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
Genetic predisposition to elevated total immunoglobulin E levels defines a distinct adult-onset-predominant asthma phenotype
Download PDF
Download PDF
  • Article
  • Open access
  • Published: 29 January 2026

Genetic predisposition to elevated total immunoglobulin E levels defines a distinct adult-onset-predominant asthma phenotype

  • Takashi Matsuda1,
  • Hironori Masuko1,
  • Yu Ozawa1,
  • Rie Shigemasa2,
  • Haruna Kitazawa1,
  • Yohei Yatagai1 &
  • …
  • Nobuyuki Hizawa1 

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

  • 412 Accesses

  • Metrics details

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
  • Immunology
  • Medical research

Abstract

Asthma heterogeneity remains a major barrier in precision medicine. Although elevated total serum immunoglobulin E (IgE) is a hallmark of asthma, even in nonatopic patients, its causal role in asthma pathogenesis is debated. We hypothesized that genetic predisposition to increased IgE defines a distinct asthma endotype. A genome-wide association study of total serum IgE in 1,287 non-asthmatic Japanese adults was used to construct IgE polygenic risk scores (IgE_PRS). Applying IgE_PRS to 745 patients with asthma, we performed cluster analysis incorporating age at onset, total IgE levels, IgE_PRS, and percent predicted forced expiratory volume in 1 s (pFEV1), identifying four distinct adult asthma phenotypes. Notably, one cluster had the highest IgE_PRS and adult-onset-predominant type 2 inflammation. Conversely, the second cluster displayed the highest IgE levels but average IgE_PRS. The remaining two clusters comprised patients with lower IgE_PRS. One cluster was characterized by eosinophilia and smoking-related airflow limitation, whereas the other exhibited a type 2 low phenotype. In a 10-year retrospective cohort, over 30% of newly diagnosed asthma cases fell into the genetically predisposed high-IgE_PRS cluster. These findings reveal a distinct adult-onset-predominant asthma phenotype driven by genetically determined IgE production, offering new avenues for endotype-driven diagnosis and personalized therapy.

Similar content being viewed by others

Immunotherapy for asthma

Article Open access 27 October 2025

Cut-off value of D. pteronyssinus specific IgE in double negative patients Der p 1 and Der p 2 and its clinical repercussion

Article Open access 08 December 2021

Predictive characteristics to discriminate the longitudinal outcomes of childhood asthma: a retrospective program-based study

Article 24 January 2022

Data availability

The GWAS genotype data of the non-asthmatic controls and asthma patients collected by our group at the University of Tsukuba cannot be deposited in a public repository, since no consent was obtained for deposition ***. However, these data are available upon request (contact: nhizawa@md.tsukuba.ac.jp) for use in research on inflammatory lung diseases.***.

References

  1. Fuhlbrigge, A. L. & Sharma, S. Unraveling the heterogeneity of asthma: decoding subtypes of asthma. J. Allergy Clin. Immunol. 156, 41–50 (2025).

    Google Scholar 

  2. Burrows, B., Martinez, F. D., Halonen, M., Barbee, R. A. & Cline, M. G. Association of asthma with serum IgE levels and skin-test reactivity to allergens. N Engl. J. Med. 320, 271–277 (1989).

    Google Scholar 

  3. Habib, N., Pasha, M. A. & Tang, D. D. Current Understanding of asthma pathogenesis and biomarkers. Cells 11 (2022).

  4. Eggel, A., Pennington, L. F. & Jardetzky, T. S. Therapeutic monoclonal antibodies in allergy: targeting IgE, cytokine, and alarmin pathways. Immunol. Rev. 328, 387–411 (2024).

    Google Scholar 

  5. Kashiwakura, J., Otani, I. M. & Kawakami, T. Monomeric IgE and mast cell development, survival and function. Adv. Exp. Med. Biol. 716, 29–46 (2011).

    Google Scholar 

  6. Asai, K. et al. Regulation of mast cell survival by IgE. Immunity 14, 791–800 (2001).

    Google Scholar 

  7. Chen, M., Su, Q. & Shi, Y. Molecular mechanism of IgE-mediated FcεRI activation. Nature 637, 453–460 (2025).

    Google Scholar 

  8. Hanson, B. et al. Atopic disease and Immunoglobulin E in twins reared apart and together. Am. J. Hum. Genet. 48, 873–879 (1991).

    Google Scholar 

  9. Hopp, R. J., Bewtra, A. K., Watt, G. D., Nair, N. M. & Townley, R. G. Genetic analysis of allergic disease in twins. J. Allergy Clin. Immunol. 73, 265–270 (1984).

    Google Scholar 

  10. Jacobsen, H. P., Herskind, A. M., Nielsen, B. W. & Husby, S. IgE in unselected like-sexed monozygotic and dizygotic twins at birth and at 6 to 9 years of age: high but dissimilar genetic influence on IgE levels. J. Allergy Clin. Immunol. 107, 659–663 (2001).

    Google Scholar 

  11. Granada, M. et al. A genome-wide association study of plasma total IgE concentrations in the Framingham heart study. J. Allergy Clin. Immunol. 129, 840–845e821 (2012).

    Google Scholar 

  12. Yatagai, Y. et al. Genome-wide association study for levels of total serum IgE identifies HLA-C in a Japanese population. PLoS One. 8, e80941 (2013).

    Google Scholar 

  13. Kitazawa, H. et al. ORMDL3/GSDMB genotype as a risk factor for early-onset adult asthma is linked to total serum IgE levels but not to allergic sensitization. Allergol. Int. 70, 55–60 (2021).

    Google Scholar 

  14. Moffatt, M. F. et al. A large-scale, consortium-based genomewide association study of asthma. N Engl. J. Med. 363, 1211–1221 (2010).

    Google Scholar 

  15. Sutoh, Y. et al. Genetic predisposition for Immunoglobulin E production explains atopic risk in children: Tohoku medical megabank cohort study. Am. J. Hum. Genet. 112, 1852–1863 (2025).

    Google Scholar 

  16. Lu, H. F. et al. The genome-wide association study of serum IgE levels demonstrated a shared genetic background in allergic diseases. Clin. Immunol. 260, 109897 (2024).

    Google Scholar 

  17. Burgess, S. & Thompson, S. G. Interpreting findings from Mendelian randomization using the MR-Egger method. Eur. J. Epidemiol. 32, 377–389 (2017).

    Google Scholar 

  18. Marsh, D. G. et al. Genetics of human immune response to allergens. J. Allergy Clin. Immunol. 65, 322–332 (1980).

    Google Scholar 

  19. Caillat-Zucman, S. How NKG2D ligands trigger autoimmunity? Hum. Immunol. 67, 204–207 (2006).

    Google Scholar 

  20. Thomas, S. A. & Lajoie, S. Complement’s involvement in allergic Th2 immunity: a cross-barrier perspective. J Clin. Invest 135 (2025).

  21. Yatagai, Y. et al. Variants near the HLA complex group 22 gene (HCG22) confer increased susceptibility to late-onset asthma in Japanese populations. J. Allergy Clin. Immunol. 138, 281–283e213 (2016).

    Google Scholar 

  22. Xie, W. et al. Genome-Wide analyses reveal gene influence on HIV disease progression and HIV-1 C acquisition in Southern Africa. AIDS Res. Hum. Retroviruses. 33, 597–609 (2017).

    Google Scholar 

  23. Nalls, M. A. et al. Multiple loci are associated with white blood cell phenotypes. PLoS Genet. 7, e1002113 (2011).

    Google Scholar 

  24. Kato, N., Nakanishi, M. & Hirashima, N. Flotillin-1 regulates IgE receptor-mediated signaling in rat basophilic leukemia (RBL-2H3) cells. J. Immunol. 177, 147–154 (2006).

    Google Scholar 

  25. Dang, C. et al. TCF19 drives a broad transcriptional program that potentiates optimal innate and adaptive functions of antiviral NK cells. Nat. Immunol. 26, 1467–1475 (2025).

    Google Scholar 

  26. Oji, V. et al. Loss of Corneodesmosin leads to severe skin barrier defect, pruritus, and atopy: unraveling the peeling skin disease. Am. J. Hum. Genet. 87, 274–281 (2010).

    Google Scholar 

  27. Li, X. et al. Discoidin domain receptor 1(DDR1) promote intestinal barrier disruption in ulcerative colitis through tight junction proteins degradation and epithelium apoptosis. Pharmacol. Res. 183, 106368 (2022).

    Google Scholar 

  28. Paller, A. S., Spergel, J. M., Mina-Osorio, P. & Irvine, A. D. The atopic March and atopic multimorbidity: many trajectories, many pathways. J. Allergy Clin. Immunol. 143, 46–55 (2019).

    Google Scholar 

  29. Calışkan, M. et al. Rhinovirus wheezing illness and genetic risk of childhood-onset asthma. N Engl. J. Med. 368, 1398–1407 (2013).

    Google Scholar 

  30. Lefaudeux, D. et al. U-BIOPRED clinical adult asthma clusters linked to a subset of sputum omics. J. Allergy Clin. Immunol. 139, 1797–1807 (2017).

    Google Scholar 

  31. Konno, S. et al. Distinct phenotypes of smokers with fixed airflow limitation identified by cluster analysis of severe asthma. Ann. Am. Thorac. Soc. 15, 33–41 (2018).

    Google Scholar 

  32. Parnes, J. R. et al. Targeting TSLP in asthma. J. Asthma Allergy. 15, 749–765 (2022).

    Google Scholar 

  33. Tam, V. et al. Benefits and limitations of genome-wide association studies. Nat. Rev. Genet. 20, 467–484 (2019).

    Google Scholar 

  34. Han, M. et al. Comparison of three multiple allergen simultaneous tests: RIDA allergy screen, MAST optigen, and polycheck allergy. Biomed. Res. Int. 340513 2013 (2013).

  35. Verbanck, M., Chen, C. Y., Neale, B. & Do, R. Detection of widespread horizontal Pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases. Nat. Genet. 50, 693–698 (2018).

    Google Scholar 

  36. Yatagai, Y. et al. Expression quantitative trait loci for ETV4 and MEOX1 are associated with adult asthma in Japanese populations. Sci. Rep. 11, 18791 (2021).

    Google Scholar 

  37. Kaneko, Y. et al. Asthma phenotypes in Japanese Adults - Their associations with the CCL5 ADRB2 genotypes. Allergol. Int. 62, 113–121 (2013).

    Google Scholar 

  38. Yatagai, Y. et al. Genomewide association study identifies HAS2 as a novel susceptibility gene for adult asthma in a Japanese population. Clin. Exp. Allergy. 44, 1327–1334 (2014).

    Google Scholar 

  39. Ren, J. et al. Asian screening array and Next-Generation sequencing based panels applied to preimplantation genetic testing for Monogenic disorders preclinical workup in 294 families: A retrospective analysis. Prenat Diagn. 44, 1344–1353 (2024).

    Google Scholar 

  40. Choi, S. W., Mak, T. S. & O’Reilly, P. F. Tutorial: a guide to performing polygenic risk score analyses. Nat. Protoc. 15, 2759–2772 (2020).

    Google Scholar 

  41. Turner, S. et al. Quality control procedures for genome-wide association studies. Curr Protoc Hum Genet Chap. 1, Unit1.19 (2011).

  42. Wolthers, O. D. & Staberg, M. The usefulness of the multiple allergen simultaneous test-chemiluminescent as compared to the Phadia Immunocap IgE test panel system in children and adolescents. Recent. Pat. Inflamm. Allergy Drug Discov. 7, 96–99 (2013).

    Google Scholar 

  43. Toyota, H. et al. Comprehensive analysis of allergen-specific IgE in COPD: mite-specific IgE specifically related to the diagnosis of asthma-COPD overlap. Allergy Asthma Clin. Immunol. 17, 13 (2021).

    Google Scholar 

  44. Kanazawa, J. et al. How important is allergic sensitization as a cause of atopic asthma? Allergol. Int. 67, 292–294 (2018).

    Google Scholar 

  45. Heeringa, J. J. et al. IgE-expressing memory B cells and plasmablasts are increased in blood of children with asthma, food allergy, and atopic dermatitis. Allergy 73, 1331–1336 (2018).

    Google Scholar 

  46. Sakaue, S. et al. Trans-biobank analysis with 676,000 individuals elucidates the association of polygenic risk scores of complex traits with human lifespan. Nat. Med. 26, 542–548 (2020).

    Google Scholar 

  47. Choi, S. W. & O’Reilly, P. F. PRSice-2: polygenic risk score software for biobank-scale data. Gigascience 8 (2019).

  48. Privé, F., Vilhjálmsson, B. J., Aschard, H. & Blum, M. G. B. Making the most of clumping and thresholding for polygenic scores. Am. J. Hum. Genet. 105, 1213–1221 (2019).

    Google Scholar 

  49. Higgins, J. P. T. et al. VA. Cochrane Handbook for Systematic Reviews of Interventions. version 6.5 ednCochrane, (2024).

  50. Watanabe, K., Taskesen, E., van Bochoven, A. & Posthuma, D. Functional mapping and annotation of genetic associations with FUMA. Nat. Commun. 8, 1826 (2017).

    Google Scholar 

  51. Shigemasa, R. et al. Genetic impact of CDHR3 on the adult onset of asthma and COPD. Clin. Exp. Allergy. 50, 1223–1229 (2020).

    Google Scholar 

  52. Tibshirani, R., Hastie, T., Narasimhan, B. & Chu, G. Diagnosis of multiple cancer types by shrunken centroids of gene expression. Proc. Natl. Acad. Sci. U S A. 99, 6567–6572 (2002).

    Google Scholar 

Download references

Acknowledgements

We thank Ms. Takako Nakamura for her assistance with the genotyping.

Funding

The authors received no funding for this work.

Author information

Authors and Affiliations

  1. Department of Respiratory Medicine, Institute of Medicine, University of Tsukuba, Ibaraki, Japan

    Takashi Matsuda, Hironori Masuko, Yu Ozawa, Haruna Kitazawa, Yohei Yatagai & Nobuyuki Hizawa

  2. Department of Respiratory Medicine, Kasumigaura Medical Center, Ibaraki, Japan

    Rie Shigemasa

Authors
  1. Takashi Matsuda
    View author publications

    Search author on:PubMed Google Scholar

  2. Hironori Masuko
    View author publications

    Search author on:PubMed Google Scholar

  3. Yu Ozawa
    View author publications

    Search author on:PubMed Google Scholar

  4. Rie Shigemasa
    View author publications

    Search author on:PubMed Google Scholar

  5. Haruna Kitazawa
    View author publications

    Search author on:PubMed Google Scholar

  6. Yohei Yatagai
    View author publications

    Search author on:PubMed Google Scholar

  7. Nobuyuki Hizawa
    View author publications

    Search author on:PubMed Google Scholar

Contributions

T.M., H.M., and N.H. organized and designed the study. T.M., H.M., Y.O., R.S., H.K., Y.Y., and N.H. participated in sample collection and contributed to data analysis.T.M., H.M., and N.H. drafted the manuscript. All the authors have read and approved the final manuscript.

Corresponding author

Correspondence to Hironori Masuko.

Ethics declarations

Competing interests

The authors declare no competing interests.

Ethics approval and consent to participate

This study was approved as part of the research project titled “Genetic Predisposition to Inflammatory Obstructive Pulmonary Diseases” (a human genome and gene analysis research project) by the Institutional Review Boards (IRBs) of the University of Tsukuba (IRB No. 136-4) and the University of Tsukuba Hospital (IRB No. H29-294).

Informed consent

Written informed consent was obtained from all participants, and all procedures were conducted in accordance with the Ethical Guidelines for Human Genome/Gene Analysis Research established by the three ministries of the Japanese government.

Additional information

Publisher’s note

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

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary Material 1

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, 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 changes were made. 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/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Matsuda, T., Masuko, H., Ozawa, Y. et al. Genetic predisposition to elevated total immunoglobulin E levels defines a distinct adult-onset-predominant asthma phenotype. Sci Rep (2026). https://doi.org/10.1038/s41598-026-37679-5

Download citation

  • Received: 12 August 2025

  • Accepted: 23 January 2026

  • Published: 29 January 2026

  • DOI: https://doi.org/10.1038/s41598-026-37679-5

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

Keywords

  • Asthma
  • Immunoglobulin E
  • Genome-wide association study
  • IgE polygenic risk scores
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