Prediction of new-onset migraine using clinical-genotypic data from the HUNT Study: a machine learning analysis.

ABSTRACT:

Background

Migraine is associated with a range of symptoms and comorbid disorders and has a strong genetic basis, but the currently identified risk loci only explain a small portion of the heritability, often termed the "missing heritability". We aimed to investigate if machine learning could exploit the combination of genetic data and general clinical features to identify individuals at risk for new-onset migraine.

Method

This study was a population-based cohort study of adults from the second and third Trøndelag Health Study (HUNT2 and HUNT3). Migraine was captured in a validated questionnaire and based on modified criteria of the International Classification of Headache Disorders (ICHD) and participants underwent genome-wide genotyping. The primary outcome was new-onset m

SUBMITTER: Faisal F 

PROVIDER: S-EPMC11977938 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature