2021-04-22Zeitschriftenartikel
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
DBDS Consortium
Degenhardt, Frauke
Doniec, Marek
Erikstrup, Christian
Esko, Tõnu
Forster, Michael
Frey, Norbert
Fritsche, Lars G.
Elvestad Gabrielsen, Maiken
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, Jouzas
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
Birger Pedersen, Ole
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.
The 23andMe Research Team
Farrugia, Gianrico
Beyder, Arthur
Wedel, Thilo
Kahlke, Volker
Schafmayer, Clemens
D'Amato, Mauro
Franke, Andre
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.
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