The Genetic Epidemiology Network of Arteriopathy (GENOA) was initiated in 1995 to study the genetics of hypertension and its arteriosclerotic complications in sibships. Arteriosclerosis (i.e., atherosclerosis and arteriolosclerosis) of the cardiac, cerebral, renal, and peripheral arteries leads to target organ damage and clinical sequelae such as heart attack, heart failure, stroke, dementia, chronic kidney disease, and claudication. In this application, we propose to conduct an exome-wide association study (Aim 1) and transcriptomic profiling (Aim 2) as cost-effective methods of identifying and studying functional variations in the 1020 GENOA African-American and non-Hispanic White sibships (N=2912) who are at high risk of developing a wide range of arteriosclerotic clinical outcomes. The GENOA cohort provides a unique opportunity to assess the phenotypic impact of rare variants that naturally replicate within a sibship, but may not be seen again even in large epidemiological populations. The GENOA community-based sampling of hypertensive sibships was explicitly designed to study the genetics of multiple late-onset arteriosclerotic diseases that typically become clinically apparent only in the upper generations of families. In order to ultimately identify """"""""at risk"""""""" individuals and estimate the cumulative burden of genetic risk allele in two U.S. populations (Aim 3) we will estimate genetic risk scores and assess the attributable fraction of phenotypic variation explained by these new genetic variations.

Public Health Relevance

In this project we will use state-of-the-art exome-wide association study (EWAS) to identify the genetic mutations that make some families have a very high risk of developing heart attacks, strokes, dementia, and kidney disease because of arteriosclerosis.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
1R01HL119443-01A1
Application #
8758883
Study Section
Cardiovascular and Sleep Epidemiology Study Section (CASE)
Program Officer
Jaquish, Cashell E
Project Start
2014-09-01
Project End
2018-06-30
Budget Start
2014-09-01
Budget End
2015-06-30
Support Year
1
Fiscal Year
2014
Total Cost
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Public Health & Prev Medicine
Type
Schools of Public Health
DUNS #
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
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Ward-Caviness, Cavin K; Huffman, Jennifer E; Everett, Karl et al. (2018) DNA methylation age is associated with an altered hemostatic profile in a multiethnic meta-analysis. Blood 132:1842-1850
Liu, Jiaxuan; Zhao, Wei; Ware, Erin B et al. (2018) DNA methylation in the APOE genomic region is associated with cognitive function in African Americans. BMC Med Genomics 11:43
Kattah, Andrea G; Suarez, Maria L G; Milic, Natasa et al. (2018) Hormone therapy and urine protein excretion: a multiracial cohort study, systematic review, and meta-analysis. Menopause 25:625-634
Rudra, Pratyaydipta; Broadaway, K Alaine; Ware, Erin B et al. (2018) Testing cross-phenotype effects of rare variants in longitudinal studies of complex traits. Genet Epidemiol 42:320-332
Jhun, Min A; Smith, Jennifer A; Ware, Erin B et al. (2017) Modeling the Causal Role of DNA Methylation in the Association Between Cigarette Smoking and Inflammation in African Americans: A 2-Step Epigenetic Mendelian Randomization Study. Am J Epidemiol 186:1149-1158
Marouli, Eirini (see original citation for additional authors) (2017) Rare and low-frequency coding variants alter human adult height. Nature 542:186-190
Böger, Carsten A; Gorski, Mathias; McMahon, Gearoid M et al. (2017) NFAT5 andSLC4A10Loci Associate with Plasma Osmolality. J Am Soc Nephrol 28:2311-2321
Do, Anh N; Zhao, Wei; Srinivasasainagendra, Vinodh et al. (2017) Whole exome analyses to examine the impact of rare variants on left ventricular traits in African American participants from the HyperGEN and GENOA studies. J Hypertens Manag 3:
Li, Man; Li, Yong; Weeks, Olivia et al. (2017) SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. J Am Soc Nephrol 28:981-994

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