1. Multi-population genome-wide association study implicates both immune and non-immune factors in the etiology of pediatric steroid sensitive nephrotic syndrome
- Author
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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, and Matthew G. Sampson
- 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.
- Published
- 2022
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