Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Multi-Scale Genetic and Transcriptomic Analyses Identify Druggable Targets for Epilepsy.

Current medical science - 1 Jun 2026

Zhong Gao-Yang, Liu Cong, Wang Hui-Ling, Liang Man, Liu Zi-Long

Abstract excerpt

BACKGROUND: Epilepsy is a common neurological disorder with high genetic heterogeneity and affects approximately 70 million people worldwide. Although several studies have combined Genome-Wide Association Studies (GWAS) with bulk expression quantitative trait loci (eQTLs) to explore epilepsy risk genes, the cellular context of genetic regulation remains insufficiently defined. METHODS: We integrated epilepsy GWAS...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Epilepsy
Share to Gene Expression Profiling
Share to FGF2 gene

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Predisposition to Disease

Share to Genome-Wide Association Study

Share to Polymorphism, Single Nucleotide

Share to Quantitative Trait Loci

Share to Transcriptome

Source

Identifiers

PMID: 42012806
DOI: 10.1007/s11596-026-00194-9

Genes

FGFR3
HAGH
CAPN15
CCDC117
DARS1
FGF2
PM20D1
ZNF564

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Multi-Scale Genetic and Transcriptomic Analyses Identify Druggable Targets for Epilepsy.PMID 42012806Read ↗

Prioritization of novel druggable targets for epilepsy via Mendelian randomization and colocalization.Semantic proximity Read ↗

Integrated Mendelian Randomization and Single‐Cell Transcriptomics Analysis Identifies Critical Blood Biomarkers and Potential Mechanisms in EpilepsySemantic proximity Read ↗

Exome Sequencing of 963 Chinese Families Identifies Novel Epilepsy Candidate GenesSemantic proximity Read ↗

Pathway-driven discovery of epilepsy genes.Semantic proximity Read ↗

Multi-Omics Analysis for Identifying Cell-Type-Specific Druggable Targets in Alzheimer’s DiseaseSemantic proximity Read ↗

Multi-omics analysis for identifying cell-type-specific and bulk-level druggable targets in Alzheimer's disease.Semantic proximity Read ↗

Identification of pericyte loss and neutrophils infiltration in Focal cortical dysplasia by Integrated Analysis of Single-Cell and Bulk RNA-SequencingSemantic proximity Read ↗

Exome Sequencing of 963 Chinese Families Identifies Novel Epilepsy Candidate GenesSemantic proximity Read ↗

Insight on the hub gene associated signatures and potential therapeutic agents in epilepsy and gliomaSemantic proximity Read ↗

Integrative analysis of rare variants and pathway information shows convergent results between immune pathways, drug targets and epilepsy genesSemantic proximity Read ↗

Genetic association between epilepsy and gliomas: Insights from Mendelian randomization and single-cell transcriptomic analyses.Semantic proximity Read ↗

Genetic risk factor identification for common epilepsies guided by integrative omics data analysis.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.