Genome-wide analysis of 944,133 individuals provides insights into the etiology of hemorrhoidal disease Article Swipe
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· 2020
· Open Access
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· DOI: https://doi.org/10.1101/2020.12.03.20242776
Hemorrhoidal disease (HEM) affects a large fraction of the population but its etiology including suspected genetic predisposition is poorly understood. We conducted a GWAS meta-analysis of 218,920 HEM patients and 725,213 controls of European ancestry, demonstrating modest heritability and genetic correlation with several other diseases from the gastrointestinal, neuroaffective and cardiovascular domains. HEM polygenic risk scores 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 harboring genes whose expression is enriched in blood vessels and gastrointestinal tissues, and in pathways associated with smooth muscles, epithelial and endothelial development and morphogenesis. Network transcriptomic analyses of affected tissue from HEM patients highlighted HEM gene co-expression modules that are relevant to the development and integrity of the musculoskeletal and epidermal systems, and the organization of the extracellular matrix. We conclude HEM has a genetic component that predisposes to smooth muscle, epithelial and connective tissue dysfunction.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2020.12.03.20242776
- https://www.medrxiv.org/content/medrxiv/early/2020/12/04/2020.12.03.20242776.full.pdf
- OA Status
- green
- References
- 63
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3112768575
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https://openalex.org/W3112768575Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2020.12.03.20242776Digital Object Identifier
- Title
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Genome-wide analysis of 944,133 individuals provides insights into the etiology of hemorrhoidal diseaseWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
-
2020-12-04Full publication date if available
- Authors
-
Tenghao Zheng, David Ellinghaus, Simonas Juzėnas, François Cossais, Greta Burmeister, Gabriele Mayr, Isabella Friis Jørgensen, Maris Teder‐Laving, Anne Heidi Skogholt, Karina Banasik, Thomas Becker, Frank Bokelmann, Søren Brunak, Stephan Buch, Hartmut Clausnizer, Christian Datz, Frauke Degenhardt, Marek J. Doniec, Christian Erikstrup, Tõnu Esko, Michael Förster, Norbert Frey, Lars G. Fritsche, Maiken E. Gabrielsen, Tobias Gräßle, Andrea Gsur, Justus Groß, Jochen Hampe, Alexander Hendricks, Sebastian Hinz, Kristian Hveem, Johannes Jongen, Ralf Junker, Tom H. Karlsen, Georg Hemmrich‐Stanisak, Wolfgang Kruis, Juozas Kupčinskas, Tilman Laubert, Matthias Laudes, Fabian H. Leendertz, Wolfgang Lieb, Verena Limperger, Nikolaos Margetis, Kerstin Mätz‐Rensing, Christopher Georg Németh, Eivind Ness‐Jensen, Ulrike Nowak‐Göttl, Anita Pandit, Ole Birger Pedersen, H.-G. Peleikis, Kenneth Peuker, Cristina Leal Rodríguez, Malte Rühlemann, Bodo Schniewind, Martin Schulzky, Jurgita Skiecevičienė, Jürgen Tepel, Laurent F. Thomas, Florian Uellendahl-Werth, Henrik Ullum, Ilka Vogel, Henry Völzke, Lorenzo von Fersen, Witigo von Schoenfels, Brett Vanderwerff, Julia Wilking, Michael Wittig, Sebastian Zeißig, Myrko Zobel, Matthew Zawistowski, Vladimir Vacic, Olga V. Sazonova, Elizabeth S. Noblin, Thilo Wedel, Volker Kahlke, Clemens Schafmayer, Mauro D’Amato, André FrankeList of authors in order
- Landing page
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https://doi.org/10.1101/2020.12.03.20242776Publisher landing page
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https://www.medrxiv.org/content/medrxiv/early/2020/12/04/2020.12.03.20242776.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
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https://www.medrxiv.org/content/medrxiv/early/2020/12/04/2020.12.03.20242776.full.pdfDirect OA link when available
- Concepts
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Etiology, Genome-wide association study, Heritability, Biology, Disease, Transcriptome, Extracellular matrix, Population, Genetic architecture, Genetics, Genetic association, Genetic predisposition, Bioinformatics, Gene, Pathology, Quantitative trait locus, Medicine, Gene expression, Single-nucleotide polymorphism, Genotype, Environmental healthTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
- References (count)
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63Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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