Evidence map›Paper›PMID 40923186›Full record

ArticleBrain and behavior2025

Systematic Exploration of Potential Druggable Genes for Ischemic Stroke Employing Genome-Wide Mendelian Randomization Analysis.

Peng Zhang, Yulu He, Qing Zhen, Yan Zhang

Abstract read
In one paragraph

Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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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

2 citing papers in PubMed.

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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

4 authors.

Peng ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.ORCID https://orcid.org/0000-0001-5536-0255
Yulu HeGenetic Diagnosis Center, the First Hospital of Jilin University, Changchun, China.
Qing ZhenDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Yan ZhangDepartment of Thoracic Surgery II, Department of Lung Transplantation, Organ Transplantation Center, the First Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIschemic stroke (IS) treatment remains a significant challenge. This study aimed to identify potential druggable genes for IS using a systematic druggable genome-wide Mendelian Randomization (MR) analysis.

methodsTwo-sample MR analysis was conducted to identify the causal association between potential druggable genes and IS. This involved integrating data from the druggable genome, expression quantitative trait loci (eQTL), protein quantitative trait loci (pQTL), and genome-wide association study summary data of IS. Sensitivity and Bayesian colocalization analyses were used to validate the causal relationships. In addition, phenome-wide MR analysis was used to evaluate the side effects or other indications of the identified druggable genes, and their functions were explored using the Metascape database.

resultsOur MR analysis identified 16 potential druggable genes significantly associated with IS, three of which were significant in the two QTL datasets. Colocalization analysis revealed six druggable genes (two in the blood eQTL [CALCRL, KCNJ11], two in the brain eQTL [NEK3, THSD1], one in the blood pQTL [MMP12], and one in the brain pQTL [HSD17B12]) had a PP.H4 greater than 0.75. Phenome-wide MR analysis indicated that CALCRL is correlated with benign breast neoplasms, and HSD17B12 is associated with essential hypertension and hypertension.

conclusionsThis study identified six potential druggable genes (CALCRL, KCNJ11, NEK3, THSD1, MMP12, and HSD17B12) associated with IS risk. Further research is required to explore the specific roles of these druggable genes in the onset and progression of IS.

Indexed as

Ischemic StrokeMendelian Randomization AnalysisGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansQuantitative Trait LociBayesian colocalizationdruggable geneischemic strokeMendelian randomization

Identifiers

PMID40923186
PMCPMC12417969

What Socratic holds

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Registered trials

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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.