Massively parallel characterization of variants and elements impacting transcriptional regulation in dynamic cellular systems
Project Number5UM1HG011966-04
Contact PI/Project LeaderSHENDURE, JAY ASHOK Other PIs
Awardee OrganizationUNIVERSITY OF WASHINGTON
Description
Abstract Text
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.
Public Health Relevance Statement
NARRATIVE
Most genetic variants that contribute to the risk or severity of common and rare diseases fall in regions of the
human genome that control the expression of genes, rather than in the genes themselves. Although we have
learned the hallmark characteristics of such “enhancer” regions, it has been exceedingly difficult to pinpoint which
genetic variants within them are disease-contributory and which gene(s) they act through. Here we propose to
leverage cutting-edge technologies to functionally test over one million candidate enhancers or variants therein
for their role in modulating the expression of neighboring genes. If we are successful, this work will critically
facilitate the leveraging of genetics to inform the prediction of individual disease risk, as well as the development
or prioritization of therapeutic strategies that are well-supported by genetic evidence.
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