ArticleNature genetics2023
Brain expression quantitative trait locus and network analyses reveal downstream effects and putative drivers for brain-related diseases.
Article in Nature genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 189 papers, 15 of them syntheses that pooled it.
What it found
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The trial behind it
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Who cites it
189 citing papers in PubMed, 15 syntheses or guidelines pooled it, 236 citations in OpenAlex.
- Multi-population GWAS meta-analysis identifies bladder cancer susceptibility loci and highlights genetic regulation of smoking-related risk.Nature communications · 2026Pooled it
- eQTL Meta-Analysis Reveals Conserved and Population-Specific Regulatory Variation Underlying Nutritional Trait Evolution and Domestication in Tomato.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Pooled it
- GWAS meta-analysis of cerebrospinal fluid Alzheimer's biomarkers reveals loci regulating lipids, brain volume and autophagy.Nature communications · 2026Pooled it
- A meta-analysis of single-nucleus expression quantitative trait loci linking genetic risk to brain disorders.Nature genetics · 2026Pooled it
- Identification of 1q25.2 as a novel shared locus between schizophrenia and major depressive disorder in east Asians by integrative analyses.Translational psychiatry · 2025Pooled it
- Multi-ancestry genome-wide meta-analysis of 56,241 individuals identifies known and novel cross-population and ancestry-specific associations as novel risk loci for Alzheimer's disease.Genome biology · 2025Pooled it
- Genome-wide analyses identify 30 loci associated with obsessive-compulsive disorder.Nature genetics · 2025Pooled it
- Pooled it
- Brain multi-omic Mendelian randomisation to identify novel drug targets for gliomagenesis.Human molecular genetics · 2025Pooled it
- Trends in Mendelian randomization in neurological disease research: a bibliometric analysis.Frontiers in neurology · 2025Pooled it
- Multi-ancestry genome-wide association meta-analysis of Parkinson's disease.Nature genetics · 2024Pooled it
- GWAS Meta-Analysis of Suicide Attempt: Identification of 12 Genome-Wide Significant Loci and Implication of Genetic Risks for Specific Health Factors.The American journal of psychiatry · 2023Pooled it
- GWAS meta-analysis of over 29,000 people with epilepsy identifies 26 risk loci and subtype-specific genetic architecture.Nature genetics · 2023Pooled it
- Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data.Genome biology · 2023Pooled it
- Establishing gene regulatory networks from Parkinson's disease risk loci.Brain : a journal of neurology · 2022Pooled it
- Genome-wide analysis of common structural variants in Alzheimer's disease identifies a risk-associated regulatory CCG repeat in FAM193B.Nature neuroscience · 2026Article
- Alzheimer's disease target and drug discovery by leveraging multiomics and electronic health data.Nature neuroscience · 2026Article
- Alzheimer's disease target and drug discovery by leveraging multiomics and electronic health data.Nature neuroscience · 2026Article
- APOE-stratified genome-wide association analyses provide insights into the genetic etiology of Alzheimers's disease.Nature genetics · 2026Article
- Genetic evidence supports a cortical neuroprotective role of GLP-1 receptor activation in Alzheimer's disease: A drug-target Mendelian randomization study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
129 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
21 authors at 4 institutions in 3 countries.
Funding
Abstract
Identification of therapeutic targets from genome-wide association studies (GWAS) requires insights into downstream functional consequences. We harmonized 8,613 RNA-sequencing samples from 14 brain datasets to create the MetaBrain resource and performed cis- and trans-expression quantitative trait locus (eQTL) meta-analyses in multiple brain region- and ancestry-specific datasets (n ≤ 2,759). Many of the 16,169 cortex cis-eQTLs were tissue-dependent when compared with blood cis-eQTLs. We inferred brain cell types for 3,549 cis-eQTLs by interaction analysis. We prioritized 186 cis-eQTLs for 31 brain-related traits using Mendelian randomization and co-localization including 40 cis-eQTLs with an inferred cell type, such as a neuron-specific cis-eQTL (CYP24A1) for multiple sclerosis. We further describe 737 trans-eQTLs for 526 unique variants and 108 unique genes. We used brain-specific gene-co-regulation networks to link GWAS loci and prioritize additional genes for five central nervous system diseases. This study represents a valuable resource for post-GWAS research on central nervous system diseases.
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Registered trials
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 OpenQuestion graph.