Recently, consortia of genome-wide association studies (GWAS) have formed around specific phenotypes such as type 2 diabetes and lipids to identify associations with genetic variants. In contrast, the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium was formed in Feb 2008 to facilitate GWAS prospective meta-analyses of a wide range of phenotypes among large population-based cohort studies, including the Age, Gene/Environment Susceptibility Study, Atherosclerosis Risk in Communities Study, Cardiovascular Health Study, Framingham Heart Study, and the Rotterdam Study. The Health Aging and Body Composition Study, Multi-Ethnic Study of Atherosclerosis, and Coronary Artery Risk Development in Young Adults Study are now participating as well. With more than 53,000 participants, these cohort studies have both genome-wide data and repeated measures of risk factors, subclinical disease measures, and cardiovascular events all collected in a standardized fashion. The CHARGE collaboration, which takes advantage of the hundreds of millions of dollars already invested in these cohort studies, represents a major innovation in consortium structure because the organizing principle is the cohort study design rather than the phenotype. In just over a year and a half of collaboration, the CHARGE investigators have 21 papers published or in press, 14 papers under review, and about 50 other analyses or papers in progress. The CHARGE consortium represents an unfunded voluntary federation of large complex studies, one that lacks infra-structural support to sustain its increasingly complex operations. The two functions that none of the cohorts can offer in a sustained way are: 1) administrative Coordinating-Center-like support for working groups, committees, conference calls, meetings, tracking publications, and upgrades to the website and wiki;and 2) modest genotyping resources for follow-up and replication efforts often required by editors and reviewers. In the proposed R01, we plan to provide not only Coordinating-Center support and modest genotyping resources, but also support for students, fellows and junior investigators, including new opportunities for junior investigators from one site to spend time working at another site (exchanges). Junior investigators have often taken a leading role in CHARGE analyses and manuscripts with the result that the CHARGE consortium has become a kind of de facto international training ground for collaborative epidemiological efforts in the genetics of aging and cardiovascular disease. All CHARGE papers have junior investigators among the set of investigators identified as contributing equally as first authors. First-first authors of CHARGE meta-analysis papers have frequently been doctoral students (n=4), post-doctoral fellows (n=2), or junior investigators (n=5). Support for students and junior investigators and support for between-cohort exchanges will foster collaboration, enhance the current science, and improve the training of our future scientists.

Public Health Relevance

The proposed project will assist in the discovery of genetic variants associated with a variety of cardiovascular and aging conditions. The findings may lead to a new understanding about a disease processes, prevention and treatment.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
5R01HL105756-03
Application #
8402649
Study Section
Cardiovascular and Sleep Epidemiology (CASE)
Program Officer
Papanicolaou, George
Project Start
2011-02-15
Project End
2014-12-31
Budget Start
2013-01-01
Budget End
2014-12-31
Support Year
3
Fiscal Year
2013
Total Cost
$636,606
Indirect Cost
$93,820
Name
University of Washington
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
Chen, Han; Cade, Brian E; Gleason, Kevin J et al. (2018) Multiethnic Meta-Analysis Identifies RAI1 as a Possible Obstructive Sleep Apnea-related Quantitative Trait Locus in Men. Am J Respir Cell Mol Biol 58:391-401
Psaty, Bruce M; Dekkers, Olaf M; Cooper, Richard S (2018) Comparison of 2 Treatment Models: Precision Medicine and Preventive Medicine. JAMA 320:751-752
Xu, Jiayi; Bartz, Traci M; Chittoor, Geetha et al. (2018) Meta-analysis across Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium provides evidence for an association of serum vitamin D with pulmonary function. Br J Nutr 120:1159-1170
Lumley, Thomas; Brody, Jennifer; Peloso, Gina et al. (2018) FastSKAT: Sequence kernel association tests for very large sets of markers. Genet Epidemiol 42:516-527
Irvin, Marguerite R; Sitlani, Colleen M; Noordam, Raymond et al. (2018) Genome-wide meta-analysis of SNP-by9-ACEI/ARB and SNP-by-thiazide diuretic and effect on serum potassium in cohorts of European and African ancestry. Pharmacogenomics J :
Roostaei, Tina; Felsky, Daniel; Nazeri, Arash et al. (2018) Genetic influence of plasma homocysteine on Alzheimer's disease. Neurobiol Aging 62:243.e7-243.e14
Floyd, J S; Sitlani, C M; Avery, C L et al. (2018) Large-scale pharmacogenomic study of sulfonylureas and the QT, JT and QRS intervals: CHARGE Pharmacogenomics Working Group. Pharmacogenomics J 18:127-135
Kulminski, Alexander M; Huang, Jian; Loika, Yury et al. (2018) Strong impact of natural-selection-free heterogeneity in genetics of age-related phenotypes. Aging (Albany NY) 10:492-514
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
Sung, Yun J (see original citation for additional authors) (2018) A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure. Am J Hum Genet 102:375-400

Showing the most recent 10 out of 351 publications