Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

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

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

PROVIDER: PRJNA937667 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

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

Project description:Massively parallel functional dissection of schizophrenia associated non-coding genetic variants

| PRJNA937652 | ENA

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

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

| PRJNA937666 | ENA

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

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

| PRJNA937668 | ENA

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

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

| PRJNA937665 | ENA

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

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 | GSE225815 | GEO

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

2023-10-16 | GSE225816 | 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

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

Project description:Schizophrenia (SCZ) is a severe mental disorder affecting 1% of the world population. SCZ is characterized by an underlying genetic architecture that is highly polygenic. Genome wide association studies have identified thousands of genetic variants that are statistically linked to the disease. However, the translation of these associations into insights on the pathomechanisms has been challenging because the causal genetic variants, their molecular function, and their target genes remain largely unknown. To address these questions, we combined induced pluripotent stem cell technology with a massively parallel variant annotation pipeline (MVAP) to functionally characterize 35,000 SCZ associated non-coding genetic variants. This approach identified a set of 620 (1.7%) single nucleotide polymorphisms as functional on the molecular level in a highly cell type and condition specific fashion. Subsequent multi-modal integration of epigenomic data combined with CRISPR screening in human neurons enabled us to systematically translate SCZ variant associations into target genes, biological processes, and ultimately alterations of neuronal physiology. These results provide a new high-resolution map of functional variant-gene combinations and offer comprehensive biological insights into the developmental context and stimulus dependent molecular processes modulated by SCZ genetic variation beyond statistical association.

| EGAS00001007542 | EGA

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

Project description:This SuperSeries is composed of the SubSeries listed below.

2023-10-16 | GSE225817 | GEO