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Updated: Jul 26, 2026

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq
Published on: March 12, 2021
CommonMind Consortium provides transcriptomic and epigenomic data for Schizophrenia and Bipolar Disorder
Gabriel E Hoffman1,2, Jaroslav Bendl1,2,3, Georgios Voloudakis1,2,3
1Pamela Sklar Division of Psychiatric Genomics, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
This study provides functional genomics data from postmortem brains to understand molecular mechanisms of schizophrenia and bipolar disorder. The public resource aids research into these complex brain diseases.
Area of Science:
- Neuroscience
- Genomics
- Psychiatry
Background:
- Schizophrenia and bipolar disorder affect over 2% of adults.
- Genetics studies identified risk regions, but molecular mechanisms remain unclear.
- Bridging the gap between genetic risk and disease phenotype is crucial.
Purpose of the Study:
- To create a public functional genomics resource from postmortem brains.
- To investigate molecular mechanisms underlying schizophrenia and bipolar disorder.
- To facilitate research by providing preprocessed, quality-controlled data.
Main Methods:
- Multi-cohort genomics study using postmortem dorsolateral prefrontal cortex (DLPFC) tissue.
- Analysis of RNA-seq, SNP genotypes, and ATAC-seq data from 986 individuals.
- Data preprocessing and quality control for public accessibility.
Main Results:
- A comprehensive dataset of functional genomic information from controls, schizophrenia, and bipolar disorder cases.
- Data available for 986 individuals, including RNA-seq, SNP, and ATAC-seq.
- Resource established on the Synapse platform for community use.
Conclusions:
- The study presents a valuable public resource for studying the molecular basis of schizophrenia and bipolar disorder.
- This data can advance our understanding of how genetic risk factors contribute to these severe mental illnesses.
- The CommonMind dataset empowers researchers to explore gene expression and epigenetic regulation in disease contexts.
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