Defining causal roles of genomic variants on gene regulatory networks with spatiotemporally-resolved single-cell multiomics

Supporting IGVF by modeling genetics, function, and phenotype with machine learning

Predicting the impact of genetic variants, genes and pathways on human disease

Deciphering the Genomics of Gene Network Regulation of T Cell and Fibroblast States in Autoimmune Inflammation

High-Throughput Functional Annotation of Gene Regulatory Elements and Variants Critical to Complex Cellular Phenotypes

A Data and Administrative Coordinating Center for the Impact of Genomic Variation on Function Consortium

Single-cell Mapping Center for Human Regulatory Elements and Gene Activity

Stanford Center for Connecting DNA Variants to Function and Phenotype

A foundational resource of functional elements, TF footprints and gene regulatory interactions

Multiscale functional characterization of genomic variation in human developmental disorders

Predicting context-specific molecular and phenotypic effects of genetic variation through the lens of the cis-regulatory code

ENCODE

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

New Approaches for leveraging single-cell data to identify disease-critical genes and gene sets

IGVF affiliate

Community

WashU-Northwestern Genomic Variation and Function Data and Administrative Coordinating Center

Predictive Modeling of the Functional and Phenotypic Impacts of Genetic Variants

Comprehensive characterization of variants underlying heart and blood diseases with CRISPR base editing

Linking genome variation to transcriptional network dynamics in human B cells

Leveraging genetic variation to dissect gene regulatory networks of reprogramming to pluripotency

Center for Mouse Genomic Variation at Single Cell Resolution

The impact of genomic variation on environment-induced changes in pancreatic beta-cell states

Systematic in vivo characterization of disease-associated regulatory variants

Molecular phenotyping of ~100,000 coding variants across Mendelian disease genes