Recently, consortia of genome-wide association studies (GWAS) have organized around specific phenotypes such as diabetes and cancer to identify associations with genetic variants. The Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium was formed to facilitate GWAS prospective meta- analyses of a wide range of phenotypes among large population-based cohort studies, now including the Age, Gene/Environment Susceptibility Study, Atherosclerosis Risk in Communities Study, Cardiovascular Health Study, Framingham Heart Study, the Rotterdam Study, the Health Aging and Body Composition Study, Multi- Ethnic Study of Atherosclerosis, Coronary Artery Risk Development in Young Adults Study, and the Jackson Heart Study. These cohort studies have repeated measures of risk factors, subclinical disease measures, and cardiovascular events all collected in a standardized fashion. This collaboration, which takes advantage of the hundreds of millions of dollars invested in these cohort studies, represents a unique resource for identifying genetic loci associated with a variety of cardiovascular and aging phenotypes. A voluntary federation of large complex studies, CHARGE represents a major innovation in GWAS-consortium structure because the organizing principle is the cohort study design rather than the phenotype. Since 2011, with funding from the CHARGE infrastructure grant (HL105756), the consortium has thrived. Using primarily GWAS data imputed to 2.5 million SNPs, CHARGE now has more than 270 publications, many in high impact journals. CHARGE cohorts have recently obtained or will soon obtain new genetic and omics data: 1) GWAS data on 58,600 imputed to the 1000 genomes reference panel of 36.8 million SNPs; 2) 200,000 rare variants from the ExomeChip on 53,900; 3) whole-exome sequence data on about 26,300; 4) whole-genome sequence data on 4,850; 5) methylation data on 9000; 6) gene expression data on10,300; 7) metabolomics data on 116,600; and 8) miRNA data on 6,000. The 40 CHARGE Working Groups will use these new data most effectively if there is continued support for the CHARGE infrastructure.
The aims of this competing renewal application are: 1) to provide coordinating-center-like administrative support for the CHARGE consortium, including conference calls, working groups, committees, and meetings; 2) to organize 2 major meetings per year; 3) to provide support for exchanges for students, fellows and junior faculty to spend time working at another site on a CHARGE project; 4) to provide modest genotyping resources for occasional replication efforts; and 5) to provide modest support to each cohort for participation in CHARGE. To accomplish these aims, the Collaborative Health Studies Coordinating Center (CHSCC) will provide administrative support and the laboratories of Drs Boerwinkle and Rotter will serve as the genotyping centers. Support for junior investigators with exchanges will foster collaboration, enhance the current science, and improve the training of our future scientists.

Public Health Relevance

The Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium has helped to accelerate the discovery of genetic variants associated with common diseases and risk factors. The proposed application will provide infrastructure support for the consortium, including for instance administrative support for day-to-day activities, the organization of two CHARGE-wide meetings per year, and support for CHARGE fellowships for young investigators to visit another site to advance a CHARGE project.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
5R01HL105756-05
Application #
9001355
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Papanicolaou, George
Project Start
2011-02-15
Project End
2018-03-31
Budget Start
2016-04-01
Budget End
2017-03-31
Support Year
5
Fiscal Year
2016
Total Cost
Indirect Cost
Name
University of Washington
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
Raghavan, Neha S; Brickman, Adam M; Andrews, Howard et al. (2018) Whole-exome sequencing in 20,197 persons for rare variants in Alzheimer's disease. Ann Clin Transl Neurol 5:832-842
Jian, Xueqiu; Satizabal, Claudia L; Smith, Albert V et al. (2018) Exome Chip Analysis Identifies Low-Frequency and Rare Variants in MRPL38 for White Matter Hyperintensities on Brain Magnetic Resonance Imaging. Stroke 49:1812-1819
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

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