Abstract

MESA is a 10-year observational study of the characteristics of subclinical cardiovascular disease (disease detected non-invasively before it has produced clinical signs and symptoms) and risk factors that predict progression to clinically overt cardiovascular disease and that predict progression of subclinical disease itself, in a diverse and representative population-based sample of 6,500 men and women aged 45-84. Approximately 40 percent of the cohort will be white, 30 percent African-American, 20 percent Hispanic, and 10 percent Chinese-American. The cohort will be recruited from six Field Centers and characterized with respect to a variety of subclinical cardiovascular disease measures, standard coronary risk factors, sociodemographic factors, lifestyle factors, and psychosocial factors. Blood samples will be assayed for putative biochemical risk factors and stored for case-control studies. DNA will be extracted and lymphocytes immortalized for study of candidate genes and possibly genome-wide scanning. Four clinical examinations, 18-24 months apart, are planned. Participants will be followed for identification and characterization of cardiovascular disease events and interventions received.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
Division of Epidemiology And Clinical Applications (NHLBI)
Type
Research and Development Contracts (N01)
Project #
N01HC095167-002
Application #
6359449
Study Section
Project Start
1999-01-15
Project End
2009-01-14
Budget Start
2000-09-29
Budget End
2001-04-30
Support Year
Fiscal Year
2000
Total Cost
$61,760
Indirect Cost

  Institution

Name
Tufts University
Department
Type
DUNS #
City
Boston
State
MA
Country
United States
Zip Code
02111

  Publications

Kwon, Younghoon; Jacobs Jr, David R; Lutsey, Pamela L et al. (2018) ""Sleep disordered breathing and ECG R-wave to radial artery pulse delay, The Multi-Ethnic Study of Atherosclerosis"". Sleep Med 48:172-179
Wu, Meihua; Diez-Roux, Ana; Raghunathan, Trivellore E et al. (2018) FPCA-based method to select optimal sampling schedules that capture between-subject variability in longitudinal studies. Biometrics 74:229-238
Hajek, Catherine; Guo, Xiuqing; Yao, Jie et al. (2018) Coronary Heart Disease Genetic Risk Score Predicts Cardiovascular Disease Risk in Men, Not Women. Circ Genom Precis Med 11:e002324
Seyerle, A A; Sitlani, C M; Noordam, R et al. (2018) Pharmacogenomics study of thiazide diuretics and QT interval in multi-ethnic populations: the cohorts for heart and aging research in genomic epidemiology. Pharmacogenomics J 18:215-226
de Boer, Rudolf A; Nayor, Matthew; deFilippi, Christopher R et al. (2018) Association of Cardiovascular Biomarkers With Incident Heart Failure With Preserved and Reduced Ejection Fraction. JAMA Cardiol 3:215-224
Leary, Peter J; Kronmal, Richard A; Bluemke, David A et al. (2018) Histamine H2 Receptor Polymorphisms, Myocardial Transcripts, and Heart Failure (from the Multi-Ethnic Study of Atherosclerosis and Beta-Blocker Effect on Remodeling and Gene Expression Trial). Am J Cardiol 121:256-261
Steffen, Brian T; Guan, Weihua; Stein, James H et al. (2018) Plasma n-3 and n-6 Fatty Acids Are Differentially Related to Carotid Plaque and Its Progression: The Multi-Ethnic Study of Atherosclerosis. Arterioscler Thromb Vasc Biol 38:653-659
Keaton, Jacob M; Gao, Chuan; Guan, Meijian et al. (2018) Genome-wide interaction with the insulin secretion locus MTNR1B reveals CMIP as a novel type 2 diabetes susceptibility gene in African Americans. Genet Epidemiol 42:559-570
Bell, Elizabeth J; Decker, Paul A; Tsai, Michael Y et al. (2018) Hepatocyte growth factor is associated with progression of atherosclerosis: The Multi-Ethnic Study of Atherosclerosis (MESA). Atherosclerosis 272:162-167
Haljas, Kadri; Amare, Azmeraw T; Alizadeh, Behrooz Z et al. (2018) Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits. Psychosom Med 80:242-251

Showing the most recent 10 out of 411 publications