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Multi-population genome-wide association study implicates immune and non-immune factors in 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 Cheong
Gian Marco Ghiggeri
Prayong Vachvanichsanong
Kandai Nozu
Dongwon Lee
Marina Vivarelli
Soumya Raychaudhuri
Katsushi Tokunaga
Simone Sanna-Cherchi
Pierre Ronco
Kazumoto Iijima
Matthew G. Sampson
Source :
Nature Communications, Vol 14, Iss 1, Pp 1-13 (2023)
Publication Year :
2023
Publisher :
Nature Portfolio, 2023.

Abstract

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 independent risk loci. But the genetic architecture of pSSNS, and its genetically driven pathobiology, is largely unknown. Here, we conduct a multi-population GWAS meta-analysis in 38,463 participants (2440 cases). We then conduct conditional analyses and population specific GWAS. We discover twelve significant associations—eight from the multi-population meta-analysis (four novel), two from the multi-population conditional analysis (one novel), and two additional novel loci from the European meta-analysis. Fine-mapping implicates specific amino acid haplotypes in HLA-DQA1 and HLA-DQB1 driving the HLA Class II risk locus. Non-HLA loci colocalize with eQTLs of monocytes and numerous T-cell subsets in independent datasets. Colocalization with kidney eQTLs is lacking but overlap with kidney cell open chromatin suggests an uncharacterized disease mechanism in kidney cells. A polygenic risk score (PRS) associates with earlier disease onset. Altogether, these discoveries expand our knowledge of pSSNS genetic architecture across populations and provide cell-specific insights into its molecular drivers. Evaluating these associations in additional cohorts will refine our understanding of population specificity, heterogeneity, and clinical and molecular associations.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
14
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.1df6c689ebb545a68dd4d7a57a5fefc6
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-023-37985-w