Consortia of genome-wide association studies (GWAS) have often organized around specific phenotypes such as diabetes and breast cancer to discover associations with genetic variants. The Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium was instead formed from large- population-based cohort studies to facilitate prospectively-planned GWAS meta-analyses of a wide range of phenotypes. Expanded from the original 5 studies to 10, CHARGE cohorts have repeated measures of risk factors, subclinical disease measures, and cardiovascular events, all collected in a standardized fashion. Their collaboration represents a unique resource for identifying genetic loci associated with a variety of cardiovascular and aging phenotypes. Since 2011, with funding from the CHARGE infrastructure grant (HL105756), the consortium has thrived. Using GWAS and rare-variant data, CHARGE publications now number more than 643, many in high impact journals. With funding from the NHLBI, NHGRI, and the NIA, many of the CHARGE cohorts have recently obtained new genetic and omics data: 1) whole-genome sequence (WGS) data on 39,819 subjects; 2) whole-exome sequence (WES) data on 28,346; 3) methylation data on 16,083; 4) gene expression data on 12,133; 5) metabolomics data on 25,521; and 6) aptamer-based proteomics data on 11,306. CHARGE and its 40 active Working Groups, which collaborate and coordinate with NIH programs such as the NHLBI's Trans-Omics for Precision Medicine, are well positioned to accommodate all three new directions in genetic epidemiology?large-scale collaborations, genomic sequence data, and other omics data. New to this application are the CHARGE dbGaP Summary Results Website for public posting of summary results, the Analysis Commons for pooled analyses of sequence data and omics data, and the Mendelian Randomization Committee for analytic support with these innovative methods. The goals of this competing renewal application are to accelerate discovery of mechanisms underlying diseases of the cardiovascular system through robust analysis of genomic data and to identify the functional significance of the discovered variants through integration of multiple forms of large scale omics data.
The aims of this competing renewal application are: 1) to provide coordinating center-like administrative support for conference calls, working groups, committees, and meetings; 2) to organize two major in-person meetings per year; 3) to provide travel awards for new investigators who submit the best abstracts for presentations or posters at the CHARGE meetings; 4) to provide support for fellowship exchanges for students, fellows and junior faculty to spend time working at another site on a CHARGE project; and 5) to provide modest support for cohort participation. The consortium promotes widespread collaboration. For junior investigators, the fellowship exchanges and travel awards also 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 fellowship and travel support for young investigators.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
5R01HL105756-09
Application #
9977252
Study Section
Cancer, Heart, and Sleep Epidemiology A Study Section (CHSA)
Program Officer
Papanicolaou, George
Project Start
2011-02-15
Project End
2022-06-30
Budget Start
2020-07-01
Budget End
2021-06-30
Support Year
9
Fiscal Year
2020
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
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Suri, Pradeep; Palmer, Melody R; Tsepilov, Yakov A et al. (2018) Genome-wide meta-analysis of 158,000 individuals of European ancestry identifies three loci associated with chronic back pain. PLoS Genet 14:e1007601
Choi, Seung Hoan; Weng, Lu-Chen; Roselli, Carolina et al. (2018) Association Between Titin Loss-of-Function Variants and Early-Onset Atrial Fibrillation. JAMA 320:2354-2364
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
Wyss, Annah B; Sofer, Tamar; Lee, Mi Kyeong et al. (2018) Multiethnic meta-analysis identifies ancestry-specific and cross-ancestry loci for pulmonary function. Nat Commun 9:2976
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

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