Massively parallel characterization of variants and elements impacting transcriptional regulation in dynamic cellular systems

NIH RePORTER · NIH · UM1 · $1,798,272 · view on reporter.nih.gov ↗

Abstract

SUMMARY / ABSTRACT A major fraction of heritability for common diseases, as well as for the penetrance and expressivity of rare diseases, partitions to distal regulatory elements in the human genome, overwhelmingly cell type-specific enhancers. However, a rate-limiting challenge for the field has been how to identify the specific variants, elements and regulated genes that mediate these effects on disease liability. Towards the overall goals of the Impact of Genomic Variation on Function (IGVF) Consortium, we propose to test over one million human regulatory elements or variants for their functional effects on transcriptional regulation, as well as to query over 100,000 distal regulatory elements for the gene(s) that they regulate. A first theme of our proposal is the diversity of multiplex technologies that we will employ to these ends, including massively parallel reporter assays (MPRAs), crisprQTL, saturation genome editing, multiplex prime editing and single cell combinatorial indexing, many of which we pioneered. A second theme is a focus on dynamic cellular systems that enable a given library of variants and/or elements to be tested across a broad range of cell types and states within a single experiment; these will include ESC-derived neuronal progenitors, cardiomyocytes, embryoid bodies, gastruloids and organoids, and in select cases, mice. A third theme involves leveraging our experience (e.g. CADD, a widely used, genome-wide catalog of variant effect predictions) to support the overarching goals of IGVF. Specifically, we envision using functional measurements generated by us and others to produce well-calibrated predictions of enhancer activity and variant effects that are continuous along the branching trajectories that comprise human development. Our specific aims are as follows: (1) To perform massively parallel validation and functional characterization of candidate human enhancers in a broad range of cell type contexts. (2) To perform massively parallel characterization of human genetic variants with potential roles in human disease. (3) To contribute to a comprehensive variant-element-phenotype catalog while taking a leadership role in synergistic interactions within IGVF, in the dissemination of methods, data and predictions, and in the overarching goals of the consortium.

Key facts

NIH application ID
10471968
Project number
5UM1HG011966-02
Recipient
UNIVERSITY OF WASHINGTON
Principal Investigator
Nadav Ahituv
Activity code
UM1
Funding institute
NIH
Fiscal year
2022
Award amount
$1,798,272
Award type
5
Project period
2021-09-01 → 2026-05-31