Evidence map›Paper›PMID 41586955›Full record

ArticleJournal of molecular neuroscience : MN2026

Single-Cell eQTL Revealing Brain Cell-Type-Specific Genetic Control of Insomnia.

Chengying Ou, Qiongxi Lin, Xiaoyun Hu

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular neuroscience : MN, 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

3 authors.

Chengying Ou *School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.
Qiongxi Lin *Department of Microbiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China.
Xiaoyun HuThe First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China. hailey_hu0605@163.com.ORCID http://orcid.org/0009-0005-6182-5326

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insomnia is the most prevalent sleep disorder and exhibits substantial heritability. Although genome-wide association studies (GWAS) have provided broader insights, they still explain only a small proportion of the phenotypic variance, leaving critical gaps in the mechanistic understanding of insomnia. Therefore, we integrated large-scale GWAS summary statistics with single-cell expression quantitative trait loci (eQTL) data across eight major brain cell types. From 1,631 genes mapped to insomnia-associated loci, we constructed gene-cell pairs and applied rigorous filtering to derive independent, strong instrumental variables. These were analyzed using two-sample Mendelian randomization (MR) with inverse-variance weighted (IVW) estimation as the primary approach. Sensitivity analyses, including MR-Egger, Cochran’s Q test, leave-one-out, and MR-PRESSO, were employed to validate causal inferences and mitigate pleiotropy. Our analysis identified 14 genes (25 gene-cell pairs) significantly associated with insomnia risk. Notably, LINC01535 showed the strongest causal effects in astrocytes, excitatory neurons, inhibitory neurons, oligodendrocyte precursor cells, and oligodendrocytes (IVW, p < 0.001). Additionally, we identified 9 insomnia-associated genes in one specific cell type, suggesting those genes may primarily mediate insomnia in their specific cell type. Except for the outstanding genes, we identified most of the insomnia-associated genes in most of the glial cells (oligodendrocytes, OPCs, and astrocytes), suggesting its significant role in mediating insomnia risk. Our study deepens the mechanistic understanding of insomnia by revealing cell-type-specific genetic influences on insomnia, paving the way for targeted prevention and therapeutic interventions.

Indexed as

BrainQuantitative Trait LociSleep Initiation and Maintenance DisordersGenome-Wide Association StudyHumansNeuronsSingle-Cell AnalysisCell type specificInsomniaMendelian randomizationSingle-cell eQTL

Identifiers

What Socratic holds

Textmetadata
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.