Identification of genetic susceptibility for Chinese migraine with depression using machine learning.

ABSTRACT:

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.

Objective

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.

Methods

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.

Results

In univariate analysis, ANKDD1B</

SUBMITTER: An X 

PROVIDER: S-EPMC11322385 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature