Spatial & Functional
Genomics Affinity Group

3D Genomics

Genome-wide association studies (GWAS) have implicated hundreds of genomic loci in the susceptibility to human disease, but most have failed to identify the precise causal variants or the culprit genes. A map of the three-dimensional, accessible structure of the genome in disease-relevant tissue could offer mechanistic insight into the genetic basis of disease, but current chromosome conformation capture (3C) technologies lack the focus and resolution to precisely identify functional variants and map them to their target genes. To overcome these obstacles, we developed a high-resolution, massively-parallel capture-C-based method (SPATIaL-seq) to characterize the genome-wide interactomes of nearly all of the ~37,000 annotated human protein-coding and non-coding genes in any cell type. Only by uncovering the correct functional context of these genetic variants and understanding how they operate can we truly translate these high value GWAS reports in to meaningful benefits for patient care. We are working in a number of the key common diseases areas:


Areas of Focus

Metabolic disease

Neurologic disease


Autoimmune and inflammatory disease