SynthesisNature genetics2022
Multi-ancestry eQTL meta-analysis of human brain identifies candidate causal variants for brain-related traits.
Synthesis in Nature genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 10 of them syntheses that pooled it.
What it found
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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.
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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.
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Who cites it
73 citing papers in PubMed, 10 syntheses or guidelines pooled it, 99 citations in OpenAlex.
- Integrating cell-type-specific gene expression and genome-wide associations identifies risk genes for schizophrenia.Molecular psychiatry · 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
- Identifying novel gene dysregulation associated with opioid overdose death: a meta-analysis of differential gene expression in human prefrontal cortex.Translational psychiatry · 2026Pooled it
- Genetic landscape and functional exploration of kidney cancer predisposition in cross-ancestral populations.Nature communications · 2026Pooled it
- A meta-analysis of single-nucleus expression quantitative trait loci linking genetic risk to brain disorders.Nature genetics · 2026Pooled it
- Gene-level analysis reveals the genetic aetiology and therapeutic targets of schizophrenia.Nature human behaviour · 2025Pooled it
- Adipose tissue eQTL meta-analysis highlights the contribution of allelic heterogeneity to gene expression regulation and cardiometabolic traits.Nature genetics · 2025Pooled it
- Multi-ancestry genome-wide association meta-analysis of Parkinson's disease.Nature genetics · 2024Pooled it
- Multi-ancestry meta-analysis and fine-mapping in Alzheimer's disease.Molecular psychiatry · 2023Pooled it
- The Caribbean-Hispanic Alzheimer's disease brain transcriptome reveals ancestry-specific disease mechanisms.Neurobiology of disease · 2023Pooled it
- Single-nucleus atlas of cell-type specific genetic regulation in the human brain.Nature genetics · 2026Article
- Article
- Single-cell multi-omic integration analysis prioritizes druggable genes and reveals cell-type-specific causal effects in glioblastomagenesis.Journal of translational medicine · 2026Article
- A meta-analysis of chromatin-associated loci provides insights into mechanistic interpretations of trait heritability.bioRxiv : the preprint server for biology · 2026Article
- CRISPRi screening in cultured human astrocytes uncovers distal enhancers controlling genes dysregulated in Alzheimer's disease.Nature neuroscience · 2026Article
- Transcriptomics and functional genomics implicate WNT3 in hemispheric lateralization of speech production.iScience · 2026Article
- Identifying drug targets for schizophrenia through gene prioritization.Translational psychiatry · 2026Article
- IsmedRxiv : the preprint server for health sciences · 2026Article
- Genome-Wide by Lifetime Environment Interaction Studies of Brain Imaging Phenotypes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Nonlinear dynamic genetic regulation identifies peripheral drivers of neurodegenerative disease progression.medRxiv : the preprint server for health sciences · 2026Article
13 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
While large-scale, genome-wide association studies (GWAS) have identified hundreds of loci associated with brain-related traits, identification of the variants, genes and molecular mechanisms underlying these traits remains challenging. Integration of GWAS with expression quantitative trait loci (eQTLs) and identification of shared genetic architecture have been widely adopted to nominate genes and candidate causal variants. However, this approach is limited by sample size, statistical power and linkage disequilibrium. We developed the multivariate multiple QTL approach and performed a large-scale, multi-ancestry eQTL meta-analysis to increase power and fine-mapping resolution. Analysis of 3,983 RNA-sequenced samples from 2,119 donors, including 474 non-European individuals, yielded an effective sample size of 3,154. Joint statistical fine-mapping of eQTL and GWAS identified 329 variant-trait pairs for 24 brain-related traits driven by 204 unique candidate causal variants for 189 unique genes. This integrative analysis identifies candidate causal variants and elucidates potential regulatory mechanisms for genes underlying schizophrenia, bipolar disorder and Alzheimer's disease.
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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.