ArticleMolecular psychiatry2020
Schizophrenia risk variants influence multiple classes of transcripts of sorting nexin 19 (SNX19).
Article in Molecular psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.
- Long-Read sequencing in psychiatric omics: a systematic review of current evidence.Molecular psychiatry · 2026Pooled it
- mmVelo: a deep generative model for estimating cell state-dependent dynamics across multiple modalities.Bioinformatics (Oxford, England) · 2026Article
- Co-expression-based models improve eQTL predictions for transcriptome-wide association studies and highlight new schizophrenia-associated genes.Nature genetics · 2026Article
- MiRNA Dysregulation in Epilepsy: Bridging Molecular Mechanisms and Therapeutic Innovation.Molecular neurobiology · 2026Review
- Schizophrenia risk variants modulate transcription factor binding and gene expression in cortical cell types.Cellular and molecular life sciences : CMLS · 2026Article
- Long-read sequencing reveals the RNA isoform repertoire of neuropsychiatric risk genes in human brain.Genome biology · 2025Article
- Long-read RNA sequencing: A transformative technology for exploring transcriptome complexity in human diseases.Molecular therapy : the journal of the American Society of Gene Therapy · 2025Review
- Identification of a specific APOE transcript and functional elements associated with Alzheimer's disease.Molecular neurodegeneration · 2024Article
- SNX17 Mediates Dendritic Spine Maturation via p140Cap.Molecular neurobiology · 2024Article
- Altered oral microbiota and immune dysfunction in Chinese elderly patients with schizophrenia: a cross-sectional study.Translational psychiatry · 2023Article
- Whole-genome sequencing analysis of suicide deaths integrating brain-regulatory eQTLs data to identify risk loci and genes.Molecular psychiatry · 2023Article
- Deep learning predicts DNA methylation regulatory variants in the human brain and elucidates the genetics of psychiatric disorders.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Identification of candidate biomarkers and pathways associated with type 1 diabetes mellitus using bioinformatics analysis.Scientific reports · 2022Article
- Integration of multidimensional splicing data and GWAS summary statistics for risk gene discovery.PLoS genetics · 2022Article
- Powerful and robust inference of complex phenotypes' causal genes with dependent expression quantitative loci by a median-based Mendelian randomization.American journal of human genetics · 2022Article
- An alternative splicing hypothesis for neuropathology of schizophrenia: evidence from studies on historical candidate genes and multi-omics data.Molecular psychiatry · 2022Review
- Fecal Dysbiosis and Immune Dysfunction in Chinese Elderly Patients With Schizophrenia: An Observational Study.Frontiers in cellular and infection microbiology · 2022Observational
- Joint-Tissue Integrative Analysis Identified Hundreds of Schizophrenia Risk Genes.Molecular neurobiology · 2022Article
- ExonSkipAD provides the functional genomic landscape of exon skipping events in Alzheimer's disease.Briefings in bioinformatics · 2021Article
- Sorting Out Sorting Nexins Functions in the Nervous System in Health and Disease.Molecular neurobiology · 2021Review
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Authors and funding
16 authors at 3 institutions in 1 country.
Funding
Abstract
Genome-wide association studies (GWAS) have identified many genomic loci associated with risk for schizophrenia, but unambiguous identification of the relationship between disease-associated variants and specific genes, and in particular their effect on risk conferring transcripts, has proven difficult. To better understand the specific molecular mechanism(s) at the schizophrenia locus in 11q25, we undertook cis expression quantitative trait loci (cis-eQTL) mapping for this 2 megabase genomic region using postmortem human brain samples. To comprehensively assess the effects of genetic risk upon local expression, we evaluated multiple transcript features: genes, exons, and exon-exon junctions in multiple brain regions-dorsolateral prefrontal cortex (DLPFC), hippocampus, and caudate. Genetic risk variants strongly associated with expression of SNX19 transcript features that tag multiple rare classes of SNX19 transcripts, whereas they only weakly affected expression of an exon-exon junction that tags the majority of abundant transcripts. The most prominent class of SNX19 risk-associated transcripts is predicted to be overexpressed, defined by an exon-exon splice junction between exons 8 and 10 (junc8.10) and that is predicted to encode proteins that lack the characteristic nexin C terminal domain. Risk alleles were also associated with either increased or decreased expression of multiple additional classes of transcripts. With RACE, molecular cloning, and long read sequencing, we found a number of novel SNX19 transcripts that further define the set of potential etiological transcripts. We explored epigenetic regulation of SNX19 expression and found that DNA methylation at CpG sites near the primary transcription start site and within exon 2 partially mediate the effects of risk variants on risk-associated expression. ATAC sequencing revealed that some of the most strongly risk-associated SNPs are located within a region of open chromatin, suggesting a nearby regulatory element is involved. These findings indicate a potentially complex molecular etiology, in which risk alleles for schizophrenia generate epigenetic alterations and dysregulation of multiple classes of SNX19 transcripts.
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