Integration of genetic fine-mapping and multi-omics data reveals candidate effector genes for hypertension

Abstract

AbstractGenome-wide association studies of blood pressure (BP) have identified >1000 loci but the effector genes and biological pathways at these loci are mostly unknown. Using published meta-analysis summary statistics, we conducted annotation-informed fine-mapping incorporating tissue-specific chromatin segmentation to identify causal variants and candidate effector genes for systolic BP, diastolic BP, and pulse pressure. We observed 532 distinct signals associated with ≥2 BP traits and 84 with all three. For >20% of signals, a single variant accounted for >75% posterior probability, 65 were missense variants in known (SLC39A8, ADRB2, DBH) and previously unreported BP candidate genes (NRIP1, MMP14). In disease-relevant tissues, we colocalized >80 and >400 distinct signals for each BP trait withcis-eQTLs, and regulatory regions from promoter capture Hi-C, respectively. Integrating mouse, human disorder, tissue expression data and literature review, we provide consolidated evidence for 394 BP candidate genes for future functional validation and identifies several new drug targets.