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运用机器学习识别中国偏头痛伴抑郁的遗传易感性。

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

作者信息

An Xingkai, Zhao Shanshan, Fang Jie, Li Qingfang, Yue Cen, Jing Chuya, Zhang Yidan, Zhang Jiawei, Zhou Jie, Chen Caihong, Qu Hongli, Ma Qilin, Lin Qing

机构信息

Department of Neurology and Department of Neuroscience, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.

Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen, China.

出版信息

Front Neurol. 2024 Jul 31;15:1418529. doi: 10.3389/fneur.2024.1418529. eCollection 2024.

DOI:10.3389/fneur.2024.1418529
PMID:39144710
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11322385/
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, 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 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).

CONCLUSION

The study indicates that there is an association between rs904743 and susceptibility to migraine with and without depression in Chinese patients.

摘要

背景

偏头痛是一种常见的原发性头痛,对患者的生活质量有重大影响。偏头痛与抑郁症常同时出现,导致症状更复杂,预后更差。有证据表明,抑郁症和偏头痛共病具有多基因遗传背景。

目的

本研究旨在确定在中国人群队列中,导致伴有或不伴有抑郁症的偏头痛遗传易感性的相关基因变异。

方法

在这项病例对照研究中,纳入了263名偏头痛患者和223名种族匹配的对照。使用Sequenom的MALDI-TOF iPLEX平台对从全基因组关联研究(GWAS)中选择的8个基因多态性位点进行基因分型。

结果

在单变量分析中,rs904743在偏头痛患者和对照之间的基因型和等位基因分布存在显著差异。此外,采用机器学习方法进行多变量分析。随机森林算法的结果表明,rs904743是中国偏头痛易感性的一个重要危险因素。此外,通过Boruta算法进行的亚组分析显示,该单核苷酸多态性(SNP)与偏头痛合并抑郁症之间存在显著关联。观察到患有抑郁症的偏头痛患者在贝克焦虑量表(BAI)和偏头痛残疾评估量表(MIDAS)上的得分更差。

结论

该研究表明,rs904743与中国患者伴有或不伴有抑郁症的偏头痛易感性之间存在关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ad/11322385/df6feea62409/fneur-15-1418529-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ad/11322385/4543eeca4acc/fneur-15-1418529-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ad/11322385/d50002b0fee2/fneur-15-1418529-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ad/11322385/df6feea62409/fneur-15-1418529-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ad/11322385/4543eeca4acc/fneur-15-1418529-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ad/11322385/d50002b0fee2/fneur-15-1418529-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05ad/11322385/df6feea62409/fneur-15-1418529-g003.jpg

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