Cohort members completed four clinic examinations, conducted three years apart between 1987 and 1998. Rotterdam Study: The GWA database of the Rotterdam Study was funded through the Netherlands Organisation of Scientific Research NWO (nr. International Validation of the Thrombolysis in Myocardial Infarction (TIMI) Risk Score for Secondary Prevention in Post-MI Patients: A Collaborative Analysis of the Chronic Kidney Disease Prognosis Consortium and the Risk Validation Scientific Committee. Using traditional authorship criteria (15), the CHARGE RSC encourages the designation of multiple co-equal first and last authors so that the authorship matches the scientific contributions of conducting and coordinating analyses from five complex studies. official website and that any information you provide is encrypted Unable to load your collection due to an error, Unable to load your delegates due to an error. For the purpose of replication, genotyping high-signal SNPs in independent samples provides additional evidence about the presence or absence of an association. University of Washington, Seattle, WA, USA. 2023 Apr;16(2):e003532. In late 2007, it became clear that because all cohorts shared both a common prospective population-based design and a large number of phenotypes assessed by similar data-collection methods (Table 2), a cohort-level collaboration would facilitate a series of prospectively planned joint meta-analyses. The search for longevity and healthy aging genes: insights from epidemiological studies and samples of long-lived individuals. The primary aim of genome-wide association studies is to identify novel genetic loci associated with interindividual variation in the levels of risk factors, the degree of subclinical disease, or the risk of clinical disease. The ratio of the observed dosage variance to the expected binomial variance, the dosage-variance ratio, has proved to be useful metric of imputation quality. Epub 2022 Sep 26. CHARGE has tried to acknowledge and reward the efforts of champions, who assume leadership responsibility for moving these large complex projects forward and who are often hard-working young investigators, the key to the future success of population science. Newman AB, Walter S, Lunetta KL, Garcia ME, Slagboom PE, Christensen K, Arnold AM, Aspelund T, Aulchenko YS, Benjamin EJ, Christiansen L, D'Agostino RB Sr, Fitzpatrick AL, Franceschini N, Glazer NL, Gudnason V, Hofman A, Kaplan R, Karasik D, Kelly-Hayes M, Kiel DP, Launer LJ, Marciante KD, Massaro JM, Miljkovic I, Nalls MA, Hernandez D, Psaty BM, Rivadeneira F, Rotter J, Seshadri S, Smith AV, Taylor KD, Tiemeier H, Uh HW, Uitterlinden AG, Vaupel JW, Walston J, Westendorp RG, Harris TB, Lumley T, van Duijn CM, Murabito JM. Methods and results. Nat Genet. Date range: 1 March 2022 - 28 February 2023. The authors had full access to and take full responsibility for the integrity of the data. Please enable it to take advantage of the complete set of features! A project level vcf (pVCF) summarizes variant calls (SNV and Indels) across the entire study such that every call that was ever made on a sample, is made available by the rest of the samples in the study. Circ Res. The Atherosclerosis Risk in Communities Study is carried out as a collaborative study supported by National Heart, Lung, and Blood Institute contracts N01-HC-55015, N01-HC-55016, N01-HC-55018, N01-HC-55019, N01-HC-55020, N01-HC-55021, N01-HC-55022 and R01HL087641; National Human Genome Research Institute contract U01HG004402; and National Institutes of Health contract HHSN268200625226C. Research Relationships Research Date range: 1 April 2021 - 31 March 2022 Research collaboration: Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium is a. J Gerontol A Biol Sci Med Sci. The Cohorts for Heart and Aging Research in Genomic Epidemiology - LWW Li Y, Abecasis GR. 2022 Nov 11;13:1000667. doi: 10.3389/fgene.2022.1000667. This Index looks at the encouraging signs that Japanese STEM is bouncing back, examining the policies and trends behind this success. The Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium and collaborating non-member studies or consortia provide an excellent framework for the identification of the genetic determinants of risk factors, subclinical-disease measures, and clinical events. National Library of Medicine Epub 2021 Mar 22. The decision to opt-in represents a commitment to collaborate only with the CHARGE working group for that particular analysis until the manuscript is accepted for publication. The organizational structure is simple and comprises a Research Steering Committee (RSC), an Analysis Committee, a Genotyping Committee, and approximately 20 phenotype-specific working groups. Framingham Heart Study: From the Framingham Heart Study of the National Heart Lung and Blood Institute of the National Institutes of Health and Boston University School of Medicine. Key follow-up efforts--resequencing high signal areas, fine mapping and functional studies--are likely to require new resources. The .gov means its official. For any phenotype, each cohort may work with other studies or consortia rather than CHARGE, and individual cohorts remain free to publish cohort-specific findings for any phenotype. Methods and Results In Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study, we performed targeted exonic sequencing of SCN5A (n=3699, European ancestry individuals) and identified 4 common (minor allele frequency >1%) and 157 rare variants. Price AL, Patterson NJ, Plenge RM, Weinblatt ME, Shadick NA, Reich D. Principal components analysis corrects for stratification in genome-wide association studies. Using samples of individuals of European ancestry from ten cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, both cross-sectional and prospective analyses were conducted to examine associations between genetic variants and myocardial infarction (MI), coronary heart disease (CHD), and all-cause . McPherson R, Pertsemlidis A, Kavaslar N, Stewart A, Roberts R, Cox DR, Hinds DA, Pennacchio LA, Hansen AT, Folsom AR, Boerwinkle E, Hobbs HH, Cohen JC. The goal was to provide a flexible plan that could be adapted or adopted by working groups. [Acute heart infarct: epidemiology and pre-hospitalization phase]. The design of the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium includes 5 prospective cohort studies from the United States and Europe: the Age, Gene/Environment SusceptibilityReykjavik Study, the Atherosclerosis Risk in Communities Study, the Cardiovascular Health Study, the Framingham Heart Study, and the Rotterdam . The main scientific work takes place in the phenotype-specific working groups, which have responsibility for developing and executing the scientific plans. sharing sensitive information, make sure youre on a federal Even with this number of events (Supplemental Figure 2), power is good for only for relatively high MAFs (> 0.25) and large relative risks (> 1.3). Genotypes for genome-wide single-nucleotide polymorphisms (SNPs) were imputed to approximately 2.5 million SNPs in HapMap and association with VTE assessed using study-design appropriate regression methods. Internist (Berl). doi: 10.1161/CIRCGENETICS.116.001643. The Cohorts for Heart and Aging Research in Genomic Epidemiology Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium: Design of prospective meta-analyses of genome-wide association studies from 5 cohorts. In practice, many of the CHARGE phenotype working groups have already engaged investigators from non-member studies as collaborators, including at least a dozen other studies from the US and Europe. Replicating genotype-phenotype associations. Free full text Circ Cardiovasc Genet. This work was supported by the National Heart, Lung and Blood Institutes Framingham Heart Study (Contract No. Additionally, we compared the association of serum 25(OH)D and pulmonary function across EA and AA groups and investigated effect modification by . The results from these cohort studies enable the specification of mechanisms for the development . The original cohort underwent 3 additional examinations. The PubMed wordmark and PubMed logo are registered trademarks of the U.S. Department of Health and Human Services (HHS). Devlin B. Genomic control for association studies. In addition to the traditional methods of conference calls and email, the CHARGE wiki, set up by Dr J Bis (Seattle, WA), has provided a crucial and highly functional user-driven website for calendars, minutes, guidelines, working group analysis plans, manuscript proposals, and other documents. Future studies are warranted to better characterize the associations with F11 and FGG and to replicate the new candidate associations. To identify additional genetic determinants of VTE, we conducted a two-stage genome-wide association study (GWAS) among individuals of European ancestry in the extended cohorts for heart and aging research in genomic epidemiology (CHARGE) VTE consortium. Would you like email updates of new search results? Careers, Unable to load your collection due to an error. Genetic loci associated with prevalent and incident myocardial infarction and coronary heart disease in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. For the first time, they track output in high-quality medical journals in addition to four natural-science categories. Besides collecting health status, behavioural and sociodemographic circumstances, the present study also gathers comprehensive data for the elderly by . Bethesda, MD 20894, Web Policies Modification to genome-wide association studies (GWAS) data access, Aug 28, 2008. The method does not require assumptions about a priori biologic involvement, is precise in its ability to localize genetic effects to relatively small regions of the genome, and can be extended to evaluate potential gene-environment interactions. Would you like email updates of new search results? Background Genetic determinants of stroke, the leading neurological cause of death and disability, are poorly understood and have seldom been explored in the general population. CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) Consortium Summary Results from Genomic Studies, Atherosclerosis Risk in Communities (ARIC) Study. Each cohort came to the consortium with their own traditions for methods of analysis, organization, and authorship policies that, while appropriate for their own work, were not always optimal for collaboration with multiple external groups. Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE A genome-wide association study for venous thromboembolism: the extended cohorts for heart and aging research in genomic epidemiology (CHARGE) consortium Genet Epidemiol. Ioannidis JP, Boffetta P, Little J, OBrien TR, Uitterlinden AG, Vineis P, Balding DJ, Chokkalingam A, Dolan SM, Flanders W, Higgins JPT, McCarthy M, McDermott DH, Page GP, Rebbeck TR, Seminara D, Khoury MJ. As part of its participation in the CHARGE Consortium, the BCM-HGSC utilized the DNAnexus platform to analyze the genomes of over 15,000 individuals, encompassing over 5,000 whole genomes and 15,000 whole exomes, using our Mercury pipeline. The number of SNPs and the number of independent individuals to be genotyped depend on the available resources and populations. Bethesda, MD 20894, Web Policies The Nature Index 2023 Annual Tables highlight the most prolific institutions and countries in high-quality research publishing for the year 2022. Venous thromboembolism (VTE) is a common, heritable disease resulting in high rates of hospitalization and mortality. CHS and ARIC are themselves multi-site studies. J Thromb Haemost. 1-3 Left atrial (LA) enlargement is an established marker for AF, but it is a late occurring and partially irreversible condition. With two exceptions, clinic examinations took place approximately every four years. Abbreviations: AGES, Age, Gene/Environment Susceptibility (AGES)--Reykjavik Study; ARIC, The Atherosclerosis Risk in Communities Study; CHS, The Cardiovascular Health Study; FHS, The Framingham Heart Study; RS, the Rotterdam Study; N = number. The Cohorts for Heart and Aging Research in Genomic Epidemiology Lead, Solutions Architect - Cloud Infrastructure, Manager, Research Operations - Genomic Medicine, Genetics of Adult Intellectual Disability Research Study, Texas Medical Center Genomic Center for Infectious Diseases (TMC GCID), Cohorts for Heart and Aging Research in Genomic Epidemiology, National Heart, Lung, and Blood Institute, Baylor researchers develop hybrid computational strategy for scalable whole genome data analysis, Oak Ridge National Laboratory press release, New Genomics Pipeline Combines AWS, Local HPC, and Supercomputing (HPCwire). 2023 Apr;29(4):950-962. doi: 10.1038/s41591-023-02268-w. Epub 2023 Apr 17. An official website of the United States government. The large number of statistical tests required in GWAS poses a special challenge because few studies that have DNA and high-quality phenotype data are sufficiently large to provide adequate statistical power for detecting small to modest effect sizes (6). Mok Y, Ballew SH, Bash LD, Bhatt DL, Boden WE, Bonaca MP, Carrero JJ, Coresh J, D'Agostino RB Sr, Elley CR, Fowkes FGR, Jee SH, Kovesdy CP, Mahaffey KW, Nadkarni G, Peterson ED, Sang Y, Matsushita K. J Am Heart Assoc. MeSH Even before the era of GWAS (7), the requirement for large sample sizes and the importance of replication have served as powerful incentives for collaboration. 2022 Oct 18;146(16):1225-1242. doi: 10.1161/CIRCULATIONAHA.122.059675. A full list of investigators from the CHARGE cohorts appears at: http://web.chargeconsortium.com. In the combined data from these two stages, additional genome-wide significant associations were observed on 4q35 at F11 (top SNP rs4253399, intronic to F11) and on 4q28 at FGG (rs6536024, 9.7 kb from FGG; P < 5.0 10(-13) for both). National Library of Medicine Epub 2014 Oct 9. 2020 Jun 5;126(12):1816-1840. doi: 10.1161/CIRCRESAHA.120.315893. 2023 Jun 3;17(1):47. doi: 10.1186/s40246-023-00498-0. Cross-Ancestry Investigation of Venous Thromboembolism Genomic Predictors. The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. Disclaimer. The ARIC Investigators. to institution outputs. 2023 Apr 28;9(17):eadd4984. Please enable it to take advantage of the complete set of features! All authors have read and agree to the manuscript as written. Before sharing results, working groups select a p-value threshold to identify a set of genotype-phenotype associations, almost all of which can be expected to replicate in similar populations. A Mendelian Randomization Analysis of Hemostatic Factors and their Disclaimer. When promising results from GWAS meta-analyses arise from SNPs that were imputed in some or all of the cohorts, genotyping the imputed markers in a sample of the existing cohort members serves to validate the imputation process. sharing sensitive information, make sure youre on a federal Authors Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE 2021 Dec;98(6):695-699. doi: 10.1007/s11524-021-00587-2. The site is secure. BCM Home | BCM Intranet | Privacy Notices | Contact BCM | HGSC Intranet, Baylor College of Medicine Human Genome Sequencing Center Within each cohort, the investigators had often formed working groups that divided up the large number of available phenotypes in ways that made sense locally but did not necessarily match the configuration that had been adopted by other cohorts. Duperron MG, Knol MJ, Le Grand Q, Evans TE, Mishra A, Tsuchida A, Roshchupkin G, Konuma T, Trgout DA, Romero JR, Frenzel S, Luciano M, Hofer E, Bourgey M, Dueker ND, Delgado P, Hilal S, Tankard RM, Dubost F, Shin J, Saba Y, Armstrong NJ, Bordes C, Bastin ME, Beiser A, Brodaty H, Blow R, Carrera C, Chen C, Cheng CY, Deary IJ, Gampawar PG, Himali JJ, Jiang J, Kawaguchi T, Li S, Macalli M, Marquis P, Morris Z, Muoz Maniega S, Miyamoto S, Okawa M, Paradise M, Parva P, Rundek T, Sargurupremraj M, Schilling S, Setoh K, Soukarieh O, Tabara Y, Teumer A, Thalamuthu A, Trollor JN, Valds Hernndez MC, Vernooij MW, Vlker U, Wittfeld K, Wong TY, Wright MJ, Zhang J, Zhao W, Zhu YC, Schmidt H, Sachdev PS, Wen W, Yoshida K, Joutel A, Satizabal CL, Sacco RL, Bourque G; CHARGE consortium; Lathrop M, Paus T, Fernandez-Cadenas I, Yang Q, Mazoyer B, Boutinaud P, Okada Y, Grabe HJ, Mather KA, Schmidt R, Joliot M, Ikram MA, Matsuda F, Tzourio C, Wardlaw JM, Seshadri S, Adams HHH, Debette S. Nat Med. Genome-wide analysis of mitochondrial DNA copy number reveals loci implicated in nucleotide metabolism, platelet activation, and megakaryocyte proliferation. For each manuscript, the working-group investigators establish pre-specified plans for analysis and timelines for participation. Purpose: The Chinese Longitudinal Healthy Longevity Survey Biomarkers Cohort (Healthy Ageing and Biomarkers Cohort Study (HABCS)) was established to investigate the determinants of healthy aging and mortality among the oldest old in China. Abbreviations: AGES, Age, Gene/Environment Susceptibility (AGES)--Reykjavik Study; ARIC, The Atherosclerosis Risk in Communities Study; CHS, The Cardiovascular Health Study; FHS, The Framingham Heart Study; RS, the Rotterdam Study; MI = myocardial infarction; TIA = transient ischemic attack; PVD = peripheral vascular disease; IMT = intimal medial thickness; MRI = magnetic resonance imaging; CT = computed tomography; A = assessed; MV = measures at multiple visits; SV = measures at single visit; and P = measured once on part of the cohort; ND = not done. When necessary, principal components analysis is used to correct for within-study population structure (21). Baseline data were collected between 1990 and 1993 (14). Although these studies are costly and time consuming, they are generally free of the survival and recall biases typically encountered in case-control studies. 1 Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, 2 Center for Health Studies, Group Health, Seattle, Washington, 3 National Heart, Lung and Blood Institute and the Framingham Heart Study, Framingham, Massachusetts, 4 Icelandic Heart Association and the Department of Cardiovascular Genetics, University of Iceland, Reykjavik, Iceland, 5 Department of Biostatistics, Boston University School of Public Health, Boston, MA, 6 Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, 7 Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, CA, 8 Department of Internal Medicine, Rotterdam, The Netherlands, 9 Department of Epidemiology, Rotterdam, The Netherlands, 10 Department of Erasmus Medical Center, Rotterdam, The Netherlands, 11 Laboratory of Epidemiology, Demography, and Biometry, Intramural Research Program, National Institute on Aging, Bethesda, MD, 12 Human Genetics Center and Division of Epidemiology, University of Texas, Houston, Texas. Snderby IE, Ching CRK, Thomopoulos SI, van der Meer D, Sun D, Villalon-Reina JE, Agartz I, Amunts K, Arango C, Armstrong NJ, Ayesa-Arriola R, Bakker G, Bassett AS, Boomsma DI, Blow R, Butcher NJ, Calhoun VD, Caspers S, Chow EWC, Cichon S, Ciufolini S, Craig MC, Crespo-Facorro B, Cunningham AC, Dale AM, Dazzan P, de Zubicaray GI, Djurovic S, Doherty JL, Donohoe G, Draganski B, Durdle CA, Ehrlich S, Emanuel BS, Espeseth T, Fisher SE, Ge T, Glahn DC, Grabe HJ, Gur RE, Gutman BA, Haavik J, Hberg AK, Hansen LA, Hashimoto R, Hibar DP, Holmes AJ, Hottenga JJ, Hulshoff Pol HE, Jalbrzikowski M, Knowles EEM, Kushan L, Linden DEJ, Liu J, Lundervold AJ, Martin-Brevet S, Martnez K, Mather KA, Mathias SR, McDonald-McGinn DM, McRae AF, Medland SE, Moberget T, Modenato C, Monereo Snchez J, Moreau CA, Mhleisen TW, Paus T, Pausova Z, Prieto C, Ragothaman A, Reinbold CS, Reis Marques T, Repetto GM, Reymond A, Roalf DR, Rodriguez-Herreros B, Rucker JJ, Sachdev PS, Schmitt JE, Schofield PR, Silva AI, Stefansson H, Stein DJ, Tamnes CK, Tordesillas-Gutirrez D, Ulfarsson MO, Vajdi A, van 't Ent D, van den Bree MBM, Vassos E, Vzquez-Bourgon J, Vila-Rodriguez F, Walters GB, Wen W, Westlye LT, Wittf. The principles are meant to encourage collaborating investigators to conduct their research in the spirit of collaboration and trust and with transparency regarding potentially sensitive issues about the use of shared data prior to publication. Clipboard, Search History, and several other advanced features are temporarily unavailable. Importance of Genetic Studies of Cardiometabolic Disease in Diverse Populations. Thibord F, Klarin D, Brody JA, Chen MH, Levin MG, Chasman DI, Goode EL, Hveem K, Teder-Laving M, Martinez-Perez A, Assi D, Daian-Bacq D, Ito K, Natarajan P, Lutsey PL, Nadkarni GN, de Vries PS, Cuellar-Partida G, Wolford BN, Pattee JW, Kooperberg C, Braekkan SK, Li-Gao R, Saut N, Sept C, Germain M, Judy RL, Wiggins KL, Ko D, O'Donnell CJ, Taylor KD, Giulianini F, De Andrade M, Nst TH, Boland A, Empana JP, Koyama S, Gilliland T, Do R, Huffman JE, Wang X, Zhou W, Manuel Soria J, Carlos Souto J, Pankratz N, Haessler J, Hindberg K, Rosendaal FR, Turman C, Olaso R, Kember RL, Bartz TM, Lynch JA, Heckbert SR, Armasu SM, Brumpton B, Smadja DM, Jouven X, Komuro I, Clapham KR, Loos RJF, Willer CJ, Sabater-Lleal M, Pankow JS, Reiner AP, Morelli VM, Ridker PM, Vlieg AVH, Deleuze JF, Kraft P, Rader DJ; Global Biobank Meta-Analysis Initiative; Estonian Biobank Research Team; 23andMe Research Team; Biobank Japan; CHARGE Hemostasis Working Group; Min Lee K, Psaty BM, Heidi Skogholt A, Emmerich J, Suchon P, Rich SS, Vy HMT, Tang W, Jackson RD, Hansen JB, Morange PE, Kabrhel C, Trgout DA, Damrauer SM, Johnson AD, Smith NL. Thrombogenesis-associated genetic determinants as predictors of thromboembolism and prognosis in cervical cancer. Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE Gordon A, Glazko G, Qiu X, Yakovlev Control of the mean number of false discoveries, Bonferroni and stability of multiple testing. Front Genet. Genetic components, such as variants of fatty acid desaturase (FADS) genes, determine the composition of n6 PUFAs. The CHS whole-genome study had as its primary aim, for instance, the analysis of data on three endpoints, coronary disease, stroke and heart failure. Would you like email updates of new search results? The Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium was formed to facilitate GWAS meta-analyses and replication opportunities among multiple large and well-phenotyped cohort studies. Patel KK, Venkatesan C, Abdelhalim H, Zeeshan S, Arima Y, Linna-Kuosmanen S, Ahmed Z. Hum Genomics. A major goal of the CHARGE Consortium is to collaboratively produce a series of jointly coordinated, high-impact publications that describes the collaborative results of genome-wide association scans (GWAS) for a number of cardiovascular, lung, blood and aging phenotypes. Meta-analyses combining summary data from multiple sources have improved the ability to detect new loci. Mach 1.0: rapid haplotype reconstruction and missing genotype inference. Methods-The Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium was formed to facilitate genome-wide association studies meta-analyses and replication opportunities among multiple large population-based cohort studies, which collect data in a standardized fashion and represent the preferred method for estimating disease . Ioannidis JPA, Nizani EE, Trikalinos TA, Contopoulos-Ioannidis DG. The analysis of 2.5 million SNPs across the genome poses an obvious multiple-testing problem. The original Reykjavik Study comprised a random sample of 30,795 men and women living in Reykjavik in 1967 and born between 1907 and 1935. Harris T, Launer L, Eiriksdottir G, Kjartansson O, Jonsson PV, Sigurdsson G, Thorgeirsson G, Aspelund T, Garcia MF, Hoffman HJ, Gudnason V. Age, Gene/Environment Susceptibility-Reykjavik Study: multidisciplinary applied phenomics. Epub 2023 Mar 24. Total SNPs = sum of successfully genotyped plus successfully imputed using the criteria in Table 3. The CHARGE consortium includes up to five independent replicate samples as well as additional collaborating studies for some phenotype working groups, so that it would have been possible to set up analysis plans within CHARGE to mimic the traditional two-stage design for replication. Identifying individuals at extreme risk of venous thromboembolism using polygenic risk scores. The effort to assemble and manage the CHARGE consortium has provided some interesting and unanticipated challenges. Bethesda, MD 20894, Web Policies For instance, the two largest cohorts could have served as the discovery set and the others as the replication set. 33 Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, . N02-HL-6-4278), and by grants from the National Institute of Neurological Disorders and Stroke (NS17950; PAW) and the National Institute of Aging, (AG08122, AG16495; PAW). An official website of the United States government. In 1971, a second generation of study participants, 5124 children and spouses of children of the original cohort were enrolled (12). Authors Bruce M Psaty 1 , Colleen Sitlani Affiliation The Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium is an international organization founded to facilitate genome-wide association study meta-analyses and replication opportunities among multiple large and well-phenotyped longitudinal cohort studies. Clipboard, Search History, and several other advanced features are temporarily unavailable. collaboration whose article contributions are accrued to its participating partner 2019 Aug 20;140(8):645-657. doi: 10.1161/CIRCULATIONAHA.118.039357. 2009 Jul;7 Suppl 1:308-11. doi: 10.1111/j.1538-7836.2009.03392.x. government site. HHS Vulnerability Disclosure, Help The large number of statistical tests required in GWAS has posed a special challenge because few studies that have DNA and high-quality phenotype data are sufficiently large to provide adequate statistical power for detecting small to modest effect sizes. In this way, we are able to report even reference homozygous calls with the same definition of read depths used in calculating variant calls. Given the gaps in our current knowledge of genetic determinants of n6 PUFA composition, we performed a large-scale meta-analysis of GWAS from 5 participating cohorts in the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium 23 to identify common genetic variants associated with plasma n6 fatty acid phenotypes, including LA . Genome-wide association study of plasma N6 polyunsaturated - PubMed Medicine (Baltimore). What does it need, beyond money, to achieve success? Genome-wide association study of 14,000 cases of seven common diseases and 3000 shared controls. Health Data for New York City Overview: Advancing Health Equity through Policy-Relevant Collaborative Research. International Committee of Medical Journal Editors. Genetic model testing and statistical power in population-based association studies of quantitative traits. 175.010.2005.011). BMC Public Health. Manco L, Silva C, Fidalgo T, Martinho P, Sarmento AB, Ribeiro ML. Genetic loci associated with prevalent and incident myocardial Can Japanese science compete with regional rivals such as China and South Korea? Genome-wide association analyses identified novel susceptibility loci for pulmonary embolism among Han Chinese population. Generalized estimating equations for genome-wide association studies using longitudinal phenotype data. Epub 2023 Apr 26. FOIA Abbreviations: AGES, Age, Gene/Environment Susceptibility (AGES)--Reykjavik Study; ARIC, The Atherosclerosis Risk in Communities Study; CHS, The Cardiovascular Health Study; FHS, The Framingham Heart Study; RS, the Rotterdam Study; MAF, minor allele frequency; HWE, Hardy-Weinberg equilibrium. Meta-analysis across Cohorts for Heart and Aging Research in Genomic
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