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Predictability of migraine by identifying novel biomarkers in PAM rs73189054 at chromosome 5q21 Position

Article scientifique 2023 Anglais

Résumé

Abstract Background Some genes influenced by these variants are highly expressed in vascular tissues and dysfunction can play a role in migraine. The richest tissues are part of blood vessels. In this study, a novel biomarker to predict prevalent migraine by association and mechanisms was presented. Methods Using Microarray data collection and processing and migraine summary GWAS database. Then using gene set enrichment analysis (GSEA), heuristic fine mapping by FUMA GWAS, and identification of PAM in the position of chromosome 5q21 by Pheweb of the biobank and MR-based platform. Results GSEA identified positions that were significantly increased by PAM overexpression, and gene expression was assessed in migraine patients (GSE76242). On position chromosome 5q21, modules were enriched in migraine patients with an enrichment score - 0.50, the nominal enrichment score was 1.15, and the nominal p-value (0.30142567) migraine. In FUMAGWAS, we added an analyzer for gene set analysis by enrichment. One of the GeneSets was chromosome 5q21, N was 15, n was 2, the value of P was 2.14e-4, the adjusted P was 1.60e-2, and the genes were the PAM gene and were assigned by the SNP coding area rs73189054 (lead SNP). Conclusions In conclusion, this study provides a novel migraine rs73189054 from PAM rs73189054, in the position of chromosome 5q21. In particular, it could be determined to predict the susceptibility and vulnerability of migraine.

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Huang, H., Lin, C., Liu, W., Lee, Y., Wu, C. (2023). Predictability of migraine by identifying novel biomarkers in PAM rs73189054 at chromosome 5q21 Position. https://doi.org/10.21203/rs.3.rs-2403801/v1

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