoff Clinic Bad Nauheim
  • University Hospital Leipzig
  • Christian-Albrechts-University of Kiel
  • Novo Nordisk Foundation Center for Protein Research
  • University Hospital Schleswig-Holstein
  • Medical University of Vienna
  • University of Lübeck

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

Aims The present study aims to characterize the genetic risk architecture of bicuspid aortic valve (BAV) disease, the most common congenital heart defect. Methods We carried out a genome-wide association study (GWAS) including 2236 BAV patients and 11 604 controls. This led to and results the identification of a new risk locus for BAV on chromosome 3q29. The single nucleotide polymorphism rs2550262 was genome-wide significant BAV associated (P= 3.49 × 10−08) and was replicated in an independent case-control sample. The risk locus encodes a deleterious missense variant in MUC4 (p.Ala4821Ser), a gene that is involved in epithelial-to-mesenchymal transformation. Mechanistical studies in zebrafish revealed that loss of Muc4 led to a delay in cardiac valvular development suggesting that loss of MUC4 may also play a role in aortic valve malformation. The GWAS also confirmed previously reported BAV risk loci at PALMD (P= 3.97 × 10−16), GATA4 (P= 1.61 × 10−09), and TEX41 (P= 7.68 × 10−04). In addition, the genetic BAV architecture was examined beyond the single-marker level revealing that a substantial fraction of BAV heritability is polygenic and ∼20% of the observed heritability can be explained by our GWAS data. Furthermore, we used the largest human single-cell atlas for foetal gene expression and show that the transcriptome profile in endothelial cells is a major source contributing to BAV pathology. Conclusion Our study provides a deeper understanding of the genetic risk architecture of BAV formation on the single marker and polygenic level.

Original languageEnglish
Pages (from-to)857-866
Number of pages10
JournalCardiovascular Research
Volume119
Issue number3
DOIs
StatePublished - 1 Mar 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

  • Bicuspid aortic valve
  • Foetal heart transcriptome
  • GWAS
  • SNP-based heritability
  • Zebrafish

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