High-throughput functional analysis of regulatory variants using a massively parallel reporter assay.

Association studies describe genetic associations between noncoding variants and disease susceptibility; however, they do not provide functional insight into the underlying molecular mechanisms of these variants. We present a protocol to assay the regulatory potential of thousands of noncoding variants using massively parallel reporter assays. We describe steps for oligo design, generating a plasmid pool, and extracting tag-seq libraries from cells to quantify the tested sequences. For complete details on the use and execution of this protocol, please refer to Oliveros and Delfosse et al.1.

Systematic characterization of regulatory variants of blood pressure genes.

High blood pressure (BP) is the major risk factor for cardiovascular disease. Genome-wide association studies have identified genetic variants for BP, but functional insights into causality and related molecular mechanisms lag behind. We functionally characterize 4,608 genetic variants in linkage with 135 BP loci in vascular smooth muscle cells and cardiomyocytes by massively parallel reporter assays. High densities of regulatory variants at BP loci (i.e., ULK4, MAP4, CFDP1, PDE5A) indicate that multiple variants drive genetic association. Regulatory variants are enriched in repeats, alter cardiovascular-related transcription factor motifs, and spatially converge with genes controlling specific cardiovascular pathways. Using heuristic scoring, we define likely causal variants, and CRISPR prime editing finally determines causal variants for KCNK9, SFXN2, and PCGF6, which are candidates for developing high BP. Our systems-level approach provides a catalog of functionally relevant variants and their genomic architecture in two trait-relevant cell lines for a better understanding of BP gene regulation.