Prediction of new-onset migraine using clinical-genotypic data from the HUNT Study: a machine learning analysis
The combination of genotype and routine demographic and non-headache clinical data correctly predict the new onset of migraine in approximately 2 out of 3 cases, supporting that there are important genotypic-phenotypic interactions partaking in the new-onset of migraine.
Authors
- Manjit Singh Matharu (ORCID: https://orcid.org/0000-0002-4960-2294)
- Parashkev Nachev (ORCID: https://orcid.org/0000-0002-2718-4423)
- Bendik S. Winsvold (ORCID: https://orcid.org/0000-0003-4171-8919)
- Antonios Danelakis (ORCID: https://orcid.org/0000-0002-5925-2179)
- Erling Tronvik (ORCID: https://orcid.org/0000-0001-6059-0151)
- Knut Hagen (ORCID: https://orcid.org/0000-0003-2111-8895)
- Anker Stubberud (ORCID: https://orcid.org/0000-0003-0934-9914)
- Marte‐Helene Bjørk (ORCID: https://orcid.org/0000-0002-5745-1094)
- Fahim Faisal (ORCID: https://orcid.org/0000-0001-9835-6299)
Institutions
- Oslo University Hospital (NO)
- Norwegian University of Science and Technology (NO)
- Haukeland University Hospital (NO)
- St Olav's University Hospital (NO)
- National Hospital for Neurology and Neurosurgery (GB)
- University of Bergen (NO)
- University College London (GB)
Publication Details
- Journal
- The Journal of Headache and Pain
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1186/s10194-025-02014-2
- Citations
- 3
- Primary Topic
- Migraine and Headache Studies
- Type
- article
- Field-Weighted Citation Impact
- 4.41
Funders
- Norges Teknisk-Naturvitenskapelige Universitet
- Helse Midt-Norge
- Norges Forskningsråd
- University College London Hospitals NHS Foundation Trust
- National Institutes of Health
- UCLH Biomedical Research Centre
- Faculty of Medicine and Health, University of Sydney
- Norwegian Institute of Public Health