A genome-wide association study with tissue transcriptomics identifies genetic drivers for classic bladder exstrophy.

Publication

A genome-wide association study with tissue transcriptomics identifies genetic drivers for classic bladder exstrophy.

Journal Paper/Review - Nov 9, 2022

Mingardo Enrico, Beaman Glenda, Grote Philip, Nordenskjöld Agneta, Newman William, Woolf Adrian S, Eckstein Markus, Hilger Alina C, Dworschak Gabriel C, Rösch Wolfgang, Ebert Anne-Karolin, Stein Raimund, Brusco Alfredo, Di Grazia Massimo, Tamer Ali, Torres Federico M, Hernandez Jose L, Erben Philipp, Maj Carlo, Olmos Jose M, Riancho Jose A, Valero Carmen, Hostettler Isabel C, Houlden Henry, Werring David J, Schumacher Johannes, Gehlen Jan, Giel Ann-Sophie, Buerfent Benedikt C, Arkani Samara, Åkesson Elisabeth, Rotstein Emilia, Ludwig Michael, Holmdahl Gundela, Giorgio Elisa, Berettini Alfredo, Keene David, Cervellione Raimondo M, Younsi Nina, Ortlieb Melissa, Oswald Josef, Haid Bernhard, Promm Martin, Neissner Claudia, Hirsch Karin, Stehr Maximilian, Schäfer Frank-Mattias, Schmiedeke Eberhard, Boemers Thomas M, van Rooij Iris A L M, Feitz Wouter F J, Marcelis Carlo L M, Lacher Martin, Nelson Jana, Ure Benno, Fortmann Caroline, Gale Daniel P, Chan Melanie M Y, Ludwig Kerstin U, Nöthen Markus M, Heilmann Stefanie, Zwink Nadine, Jenetzky Ekkehart, Odermatt Benjamin, Knapp Michael, Reutter Heiko

Citation

Mingardo E, Beaman G, Grote P, Nordenskjöld A, Newman W, Woolf A, Eckstein M, Hilger A, Dworschak G, Rösch W, Ebert A, Stein R, Brusco A, Di Grazia M, Tamer A, Torres F, Hernandez J, Erben P, Maj C, Olmos J, Riancho J, Valero C, Hostettler I, Houlden H, Werring D, Schumacher J, Gehlen J, Giel A, Buerfent B, Arkani S, Åkesson E, Rotstein E, Ludwig M, Holmdahl G, Giorgio E, Berettini A, Keene D, Cervellione R, Younsi N, Ortlieb M, Oswald J, Haid B, Promm M, Neissner C, Hirsch K, Stehr M, Schäfer F, Schmiedeke E, Boemers T, van Rooij I, Feitz W, Marcelis C, Lacher M, Nelson J, Ure B, Fortmann C, Gale D, Chan M, Ludwig K, Nöthen M, Heilmann S, Zwink N, Jenetzky E, Odermatt B, Knapp M, Reutter H. A genome-wide association study with tissue transcriptomics identifies genetic drivers for classic bladder exstrophy. Commun Biol 2022; 5:1203.

Type

Journal Paper/Review (English)

Journal

Commun Biol 2022; 5

Publication Date

Nov 9, 2022

Issn Electronic

2399-3642

Pages

1203

Brief description/objective

Classic bladder exstrophy represents the most severe end of all human congenital anomalies of the kidney and urinary tract and is associated with bladder cancer susceptibility. Previous genetic studies identified one locus to be involved in classic bladder exstrophy, but were limited to a restrict number of cohort. Here we show the largest classic bladder exstrophy genome-wide association analysis to date where we identify eight genome-wide significant loci, seven of which are novel. In these regions reside ten coding and four non-coding genes. Among the coding genes is EFNA1, strongly expressed in mouse embryonic genital tubercle, urethra, and primitive bladder. Re-sequence of EFNA1 in the investigated classic bladder exstrophy cohort of our study displays an enrichment of rare protein altering variants. We show that all coding genes are expressed and/or significantly regulated in both mouse and human embryonic developmental bladder stages. Furthermore, nine of the coding genes residing in the regions of genome-wide significance are differentially expressed in bladder cancers. Our data suggest genetic drivers for classic bladder exstrophy, as well as a possible role for these drivers to relevant bladder cancer susceptibility.