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Elucidation of the genetic causes of bicuspid aortic valve disease
AIMS: The present study aims to characterize the genetic risk architecture of bicuspid aortic valve (BAV) disease, the most common congenital heart defect. METHODS AND RESULTS: We carried out a genome-wide association study (GWAS) including 2236 BAV patients and 11 604 controls. This led to the iden...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153415/ https://www.ncbi.nlm.nih.gov/pubmed/35727948 http://dx.doi.org/10.1093/cvr/cvac099 |
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author | Gehlen, Jan Stundl, Anja Debiec, Radoslaw Fontana, Federica Krane, Markus Sharipova, Dinara Nelson, Christopher P Al-Kassou, Baravan Giel, Ann-Sophie Sinning, Jan-Malte Bruenger, Christopher M H Zelck, Carolin F Koebbe, Laura L Braund, Peter S Webb, Thomas R Hetherington, Simon Ensminger, Stephan Fujita, Buntaro Mohamed, Salah A Shrestha, Malakh Krueger, Heike Siepe, Matthias Kari, Fabian Alexander Nordbeck, Peter Buravezky, Larissa Kelm, Malte Veulemans, Verena Adam, Matti Baldus, Stephan Laugwitz, Karl-Ludwig Haas, Yannick Karck, Matthias Mehlhorn, Uwe Conzelmann, Lars Oliver Breitenbach, Ingo Lebherz, Corinna Urbanski, Paul Kim, Won-Keun Kandels, Joscha Ellinghaus, David Nowak-Goettl, Ulrike Hoffmann, Per Wirth, Felix Doppler, Stefanie Lahm, Harald Dreßen, Martina von Scheidt, Moritz Knoll, Katharina Kessler, Thorsten Hengstenberg, Christian Schunkert, Heribert Nickenig, Georg Nöthen, Markus M Bolger, Aidan P Abdelilah-Seyfried, Salim Samani, Nilesh J Erdmann, Jeanette Trenkwalder, Teresa Schumacher, Johannes |
author_facet | Gehlen, Jan Stundl, Anja Debiec, Radoslaw Fontana, Federica Krane, Markus Sharipova, Dinara Nelson, Christopher P Al-Kassou, Baravan Giel, Ann-Sophie Sinning, Jan-Malte Bruenger, Christopher M H Zelck, Carolin F Koebbe, Laura L Braund, Peter S Webb, Thomas R Hetherington, Simon Ensminger, Stephan Fujita, Buntaro Mohamed, Salah A Shrestha, Malakh Krueger, Heike Siepe, Matthias Kari, Fabian Alexander Nordbeck, Peter Buravezky, Larissa Kelm, Malte Veulemans, Verena Adam, Matti Baldus, Stephan Laugwitz, Karl-Ludwig Haas, Yannick Karck, Matthias Mehlhorn, Uwe Conzelmann, Lars Oliver Breitenbach, Ingo Lebherz, Corinna Urbanski, Paul Kim, Won-Keun Kandels, Joscha Ellinghaus, David Nowak-Goettl, Ulrike Hoffmann, Per Wirth, Felix Doppler, Stefanie Lahm, Harald Dreßen, Martina von Scheidt, Moritz Knoll, Katharina Kessler, Thorsten Hengstenberg, Christian Schunkert, Heribert Nickenig, Georg Nöthen, Markus M Bolger, Aidan P Abdelilah-Seyfried, Salim Samani, Nilesh J Erdmann, Jeanette Trenkwalder, Teresa Schumacher, Johannes |
author_sort | Gehlen, Jan |
collection | PubMed |
description | AIMS: The present study aims to characterize the genetic risk architecture of bicuspid aortic valve (BAV) disease, the most common congenital heart defect. METHODS AND RESULTS: We carried out a genome-wide association study (GWAS) including 2236 BAV patients and 11 604 controls. This led to 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. |
format | Online Article Text |
id | pubmed-10153415 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-101534152023-05-03 Elucidation of the genetic causes of bicuspid aortic valve disease Gehlen, Jan Stundl, Anja Debiec, Radoslaw Fontana, Federica Krane, Markus Sharipova, Dinara Nelson, Christopher P Al-Kassou, Baravan Giel, Ann-Sophie Sinning, Jan-Malte Bruenger, Christopher M H Zelck, Carolin F Koebbe, Laura L Braund, Peter S Webb, Thomas R Hetherington, Simon Ensminger, Stephan Fujita, Buntaro Mohamed, Salah A Shrestha, Malakh Krueger, Heike Siepe, Matthias Kari, Fabian Alexander Nordbeck, Peter Buravezky, Larissa Kelm, Malte Veulemans, Verena Adam, Matti Baldus, Stephan Laugwitz, Karl-Ludwig Haas, Yannick Karck, Matthias Mehlhorn, Uwe Conzelmann, Lars Oliver Breitenbach, Ingo Lebherz, Corinna Urbanski, Paul Kim, Won-Keun Kandels, Joscha Ellinghaus, David Nowak-Goettl, Ulrike Hoffmann, Per Wirth, Felix Doppler, Stefanie Lahm, Harald Dreßen, Martina von Scheidt, Moritz Knoll, Katharina Kessler, Thorsten Hengstenberg, Christian Schunkert, Heribert Nickenig, Georg Nöthen, Markus M Bolger, Aidan P Abdelilah-Seyfried, Salim Samani, Nilesh J Erdmann, Jeanette Trenkwalder, Teresa Schumacher, Johannes Cardiovasc Res Original Article AIMS: The present study aims to characterize the genetic risk architecture of bicuspid aortic valve (BAV) disease, the most common congenital heart defect. METHODS AND RESULTS: We carried out a genome-wide association study (GWAS) including 2236 BAV patients and 11 604 controls. This led to 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. Oxford University Press 2022-06-21 /pmc/articles/PMC10153415/ /pubmed/35727948 http://dx.doi.org/10.1093/cvr/cvac099 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the European Society of Cardiology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Article Gehlen, Jan Stundl, Anja Debiec, Radoslaw Fontana, Federica Krane, Markus Sharipova, Dinara Nelson, Christopher P Al-Kassou, Baravan Giel, Ann-Sophie Sinning, Jan-Malte Bruenger, Christopher M H Zelck, Carolin F Koebbe, Laura L Braund, Peter S Webb, Thomas R Hetherington, Simon Ensminger, Stephan Fujita, Buntaro Mohamed, Salah A Shrestha, Malakh Krueger, Heike Siepe, Matthias Kari, Fabian Alexander Nordbeck, Peter Buravezky, Larissa Kelm, Malte Veulemans, Verena Adam, Matti Baldus, Stephan Laugwitz, Karl-Ludwig Haas, Yannick Karck, Matthias Mehlhorn, Uwe Conzelmann, Lars Oliver Breitenbach, Ingo Lebherz, Corinna Urbanski, Paul Kim, Won-Keun Kandels, Joscha Ellinghaus, David Nowak-Goettl, Ulrike Hoffmann, Per Wirth, Felix Doppler, Stefanie Lahm, Harald Dreßen, Martina von Scheidt, Moritz Knoll, Katharina Kessler, Thorsten Hengstenberg, Christian Schunkert, Heribert Nickenig, Georg Nöthen, Markus M Bolger, Aidan P Abdelilah-Seyfried, Salim Samani, Nilesh J Erdmann, Jeanette Trenkwalder, Teresa Schumacher, Johannes Elucidation of the genetic causes of bicuspid aortic valve disease |
title | Elucidation of the genetic causes of bicuspid aortic valve disease |
title_full | Elucidation of the genetic causes of bicuspid aortic valve disease |
title_fullStr | Elucidation of the genetic causes of bicuspid aortic valve disease |
title_full_unstemmed | Elucidation of the genetic causes of bicuspid aortic valve disease |
title_short | Elucidation of the genetic causes of bicuspid aortic valve disease |
title_sort | elucidation of the genetic causes of bicuspid aortic valve disease |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153415/ https://www.ncbi.nlm.nih.gov/pubmed/35727948 http://dx.doi.org/10.1093/cvr/cvac099 |
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