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Multi-population genome-wide association study implicates both immune and non-immune factors in the etiology of pediatric steroid sensitive nephrotic syndrome

Authors :
Alexandra Barry
Michelle T. McNulty
Xiaoyuan Jia
Yask Gupta
Hanna Debiec
Yang Luo
China Nagano
Tomoko Horinouchi
Seulgi Jung
Manuela Colucci
Dina F. Ahram
Adele Mitrotti
Aditi Sinha
Nynke Teeninga
Gina Jin
Shirlee Shril
Gianluca Caridi
Monica Bodria
Tze Y Lim
Rik Westland
Francesca Zanoni
Maddalena Marasa
Daniel Turudic
Mario Giordano
Loreto Gesualdo
Riccardo Magistroni
Isabella Pisani
Enrico Fiaccadori
Jana Reiterova
Silvio Maringhini
William Morello
Giovanni Montini
Patricia L. Weng
Francesco Scolari
Marijan Saraga
Velibor Tasic
Domenica Santoro
Joanna A.E. van Wijk
Danko Milošević
Yosuke Kawai
Krzysztof Kiryluk
Martin R. Pollak
Ali Gharavi
Fangmin Lin
Ana Cristina Simœs e Silva
Ruth J.F. Loos
Eimear E. Kenny
Michiel F. Schreuder
Aleksandra Zurowska
Claire Dossier
Gema Ariceta
Magdalena Drozynska-Duklas
Julien Hogan
Augustina Jankauskiene
Friedhelm Hildebrandt
Larisa Prikhodina
Kyuyoung Song
Arvind Bagga
Hae Il Cheong
Gian Marco Ghiggeri
Prayong Vachvanichsanong
Kandai Nozu
Marina Vivarelli
Soumya Raychaudhuri
Katsushi Tokunaga
Simone Sanna-Cherchi
Pierre Ronco
Kazumoto Iijima
Matthew G. Sampson
Publication Year :
2022
Publisher :
Cold Spring Harbor Laboratory, 2022.

Abstract

Pediatric steroid-sensitive nephrotic syndrome (pSSNS) is the most common childhood glomerular disease. Previous genome-wide association studies (GWAS) identified a risk locus in the HLA Class II region and three additional signals. But the genetic architecture of pSSNS, and its genetically driven pathobiology, is largely unknown. We conducted a multi-population GWAS meta-analysis in 38,463 participants (2,440 cases) and population specific GWAS, discovering twelve significant associations (eight novel). Fine-mapping implicated specific amino acid haplotypes in HLA-DQA1 and HLA-DQB1 driving the HLA Class II risk signal. Non-HLA loci colocalized with eQTLs of monocytes and numerous T-cell subsets in independent datasets. Colocalization with kidney eQTLs was lacking, but overlap with kidney cell open chromatin suggests an uncharacterized disease mechanism in kidney cells. A polygenic risk score (PRS) associated with earlier disease onset in two independent cohorts. Altogether, these discoveries expand our knowledge of pSSNS genetic architecture across populations and provide cellspecific insights into its molecular drivers.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........a675f9967e5fb542d7ca8887a5106993
Full Text :
https://doi.org/10.1101/2022.09.13.22279644