ArticleThe journal of headache and pain2025
Unveiling migraine subtype heterogeneity and risk loci: integrated genome-wide association study and single-cell transcriptomics discovery.
Article in The journal of headache and pain, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Review
- Meningeal neuropeptide and neuroimmune interactions in the context of migraine.The journal of headache and pain · 2026Review
- Multi-omics SMR and experimental supportive analyses decipher causal drivers hepatocellular carcinoma.BMC cancer · 2026Article
- The association between frailty and headache in middle-aged and older individuals: a data analysis based on the GBD2021, the CHARLS and Mendelian randomization.Archives of medical science : AMS · 2026Article
- Epigenetics in migraine: the Junior Editorial Board Members' vision.The journal of headache and pain · 2025Review
- Epigenome-wide DNA methylation profiling reveals risk genes for migraine and its subtypes.The journal of headache and pain · 2025Article
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11 authors.
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Abstract
backgroundMigraine, a debilitating neurological disorder with distinct subtypes (migraine with aura [MA] and migraine without aura [MO]), exhibits genetic and spatial heterogeneity that remains poorly understood. While genetic correlations between subtypes are established, spatially resolved molecular mechanisms driving their divergent clinical phenotypes-particularly in tissue microenvironments-are unclear, limiting targeted therapeutic development.
methodsWe integrated genome-wide association study (GWAS) data from FinnGen R11 and international cohorts with transcriptomic, epigenomic, and spatially resolved single-cell spatial transcriptomics (sc-ST) profiles. Genetic correlations and functional annotations were assessed using Linkage Disequilibrium Score Regression (LDSC), High-Definition Likelihood (HDL), and partitioned heritability analyses. A multi-omics framework combined Summary Mendelian Randomization (SMR) for expression and methylation quantitative trait loci (eQTL/mQTL), Functional Summary-based Imputation (FUSION), Multi-marker Analysis of GenoMic Annotation (MAGMA), Joint-Tissue Imputation Enhanced PrediXcan Analysis (JTI-PrediXcan), and the Polygenic Priority Score (PoPS) to systematically prioritize genes based on methodological robustness (≥ 2 analytical approaches) and cross-subtype consistency. Tissue-enriched specificity was validated via genetically informed spatial mapping of cells for complex traits (gsMap), a novel algorithm integrating sc-ST and GWAS data to map subtype-associated cellular architectures at single-cell resolution across embryonic tissues.
resultsLDSC and HDL confirmed strong genetic correlations between MA and MO. But they showed divergent functional architectures in functional genomic annotations, with MA enriched in conserved regulatory elements (e.g., Backgrd_Selection_StatL2_0, enrichment = 1.38, P = 5.47 × 10
conclusionOur study delineates spatially constrained mechanisms underlying migraine heterogeneity: MA arises from neuroimmune-epigenetic dysregulation, while MO is driven by vascular-metabolic perturbations. Key genes and pathways provide actionable targets for subtype-specific therapies. By bridging genetic architecture with spatial biology, we redefine migraine pathogenesis and precision intervention strategies.
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