AUTHOR=Hemerich Daiane , van Setten Jessica , Tragante Vinicius , Asselbergs Folkert W. TITLE=Integrative Bioinformatics Approaches for Identification of Drug Targets in Hypertension JOURNAL=Frontiers in Cardiovascular Medicine VOLUME=5 YEAR=2018 URL=https://www.frontiersin.org/journals/cardiovascular-medicine/articles/10.3389/fcvm.2018.00025 DOI=10.3389/fcvm.2018.00025 ISSN=2297-055X ABSTRACT=

High blood pressure or hypertension is an established risk factor for a myriad of cardiovascular diseases. Genome-wide association studies have successfully found over nine hundred loci that contribute to blood pressure. However, the mechanisms through which these loci contribute to disease are still relatively undetermined as less than 10% of hypertension-associated variants are located in coding regions. Phenotypic cell-type specificity analyses and expression quantitative trait loci show predominant vascular and cardiac tissue involvement for blood pressure-associated variants. Maps of chromosomal conformation and expression quantitative trait loci (eQTL) in critical tissues identified 2,424 genes interacting with blood pressure-associated loci, of which 517 are druggable. Integrating genome, regulome and transcriptome information in relevant cell-types could help to functionally annotate blood pressure associated loci and identify drug targets.