Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

A Missense Variant in CASKIN1's Proline-Rich Region Segregates with Psychosis in a Three-Generation Family

ABSTRACT: The polygenic nature of schizophrenia (SCZ) implicates many variants in disease development. Rare variants of high penetrance have been shown to contribute to the disease prevalence. Whole-exome sequencing of a large three-generation family with SCZ and bipolar disorder identified a single segregating novel, rare, non-synonymous variant in the gene CASKIN1. The variant D1204N is absent from all databases, and CASKIN1 has a gnomAD missense score Z = 1.79 and pLI = 1, indicating its strong intolerance to variation. We find that introducing variants in the proline-rich region where the D1204N resides results in significant cellular changes in iPSC-derived neurons, consistent with CASKIN1’s known functions. We observe significant transcriptomic changes in 368 genes (padj < 0.05) involved in neuronal differentiation and nervous system development. We also observed nominally significant changes in the frequency of action potentials during differentiation, where the speed at which the edited and unedited cells reach the same level of activity differs. Our results suggest that CASKIN1 is an excellent gene candidate for psychosis development with high penetrance in this family.

ORGANISM(S): Homo sapiens

PROVIDER: GSE268384 | GEO | 2024/05/30

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Gene Networks and Blood Biomarkers of Methamphetamine-Associated Psychosis: A Preliminary Integrative RNA-Sequencing Report

Project description:The clinical presentation, course and treatment of methamphetamine-associated psychosis (MAP) are similar to that observed in schizophrenia (SCZ) and subsequently MAP has been hypothesized as a pharmacological and environmental model of SCZ. However, several challenges currently exist in accurately diagnosing MAP at the molecular and neurocognitive level before the MAP model can contribute to the discovery of SCZ biomarkers. We directly assessed subcortical brain structural volumes and clinical parameters of MAP within the framework of an integrative genome-wide RNA-Seq blood transcriptome analysis of subjects diagnosed with MAP (N=10), METH-dependency without psychosis (MA) (N=10) and healthy controls (N=10). We used RNA-Sequencing gene expression to characterize molecular signatures associated to METH and MAP status compared to healthy control subjects. Peripheral blood luekocytes gene expression was subject to transcriptional analysis for 10 MAP subjects, 10 subjects with METH-dependency without psychotic symptomics and 10 healthy controls.

2016-03-01 | E-GEOD-74737 | biostudies-arrayexpress

Functional Schizophrenia-associated genetic variant near the TSNARE1 and ADGRB1 genes

Project description:Recent collaborative genome wide association studies (GWAS) have identified >200 independent loci contributing to risk for schizophrenia (SCZ). The genes closest to these loci have diverse functions, supporting the potential involvement of multiple relevant biological processes; yet there is no direct evidence that individual variants are functional or directly linked to specific genes. Nevertheless, overlap with certain epigenetic marks suggest that most GWAS-implicated variants are regulatory. Based on the strength of association with SCZ and the presence of regulatory epigenetic marks, we chose one such variant near TSNARE1 and ADGRB1, rs4129585, to test for functional potential and assay differences that may drive the pathogenicity of the risk allele. We observed that the variant-containing sequence drives reporter expression in relevant neuronal populations in zebrafish. Next, we introduced each allele into human induced pluripotent cells and differentiated 4 isogenic clones homozygous for the risk allele and 5 clones homozygous for the non-risk allele into neural precursor cells. Employing RNA-seq, we found that the two alleles yield significant transcriptional differences in the expression of 109 genes at FDR <0.05 and 259 genes at FDR <0.1. We demonstrate that these genes are highly interconnected in pathways enriched for synaptic proteins, axon guidance, and regulation of synapse assembly. Exploration of genes near rs4129585 suggests that this variant does not regulate TSNARE1 transcripts, as previously thought, but may regulate the neighboring ADGRB1, a regulator of synaptogenesis. Our results suggest that rs4129585 is a functional common variant that functions in specific pathways likely involved in SCZ risk.

2024-06-12 | GSE263894 | GEO

Gene Networks and Blood Biomarkers of Methamphetamine-Associated Psychosis: A Preliminary Integrative RNA-Sequencing Report

2016-03-01 | GSE74737 | GEO

AxiomM-BM-. Exome 319 Array data to identify susceptible genetic variations of gastric cancer

Project description:To efficiently identify genetic susceptibility variants for gastric cancer, including rare coding variants, we performed an exome chip-based array study. We found that a linkage disequilibrium (LD) block containing 2 significant variants in PSCA gene increased the risk and two blocks that included 15 suggested variants including TRIM31, TRIM 40, TRIM 10, and TRIM26 regions, and included one suggested variant and OR2H2 gene showed protective associations with gastric cancer susceptibility. In addition, the PLEC region (rs200893203), FBLN2 region (rs201192415), and EPHA2 region (rs3754334) were associated with increased susceptibility We performed an exome chip-based array study in 329 gastric cancer cases and 683 controls.

2014-06-11 | E-GEOD-58356 | biostudies-arrayexpress

Massively parallel functional dissection of schizophrenia associated non-coding genetic variants [ATAC-seq]

Project description:Schizophrenia (SCZ) is a highly polygenic disease and genome wide association studies have identified thousands of genetic variants that are statistically associated with this psychiatric disorder. However, our ability to translate these associations into insights on the disease mechanisms has been challenging since the causal genetic variants, their molecular function and their target genes remain largely unknown. In order to address these questions, we established a functional genomics pipeline in combination with induced pluripotent stem cell technology to functionally characterize 35,000 non-coding genetic variants associated with schizophrenia along with their target genes. This analysis identified a set of 620 (1.7%) single nucleotide polymorphisms as functional on a molecular level in a highly cell type and condition specific fashion. These results provide a high-resolution map of functional variant-gene combinations and offer comprehensive biological insights into the developmental context and stimulation dependent molecular processes modulated by SCZ associated genetic variation.

2023-10-16 | GSE225816 | GEO

Massively parallel functional dissection of schizophrenia associated non-coding genetic variants [MPRA]

2023-10-16 | GSE225815 | GEO

Massively parallel functional dissection of schizophrenia associated non-coding genetic variants [scRNA-seq]

2023-10-16 | GSE225814 | GEO

Massively parallel functional dissection of schizophrenia associated non-coding genetic variants [RNA-seq]

2023-10-16 | GSE225813 | GEO

Functional rare and low frequency variants in BLK and BANK contribute to human lupus pathogenesis

Project description:Systemic lupus erythematosus (SLE) is the prototypic systemic autoimmune disease. It is thought that many common variant gene loci of weak effect act additively to predispose to common autoimmune diseases, while the contribution of rare variants remains unclear. Here we describe that rare coding variants in lupus-risk genes are present in most SLE patients and healthy controls. We demonstrate the functional consequences of rare and low frequency missense variants in the interacting proteins BLK and BANK, which are present alone, or in combination, in a substantial proportion of lupus patients. The rare variant found in patients, but not those found exclusively in controls, impair suppression of IRF and type-I IFN in human B cell lines and increase pathogenic lymphocytes in lupus-prone mice. Thus, rare gene variants are common in SLE and likely contribute to genetic risk.

2019-05-01 | GSE126307 | GEO

Axiom® Exome 319 Array data to identify susceptible genetic variations of gastric cancer

2014-06-11 | GSE58356 | GEO