Evidence mapPaperPMID 41495640Full record

ArticleThe journal of headache and pain2026

Elucidating the susceptibility genes between insomnia and migraine by integrating genetic data and transcriptomes.

Tao Wang, Jun Li, Yinghao Yao, Hong Wang, Xing Zheng

Abstract read
In one paragraph

Article in The journal of headache and pain, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Tao Wang *Key Laboratory of Laboratory Medicine, Ministry of Education, Institute of Genomic Medicine, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China.
Jun Li *Zhejiang Provincial Key Laboratory of Medical Genetics, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China.
Yinghao YaoNational Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China.
Hong WangNational Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China. wanghongbio@wmu.edu.cn.
Xing ZhengSchool of Public Health, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China. xing_zheng@wmu.edu.cn.

Funding

Key Research and Development Program of Zhejiang Province 2023C03031National Natural Science Foundation of China 32400603Wenzhou Medical University 89225045
6 · The paper itself

Abstract

backgroundInsomnia is a sleep disorder commonly occurring in the general population. Migraine is a severe neurological disease with a high morbidity rate. Insomnia can increase the risk of developing migraines. However, the full biological mechanisms underlying this condition remain incompletely understood.

methodsBased on summary statistics from genome-wide association studies (GWAS) on insomnia (Ncase = 109,548 and Ncontrol = 277,440), overall migraine (Ncase = 26,894 and Ncontrol = 374,605), including its subtypes migraine with aura (MA) (Ncase = 11,757 and Ncontrol = 374,605), and migraine without aura (MO) (Ncase = 9,690 and Ncontrol = 374,605), we performed a large-scale genome-wide cross-trait analysis for each trait pair, followed by functional annotation, transcriptome-wide association studies (TWAS) and Mendelian randomization (MR) to investigate the genetic relationship between the development of insomnia and migraine.

resultsThere was a significant positive genetic correlation between insomnia and migraine (rg = 0.3187, P = 5.64E-16), as well as MA (rg = 0.2843, P = 6.752E-09) and MO (rg = 0.292, P = 1.121E-11). By segmenting the entire genome into 1,703 largely independent regions and diverse functional categories, we identified notable local genetic correlations within several specific regions and functional categories. We identified 8 independent loci shared by insomnia and overall migraine, 2 independent pleiotropic loci for insomnia and MA, and 7 independent shared loci for insomnia and MO, by genome-wide cross-trait analysis. In addition, TWAS analysis revealed 7, 2, and 2 shared genes for insomnia and migraine, as well as MA and MO, respectively. 3 shared genes are located in the pleiotropic loci for insomnia and migraine. 1 shared gene is located in the pleiotropic loci for insomnia and MO. Bi-directional MR indicated a potential causal risk of insomnia to MA at a marginally significant level, but migraine, including MA and MO, was not causally associated with the risk of insomnia.

conclusionsThis study demonstrated a shared genetic architecture, pleiotropic loci, shared genes, and a potential putative relationship underlying insomnia and migraine by integrating genetic data and transcriptomes, providing important insights into the genetic mechanisms between insomnia and migraine comorbidities, and implications for intervention and treatment targets.

Indexed as

Genetic Predisposition to DiseaseMigraine DisordersSleep Initiation and Maintenance DisordersTranscriptomeGenome-Wide Association StudyHumansMendelian Randomization AnalysisCross-trait analysisInsomniaMigrainePleiotropyTWAS

Identifiers

PMID41495640
PMCPMC12784587

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.