Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Advertisement

Scientific Reports
  • View all journals
  • Search
  • My Account Login
  • Content Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • RSS feed
  1. nature
  2. scientific reports
  3. articles
  4. article
Polygenic risk score from steroid-sensitive nephrotic syndrome GWAS indicates overlapping genetic basis with steroid-resistant cases
Download PDF
Download PDF
  • Article
  • Open access
  • Published: 03 February 2026

Polygenic risk score from steroid-sensitive nephrotic syndrome GWAS indicates overlapping genetic basis with steroid-resistant cases

  • Cong Wang1 na1,
  • Guotao Yin2 na1,
  • Yidi Zhou3,
  • Yingchao Song4,
  • Minle Tian5,
  • Xiaoyuan Wang1,
  • Jing Wang1,
  • Qian Li1,
  • Ruixian Zang1,
  • Zhenle Yang1,
  • Lichun Yu1,
  • Suwen Liu1,
  • Li Wang1,
  • Xiujun Yao1,
  • Aihua Zhou1,
  • Xiao Chang4 &
  • …
  • Shuzhen Sun1 

Scientific Reports , Article number:  (2026) Cite this article

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Diseases
  • Genetics
  • Medical research

Abstract

​​Pediatric idiopathic nephrotic syndrome (INS) includes steroid-sensitive (SSNS) and steroid-resistant (SRNS) forms, which differ in treatment response and prognosis. We constructed a polygenic risk score (PRS) using summary statistics from the largest pediatric SSNS GWAS meta-analysis (2,440 cases and 36,023 controls) and evaluated it in an independent Chinese cohort of 2,507 controls, 123 SRNS patients, and 493 SSNS patients. ANOVA showed significant between-group differences (F (2, 3120) = 59.42, P < 2 × 10⁻¹⁶). Post-hoc tests revealed higher PRS in SSNS than controls (P < 0.001), with SRNS intermediate but still elevated compared to controls (P = 0.021) and lower than SSNS (P = 0.001). The elevation of SSNS-derived PRS in SRNS suggests shared polygenic susceptibility between these clinically distinct forms of INS, indicating that overlapping common variants may converge on similar biological pathways and supporting the potential utility of PRS in genetic risk stratification and guiding precision management.

Data availability

Upon reasonable request, the corresponding author will provide the dataset.

References

  1. Floege, J. et al. KDIGO 2025 clinical practice guideline for the management of nephrotic syndrome in children. Kidney Int. 107, S241–s289 (2025).

    Google Scholar 

  2. Vivarelli, M., Gibson, K., Sinha, A. & Boyer, O. Childhood nephrotic syndrome. Lancet 402, 809–824 (2023).

    Google Scholar 

  3. Noone, D. G., Iijima, K. & Parekh, R. Idiopathic nephrotic syndrome in children. Lancet 392, 61–74 (2018).

    Google Scholar 

  4. Sadowski, C. E. et al. A single-gene cause in 29.5% of cases of steroid-resistant nephrotic syndrome. J. Am. Soc. Nephrol. 26, 1279–1289 (2015).

    Google Scholar 

  5. Kestilä, M. et al. Positionally cloned gene for a novel glomerular protein–nephrin–is mutated in congenital nephrotic syndrome. Mol. Cell. 1, 575–582 (1998).

    Google Scholar 

  6. Bierzynska, A. et al. Genomic and clinical profiling of a National nephrotic syndrome cohort advocates a precision medicine approach to disease management. Kidney Int. 91, 937–947 (2017).

    Google Scholar 

  7. Barry, A. et al. Multi-population genome-wide association study implicates immune and non-immune factors in pediatric steroid-sensitive nephrotic syndrome. Nat. Commun. 14, 2481 (2023).

    Google Scholar 

  8. Dikilitas, O. et al. Predictive utility of polygenic risk scores for coronary heart disease in three major Racial and ethnic groups. Am. J. Hum. Genet. 106, 707–716 (2020).

    Google Scholar 

  9. Liu, C. et al. Generalizability of polygenic risk scores for breast cancer among women with European, African, and Latinx ancestry. JAMA Netw. Open. 4, e2119084 (2021).

    Google Scholar 

  10. Conti, D. V. et al. Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction. Nat. Genet. 53, 65–75 (2021).

    Google Scholar 

  11. Khan, A. & Kiryluk, K. Polygenic scores and their applications in kidney disease. Nat. Rev. Nephrol. 21, 24–38 (2025).

    Google Scholar 

  12. Ge, T., Chen, C. Y., Ni, Y., Feng, Y. A. & Smoller, J. W. Polygenic prediction via bayesian regression and continuous shrinkage priors. Nat. Commun. 10, 1776 (2019).

    Google Scholar 

  13. Ruan, Y. et al. Improving polygenic prediction in ancestrally diverse populations. Nat. Genet. 54, 573–580 (2022).

    Google Scholar 

Download references

Funding

The study was supported by grants from the Shandong Provincial Natural Science Foundation (ZR2021QH223, ZR2022MH120, ZR2022QH064), Special Funds of Taishan Scholar Project, China (tsqn202211224), the National Natural Science Foundation of China (32270661), Excellent Youth Science Fund Project (Overseas) of Shandong China (2023HWYQ-082), Shandong Postdoctoral Science Foundation (SDCX-ZG-202400042) and Shandong Province Higher Education Institution Youth Innovation and Technology Support Program (2023KJ179).

Author information

Author notes
  1. Cong Wang and Guotao Yin contributed equally to this work.

Authors and Affiliations

  1. Department of Pediatric Nephrology and Rheumatism and Immunology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 324 Jingwu Road, Jinan, China

    Cong Wang, Xiaoyuan Wang, Jing Wang, Qian Li, Ruixian Zang, Zhenle Yang, Lichun Yu, Suwen Liu, Li Wang, Xiujun Yao, Aihua Zhou & Shuzhen Sun

  2. Department of Radiology , Qilu Hospital of Shandong University , Jinan, China

    Guotao Yin

  3. School of Pharmacy , Yantai University , Yantai, China

    Yidi Zhou

  4. College of Medical Information and Artificial Intelligence, Shandong First Medical University, 6699 Qingdao Road, Jinan, China

    Yingchao Song & Xiao Chang

  5. Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China

    Minle Tian

Authors
  1. Cong Wang
    View author publications

    Search author on:PubMed Google Scholar

  2. Guotao Yin
    View author publications

    Search author on:PubMed Google Scholar

  3. Yidi Zhou
    View author publications

    Search author on:PubMed Google Scholar

  4. Yingchao Song
    View author publications

    Search author on:PubMed Google Scholar

  5. Minle Tian
    View author publications

    Search author on:PubMed Google Scholar

  6. Xiaoyuan Wang
    View author publications

    Search author on:PubMed Google Scholar

  7. Jing Wang
    View author publications

    Search author on:PubMed Google Scholar

  8. Qian Li
    View author publications

    Search author on:PubMed Google Scholar

  9. Ruixian Zang
    View author publications

    Search author on:PubMed Google Scholar

  10. Zhenle Yang
    View author publications

    Search author on:PubMed Google Scholar

  11. Lichun Yu
    View author publications

    Search author on:PubMed Google Scholar

  12. Suwen Liu
    View author publications

    Search author on:PubMed Google Scholar

  13. Li Wang
    View author publications

    Search author on:PubMed Google Scholar

  14. Xiujun Yao
    View author publications

    Search author on:PubMed Google Scholar

  15. Aihua Zhou
    View author publications

    Search author on:PubMed Google Scholar

  16. Xiao Chang
    View author publications

    Search author on:PubMed Google Scholar

  17. Shuzhen Sun
    View author publications

    Search author on:PubMed Google Scholar

Contributions

Cong Wang and Guotao Yin: Writing—original draft, Data curation, Conceptualization. Yidi Zhou and Yingchao Song: Formal analysis, Data curation. Minle Tian, Xiaoyuan Wang, Jing Wang, Qian Li and Ruixian Zang: Resources, Methdology. Zhenle Yang, Lichun Yu, Suwen Liu, Li Wang, Xiujun Yao and Aihua Zhou: Methodology, Visualization, Software. Shuzhen Sun and Xiao Chang: Conceptualization, Writing—review & editing, Funding acquisition.

Corresponding authors

Correspondence to Xiao Chang or Shuzhen Sun.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, C., Yin, G., Zhou, Y. et al. Polygenic risk score from steroid-sensitive nephrotic syndrome GWAS indicates overlapping genetic basis with steroid-resistant cases. Sci Rep (2026). https://doi.org/10.1038/s41598-026-38189-0

Download citation

  • Received: 16 August 2025

  • Accepted: 29 January 2026

  • Published: 03 February 2026

  • DOI: https://doi.org/10.1038/s41598-026-38189-0

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Download PDF

Advertisement

Explore content

  • Research articles
  • News & Comment
  • Collections
  • Subjects
  • Follow us on Facebook
  • Follow us on Twitter
  • Sign up for alerts
  • RSS feed

About the journal

  • About Scientific Reports
  • Contact
  • Journal policies
  • Guide to referees
  • Calls for Papers
  • Editor's Choice
  • Journal highlights
  • Open Access Fees and Funding

Publish with us

  • For authors
  • Language editing services
  • Open access funding
  • Submit manuscript

Search

Advanced search

Quick links

  • Explore articles by subject
  • Find a job
  • Guide to authors
  • Editorial policies

Scientific Reports (Sci Rep)

ISSN 2045-2322 (online)

nature.com sitemap

About Nature Portfolio

  • About us
  • Press releases
  • Press office
  • Contact us

Discover content

  • Journals A-Z
  • Articles by subject
  • protocols.io
  • Nature Index

Publishing policies

  • Nature portfolio policies
  • Open access

Author & Researcher services

  • Reprints & permissions
  • Research data
  • Language editing
  • Scientific editing
  • Nature Masterclasses
  • Research Solutions

Libraries & institutions

  • Librarian service & tools
  • Librarian portal
  • Open research
  • Recommend to library

Advertising & partnerships

  • Advertising
  • Partnerships & Services
  • Media kits
  • Branded content

Professional development

  • Nature Awards
  • Nature Careers
  • Nature Conferences

Regional websites

  • Nature Africa
  • Nature China
  • Nature India
  • Nature Japan
  • Nature Middle East
  • Privacy Policy
  • Use of cookies
  • Legal notice
  • Accessibility statement
  • Terms & Conditions
  • Your US state privacy rights
Springer Nature

© 2026 Springer Nature Limited

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing