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Large-Scale Multi-Omics Studies Provide New Insights Into Blood Pressure Regulation Publisher Pubmed



Kamali Z1, 2 ; Keaton JM3, 4 ; Javanmard SH5, 6 ; Edwards TL7 ; Snieder H1 ; Vaez A1, 2
Authors
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Authors Affiliations
  1. 1. Department of Epidemiology, University of Groningen, University Medical Centre Groningen, Groningen, 9713 GZ, Netherlands
  2. 2. Department of Bioinformatics, Isfahan University of Medical Sciences, P.O. Box, Isfahan, 81746-7346, Iran
  3. 3. Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, 37203, TN, United States
  4. 4. Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, 20894, MD, United States
  5. 5. Applied Physiology Research Centre, Cardiovascular Research Institute, Isfahan University of Medical Sciences, P.O. Box 81746-7346, Isfahan, Iran
  6. 6. Regenerative Medicine Research Center, Isfahan University of Medical Sciences, P.O. Box 81746-7346, Isfahan, Iran
  7. 7. Division of Epidemiology, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, 37204, TN, United States

Source: International Journal of Molecular Sciences Published:2022


Abstract

Recent genome-wide association studies uncovered part of blood pressure’s heritability. However, there is still a vast gap between genetics and biology that needs to be bridged. Here, we followed up blood pressure genome-wide summary statistics of over 750,000 individuals, leveraging comprehensive epigenomic and transcriptomic data from blood with a follow-up in cardiovascular tissues to prioritise likely causal genes and underlying blood pressure mechanisms. We first prioritised genes based on coding consequences, multilayer molecular associations, blood pressureassociated expression levels, and coregulation evidence. Next, we followed up the prioritised genes in multilayer studies of genomics, epigenomics, and transcriptomics, functional enrichment, and their potential suitability as drug targets. Our analyses yielded 1880 likely causal genes for blood pressure, tens of which are targets of the available licensed drugs. We identified 34 novel genes for blood pressure, supported by more than one source of biological evidence. Twenty-eight (82%) of these new genes were successfully replicated by transcriptome-wide association analyses in a large independent cohort (n = ~220,000). We also found a substantial mediating role for epigenetic regulation of the prioritised genes. Our results provide new insights into genetic regulation of blood pressure in terms of likely causal genes and involved biological pathways offering opportunities for future translation into clinical practice. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
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