# UCLA IDDRC: Functional Genomics and Genetics Core

> **NIH NIH P50** · UNIVERSITY OF CALIFORNIA LOS ANGELES · 2020 · $104,968

## Abstract

CORE C: Abstract
The Genetics, Genomics, and Informatics Core (GGIC) focuses on the application of genome-
level analyses in neuroscientific investigation, both at the sequence (genetic), gene expression
and epigenetic (genomics) levels. The explosion of next-generation sequencing (NGS)-based
methods has made advanced computational expertise and infrastructure needed for all
sequencing-based applications. The proposed Core aims at providing support for basic and
advanced genetics and genomics experiments in both patient cohorts for translational studies and
experimental models for basic research. Modern genetic and genomic approaches rely on
sequencing technology and require substantial bioinformatics expertise and access to solid
computational resources. This Core leverages a proven history of expertise, as well as support
and collaboration with other investigators in the Gandal and Geschwind groups with regards to
computational and informatics resources funded by NIH and private foundations. Based on this
proven track record, the Core will provide IDDRC investigators with the necessary expertise and
infrastructure to perform high-throughput, genome-wide genetic and genomic studies. State-of-
the-art analytical methods will be used to analyze NGS, gene expression, chromatin accessibility
(e.g., ATAC-seq), methylation, and single cell/nucleus scRNA-seq data, and the resulting
datasets will be posted onto a database accessible to IDDRC investigators, facilitating data
sharing and collaborative analyses. Over the past 15 years, UCLA computational biologists and
statisticians have lead the field of integrative data analysis (Geschwind and Konopka, 2009) and
network-based methods (Oldham et al., 2008; Parikshak et al., 2013; Zhang and Horvath, 2005).
Further, over the past 5 years, IDDRC investigators have published pioneering work interrogating
the functional genomic landscape of human brain development, including the first comprehensive
atlas of single-cell gene expression in the mid-gestation human brain (Polioudakis et al., 2019),
high-resolution mapping of non-coding regulatory elements driving human neurogenesis with
ATAC-seq (de La Torre Ubieta et al, 2018), and large-scale expression and splicing quantitative
trait loci (QTL) profiling in fetal brain (Walker et al., 2019). Expertise in the development and
implementation of these methods (including single-cell analysis, network methods, and integrative
approaches) will be made directly available to IDDRC investigators.

## Key facts

- **NIH application ID:** 10085983
- **Project number:** 1P50HD103557-01
- **Recipient organization:** UNIVERSITY OF CALIFORNIA LOS ANGELES
- **Principal Investigator:** Michael Gandal
- **Activity code:** P50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $104,968
- **Award type:** 1
- **Project period:** 2020-08-01 → 2025-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10085983

## Citation

> US National Institutes of Health, RePORTER application 10085983, UCLA IDDRC: Functional Genomics and Genetics Core (1P50HD103557-01). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10085983. Licensed CC0.

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