# Functional genomic resource and integrative model of dopaminergic circuitry associated with psychiatric disease

> **NIH NIH U01** · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · 2021 · $14,740

## Abstract

PROJECT SUMMARY: Supplement to Functional genomic resource and integrative model of
dopaminergic circuitry associated with psychiatric disease
In response to PA-20-272, “Administrative Supplements to Existing NIH Grants and Cooperative Agreements
(Parent Admin Supp Clinical Trial Optional),” we propose to validate a small number of additional target genes
identified by parent U01 (U01DA048279: Functional genomic resource and integrative model of dopaminergic
circuitry associated with psychiatric disease). The parent award aims to construct transcriptome and epigenome
(incl. 3D genome/chromosomal conformation) maps for midbrain dopaminergic neurons and for their surrounding
nonneuronal cells, and to assess the relationship to known genetic risk factors for complex mental illness,
including psychosis with substance abuse co-morbidity. We will apply integrative methods for functional analysis
of genetic variation and networks, including but not limited to Bayesian network reconstruction and prediction
algorithms of variant causality to identify key drivers of schizophrenia and bipolar disease pathology, and drug
addiction co-morbidity. These methods will simultaneously integrate multiple different dimensions of data: DNA
variation, RNA expression, chromatin accessibility, 3D structure of the genome, and known pathway and gene
network information in the context of clinical phenotype data. The fundamental source of data for the project
comes from the current studies on human midbrain functional omics, the CommonMind and PsychENCODE
consortia (whole genome sequencing and cortical functional omics data), the Psychiatric Genomics Consortium,
and the Million Veterans Project (genetic variation and disease phenotypes). The Million Veterans Project (MVP)
has collected genotyping and phenotypic data from ~700,000 individuals, including a subgroup of 50,000
veterans diagnosed with SCZ and BD and a larger group of individuals diagnosed with other neuropsychiatric
traits (recurrent depression, suicide and substance abuse). We will make our newly generated transcriptome
and epigenome datasets from adult midbrain, as well as the network and predictive models, available to the
research community in accordance with NIMH data sharing policies.

## Key facts

- **NIH application ID:** 10400466
- **Project number:** 3U01DA048279-03S1
- **Recipient organization:** ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
- **Principal Investigator:** Schahram Akbarian
- **Activity code:** U01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $14,740
- **Award type:** 3
- **Project period:** 2019-05-01 → 2024-02-29

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10400466

## Citation

> US National Institutes of Health, RePORTER application 10400466, Functional genomic resource and integrative model of dopaminergic circuitry associated with psychiatric disease (3U01DA048279-03S1). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10400466. Licensed CC0.

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