Determining how DNA variants affect the binding of regulatory complexes to cisregulatory elements (CREs) and non-coding single-nucleotide polymorphisms (ncSNPs) is a challenge in genomics. To address this challenge, we have developed CASCADE (Comprehensive ASsessment of Complex Assembly at DNA Elements), which is a proteinbinding microarray (PBM)-based approach that allows for the high-throughput profiling of cofactor (COF) recruitment to DNA sequence variants. The method also enables one to infer the identity of the transcription factor-cofactor (TF-COF) complexes involved in COF recruitment.We use CASCADE to characterize regulatory complexes binding to CREs and SNP quantitative trait loci (SNP-QTLs) in resting and stimulated human macrophages. By profiling the recruitment of the acetyltransferase p300 and MLL methyltransferase component RBBP5, we identify key regulators of the chemokine CXCL10, and by profiling a set of five functionally diverse COFs we identify a prevalence of ETS sites mediating COF recruitment at SNP-QTLs in macrophages.Our results demonstrate that CASCADE is a customizable, high-throughput platform to link DNA variants with the biophysical complexes that mediate functions such as chromatin modification or remodeling in a cell state-specific manner.
MainDetermining the impact of genetic variation on cis-regulatory elements (CREs), such as enhancers and promoters that control gene expression, remains a challenge in modern genomics. Genome-wide association studies (GWAS) have identified thousands of singlenucleotide polymorphisms (SNPs) associated with human diseases, but the causal variants and their biological effects remain largely unknown 1-3 . Variants underlying disease risk often function by altering CRE function and gene expression. For example, >50% of causal SNPs for autoimmune diseases are non-coding SNPs (ncSNPs) mapping to immune gene enhancers 4 . Therefore, a major challenge in understanding disease susceptibility is to determine how non-