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Genome-wide analysis of 944,133 individuals provides insights into the etiology of hemorrhoidal disease

Authors :
Brett Vanderwerff
Maiken Elvestad Gabrielsen
Hans Günter Peleikis
Isabella Friis Jørgensen
Mauro D'Amato
Jurgita Skieceviciene
Nikolaos Margetis
Anne Heidi Skogholt
Juozas Kupcinskas
Anita Pandit
Lars G. Fritsche
Tilman Laubert
Andrea Gsur
Justus Gross
Michael Forster
Fabian H. Leendertz
Olga V. Sazonova
Simonas Juzenas
Christian Datz
Karina Banasik
François Cossais
Witigo von Schoenfels
Jochen Hampe
Thomas Becker
Ulrike Nowak-Göttl
Malte C. Rühlemann
Marek Doniec
Henry Völzke
Ralf Junker
Cristina Leal Rodríguez
Christopher Georg Németh
Julia Wilking
Thilo Wedel
Tom H. Karlsen
Michael Wittig
Jürgen Tepel
Alexander Hendricks
Volker Kahlke
Matthew Zawistowski
Laurent F. Thomas
Bodo Schniewind
Gabriele Mayr
Greta Burmeister
Matthias Laudes
Kerstin Mätz-Rensing
Maris Teder-Laving
Georg Hemmrich-Stanisak
Vladimir Vacic
Hartmut Clausnizer
Tobias Gräßle
David Ellinghaus
Frank Bokelmann
Eivind Ness-Jensen
Clemens Schafmayer
Andre Franke
Martin Schulzky
Norbert Frey
Tenghao Zheng
Verena Limperger
Henrik Ullum
Sebastian Hinz
Sebastian Zeissig
Elizabeth S. Noblin
Myrko Zobel
Kristian Hveem
Ilka Vogel
Florian Uellendahl-Werth
Søren Brunak
Lorenzo von Fersen
Wolfgang Lieb
Johannes Jongen
Tõnu Esko
Christian Erikstrup
Frauke Degenhardt
Kenneth Peuker
Stephan Buch
Wolfgang Kruis
Ole Birger Pedersen
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

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.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........24d4597c014dc7611d7669cc2822932f
Full Text :
https://doi.org/10.1101/2020.12.03.20242776