High blood pressure (BP), or hypertension (HTN), is a major, heritable cardiovascular risk factor. Several population studies have shown that red blood cell (RBC) traits increase the risk of HTN, coronary heart disease (CHD) and all-cause mortality. Many specific biologic interactions between erythrocytes and the vasculature have been defined, such as regulation of endothelial nitric oxide-mediated vasodilation, but the mechanisms underlying the epidemiologic relationship between RBC traits, HTN and CHD are poorly defined. Concurrently, despite intense investigation into genetic associations with BP in the population, we have yet to define the mechanisms underlying the majority of currently known genetic associations. Genome-wide association studies (GWAS) have identified loci that are common for RBC and BP traits, which is consistent with pleiotropy, but additional investigation is needed to explore whether these genes are directly influencing these traits concordantly, or whether other mechanisms, such as mediation or multiple genes in linkage, are responsible. In this proposal, we will test the overall hypothesis that genetic determinants of RBC traits influence BP and that through statistical analyses of pleiotropy, we may more precisely define the contributions of RBC traits to BP, which are relevant for the outcomes of HTN and CHD. We will conduct statistical analyses in the Atherosclerosis Risk in Communities Study, the Rochester Family Heart Study and the Jackson Heart Study with phenotypes and genetic sequence data in population cohorts as well as functional experiments to evaluate target identified in the statistical analyses. Accordingly, the Aims of this proposal are to: (1) evaluate genetic pleiotropy for RBC and BP traits in population samples; (2) use Mendelian randomization approaches to evaluate the effect of the identified variants on HTN and CHD outcomes; and (3) use functional assays to model the effect of specific genes and variants in vitro and ex vivo. Through the logical progression of these Aims, we will dissect the mechanisms of pleiotropic genetic associations with RBC and BP traits, and we will evaluate their functional and clinical impact on major cardiovascular outcomes.

Public Health Relevance

High blood pressure is a major cardiovascular risk factor with a known genetic component. Several large population studies have demonstrated that red blood cell traits predict high blood pressure, or hypertension, and coronary heart disease, but the mechanisms which underlie these epidemiologic associations are unknown. To investigate these relationships, we will conduct statistical analyses of genetic data in large U.S. population cohorts of European and African ancestry individuals, to discover genes influencing blood pressure. We will additionally evaluate the clinical impact of our findings by testing the association of the identified genes with hypertension and coronary heart disease which is a major sequelae of sustained high blood pressure. Finally, we will perform functional laboratory assays to understand the biologic impact of the discovered genes.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
5R01HL122684-03
Application #
9260018
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
OH, Youngsuk
Project Start
2015-08-10
Project End
2020-04-30
Budget Start
2017-05-01
Budget End
2018-04-30
Support Year
3
Fiscal Year
2017
Total Cost
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
van Rooij, Frank J A; Qayyum, Rehan; Smith, Albert V et al. (2017) Genome-wide Trans-ethnic Meta-analysis Identifies Seven Genetic Loci Influencing Erythrocyte Traits and a Role for RBPMS in Erythropoiesis. Am J Hum Genet 100:51-63
Yang, Bo; Zhou, Wei; Jiao, Jiao et al. (2017) Protein-altering and regulatory genetic variants near GATA4 implicated in bicuspid aortic valve. Nat Commun 8:15481
Liu, Dajiang J (see original citation for additional authors) (2017) Exome-wide association study of plasma lipids in >300,000 individuals. Nat Genet 49:1758-1766
Eicher, John D; Chami, Nathalie; Kacprowski, Tim et al. (2016) Platelet-Related Variants Identified by Exomechip Meta-analysis in 157,293 Individuals. Am J Hum Genet 99:40-55
Polfus, Linda M; Khajuria, Rajiv K; Schick, Ursula M et al. (2016) Whole-Exome Sequencing Identifies Loci Associated with Blood Cell Traits and Reveals a Role for Alternative GFI1B Splice Variants in Human Hematopoiesis. Am J Hum Genet 99:481-8
Polfus, Linda M; Khajuria, Rajiv K; Schick, Ursula M et al. (2016) Whole-Exome Sequencing Identifies Loci Associated with Blood Cell Traits and Reveals a Role for Alternative GFI1B Splice Variants in Human Hematopoiesis. Am J Hum Genet 99:785
CHARGE Consortium Hematology Working Group (2016) Meta-analysis of rare and common exome chip variants identifies S1PR4 and other loci influencing blood cell traits. Nat Genet 48:867-76
Tajuddin, Salman M; Schick, Ursula M; Eicher, John D et al. (2016) Large-Scale Exome-wide Association Analysis Identifies Loci for White Blood Cell Traits and Pleiotropy with Immune-Mediated Diseases. Am J Hum Genet 99:22-39
Chami, Nathalie; Chen, Ming-Huei; Slater, Andrew J et al. (2016) Exome Genotyping Identifies Pleiotropic Variants Associated with Red Blood Cell Traits. Am J Hum Genet 99:8-21
Horikoshi, Momoko; Beaumont, Robin N; Day, Felix R et al. (2016) Genome-wide associations for birth weight and correlations with adult disease. Nature 538:248-252

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