Genome-wide association studies (GWAS) are commonly used to link genomic variants to specific phenotypes like disease. When GWAS point to variation in well-annotated loci such as protein-coding regions, the results can provide invaluable insight.
In practice, however, GWAS often indicate causal variation in distal regulatory sequences that are separated from their transcriptional target by several kilobases, obscuring conclusions. With HiChIP, GWAS researchers can directly associate causal variation in distal regulatory sequences with the transcriptional targets that they regulate.
This grant will be awarded to research groups looking to supplement their GWAS initiatives with HiChIP technology.