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

Nature Communications
  • 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. nature communications
  3. articles
  4. article
Mapping the heritability of disease: a nationwide study
Download PDF
Download PDF
  • Article
  • Open access
  • Published: 17 March 2026

Mapping the heritability of disease: a nationwide study

  • Janne Auning  ORCID: orcid.org/0000-0001-6240-71701,2,3,
  • Betina B. Trabjerg1,3,
  • Julie Werenberg Dreier  ORCID: orcid.org/0000-0002-9339-41701,3,
  • Bjarni Jóhann Vilhjálmsson  ORCID: orcid.org/0000-0003-2277-92491,4,5 na1 &
  • …
  • Jakob Christensen  ORCID: orcid.org/0000-0002-9385-64352,6 na1 

Nature Communications , Article number:  (2026) Cite this article

  • 3448 Accesses

  • 3 Altmetric

  • 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
  • Epidemiology
  • Heritable quantitative trait

Abstract

Heritability estimates are essential for understanding genetic and environmental contributions to disease, yet large-scale studies remain scarce. In this study, we leverage the Danish national health registers, including medical records for more than 10 million individuals, to estimate heritability for more than 1000 health outcomes. We estimate heritability using both twins and siblings born in Denmark between 1955-2021, providing insight into the influence of shared sibling environment with estimates that show strong concordance with published twin studies and meta-analyses. We consider the impact of left-truncation by conducting analyses in both the full cohort and in individuals born after 1977. In a nested genotype case-cohort sample, we contrasted twin- and sibling-based heritabilities for psychiatric and neurological disorders with single-nucleotide polymorphism (SNP)-heritability, revealing disorder-specific “missing heritability” gaps. Together, these results map disease heritability in a single population, providing comprehensive insights for future genetic studies and preventive strategies using population health registers.

Similar content being viewed by others

Uncovering the heritable components of multimorbidities and disease trajectories using a nationwide cohort

Article Open access 28 August 2024

Combining SNP-to-gene linking strategies to identify disease genes and assess disease omnigenicity

Article 06 June 2022

The predicament of heritable confounders

Article 13 January 2026

Data availability

Data are not publicly available due to Danish data protection regulations. The study used individual-level data from the Danish Civil Registration System, the Danish National Patient Register, and the iPSYCH case-cohort sample, which are protected under national legislation. Data can only be accessed through secure servers and international researchers need a collaboration with a Danish research institution.

Maps to translate diagnosis codes can be found at ref. 31 (ICD8 to ICD10) and https://phewascatalog.org/phewas/#phe12 (ICD10 to phecodes).

Code availability

Code used to map ICD10 diagnosis codes to phecodes and to generate results can be found at https://github.com/janneah/heritability, https://doi.org/10.5281/zenodo.18480233.

References

  1. Chatterjee, N., Shi, J. & Garcia-Closas, M. Developing and evaluating polygenic risk prediction models for stratified disease prevention. Nat. Rev. Genet. 17, 392–406 (2016).

    Google Scholar 

  2. Lakhani, C. M. et al. Repurposing large health insurance claims data to estimate genetic and environmental contributions in 560 phenotypes. Nat. Genet. 51, 327–334 (2019).

    Google Scholar 

  3. Polderman, T. J. et al. Meta-analysis of the heritability of human traits based on fifty years of twin studies. Nat. Genet. 47, 702–709 (2015).

    Google Scholar 

  4. Falconer, D. S. & Mackay, T. F. C. Introduction to Quantitative Genetics, (Benjamin-Cummings Pub Co, 1996).

  5. Boomsma, D., Busjahn, A. & Peltonen, L. Classical twin studies and beyond. Nat. Rev. Genet. 3, 872–882 (2002).

    Google Scholar 

  6. Lykken, D. T., McGue, M. & Tellegen, A. Recruitment bias in twin research: the rule of two-thirds reconsidered. Behav. Genet. 17, 343–362 (1987).

    Google Scholar 

  7. Tambs, K. et al. The Norwegian Institute of Public Health twin study of mental health: examining recruitment and attrition bias. Twin Res. Hum. Genet. 12, 158–168 (2009).

    Google Scholar 

  8. Schoeler, T. et al. Participation bias in the UK Biobank distorts genetic associations and downstream analyses. Nat. Hum. Behav. 7, 1216–1227 (2023).

    Google Scholar 

  9. Skytthe, A., Kyvik, K. O., Holm, N. V. & Christensen, K. The Danish Twin Registry. Scand. J. Public Health 39, 75–78 (2011).

    Google Scholar 

  10. Pedersen, D. A. et al. The Danish Twin Registry: an updated overview. Twin Res. Hum. Genet. 22, 499–507 (2019).

    Google Scholar 

  11. Barry, C. J. S. et al. How to estimate heritability: a guide for genetic epidemiologists. Int. J. Epidemiol. 52, 624–632 (2023).

    Google Scholar 

  12. Manolio, T. A. et al. Finding the missing heritability of complex diseases. Nature 461, 747–753 (2009).

    Google Scholar 

  13. McGuire, D. et al. Dissecting heritability, environmental risk, and air pollution causal effects using > 50 million individuals in MarketScan. Nat. Commun. 15, 5357 (2024).

    Google Scholar 

  14. Polubriaginof, F. C. G. et al. Disease heritability inferred from familial relationships reported in medical records. Cell 173, 1692–1704 e11 (2018).

    Google Scholar 

  15. Wang, K., Gaitsch, H., Poon, H., Cox, N. J. & Rzhetsky, A. Classification of common human diseases derived from shared genetic and environmental determinants. Nat. Genet. 49, 1319–1325 (2017).

    Google Scholar 

  16. Westergaard, D. et al. Uncovering the heritable components of multimorbidities and disease trajectories: a nationwide cohort study. Nat. Commun. 15, 7457 (2024).

  17. Cain, K. C. et al. Bias Due to left truncation and left censoring in longitudinal studies of developmental and disease processes. Am. J. Epidemiol. 173, 1078–1084 (2011).

    Google Scholar 

  18. Sondhi, A. Estimating survival parameters under conditionally independent left truncation. Pharm. Stat. 21, 895–906 (2022).

    Google Scholar 

  19. Hazelbag, C. M., Klungel, O. H., van Staa, T. P., de Boer, A. & Groenwold, R. H. H. Left truncation results in substantial bias of the relation between time-dependent exposures and adverse events. Ann. Epidemiol. 25, 590–596 (2015).

    Google Scholar 

  20. Tenesa, A. & Haley, C. S. The heritability of human disease: estimation, uses and abuses. Nat. Rev. Genet. 14, 139–149 (2013).

    Google Scholar 

  21. Owen, M. J. & Williams, N. M. Explaining the missing heritability of psychiatric disorders. World Psychiatry 20, 294–295 (2021).

    Google Scholar 

  22. International League Against Epilepsy Consortium on Complex, E. GWAS meta-analysis of over 29,000 people with epilepsy identifies 26 risk loci and subtype-specific genetic architecture. Nat. Genet. 55, 1471–1482 (2023).

  23. Berkovic, S. F. & Scheffer, I. E. Febrile seizures: genetics and relationship to other epilepsy syndromes. Curr. Opin. Neurol. 11, 129–134 (1998).

    Google Scholar 

  24. Epi, C. Exome sequencing of 20,979 individuals with epilepsy reveals shared and distinct ultra-rare genetic risk across disorder subtypes. Nat. Neurosci. 27, 1864–1879 (2024).

    Google Scholar 

  25. Athanasiadis, G. et al. A comprehensive map of genetic relationships among diagnostic categories based on 48.6 million relative pairs from the Danish genealogy. Proc. Natl. Acad. Sci. USA. 119, e2118688119. (2022).

    Google Scholar 

  26. Pedersen, C. B. The Danish Civil Registration System. Scand. J. Public Health 39, 22–25 (2011).

    Google Scholar 

  27. Lynge, E., Sandegaard, J. L. & Rebolj, M. The Danish National Patient Register. Scand. J. Public Health 39, 30–33 (2011).

    Google Scholar 

  28. Plana-Ripoll, O. et al. Analysis of mortality metrics associated with a comprehensive range of disorders in Denmark, 2000 to 2018: A population-based cohort study. PloS Med. 19, e1004023 (2022).

    Google Scholar 

  29. Denny, J. C. et al. Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data. Nat. Biotechnol. 31, 1102–1110 (2013).

    Google Scholar 

  30. Bastarache, L. Using Phecodes for Research with the Electronic Health Record: From PheWAS to PheRS. Annu. Rev. Biomed. Data Sci. 4, 1–19 (2021).

    Google Scholar 

  31. Pedersen, M. K. et al. A unidirectional mapping of ICD-8 to ICD-10 codes, for harmonized longitudinal analysis of diseases. Eur. J. Epidemiol. 38, 1043–1052 (2023).

    Google Scholar 

  32. Christensen, J., Vestergaard, M., Olsen, J. & Sidenius, P. Validation of epilepsy diagnoses in the Danish National Hospital Register. Epilepsy Res. 75, 162–170 (2007).

    Google Scholar 

  33. Pedersen, C. B. et al. A Comprehensive nationwide study of the incidence rate and lifetime risk for treated mental disorders. JAMA Psychiatry 71, 573–581 (2014).

    Google Scholar 

  34. Weinberg, W. Beiträge zur Physiologie und Pathologie der Mehrlingsgeburten Beim Menschen. Pflüger., Arch. 88, 638 (1901).

    Google Scholar 

  35. Davison, A. C. & Hinkley, D. V. Bootstrap Methods and Their Applications (Cambridge University Press, Cambridge, 1997).

  36. Canty, A. & Ripley, B. D. boot: Bootstrap R (S-Plus) Functions. (R package version 1.3-31, 2024).

  37. Benjamini, Y. & Hochberg, Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. Ser. 57, 289–300 (1995).

    Google Scholar 

  38. Pedersen, C. B. et al. The iPSYCH2012 case-cohort sample: new directions for unravelling genetic and environmental architectures of severe mental disorders. Mol. Psychiatry 23, 6–14 (2018).

    Google Scholar 

  39. Bybjerg-Grauholm, J. et al. The iPSYCH2015 Case-Cohort sample: updated directions for unravelling genetic and environmental architectures of severe mental disorders. Preprint at: https://doi.org/10.1101/2020.11.30.20237768 (2020).

  40. Lam, M. et al. RICOPILI: rapid imputation for COnsortias PIpeLIne. Bioinformatics 36, 930–933 (2020).

    Google Scholar 

  41. McCarthy, S. et al. A reference panel of 64,976 haplotypes for genotype imputation. Nat. Genet. 48, 1279–1283 (2016).

    Google Scholar 

  42. Manichaikul, A. et al. Robust relationship inference in genome-wide association studies. Bioinformatics 26, 2867–2873 (2010).

    Google Scholar 

  43. Prive, F., Luu, K., Blum, M. G. B., McGrath, J. J. & Vilhjalmsson, B. J. Efficient toolkit implementing best practices for principal component analysis of population genetic data. Bioinformatics 36, 4449–4457 (2020).

    Google Scholar 

  44. Prive, F., Arbel, J. & Vilhjalmsson, B. J. LDpred2: better, faster, stronger. Bioinformatics 36, 5424–5431 (2021).

    Google Scholar 

  45. Privé, F., Albiñana, C., Arbel, J., Pasaniuc, B. & Vilhjálmsson, B. J. Inferring disease architecture and predictive ability with LDpred2-auto. Am. J. Hum. Genet. 110, 2042–2055 (2023).

Download references

Acknowledgements

J.A. was supported by The Central Denmark Region, the Novo Nordisk Foundation (NNF16OC0019126 and NNF22OC0075033), and a Lundbeck Foundation Fellowship (R335-2019-2339). J.C. and B.B.T. were supported by Novo Nordisk Foundation (NNF16OC0019126 and NNF22OC0075033), the Lundbeck Foundation (R402-2022−1485), the Central Denmark Region, and the Danish Epilepsy Association. J.W.D. was supported by The Independent Research Fund Denmark (4253-00007B, 3166-00134B, 4308-00142B). B.J.W. was supported by Independent Research Fund (2034-00241B), Lundbeck Fellow Grant (R335-2019-2339), and Danish National Research Foundation (P4).

Author information

Author notes
  1. These authors contributed equally: Bjarni Jóhann Vilhjálmsson, Jakob Christensen.

Authors and Affiliations

  1. National Centre for Register-Based Research, Department of Public Health, Aarhus University, Aarhus, Denmark

    Janne Auning, Betina B. Trabjerg, Julie Werenberg Dreier & Bjarni Jóhann Vilhjálmsson

  2. Department of Clinical Medicine, Aarhus University, Aarhus, Denmark

    Janne Auning & Jakob Christensen

  3. Centre for Integrated Register-Based Research (CIRRAU), Aarhus University, Aarhus, Denmark

    Janne Auning, Betina B. Trabjerg & Julie Werenberg Dreier

  4. Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark

    Bjarni Jóhann Vilhjálmsson

  5. Novo Nordisk Foundation Center for Genomics Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA, USA

    Bjarni Jóhann Vilhjálmsson

  6. Department of Neurology, Aarhus University Hospital, Affiliated Member of Epi-CARE, Aarhus, Denmark

    Jakob Christensen

Authors
  1. Janne Auning
    View author publications

    Search author on:PubMed Google Scholar

  2. Betina B. Trabjerg
    View author publications

    Search author on:PubMed Google Scholar

  3. Julie Werenberg Dreier
    View author publications

    Search author on:PubMed Google Scholar

  4. Bjarni Jóhann Vilhjálmsson
    View author publications

    Search author on:PubMed Google Scholar

  5. Jakob Christensen
    View author publications

    Search author on:PubMed Google Scholar

Contributions

J.A. performed the data processing and analyses and wrote the manuscript. B.B.T. reviewed the code. J.W.D., J.C., and B.J.V. supervised the study. All authors contributed with revisions to the final manuscript.

Corresponding author

Correspondence to Janne Auning.

Ethics declarations

Competing interests

J.C. has received honoraria from serving on the scientific advisory board of UCB Nordic and Eisai AB, received honoraria for giving lectures from UCB Nordic and Eisai AB, and received funding for a trip funded by UCB Nordic. The remaining authors declare no competing interests.

Peer review

Peer review information

Nature Communications thanks Wouter van Rheenen and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. A peer review file is available.

Additional information

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

Supplementary information

Supplementary Information (download PDF )

Description of Additional Supplementary Files (download PDF )

Supplementary Data 1 (download TXT )

Supplementary Data 2 (download TXT )

Supplementary Data 3

Supplementary Data 4 (download TXT )

Reporting Summary (download PDF )

Transparent Peer Review file (download PDF )

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

Auning, J., Trabjerg, B.B., Dreier, J.W. et al. Mapping the heritability of disease: a nationwide study. Nat Commun (2026). https://doi.org/10.1038/s41467-026-69991-z

Download citation

  • Received: 21 July 2025

  • Accepted: 16 February 2026

  • Published: 17 March 2026

  • DOI: https://doi.org/10.1038/s41467-026-69991-z

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
  • Reviews & Analysis
  • News & Comment
  • Videos
  • Collections
  • Subjects
  • Follow us on Facebook
  • Follow us on X
  • Sign up for alerts
  • RSS feed

About the journal

  • Aims & Scope
  • Editors
  • Journal Information
  • Open Access Fees and Funding
  • Calls for Papers
  • Editorial Values Statement
  • Journal Metrics
  • Editors' Highlights
  • Contact
  • Editorial policies
  • Top Articles

Publish with us

  • For authors
  • For Reviewers
  • 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

Nature Communications (Nat Commun)

ISSN 2041-1723 (online)

nature.com footer links

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