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ORIGINAL RESEARCH article

Front. Neurol.
Sec. Headache and Neurogenic Pain
Volume 15 - 2024 | doi: 10.3389/fneur.2024.1418529
This article is part of the Research Topic Expanding the Paradigm of the Management of Headaches: Integrated Multidisciplinary Perspectives from Bench to Bedside View all 4 articles

Identification of Genetic Susceptibility for Chinese Migraine with Depression Using Machine Learning

Provisionally accepted
Xingkai An Xingkai An *Shanshan Zhao Shanshan Zhao Jie Fang Jie Fang Qingfang Li Qingfang Li Cen Yue Cen Yue Chuya Jing Chuya Jing Yidan Zhang Yidan Zhang Jiawei Zhang Jiawei Zhang Jie Zhou Jie Zhou Caihong Chen Caihong Chen Hongli Qu Hongli Qu Qilin Ma Qilin Ma Qing Lin Qing Lin *
  • First Affiliated Hospital of Xiamen University, Xiamen, China

The final, formatted version of the article will be published soon.

    Background: Migraine is a common primary headache that has a significant impact on patients' quality of life. The co-occurrence of migraine and depression is frequent, resulting in more complex symptoms and a poorer prognosis. The evidence suggests that depression and migraine comorbidity share a polygenic genetic background.The aim of this study is to identify related genetic variants that contribute to genetic susceptibility to migraine with and without depression in a Chinese cohort.In this case-control study, 263 individuals with migraines and 223 race-matched controls were included. Eight genetic polymorphism loci selected from the GWAS were genotyped using Sequenom's MALDI-TOF iPLEX platform.In univariate analysis, ANKDD1B rs904743 showed significant differences in genotype and allele distribution between migraineurs and controls. Furthermore, a machine learning approach was used to perform multivariate analysis. The results of the Random Forest algorithm indicated that ANKDD1B rs904743 was a significant risk factor for migraine susceptibility in China. Additionally, subgroup analysis by the Boruta algorithm showed a significant association between this SNP and migraine comorbid depression. Migraineurs with depression have been observed to have worse scores on the Beck Anxiety Inventory (BAI) and the Migraine Disability Assessment Scale (MIDAS).The study indicates that there is an association between ANKDD1B rs904743 and susceptibility to migraine with and without depression in Chinese patients.

    Keywords: Migraine, Depression, Genetic Susceptibility, polymorphism, machine learning

    Received: 16 Apr 2024; Accepted: 11 Jul 2024.

    Copyright: © 2024 An, Zhao, Fang, Li, Yue, Jing, Zhang, Zhang, Zhou, Chen, Qu, Ma and Lin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Xingkai An, First Affiliated Hospital of Xiamen University, Xiamen, China
    Qing Lin, First Affiliated Hospital of Xiamen University, Xiamen, China

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