Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium: Design of prospective meta-analyses of genome-wide association studies from 5 cohorts.
paper
Cited
Public
- Authors
- Psaty, Bruce M; O'Donnell, Christopher J; Gudnason, Vilmundur; Lunetta, Kathryn L; Folsom, Aaron R; Rotter, Jerome I; Uitterlinden, AndrΓ© G; Harris, Tamara B; Witteman, Jacqueline C M; Boerwinkle, Eric; CHARGE Consortium
- Year
- 2009
- Journal
- Circulation. Cardiovascular genetics
- PMID
- 20031568
- DOI
- 10.1161/CIRCGENETICS.108.829747
- PMCID
- PMC2875693
BACKGROUND: 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 requirement for large sample sizes and the importance of replication have served as powerful incentives for scientific collaboration. 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 incidence. 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 Susceptibility-Reykjavik Study, the Atherosclerosis Risk in Communities Study, the Cardiovascular Health Study, the Framingham Heart Study, and the Rotterdam Study. With genome-wide data on a total of about 38 000 individuals, these cohort studies have a large number of health-related phenotypes measured in similar ways. For each harmonized trait, within-cohort genome-wide association study analyses are combined by meta-analysis. A prospective meta-analysis of data from all 5 cohorts, with a properly selected level of genome-wide statistical significance, is a powerful approach to finding genuine phenotypic associations with novel genetic loci. CONCLUSIONS: 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.
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| Harmonization of Respiratory Data From 9 US Population-Based Cohorts: The NHLBI Pooled Cohorts Study. | Oelsner EC et al. | β | 2018 | β |
| Identification of a novel RPGRIP1 mutation in an Iranian family with leber congenital amaurosis by exome sequencing. | Imani S et al. | β | 2018 | β |
| Integrated molecular analysis of Tamoxifen-resistant invasive lobular breast cancer cells identifies MAPK and GRM/mGluR signaling as therapeutic vulnerabilities. | Stires H et al. | β | 2018 | β |
| Integration of Drosophila and Human Genetics to Understand Notch Signaling Related Diseases. | Salazar JL et al. | β | 2018 | β |
| Large-Scale Genomic Biobanks and Cardiovascular Disease. | Small AM et al. | β | 2018 | β |
| Large-scale pharmacogenomic study of sulfonylureas and the QT, JT and QRS intervals: CHARGE Pharmacogenomics Working Group. | Floyd JS et al. | β | 2018 | β |
| Lp-PLA2, scavenger receptor class B type I gene (SCARB1) rs10846744 variant, and cardiovascular disease. | Manichaikul A et al. | β | 2018 | β |
| Neurogenomics - towards a more rigorous science. | Mitchell KJ | β | 2018 | β |
| Nutritional Genomics and Direct-to-Consumer Genetic Testing: An Overview. | Guasch-FerrΓ© M et al. | β | 2018 | β |
| Observational and Genetic Associations of Resting Heart Rate With Aortic Valve Calcium. | Whelton SP et al. | β | 2018 | β |
| Opportunities for an enhanced integration of neuroscience and genomics. | Moore AA et al. | β | 2018 | β |
| Pharmacogenomics study of thiazide diuretics and QT interval in multi-ethnic populations: the cohorts for heart and aging research in genomic epidemiology. | Seyerle AA et al. | β | 2018 | β |
| Scientific Contributions of Population-Based Studies to Cardiovascular Epidemiology in the GWAS Era. | Lieb W et al. | β | 2018 | β |
| The genetics of retinopathy of prematurity: a model for neovascular retinal disease. | Swan R et al. | β | 2018 | β |
| Three Decades of Dementia Research: Insights from One Small Community ofΒ Indomitable Rotterdammers. | Wolters FJ et al. | β | 2018 | β |
| 11,670 whole-genome sequences representative of the Han Chinese population from the CONVERGE project. | Cai N et al. | β | 2017 | β |
| A genome-wide interaction analysis of tricyclic/tetracyclic antidepressants and RR and QT intervals: a pharmacogenomics study from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium. | Noordam R et al. | β | 2017 | β |
| Analysis commons, a team approach to discovery in a big-data environment for genetic epidemiology. | Brody JA et al. | β | 2017 | β |
| Association between Dietary Xanthophyll (Lutein and Zeaxanthin) Intake and Early Age-Related Macular Degeneration: The Atherosclerosis Risk in Communities Study. | Lin H et al. | β | 2017 | β |
| Association of Triglyceride-Related Genetic Variants With MitralΒ AnnularΒ Calcification. | Afshar M et al. | β | 2017 | β |
| Brain imaging genetics in ADHD and beyond - Mapping pathways from gene to disorder at different levels of complexity. | Klein M et al. | β | 2017 | β |
| Building on a Legacy of Hypertension Research: Charting Our Future Together. | Mensah GA et al. | β | 2017 | β |
| Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases. | McAllister K et al. | β | 2017 | β |
| DNA Methylation Analysis Identifies Loci for Blood Pressure Regulation. | Richard MA et al. | β | 2017 | β |
| Effect of handgrip on coronary artery disease and myocardial infarction: a Mendelian randomization study. | Xu L et al. | β | 2017 | β |
| Evidence for large-scale gene-by-smoking interaction effects on pulmonary function. | Aschard H et al. | β | 2017 | β |
| Extremely low-coverage whole genome sequencing in South Asians captures population genomics information. | Rustagi N et al. | β | 2017 | β |
| Four Decades of Research in Alzheimer's Disease (1975-2014): A Bibliometric and Scientometric Analysis. | Serrano-Pozo A et al. | β | 2017 | β |
| Genetically defined elevated homocysteine levels do not result in widespread changes of DNA methylation in leukocytes. | Mandaviya PR et al. | β | 2017 | β |
| Genetic studies as a tool for identifying novel potential targets for treatment ofΒ COPD. | Manichaikul A et al. | β | 2017 | β |
| Genome-Wide Interaction Study of Omega-3 PUFAs and Other Fatty Acids on Inflammatory Biomarkers of Cardiovascular Health in the Framingham Heart Study. | Veenstra J et al. | β | 2017 | β |
| <i>CEP78</i> is mutated in a distinct type of Usher syndrome. | Fu Q et al. | β | 2017 | β |
| Leveraging splice-affecting variant predictors and a minigene validation system to identify Mendelian disease-causing variants among exon-captured variants of uncertain significance. | Soens ZT et al. | β | 2017 | β |
| Local Ancestry and Clinical Cardiovascular Events Among African Americans From the Atherosclerosis Risk in Communities Study. | Shendre A et al. | β | 2017 | β |
| <i>PCSK9</i> Loss-of-Function Variants, Low-Density Lipoprotein Cholesterol, and Risk of Coronary Heart Disease and Stroke: Data From 9 Studies of Blacks and Whites. | Kent ST et al. | β | 2017 | β |
| Molecular Epidemiology of Heart Failure: Translational Challenges and Opportunities. | Smith JG | β | 2017 | β |
| Multiancestry Study of Gene-Lifestyle Interactions for Cardiovascular Traits in 610 475 Individuals From 124 Cohorts: Design and Rationale. | Rao DC et al. | β | 2017 | β |
| Mutations in the Spliceosome Component CWC27 Cause Retinal Degeneration with or without Additional Developmental Anomalies. | Xu M et al. | β | 2017 | β |
| Neuroimaging genomics in psychiatry-a translational approach. | Mufford MS et al. | β | 2017 | β |
| On meta- and mega-analyses for gene-environment interactions. | Huang J et al. | β | 2017 | β |
| Rheumatoid Arthritis and Coronary Artery Disease: Genetic Analyses Do Not Support a Causal Relation. | Jansen H et al. | β | 2017 | β |
| STROKOG (stroke and cognition consortium): An international consortium to examine the epidemiology, diagnosis, and treatment of neurocognitive disorders in relation to cerebrovascular disease. | Sachdev PS et al. | β | 2017 | β |
| Studying neuroanatomy using MRI. | Lerch JP et al. | β | 2017 | β |
| Taller height as a risk factor for venous thromboembolism: a Mendelian randomization meta-analysis. | Roetker NS et al. | β | 2017 | β |
| The impact of rare and low-frequency genetic variants in common disease. | Bomba L et al. | β | 2017 | β |
| The integration of epigenetics and genetics in nutrition research for CVD risk factors. | Ma Y et al. | β | 2017 | β |
| The phenotypic variability of HK1-associated retinal dystrophy. | Yuan Z et al. | β | 2017 | β |
| The Rotterdam Study: 2018 update on objectives, design and main results. | Ikram MA et al. | β | 2017 | β |
| Variation in a range of mTOR-related genes associates with intracranial volume and intellectual disability. | Reijnders MRF et al. | β | 2017 | β |
| Vitamin D Status and Prevalent Early Age-Related Macular Degeneration in African Americans and Caucasians: The Atherosclerosis Risk in Communities (ARIC) Study. | Millen AE et al. | β | 2017 | β |
| Whole exome sequencing in the Framingham Heart Study identifies rare variation in HYAL2 that influences platelet aggregation. | Eicher JD et al. | β | 2017 | β |
| A hybrid computational strategy to address WGS variant analysis in >5000 samples. | Huang Z et al. | β | 2016 | β |
| A meta-analysis of 120 246 individuals identifies 18 new loci for fibrinogen concentration. | de Vries PS et al. | β | 2016 | β |
| An Empirical Comparison of Joint and Stratified Frameworks for Studying G Γ E Interactions: Systolic Blood Pressure and Smoking in the CHARGE Gene-Lifestyle Interactions Working Group. | Sung YJ et al. | β | 2016 | β |
| Association of the IGF1 gene with fasting insulin levels. | Willems SM et al. | β | 2016 | β |
| Building a Platform to Enable NCD Research to Address Population Health in Africa: CVD Working Group Discussion at the Sixth H3Africa Consortium Meeting in Zambia. | Peprah E et al. | β | 2016 | β |
| Contributions of the Framingham Heart Study to the Epidemiology of Coronary Heart Disease. | Chen G et al. | β | 2016 | β |
| Diagnostic Yield and Clinical Utility of Sequencing Familial Hypercholesterolemia Genes in Patients With Severe Hypercholesterolemia. | Khera AV et al. | β | 2016 | β |
| Discovery of Genetic Variation on Chromosome 5q22 Associated with Mortality in Heart Failure. | Smith JG et al. | β | 2016 | β |
| Discovery of rare variants for complex phenotypes. | Kosmicki JA et al. | β | 2016 | β |
| DNA methylation signatures of chronic low-grade inflammation are associated with complex diseases. | Ligthart S et al. | β | 2016 | β |
| Fast set-based association analysis using summary data from GWAS identifies novel gene loci for human complex traits. | Bakshi A et al. | β | 2016 | β |
| Genetic loci associated with ideal cardiovascular health: A meta-analysis of genome-wide association studies. | Allen NB et al. | β | 2016 | β |
| Genetic Risk Factors for Ischemic and Hemorrhagic Stroke. | Chauhan G et al. | β | 2016 | β |
| Gene transcripts associated with muscle strength: a CHARGE meta-analysis of 7,781 persons. | Pilling LC et al. | β | 2016 | β |
| Genome-wide association studies identify genetic loci for low von Willebrand factor levels. | van Loon J et al. | β | 2016 | β |
| Genome-Wide Association Study for Incident Myocardial Infarction and Coronary Heart Disease in Prospective Cohort Studies: The CHARGE Consortium. | Dehghan A et al. | β | 2016 | β |
| Genome-wide gene-environment interactions on quantitative traits using family data. | Sitlani CM et al. | β | 2016 | β |
| GWAS for executive function and processing speed suggests involvement of the CADM2 gene. | Ibrahim-Verbaas CA et al. | β | 2016 | β |
| ICC-dementia (International Centenarian Consortium - dementia): an international consortium to determine the prevalence and incidence of dementia in centenarians across diverse ethnoracial and sociocultural groups. | Brodaty H et al. | β | 2016 | β |
| Identifying genetic loci affecting antidepressant drug response in depression using drug-gene interaction models. | Noordam R et al. | β | 2016 | β |
| Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets. | Zhu Z et al. | β | 2016 | β |
| Mendelian Randomization Studies Do Not Support a Role for Vitamin D in Coronary Artery Disease. | Manousaki D et al. | β | 2016 | β |
| Meta-analysis of rare and common exome chip variants identifies S1PR4 and other loci influencing blood cell traits. | CHARGE Consortium Hematology Working Group | β | 2016 | β |
| Million Veteran Program: A mega-biobank to study genetic influences on health and disease. | Gaziano JM et al. | β | 2016 | β |
| Multiethnic Exome-Wide Association Study of Subclinical Atherosclerosis. | Natarajan P et al. | β | 2016 | β |
| Multivariate Analysis of Anthropometric Traits Using Summary Statistics of Genome-Wide Association Studies from GIANT Consortium. | Park H et al. | β | 2016 | β |
| Mutations in Citron Kinase Cause Recessive Microlissencephaly with Multinucleated Neurons. | Harding BN et al. | β | 2016 | β |
| Next-generation sequencing-based molecular diagnosis of 12 inherited retinal disease probands of Uyghur ethnicity. | Tajiguli A et al. | β | 2016 | β |
| Next-generation sequencing-based molecular diagnosis of 35 Hispanic retinitis pigmentosa probands. | Zhang Q et al. | β | 2016 | β |
| Novel Genetic Loci Associated With Retinal Microvascular Diameter. | Jensen RA et al. | β | 2016 | β |
| Novel genetic loci underlying human intracranial volume identified through genome-wide association. | Adams HH et al. | β | 2016 | β |
| Perioperative genomics: coming soon to (operating) theatres near you. | Sigurdsson MI et al. | β | 2016 | β |
| Rapid evaluation of phenotypes, SNPs and results through the dbGaP CHARGE Summary Results site. | Rich SS et al. | β | 2016 | β |
| Rare coding TTN variants are associated with electrocardiographic QT interval in the general population. | Kapoor A et al. | β | 2016 | β |
| Rare Exome Sequence Variants in CLCN6 Reduce Blood Pressure Levels and Hypertension Risk. | Yu B et al. | β | 2016 | β |
| Rare Functional Variant in TM2D3 is Associated with Late-Onset Alzheimer's Disease. | Jakobsdottir J et al. | β | 2016 | β |
| Reveel: large-scale population genotyping using low-coverage sequencing data. | Huang L et al. | β | 2016 | β |
| Serum calcium and incident type 2 diabetes: the Atherosclerosis Risk in Communities (ARIC) study. | Rooney MR et al. | β | 2016 | β |
| Somatic, positive and negative domains of the Center for Epidemiological Studies Depression (CES-D) scale: a meta-analysis of genome-wide association studies. | Demirkan A et al. | β | 2016 | β |
| Targeted sequencing of genome wide significant loci associated with bone mineral density (BMD) reveals significant novel and rare variants: the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) targeted sequencing study. | Hsu YH et al. | β | 2016 | β |
| The Application of Genomics in Diabetes: Barriers to Discovery and Implementation. | Floyd JS et al. | β | 2016 | β |
| The effect of hematocrit and hemoglobin on the risk of ischemic heart disease: A Mendelian randomization study. | Zhong Y et al. | β | 2016 | β |
| Uromodulin gene variants and their association with renal function and blood pressure in cats: a pilot study. | Jepson RE et al. | β | 2016 | β |
| Whole Exome Sequencing in Atrial Fibrillation. | Lubitz SA et al. | β | 2016 | β |
| Ο-3 Polyunsaturated Fatty Acid Biomarkers and Coronary Heart Disease: Pooling Project of 19 Cohort Studies. | Del Gobbo LC et al. | β | 2016 | β |
| A genome-wide association study of saturated, mono- and polyunsaturated red blood cell fatty acids in the Framingham Heart Offspring Study. | Tintle NL et al. | β | 2015 | β |
| A review of study designs and statistical methods for genomic epidemiology studies using next generation sequencing. | Wang Q et al. | β | 2015 | β |
| Circadian clock genes and risk of fatal prostate cancer. | Markt SC et al. | β | 2015 | β |
| Coagulation factorΒ XII genetic variation, exΒ vivo thrombin generation, and stroke risk in the elderly: results from the Cardiovascular Health Study. | Olson NC et al. | β | 2015 | β |
| Consumption of meat is associated with higher fasting glucose and insulin concentrations regardless of glucose and insulin genetic risk scores: a meta-analysis of 50,345 Caucasians. | Fretts AM et al. | β | 2015 | β |
| Dietary Patterns, Genes, and Health: Challenges and Obstacles to be Overcome. | Frazier-Wood AC | β | 2015 | β |
| Drug-Gene Interactions of Antihypertensive Medications and Risk of Incident Cardiovascular Disease: A Pharmacogenomics Study from the CHARGE Consortium. | Bis JC et al. | β | 2015 | β |
| Generalized estimating equations for genome-wide association studies using longitudinal phenotype data. | Sitlani CM et al. | β | 2015 | β |
| Genetic analyses benefit from using less heterogeneous phenotypes: an illustration with the hospital anxiety and depression scale (HADS). | Laurin CA et al. | β | 2015 | β |
| Genetic loci associated with circulating phospholipid trans fatty acids: a meta-analysis of genome-wide association studies from the CHARGE Consortium. | Mozaffarian D et al. | β | 2015 | β |
| Genetics and brain morphology. | Strike LT et al. | β | 2015 | β |
| Genetic variants primarily associated with type 2 diabetes are related to coronary artery disease risk. | Jansen H et al. | β | 2015 | β |
| Genome-wide association study for endothelial growth factors. | Lieb W et al. | β | 2015 | β |
| GWAS of longevity in CHARGE consortium confirms APOE and FOXO3 candidacy. | Broer L et al. | β | 2015 | β |
| Imaging genetics and psychiatric disorders. | Hashimoto R et al. | β | 2015 | β |
| Invited commentary: future of population studies--defining research priorities and processes. | Vasan RS et al. | β | 2015 | β |
| Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility. | Wessel J et al. | β | 2015 | β |
| Novel loci associated with usual sleep duration: the CHARGE Consortium Genome-Wide Association Study. | Gottlieb DJ et al. | β | 2015 | β |
| Population genomic analysis of 962 whole genome sequences of humans reveals natural selection in non-coding regions. | Yu F et al. | β | 2015 | β |
| Rare and low-frequency variants and their association with plasma levels of fibrinogen, FVII, FVIII, and vWF. | Huffman JE et al. | β | 2015 | β |
| Recent developments in genome and exome-wide analyses of plasma lipids. | Lange LA et al. | β | 2015 | β |
| The role of rare variants in systolic blood pressure: analysis of ExomeChip data in HyperGEN African Americans. | Sung YJ et al. | β | 2015 | β |
| The Rotterdam Study: 2016 objectives and design update. | Hofman A et al. | β | 2015 | β |
| Use of electronic health records to ascertain, validate and phenotype acute myocardial infarction: A systematic review and recommendations. | Rubbo B et al. | β | 2015 | β |
| White Matter Lesion Progression: Genome-Wide Search for Genetic Influences. | Hofer E et al. | β | 2015 | β |
| ADAM19 and HTR4 variants and pulmonary function: Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study. | London SJ et al. | β | 2014 | β |
| A genome-wide association meta-analysis of plasma AΞ² peptides concentrations in the elderly. | Chouraki V et al. | β | 2014 | β |
| Aging and cardiovascular diseases: the role of gene-diet interactions. | Corella D et al. | β | 2014 | β |
| An empirical comparison of meta-analysis and mega-analysis of individual participant data for identifying gene-environment interactions. | Sung YJ et al. | β | 2014 | β |
| Association of CDKN2BAS polymorphism rs4977574 with coronary heart disease: a case-control study and a meta-analysis. | Huang Y et al. | β | 2014 | β |
| Association of levels of fasting glucose and insulin with rare variants at the chromosome 11p11.2-MADD locus: Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study. | Cornes BK et al. | β | 2014 | β |
| Association of low-density lipoprotein cholesterol-related genetic variants with aortic valve calcium and incident aortic stenosis. | Smith JG et al. | β | 2014 | β |
| Association of low-frequency and rare coding-sequence variants with blood lipids and coronary heart disease in 56,000 whites and blacks. | Peloso GM et al. | β | 2014 | β |
| Associations of NINJ2 sequence variants with incident ischemic stroke in the Cohorts for Heart and Aging in Genomic Epidemiology (CHARGE) consortium. | Bis JC et al. | β | 2014 | β |
| A three-stage genome-wide association study combining multilocus test and gene expression analysis for young-onset hypertension in Taiwan Han Chinese. | Chiang KM et al. | β | 2014 | β |
| Biobanks for cardiovascular epidemiology and prevention. | Iacoviello L et al. | β | 2014 | β |
| Calibrating longitudinal cognition in Alzheimer's disease across diverse test batteries and datasets. | Gross AL et al. | β | 2014 | β |
| Challenges in elucidating the genetics of diabetic retinopathy. | Kuo JZ et al. | β | 2014 | β |
| Common variation in fatty acid metabolic genes and risk of incident sudden cardiac arrest. | Lemaitre RN et al. | β | 2014 | β |
| Dementia Prevention: optimizing the use of observational data for personal, clinical, and public health decision-making. | Dacks PA et al. | β | 2014 | β |
| Drug-gene interactions and the search for missing heritability: a cross-sectional pharmacogenomics study of the QT interval. | Avery CL et al. | β | 2014 | β |
| Effects of long-term averaging of quantitative blood pressure traits on the detection of genetic associations. | Ganesh SK et al. | β | 2014 | β |
| Following-up genome-wide association study signals: lessons learned from Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study. | Boerwinkle E et al. | β | 2014 | β |
| Genetic determinants influencing human serum metabolome among African Americans. | Yu B et al. | β | 2014 | β |
| Genetic determinants of age-related macular degeneration in diverse populations from the PAGE study. | Restrepo NA et al. | β | 2014 | β |
| Genetic variants related to height and risk of atrial fibrillation: the cardiovascular health study. | Rosenberg MA et al. | β | 2014 | β |
| Genome-wide association studies on serum sex steroid levels. | Vandenput L et al. | β | 2014 | β |
| Genome-wide association study of plasma N6 polyunsaturated fatty acids within the cohorts for heart and aging research in genomic epidemiology consortium. | Guan W et al. | β | 2014 | β |
| Heritability of and mortality prediction with a longevity phenotype: the healthy aging index. | Sanders JL et al. | β | 2014 | β |
| Illumina human exome genotyping array clustering and quality control. | Guo Y et al. | β | 2014 | β |
| In silico tools for splicing defect prediction: a survey from the viewpoint of end users. | Jian X et al. | β | 2014 | β |
| Integrated genomics and metabolomics in nephrology. | Atzler D et al. | β | 2014 | β |
| Integrative DNA, RNA, and protein evidence connects TREML4 to coronary artery calcification. | Sen SK et al. | β | 2014 | β |
| Large-scale meta-analysis of genome-wide association data identifies six new risk loci for Parkinson's disease. | Nalls MA et al. | β | 2014 | β |
| Multilocus genetic risk score associates with ischemic stroke in case-control and prospective cohort studies. | Malik R et al. | β | 2014 | β |
| No evidence for genome-wide interactions on plasma fibrinogen by smoking, alcohol consumption and body mass index: results from meta-analyses of 80,607 subjects. | Baumert J et al. | β | 2014 | β |
| Novel risk loci for rheumatoid arthritis in Han Chinese and congruence with risk variants in Europeans. | Jiang L et al. | β | 2014 | β |
| Personalized nutrition and cardiovascular disease prevention: From Framingham to PREDIMED. | Konstantinidou V et al. | β | 2014 | β |
| Predicting stroke through genetic risk functions: the CHARGE Risk Score Project. | Ibrahim-Verbaas CA et al. | β | 2014 | β |
| Sequence analysis of six blood pressure candidate regions in 4,178 individuals: the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) targeted sequencing study. | Morrison AC et al. | β | 2014 | β |
| Sequence variation in TMEM18 in association with body mass index: Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study. | Liu CT et al. | β | 2014 | β |
| Sequencing of 2 subclinical atherosclerosis candidate regions in 3669 individuals: Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study. | Bis JC et al. | β | 2014 | β |
| Strategies to design and analyze targeted sequencing data: cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study. | Lin H et al. | β | 2014 | β |
| Targeted sequencing in candidate genes for atrial fibrillation: the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Targeted Sequencing Study. | Lin H et al. | β | 2014 | β |
| The emerging era of pharmacogenomics: current successes, future potential, and challenges. | Lee JW et al. | β | 2014 | β |
| The role of environmental heterogeneity in meta-analysis of gene-environment interactions with quantitative traits. | Li S et al. | β | 2014 | β |
| Variant association tools for quality control and analysis of large-scale sequence and genotyping array data. | Wang GT et al. | β | 2014 | β |
| Whole-genome analyses of whole-brain data: working within an expanded search space. | Medland SE et al. | β | 2014 | β |
| A genome-wide association study of depressive symptoms. | Hek K et al. | β | 2013 | β |
| Association of heat shock proteins with all-cause mortality. | Broer L et al. | β | 2013 | β |
| Best practices and joint calling of the HumanExome BeadChip: the CHARGE Consortium. | Grove ML et al. | β | 2013 | β |
| Candidate gene association study of BMI-related loci, weight, and adiposity in old age. | Murphy RA et al. | β | 2013 | β |
| De novo truncating mutations in ASXL3 are associated with a novel clinical phenotype with similarities to Bohring-Opitz syndrome. | Bainbridge MN et al. | β | 2013 | β |
| Development and evaluation of a genetic risk score for obesity. | Belsky DW et al. | β | 2013 | β |
| Estimation and partition of heritability in human populations using whole-genome analysis methods. | Vinkhuyzen AA et al. | β | 2013 | β |
| Gain-of-function lipoprotein lipase variant rs13702 modulates lipid traits through disruption of a microRNA-410 seed site. | Richardson K et al. | β | 2013 | β |
| Genetic association of COL5A1 variants in keratoconus patients suggests a complex connection between corneal thinning and keratoconus. | Li X et al. | β | 2013 | β |
| Genetic associations with valvular calcification and aortic stenosis. | Thanassoulis G et al. | β | 2013 | β |
| Genetic loci for retinal arteriolar microcirculation. | Sim X et al. | β | 2013 | β |
| Genetic risk factors for BMI and obesity in an ethnically diverse population: results from the population architecture using genomics and epidemiology (PAGE) study. | Fesinmeyer MD et al. | β | 2013 | β |
| Genetics and genomics for the prevention and treatment of cardiovascular disease: update: a scientific statement from the American Heart Association. | Ganesh SK et al. | β | 2013 | β |
| Genome-wide association study of retinopathy in individuals without diabetes. | Jensen RA et al. | β | 2013 | β |
| Lack of associations of ten candidate coronary heart disease risk genetic variants and subclinical atherosclerosis in four US populations: the Population Architecture using Genomics and Epidemiology (PAGE) study. | Zhang L et al. | β | 2013 | β |
| Novel locus including FGF21 is associated with dietary macronutrient intake. | Chu AY et al. | β | 2013 | β |
| Pitfalls of predicting complex traits from SNPs. | Wray NR et al. | β | 2013 | β |
| Population genomics of cardiometabolic traits: design of the University College London-London School of Hygiene and Tropical Medicine-Edinburgh-Bristol (UCLEB) Consortium. | Shah T et al. | β | 2013 | β |
| Principal components methods for narrow-sense heritability in the analysis of multidimensional longitudinal cognitive phenotypes. | Fung WL et al. | β | 2013 | β |
| Quantifying diet for nutrigenomic studies. | Tucker KL et al. | β | 2013 | β |
| Simple risk model predicts incidence of atrial fibrillation in a racially and geographically diverse population: the CHARGE-AF consortium. | Alonso A et al. | β | 2013 | β |
| Stroke Genetics Network (SiGN) study: design and rationale for a genome-wide association study of ischemic stroke subtypes. | Meschia JF et al. | β | 2013 | β |
| The 1000 Genomes Project: paving the way for personalized genomic medicine. | Gibson IB et al. | β | 2013 | β |
| The Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium as a model of collaborative science. | Psaty BM et al. | β | 2013 | β |
| The Contribution of the Framingham Heart Study to Gene Identification for Cardiovascular Risk Factors and Coronary Heart Disease. | Ehret GB | β | 2013 | β |
| The epidemiology of longevity and exceptional survival. | Newman AB et al. | β | 2013 | β |
| The molecular genetic architecture of self-employment. | van der Loos MJ et al. | β | 2013 | β |
| The Rotterdam Study: 2014 objectives and design update. | Hofman A et al. | β | 2013 | β |
| Value and challenges of measuring left ventricular mass in clinical research: implications for the practitioner. | Gottdiener JS | β | 2013 | β |
| A genetic risk score is associated with incident cardiovascular disease and coronary artery calcium: the Framingham Heart Study. | Thanassoulis G et al. | β | 2012 | β |
| A genome-wide association study identifies a potential novel gene locus for keratoconus, one of the commonest causes for corneal transplantation in developed countries. | Li X et al. | β | 2012 | β |
| Analysis of family- and population-based samples in cohort genome-wide association studies. | Manichaikul A et al. | β | 2012 | β |
| Association between chromosome 9p21 variants and the ankle-brachial index identified by a meta-analysis of 21 genome-wide association studies. | Murabito JM et al. | β | 2012 | β |
| Common genetic factors for hematological traits in humans. | Okada Y et al. | β | 2012 | β |
| Common variants at 12q14 and 12q24 are associated with hippocampal volume. | Bis JC et al. | β | 2012 | β |
| Common variants at 12q15 and 12q24 are associated with infant head circumference. | Taal HR et al. | β | 2012 | β |
| Common variants at 6q22 and 17q21 are associated with intracranial volume. | Ikram MA et al. | β | 2012 | β |
| Decreases in Casz1 mRNA by an siRNA Complex Do not Alter Blood Pressure in Mice. | Ji SM et al. | β | 2012 | β |
| Early menopause predicts future coronary heart disease and stroke: the Multi-Ethnic Study of Atherosclerosis. | Wellons M et al. | β | 2012 | β |
| Eight genetic loci associated with variation in lipoprotein-associated phospholipase A2 mass and activity and coronary heart disease: meta-analysis of genome-wide association studies from five community-based studies. | Grallert H et al. | β | 2012 | β |
| Genetic, physiological, and lifestyle predictors of mortality in the general population. | Walter S et al. | β | 2012 | β |
| Genetic variants and associations of 25-hydroxyvitamin D concentrations with major clinical outcomes. | Levin GP et al. | β | 2012 | β |
| Genome-wide joint meta-analysis of SNP and SNP-by-smoking interaction identifies novel loci for pulmonary function. | Hancock DB et al. | β | 2012 | β |
| Genomics and successful aging: grounds for renewed optimism? | Pilling LC et al. | β | 2012 | β |
| Identification of IGF1, SLC4A4, WWOX, and SFMBT1 as hypertension susceptibility genes in Han Chinese with a genome-wide gene-based association study. | Yang HC et al. | β | 2012 | β |
| Interactions between commensal fungi and the C-type lectin receptor Dectin-1 influence colitis. | Iliev ID et al. | β | 2012 | β |
| Methods of data collection and definitions of cardiac outcomes in the Rotterdam Study. | Leening MJ et al. | β | 2012 | β |
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