ArticleGenome medicine2022
Functional genomic analysis delineates regulatory mechanisms of GWAS-identified bipolar disorder risk variants.
Article in Genome medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Sex-biased transcriptomic landscapes in bipolar disorder: integrating neurobiology and clinical heterogeneity through cross-study meta-analysis.Biology of sex differences · 2026Pooled it
- Genotype epigenome phenotype integration reveals peripheral immune contributions to type I bipolar disorder.Nature communications · 2026Article
- PACS1 syndrome mutation disrupts dynein-mediated cargo transport via HDAC6 and BICD2.Communications biology · 2026Article
- Comprehensive bibliometric analysis of pharmacotherapy for bipolar disorders: Present trends and future directions.World journal of psychiatry · 2025Article
- Identifying novel proteins underlying bipolar disorder via integrating pQTLs of the plasma, CSF, and brain with GWAS summary data.Translational psychiatry · 2024Article
- Do PACS1 variants impeding adaptor protein binding predispose to syndromic intellectual disability?American journal of medical genetics. Part A · 2023Article
- Genomic regulatory sequences in the pathogenesis of bipolar disorder.Frontiers in psychiatry · 2023Review
- Article
- dbBIP: a comprehensive bipolar disorder database for genetic research.Database : the journal of biological databases and curation · 2022Article
- Optimizing CRISPR/Cas9 Editing of Repetitive Single Nucleotide Variants.Frontiers in genome editing · 2022Article
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundGenome-wide association studies (GWASs) have identified multiple risk loci for bipolar disorder (BD). However, pinpointing functional (or causal) variants in the reported risk loci and elucidating their regulatory mechanisms remain challenging.
methodsWe first integrated chromatin immunoprecipitation sequencing (ChIP-Seq) data from human brain tissues (or neuronal cell lines) and position weight matrix (PWM) data to identify functional single-nucleotide polymorphisms (SNPs). Then, we verified the regulatory effects of these transcription factor (TF) binding-disrupting SNPs (hereafter referred to as "functional SNPs") through a series of experiments, including reporter gene assays, allele-specific expression (ASE) analysis, TF knockdown, CRISPR/Cas9-mediated genome editing, and expression quantitative trait loci (eQTL) analysis. Finally, we overexpressed PACS1 (whose expression was most significantly associated with the identified functional SNPs rs10896081 and rs3862386) in mouse primary cortical neurons to investigate if PACS1 affects dendritic spine density.
resultsWe identified 16 functional SNPs (in 9 risk loci); these functional SNPs disrupted the binding of 7 TFs, for example, CTCF and REST binding was frequently disrupted. We then identified the potential target genes whose expression in the human brain was regulated by these functional SNPs through eQTL analysis. Of note, we showed dysregulation of some target genes of the identified TF binding-disrupting SNPs in BD patients compared with controls, and overexpression of PACS1 reduced the density of dendritic spines, revealing the possible biological mechanisms of these functional SNPs in BD.
conclusionsOur study identifies functional SNPs in some reported risk loci and sheds light on the regulatory mechanisms of BD risk variants. Further functional characterization and mechanistic studies of these functional SNPs and candidate genes will help to elucidate BD pathogenesis and develop new therapeutic approaches and drugs.
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