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

A meta-analysis of single-nucleus expression quantitative trait loci linking genetic risk to brain disorders.

Nature genetics - 1 Apr 2026

Jang Beomjin, Bp Kailash, Tokolyi Alex, Dredge Winston H, Ravi Ashvin, Jung Sang-Hyuk, Naito Tatsuhiko, Kim Beomsu, Kim Min Seo, Cho Minyoung, Park Mi-So, Rosen Mikaela, Blanchard Joel, Humphrey Jack, Knowles David A, Won Hong-Hee, Raj Towfique

Abstract excerpt

Most genetic risk variants for neurological diseases are located in noncoding regulatory regions, where they often act as expression quantitative trait loci (eQTLs), modulating gene expression and influencing disease susceptibility. However, eQTL studies in bulk brain tissue or cell lines fail to capture the brain's cellular diversity. Single-nucleus RNA sequencing (snRNA-seq) allows high-resolution mapping of...

Read the complete abstract on PubMed

Topics

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

Share to Brain
Share to Brain Diseases

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Cell Nucleus

Share to Genetic Predisposition to Disease

Share to Genome-Wide Association Study

Share to Polymorphism, Single Nucleotide

Share to Quantitative Trait Loci

Share to Single-Cell Gene Expression Analysis

Source

Identifiers

PMID: 41857317
DOI: 10.1038/s41588-026-02541-x

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A meta-analysis of single-nucleus expression quantitative trait loci linking genetic risk to brain disorders.PMID 41857317Read ↗

SingleBrain: A Meta-Analysis of Single-Nucleus eQTLs Linking Genetic Risk to Brain DisordersSemantic proximity Read ↗

High cell-type specificity of eQTLs revealed by single-nucleus analyses of brain and bloodSemantic proximity Read ↗

Cell-type specific cis-eQTLs in eight brain cell-types identifies novel risk genes for human brain disordersSemantic proximity Read ↗

A large-scale single cell map of primary and conditional regulatory variation in the human brainSemantic proximity Read ↗

Mapping the genetic regulation of long non-coding RNAs across cellular contexts advances understanding of complex brain diseasesSemantic proximity Read ↗

Single-nucleus transcriptome-wide association study of human brain disordersSemantic proximity Read ↗

Cell-type-specific cis-eQTLs in eight human brain cell types identify novel risk genes for psychiatric and neurological disorders.Semantic proximity Read ↗

Single-cell eQTL mapping reveals convergent glial–neuronal risk architecture in Parkinson’s diseaseSemantic proximity Read ↗

Brain expression quantitative trait locus and network analysis reveals downstream effects and putative drivers for brain-related diseasesSemantic proximity Read ↗

Single-cell genomics and regulatory networks for 388 human brainsSemantic proximity Read ↗

Integrating Long-Read Structural Variant Analysis with single-nucleus RNA-seq to Elucidate Gene Expression Effects in DiseaseSemantic proximity Read ↗

Single-Nucleus Atlas of Cell-Type Specific Genetic Regulation in the Human BrainSemantic proximity Read ↗

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