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Genome-wide analysis of 944 133 individuals provides insights into the etiology of haemorrhoidal disease
OBJECTIVE: Haemorrhoidal disease (HEM) affects a large and silently suffering fraction of the population but its aetiology, including suspected genetic predisposition, is poorly understood. We report the first genome-wide association study (GWAS) meta-analysis to identify genetic risk factors for HE...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8292596/ https://www.ncbi.nlm.nih.gov/pubmed/33888516 http://dx.doi.org/10.1136/gutjnl-2020-323868 |
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author | Zheng, Tenghao Ellinghaus, David Juzenas, Simonas Cossais, François Burmeister, Greta Mayr, Gabriele Jørgensen, Isabella Friis Teder-Laving, Maris Skogholt, Anne Heidi Chen, Sisi Strege, Peter R Ito, Go Banasik, Karina Becker, Thomas Bokelmann, Frank Brunak, Søren Buch, Stephan Clausnitzer, Hartmut Datz, Christian Degenhardt, Frauke Doniec, Marek Erikstrup, Christian Esko, Tõnu Forster, Michael Frey, Norbert Fritsche, Lars G Gabrielsen, Maiken Elvestad Gräßle, Tobias Gsur, Andrea Gross, Justus Hampe, Jochen Hendricks, Alexander Hinz, Sebastian Hveem, Kristian Jongen, Johannes Junker, Ralf Karlsen, Tom Hemming Hemmrich-Stanisak, Georg Kruis, Wolfgang Kupcinskas, Juozas Laubert, Tilman Rosenstiel, Philip C Röcken, Christoph Laudes, Matthias Leendertz, Fabian H Lieb, Wolfgang Limperger, Verena Margetis, Nikolaos Mätz-Rensing, Kerstin Németh, Christopher Georg Ness-Jensen, Eivind Nowak-Göttl, Ulrike Pandit, Anita Pedersen, Ole Birger Peleikis, Hans Günter Peuker, Kenneth Rodriguez, Cristina Leal Rühlemann, Malte Christoph Schniewind, Bodo Schulzky, Martin Skieceviciene, Jurgita Tepel, Jürgen Thomas, Laurent Uellendahl-Werth, Florian Ullum, Henrik Vogel, Ilka Volzke, Henry von Fersen, Lorenzo von Schönfels, Witigo Vanderwerff, Brett Wilking, Julia Wittig, Michael Zeissig, Sebastian Zobel, Myrko Zawistowski, Matthew Vacic, Vladimir Sazonova, Olga Noblin, Elizabeth S Farrugia, Gianrico Beyder, Arthur Wedel, Thilo Kahlke, Volker Schafmayer, Clemens D'Amato, Mauro Franke, Andre |
author_facet | Zheng, Tenghao Ellinghaus, David Juzenas, Simonas Cossais, François Burmeister, Greta Mayr, Gabriele Jørgensen, Isabella Friis Teder-Laving, Maris Skogholt, Anne Heidi Chen, Sisi Strege, Peter R Ito, Go Banasik, Karina Becker, Thomas Bokelmann, Frank Brunak, Søren Buch, Stephan Clausnitzer, Hartmut Datz, Christian Degenhardt, Frauke Doniec, Marek Erikstrup, Christian Esko, Tõnu Forster, Michael Frey, Norbert Fritsche, Lars G Gabrielsen, Maiken Elvestad Gräßle, Tobias Gsur, Andrea Gross, Justus Hampe, Jochen Hendricks, Alexander Hinz, Sebastian Hveem, Kristian Jongen, Johannes Junker, Ralf Karlsen, Tom Hemming Hemmrich-Stanisak, Georg Kruis, Wolfgang Kupcinskas, Juozas Laubert, Tilman Rosenstiel, Philip C Röcken, Christoph Laudes, Matthias Leendertz, Fabian H Lieb, Wolfgang Limperger, Verena Margetis, Nikolaos Mätz-Rensing, Kerstin Németh, Christopher Georg Ness-Jensen, Eivind Nowak-Göttl, Ulrike Pandit, Anita Pedersen, Ole Birger Peleikis, Hans Günter Peuker, Kenneth Rodriguez, Cristina Leal Rühlemann, Malte Christoph Schniewind, Bodo Schulzky, Martin Skieceviciene, Jurgita Tepel, Jürgen Thomas, Laurent Uellendahl-Werth, Florian Ullum, Henrik Vogel, Ilka Volzke, Henry von Fersen, Lorenzo von Schönfels, Witigo Vanderwerff, Brett Wilking, Julia Wittig, Michael Zeissig, Sebastian Zobel, Myrko Zawistowski, Matthew Vacic, Vladimir Sazonova, Olga Noblin, Elizabeth S Farrugia, Gianrico Beyder, Arthur Wedel, Thilo Kahlke, Volker Schafmayer, Clemens D'Amato, Mauro Franke, Andre |
author_sort | Zheng, Tenghao |
collection | PubMed |
description | OBJECTIVE: Haemorrhoidal disease (HEM) affects a large and silently suffering fraction of the population but its aetiology, including suspected genetic predisposition, is poorly understood. We report the first genome-wide association study (GWAS) meta-analysis to identify genetic risk factors for HEM to date. DESIGN: We conducted a GWAS meta-analysis of 218 920 patients with HEM and 725 213 controls of European ancestry. Using GWAS summary statistics, we performed multiple genetic correlation analyses between HEM and other traits as well as calculated HEM polygenic risk scores (PRS) and evaluated their translational potential in independent datasets. Using functional annotation of GWAS results, we identified HEM candidate genes, which differential expression and coexpression in HEM tissues were evaluated employing RNA-seq analyses. The localisation of expressed proteins at selected loci was investigated by immunohistochemistry. RESULTS: We demonstrate modest heritability and genetic correlation of HEM with several other diseases from the GI, neuroaffective and cardiovascular domains. HEM PRS validated in 180 435 individuals from independent datasets allowed the identification of those at risk and correlated with younger age of onset and recurrent surgery. We identified 102 independent HEM risk loci harbouring genes whose expression is enriched in blood vessels and GI tissues, and in pathways associated with smooth muscles, epithelial and endothelial development and morphogenesis. Network transcriptomic analyses highlighted HEM gene coexpression modules that are relevant to the development and integrity of the musculoskeletal and epidermal systems, and the organisation of the extracellular matrix. CONCLUSION: HEM has a genetic component that predisposes to smooth muscle, epithelial and connective tissue dysfunction. |
format | Online Article Text |
id | pubmed-8292596 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-82925962021-08-05 Genome-wide analysis of 944 133 individuals provides insights into the etiology of haemorrhoidal disease Zheng, Tenghao Ellinghaus, David Juzenas, Simonas Cossais, François Burmeister, Greta Mayr, Gabriele Jørgensen, Isabella Friis Teder-Laving, Maris Skogholt, Anne Heidi Chen, Sisi Strege, Peter R Ito, Go Banasik, Karina Becker, Thomas Bokelmann, Frank Brunak, Søren Buch, Stephan Clausnitzer, Hartmut Datz, Christian Degenhardt, Frauke Doniec, Marek Erikstrup, Christian Esko, Tõnu Forster, Michael Frey, Norbert Fritsche, Lars G Gabrielsen, Maiken Elvestad Gräßle, Tobias Gsur, Andrea Gross, Justus Hampe, Jochen Hendricks, Alexander Hinz, Sebastian Hveem, Kristian Jongen, Johannes Junker, Ralf Karlsen, Tom Hemming Hemmrich-Stanisak, Georg Kruis, Wolfgang Kupcinskas, Juozas Laubert, Tilman Rosenstiel, Philip C Röcken, Christoph Laudes, Matthias Leendertz, Fabian H Lieb, Wolfgang Limperger, Verena Margetis, Nikolaos Mätz-Rensing, Kerstin Németh, Christopher Georg Ness-Jensen, Eivind Nowak-Göttl, Ulrike Pandit, Anita Pedersen, Ole Birger Peleikis, Hans Günter Peuker, Kenneth Rodriguez, Cristina Leal Rühlemann, Malte Christoph Schniewind, Bodo Schulzky, Martin Skieceviciene, Jurgita Tepel, Jürgen Thomas, Laurent Uellendahl-Werth, Florian Ullum, Henrik Vogel, Ilka Volzke, Henry von Fersen, Lorenzo von Schönfels, Witigo Vanderwerff, Brett Wilking, Julia Wittig, Michael Zeissig, Sebastian Zobel, Myrko Zawistowski, Matthew Vacic, Vladimir Sazonova, Olga Noblin, Elizabeth S Farrugia, Gianrico Beyder, Arthur Wedel, Thilo Kahlke, Volker Schafmayer, Clemens D'Amato, Mauro Franke, Andre Gut Colon OBJECTIVE: Haemorrhoidal disease (HEM) affects a large and silently suffering fraction of the population but its aetiology, including suspected genetic predisposition, is poorly understood. We report the first genome-wide association study (GWAS) meta-analysis to identify genetic risk factors for HEM to date. DESIGN: We conducted a GWAS meta-analysis of 218 920 patients with HEM and 725 213 controls of European ancestry. Using GWAS summary statistics, we performed multiple genetic correlation analyses between HEM and other traits as well as calculated HEM polygenic risk scores (PRS) and evaluated their translational potential in independent datasets. Using functional annotation of GWAS results, we identified HEM candidate genes, which differential expression and coexpression in HEM tissues were evaluated employing RNA-seq analyses. The localisation of expressed proteins at selected loci was investigated by immunohistochemistry. RESULTS: We demonstrate modest heritability and genetic correlation of HEM with several other diseases from the GI, neuroaffective and cardiovascular domains. HEM PRS validated in 180 435 individuals from independent datasets allowed the identification of those at risk and correlated with younger age of onset and recurrent surgery. We identified 102 independent HEM risk loci harbouring genes whose expression is enriched in blood vessels and GI tissues, and in pathways associated with smooth muscles, epithelial and endothelial development and morphogenesis. Network transcriptomic analyses highlighted HEM gene coexpression modules that are relevant to the development and integrity of the musculoskeletal and epidermal systems, and the organisation of the extracellular matrix. CONCLUSION: HEM has a genetic component that predisposes to smooth muscle, epithelial and connective tissue dysfunction. BMJ Publishing Group 2021-08 2021-04-22 /pmc/articles/PMC8292596/ /pubmed/33888516 http://dx.doi.org/10.1136/gutjnl-2020-323868 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Colon Zheng, Tenghao Ellinghaus, David Juzenas, Simonas Cossais, François Burmeister, Greta Mayr, Gabriele Jørgensen, Isabella Friis Teder-Laving, Maris Skogholt, Anne Heidi Chen, Sisi Strege, Peter R Ito, Go Banasik, Karina Becker, Thomas Bokelmann, Frank Brunak, Søren Buch, Stephan Clausnitzer, Hartmut Datz, Christian Degenhardt, Frauke Doniec, Marek Erikstrup, Christian Esko, Tõnu Forster, Michael Frey, Norbert Fritsche, Lars G Gabrielsen, Maiken Elvestad Gräßle, Tobias Gsur, Andrea Gross, Justus Hampe, Jochen Hendricks, Alexander Hinz, Sebastian Hveem, Kristian Jongen, Johannes Junker, Ralf Karlsen, Tom Hemming Hemmrich-Stanisak, Georg Kruis, Wolfgang Kupcinskas, Juozas Laubert, Tilman Rosenstiel, Philip C Röcken, Christoph Laudes, Matthias Leendertz, Fabian H Lieb, Wolfgang Limperger, Verena Margetis, Nikolaos Mätz-Rensing, Kerstin Németh, Christopher Georg Ness-Jensen, Eivind Nowak-Göttl, Ulrike Pandit, Anita Pedersen, Ole Birger Peleikis, Hans Günter Peuker, Kenneth Rodriguez, Cristina Leal Rühlemann, Malte Christoph Schniewind, Bodo Schulzky, Martin Skieceviciene, Jurgita Tepel, Jürgen Thomas, Laurent Uellendahl-Werth, Florian Ullum, Henrik Vogel, Ilka Volzke, Henry von Fersen, Lorenzo von Schönfels, Witigo Vanderwerff, Brett Wilking, Julia Wittig, Michael Zeissig, Sebastian Zobel, Myrko Zawistowski, Matthew Vacic, Vladimir Sazonova, Olga Noblin, Elizabeth S Farrugia, Gianrico Beyder, Arthur Wedel, Thilo Kahlke, Volker Schafmayer, Clemens D'Amato, Mauro Franke, Andre Genome-wide analysis of 944 133 individuals provides insights into the etiology of haemorrhoidal disease |
title | Genome-wide analysis of 944 133 individuals provides insights into the etiology of haemorrhoidal disease |
title_full | Genome-wide analysis of 944 133 individuals provides insights into the etiology of haemorrhoidal disease |
title_fullStr | Genome-wide analysis of 944 133 individuals provides insights into the etiology of haemorrhoidal disease |
title_full_unstemmed | Genome-wide analysis of 944 133 individuals provides insights into the etiology of haemorrhoidal disease |
title_short | Genome-wide analysis of 944 133 individuals provides insights into the etiology of haemorrhoidal disease |
title_sort | genome-wide analysis of 944 133 individuals provides insights into the etiology of haemorrhoidal disease |
topic | Colon |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8292596/ https://www.ncbi.nlm.nih.gov/pubmed/33888516 http://dx.doi.org/10.1136/gutjnl-2020-323868 |
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