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Current Pharmacogenomics and Personalized Medicine

Editor-in-Chief

ISSN (Print): 1875-6921
ISSN (Online): 1875-6913

Research Article

Generalized Analysis of Open Genetic Databases Reveals New Associations with Migraine

Author(s): Aliya Yakubova* and Albert A. Rizvanov

Volume 20, Issue 3, 2023

Published on: 12 January, 2024

Page: [165 - 176] Pages: 12

DOI: 10.2174/0118756921286656231219095417

Price: $65

Abstract

Background: Migraine is one of the most common diseases that significantly impairs the quality of life. This condition has a pronounced genetic component. Genes responsible for the development of monogenic forms of hemiplegic migraine have already been identified, and the search for genetic associations with common migraine and its subtypes continues.

Objective: The aim of this study was to search for new potential genetic markers of migraine by analyzing available open genetic databases.

Methods: The analysis included databases such as ClinVar, GWAS Catalog, UK Biobank and FinnGen. In all databases, the keyword "migraine" was used to search for migraineassociated variants. Genetic variants with clinical annotations "pathogenic" and "likely pathogenic" were selected from the variants in the ClinVar database. From other databases, variants with an association significance level of p ≤ 5×10-8 were chosen.

Results: A total of 112 genetic variants associated with migraine were identified. After excluding polymorphisms known from previous migraine studies, it was found that 45 genetic variants were identified for the first time.

Conclusion: These variants belong to various functional groups, including ion channels, enzymes, receptors, and regulatory proteins, confirming the current understanding of the polygenic nature of migraine. Identifying new genetic associations with migraine can contribute to a better understanding of its pathogenesis and open new possibilities for diagnosis and the development of more effective treatment strategies for this condition.

Keywords: Migraine, genetic database, polymorphism, genetic variant, genetic marker, regulatory proteins.

Graphical Abstract
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