ArticleNature genetics2019
Gene expression imputation across multiple brain regions provides insights into schizophrenia risk.
Article in Nature genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 118 papers, 7 of them syntheses that pooled it.
What it found
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Who cites it
118 citing papers in PubMed, 7 syntheses or guidelines pooled it.
- Integrating cell-type-specific gene expression and genome-wide associations identifies risk genes for schizophrenia.Molecular psychiatry · 2026Pooled it
- What genes are differentially expressed in individuals with schizophrenia? A systematic review.Molecular psychiatry · 2022Pooled it
- Genetically regulated expression in late-onset Alzheimer's disease implicates risk genes within known and novel loci.Translational psychiatry · 2021Pooled it
- Genome-wide association study followed by trans-ancestry meta-analysis identify 17 new risk loci for schizophrenia.BMC medicine · 2021Pooled it
- Common genetic risk variants identified in the SPARK cohort support DDHD2 as a candidate risk gene for autism.Translational psychiatry · 2020Pooled it
- Evaluating the cardiovascular safety of sclerostin inhibition using evidence from meta-analysis of clinical trials and human genetics.Science translational medicine · 2020Pooled it
- Pooled it
- Integrative multi-omics reveals MHC class II-mediated neuroinflammation and systemic metabolic dysregulation as transdiagnostic drivers in major brain disorders.Translational psychiatry · 2026Article
- Identification of hub genes involved in early-onset schizophrenia: from genetic susceptibility to predicted regulated gene expression.Molecular psychiatry · 2026Article
- [Late-onset manifestation of Tay-Sachs disease-A disease of the cerebellum and motor neurons with psychiatric sequelae].Der Nervenarzt · 2026Review
- Co-expression-based models improve eQTL predictions for transcriptome-wide association studies and highlight new schizophrenia-associated genes.Nature genetics · 2026Article
- Deciphering cell type-specific causal genetic effects on brain imaging-derived phenotypes and disorders with single-cell Mendelian randomization.PLoS computational biology · 2026Article
- Upregulation of DNA repair-related genes in the prefrontal cortex of patients with schizophrenia with low genetic risk.Schizophrenia (Heidelberg, Germany) · 2026Article
- Multi-omics approaches to major psychiatric disorders.Neuropsychiatrie : Klinik, Diagnostik, Therapie und Rehabilitation : Organ der Gesellschaft Osterreichischer Nervenarzte und Psychiater · 2026Review
- Functional implications of polygenic risk for schizophrenia in human neurons.Nature communications · 2026Article
- Genomic meta-analyses of binge-eating behavior and anorexia nervosa yield insights into the unique and shared biology of eating disorder phenotypes.Nature. Mental health · 2026Article
- Leveraging genomic and transcriptomic data of diverse ancestry to uncover mechanisms of psychiatric risk in the adult and developing brain.Nature communications · 2025Article
- A computational genetic- and transcriptomics-based study nominates drug repurposing candidates for the treatment of chronic pain.EBioMedicine · 2025Article
- Analysis of Genomic and Transcriptomic Data Revealed Key Genes and Processes in the Development of Major Depressive Disorder.International journal of molecular sciences · 2025Article
- Multi-ancestral genome-wide study of chronic pain reveals widespread genetic correlations with mental and physical health traits.medRxiv : the preprint server for health sciences · 2025Article
58 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
32 authors.
Funding
Abstract
Transcriptomic imputation approaches combine eQTL reference panels with large-scale genotype data in order to test associations between disease and gene expression. These genic associations could elucidate signals in complex genome-wide association study (GWAS) loci and may disentangle the role of different tissues in disease development. We used the largest eQTL reference panel for the dorso-lateral prefrontal cortex (DLPFC) to create a set of gene expression predictors and demonstrate their utility. We applied DLPFC and 12 GTEx-brain predictors to 40,299 schizophrenia cases and 65,264 matched controls for a large transcriptomic imputation study of schizophrenia. We identified 413 genic associations across 13 brain regions. Stepwise conditioning identified 67 non-MHC genes, of which 14 did not fall within previous GWAS loci. We identified 36 significantly enriched pathways, including hexosaminidase-A deficiency, and multiple porphyric disorder pathways. We investigated developmental expression patterns among the 67 non-MHC genes and identified specific groups of pre- and postnatal expression.
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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 OpenQuestion graph.