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23 Résultats de recherche.
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dbGaP phs000428 Health and Retirement Study (HRS) - pht005036.v1.p2

- 29/01/25 - 6 Formulaires, 1 Groupe Item, 4 Eléments de données, 1 Langue
Groupe Item: pht005036
Principal Investigator: David Weir, PhD, University of Michigan, Ann Arbor, MI, USA MeSH: Aging,Neoplasms,Arthritis,Lung Diseases, Obstructive,Dementia,Heart Diseases,Heart Failure,Hypertension,Myocardial Infarction,Diabetes Mellitus,Hypercholesterolemia,Obesity,Body Weight,Mobility Limitation,Pain,Cholesterol,Hemoglobin A, Glycosylated,C-Reactive Protein,Cystatin C,Depression,Alcohol Drinking,Smoking,Personality,Life Style,Cognition,Demography,Ethnic Groups,Health Status,Population Groups,Housing,Independent Living,Socioeconomic Factors,Career Mobility,Educational Status,Employment,Family Characteristics,Income,Occupations,Poverty,Social Change,Social Class,Social Conditions,Risk Factors https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000428 *Introduction to V2: *This data release comprises data from the V1 release combined with approximately 3,000 additional samples, collected during the HRS 2010 field period. The 2010 data include samples from a random half of the new cohort enrolled in 2010 along with a significant expansion of the minority sample. *Description:* The University of Michigan Health and Retirement Study (HRS) is a longitudinal panel study that surveys a representative sample of approximately 20,000 people in America over the age of 50 every two years. Supported by the National Institute on Aging (NIA U01AG009740) and the Social Security Administration, the HRS explores the changes in labor force participation and the health transitions that individuals undergo toward the end of their work lives and in the years that follow. The study collects information about income, work, assets, pension plans, health insurance, disability, physical health and functioning, cognitive functioning, and health care expenditures. Through its unique and in-depth interviews, the HRS provides an invaluable and growing body of multidisciplinary data that researchers can use to address important questions about the challenges and opportunities of aging. Because of its innovation and importance, the HRS has become the model and hub for a growing network of harmonized longitudinal aging studies around the world. *Origins of the HRS.* As the population ages it is increasingly important to obtain reliable data about aging and topics that are relevant to a range of policy issues in aging. To address this need, the National Institutes on Aging (NIA) established a cooperative agreement with the University of Michigan Institute for Social Research to collect such data. The HRS launched data collection in 1992 and has re-interviewed the original sample of respondents every two years since then. By adding new cohorts and refreshing the sample, the HRS has grown to become the largest, most representative longitudinal panel study of Americans 50 years and older. *HRS Study Design.* The target population for the original HRS cohort includes all adults in the contiguous United States born during the years 1931-1941 who reside in households, with a 2:1 oversample of African-American and Hispanic populations. The original sample is refreshed with new birth cohorts (51-56 years of age) every six years. The sample has been expanded over the years to include a broader range of birth cohorts as well. The target population for the AHEAD survey consists of United States household residents who were born in 1923 or earlier. Children of the Depression (CODA) recruits households born 1924-1930, War Babies 1942-47, Early Boomers 1948-53, and Mid-Boomers 1954-59. Data collection includes a mixed mode design combining in-person, telephone, mail, and Internet. For consenting respondents, HRS data are linked at the individual level to administrative records from Social Security and Medicare claims. *Genetic Research in the HRS.* The HRS has genotyped 2.5 million single nucleotide polymorphisms (SNPs) on respondents using Illumina's Human Omni2.5-Quad (Omni2.5) BeadChip. The genotyping was performed by the NIH Center for Inherited Disease Research (CIDR). Saliva was collected on half of the HRS sample each wave starting in 2006. In 2006, saliva was collected using a mouthwash collection method. From 2008 onward, the data collection method switched to the Oragene kit. Saliva completion rates were 83% in 2006, 84% in 2008, and 80% in 2010 among new cohort enrollees. HRS Phenotypic data. Phenotypic data are available on a variety of dimensions. Health measures include physical/psychological self-report, various health conditions, disabilities, cognitive performance, health behaviors (smoking, drinking, exercise), physical performance and anthropomorphic measures, and biomarkers (HbA1c, Total Cholesterol, HDL, CRP, Cystatin-C). Data are also available on health services including utilization, insurance and out-of-pocket spending with linkage to Medicare records. Economic measures include employment status/history, earnings, disability, retirement, type of work, income by source, wealth by asset type, capital gains/debt, consumption, linkage to pensions, Social Security earnings/benefit histories. There is also extensive information on family structure, proximity, transfers to/from of money, time, social and psychological characteristics, as well as a wide range of demographics. Performance on a cognitive test combining immediate and delayed word recall was selected as an example trait for the dbGaP data release. In the immediate word recall task the interviewer reads a list of 10 nouns to the respondent and asks the respondent to recall as many words as possible from the list in any order. After approximately five minutes of asking other survey questions, the respondent is asked to recall the nouns previously presented as part of the immediate recall task. The total recall score is the sum of the correct answers to these two tasks, with a range of 0 to 20. Researchers who wish to link to other HRS measures not in dbGaP will be able to apply for access from HRS. A separate Data Use Agreement (DUA) will be required for linkage to the HRS data. See the HRS website (http://hrsonline.isr.umich.edu/gwas) for details.

Eligibility

1 Groupe Item 6 Eléments de données

pht002612.v2.p2

1 Groupe Item 4 Eléments de données

pht002613.v2.p2

1 Groupe Item 5 Eléments de données

pht002614.v2.p2

1 Groupe Item 7 Eléments de données

pht005037.v1.p2

1 Groupe Item 5 Eléments de données

dbGaP phs000924 NextGen Consortium: The iPSCORE (iPSC Collection for Omic Research) Resource - Eligibility

- 28/04/24 - 6 Formulaires, 1 Groupe Item, 1 Élément de données, 1 Langue
Groupe Item: IG.elig
Principal Investigator: Kelly Frazer, PhD, University of California San Diego, CA, USA MeSH: Heart Diseases,Cardiovascular Diseases,Healthy Volunteers https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000924 The iPSCORE Resource of human induced pluripotent stem cells (hiPSCs) was created as part of the Next-Gen Consortium funded by the NHLBI. The overarching purpose of the iPSCORE Resource is to provide a large collection of hiPSCs for use in studying the impact of genetic variation on molecular and physiological phenotypes. This Resource is being used in a number of ongoing studies for which genomic data will be generated and deposited into public repositories and linked through dbGaP. A total of 273 individuals have participated in the study for which 222 have had hiPSCs generated from fibroblasts (available through WiCell (http://www.wicell.org/)). Of the 273 individuals, 181 are part of 55 families that include 24 monozygotic twin pairs and 5 dizygotic twin pairs, allowing for the incorporation of familial relationships into genetic analyses. Germline DNA has been sequenced from blood or fibroblast samples for all 273 individuals (see phs001325) and other genomic data (RNA-seq, DNA methylation, and genotype arrays) has been generated from the 222 hiPSCs derived from a subset of these individuals (phs000924). Current studies include differentiation of these hiPSCs to other cell types, including cardiomyocytes and retinal pigment epithelium, and the generation of additional genomic data.

pht006320.v3.p1

1 Groupe Item 3 Eléments de données

pht006321.v1.p1

1 Groupe Item 7 Eléments de données

pht006322.v4.p1

1 Groupe Item 2 Eléments de données

pht006323.v2.p1

1 Groupe Item 22 Eléments de données

pht006324.v4.p1

1 Groupe Item 31 Eléments de données

dbGaP phs000961 eMERGE III: Columbia GENIE (Genomic Integration with EHR) - pht005331.v1.p1

- 31/01/24 - 5 Formulaires, 1 Groupe Item, 3 Eléments de données, 1 Langue
Groupe Item: pht005331
Principal Investigator: Chunhua Weng, PhD, Department of Biomedical Informatics, Columbia University, College of Physicians and Surgeons, New York, NY, USA MeSH: NA,Renal Insufficiency, Chronic,Alzheimer Disease,Aortic Aneurysm, Abdominal,Asthma,Attention Deficit Disorder with Hyperactivity,Clostridium difficile,Dermatitis, Atopic,Diabetes Mellitus, Type 2,Heart Diseases,Herpes Zoster,Hypothyroidism,Methicillin-Resistant Staphylococcus aureus,Prostatic Hyperplasia https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000961 The Columbia GENIE study contributes and shares phenotype and genotype data for individuals who were treated with our healthcare facilities and consented to share their data with dbGaP for scientific discovery. Some of these individuals have kidney or neurological problems and some are healthy volunteers from the Washington Height patient community. The purpose of this NOMAS study is to obtain information about physical features of the brain, carotid arteries, and heart. Some of our patients are pediatric patients with cardiac conditions. The study sample consists of four patient cohorts: - Northern Manhattan Study (NOMAS), N=1072 - Pediatric Cardiac Genomic Consortium (PCGC), n=374 - Caribbean Hispanics with Familial and Sporadic Late Onset Alzheimer's disease (Caribbean Hispanics/AD), n=330 - Alzheimer's Disease Sequencing Project (ADSP, n=44) - Genetics of Chronic Kidney Disease Study, n=1256

pht005332.v1.p1

1 Groupe Item 23 Eléments de données

pht005333.v1.p1

1 Groupe Item 3 Eléments de données

Eligibility

1 Groupe Item 3 Eléments de données

pht005330.v1.p1

1 Groupe Item 4 Eléments de données

dbGaP phs001325 NextGen Consortium: The iPSCORE (iPSC Collection for Omic Research) Resource - Whole Genome Sequence - pht006349.v1.p1

- 12/03/23 - 6 Formulaires, 1 Groupe Item, 2 Eléments de données, 1 Langue
Groupe Item: pht006349
Principal Investigator: Kelly Frazer, PhD, University of California San Diego, CA, USA MeSH: Heart Diseases,Cardiovascular Diseases,Healthy Volunteers https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001325 The iPSCORE Resource of human induced pluripotent stem cells (hiPSCs) was created as part of the Next-Gen Consortium funded by the NHLBI. The overarching purpose of the iPSCORE Resource is to provide a large collection of hiPSCs for use in studying the impact of genetic variation on molecular and physiological phenotypes. This Resource is being used in a number of ongoing studies for which genomic data will be generated and deposited into public repositories and linked through dbGaP. A total of 273 individuals have participated in the study for which 222 have had hiPSCs generated from fibroblasts (available through WiCell (http://www.wicell.org/)). Of the 273 individuals, 181 are part of 55 families that include 24 monozygotic twin pairs and 5 dizygotic twin pairs, allowing for the incorporation of familial relationships into genetic analyses. Germline DNA has been sequenced from blood or fibroblast samples for all 273 individuals (this study) and other genomic data (RNA-seq, DNA methylation, and genotype arrays) has been generated from the 222 hiPSCs derived from a subset of these individuals (phs000924). Current studies include differentiation of these hiPSCs to other cell types, including cardiomyocytes and retinal pigment epithelium, and the generation of additional genomic data.

pht006350.v1.p1

1 Groupe Item 7 Eléments de données

pht006351.v2.p1

1 Groupe Item 2 Eléments de données

Eligibility

1 Groupe Item 1 Élément de données

pht006352.v2.p1

1 Groupe Item 22 Eléments de données

pht006353.v2.p1

1 Groupe Item 11 Eléments de données

dbGaP phs000514 Identification of Genes Involved in Familial Coronary Artery Disease - Eligibility

- 13/12/22 - 5 Formulaires, 1 Groupe Item, 10 Eléments de données, 1 Langue
Groupe Item: IG.elig
Principal Investigator: Hagit Baris, MD, Rabin Medical Center, Petah Tikva, Israel MeSH: Coronary Artery Disease,Atherosclerosis,Heart Diseases https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000514 Studying families with multiple cases of coronary artery disease (CAD) or with early onset CAD in order to identify new genes involved in CAD in an autosomal dominant manner. After identifying these genes in families that pass on CAD in Mendelian inheritance, we want to pursue their role in the pathogenesis of CAD and their contribution in the general population.

pht002837.v1.p1

1 Groupe Item 3 Eléments de données

pht002838.v1.p1

1 Groupe Item 3 Eléments de données

pht002839.v1.p1

1 Groupe Item 2 Eléments de données

pht002840.v1.p1

1 Groupe Item 2 Eléments de données

dbGaP phs000090 The Atherosclerosis Risk in Communities (ARIC) Study - pht001035.v1.p1

- 12/10/22 - 3 Formulaires, 1 Groupe Item, 4 Eléments de données, 1 Langue
Groupe Item: pht001035.v1.p1
https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000090 The Atherosclerosis Risk in Communities (ARIC) Study, sponsored by the National Heart, Lung and Blood Institute (NHLBI), is a prospective epidemiologic study conducted in four U.S. communities. The four communities are Forsyth County, NC; Jackson, MS; the northwest suburbs of Minneapolis, MN; and Washington County, MD. ARIC is designed to investigate the etiology and natural history of atherosclerosis, the etiology of clinical atherosclerotic diseases, and variation in cardiovascular risk factors, medical care and disease by race, gender, location, and date. ARIC includes two parts: the Cohort Component and the Community Surveillance Component. The Cohort Component began in 1987, and each ARIC field center randomly selected and recruited a cohort sample of approximately 4,000 individuals aged 45-64 from a defined population in their community. A total of 15,792 participants received an extensive examination, including medical, social, and demographic data. These participants were reexamined every three years with the first screen (baseline) occurring in 1987-89, the second in 1990-92, the third in 1993-95, and the fourth and last exam was in 1996-98. Follow-up occurs yearly by telephone to maintain contact with participants and to assess health status of the cohort. In the Community Surveillance Component, currently ongoing, these four communities are investigated to determine the community-wide occurrence of hospitalized myocardial infarction and coronary heart disease deaths in men and women aged 35-84 years. Hospitalized stroke is investigated in cohort participants only. Starting in 2006, the study conducts community surveillance of inpatient (ages 55 years and older) and outpatient heart failure (ages 65 years and older) for heart failure events beginning in 2005. ARIC is currently funded through January 31, 2012. This study is part of the Gene Environment Association Studies initiative (GENEVA, http://www.genevastudy.org) funded by the trans-NIH Genes, Environment, and Health Initiative (GEI). The overarching goal is to identify novel genetic factors that contribute to atherosclerosis and cardiovascular disease through large-scale genome-wide association studies of well-characterized cohorts of adults in four defined populations. Genotyping was performed at the Broad Institute of MIT and Harvard, a GENEVA genotyping center. Data cleaning and harmonization were done at the GEI-funded GENEVA Coordinating Center at the University of Washington.

pht000114.v1.p1

1 Groupe Item 362 Eléments de données

pht001036.v1.p1

1 Groupe Item 4 Eléments de données

Eligibility Heart Valve Diseases; NCT02237495

- 20/09/21 - 1 Formulaire, 2 Groupes Item, 14 Eléments de données, 1 Langue
Groupes Item: Inclusion Criteria, Exclusion Criteria
Dexmedetomidine and Outcomes of Cardiac Surgery (DOCS); ODM derived from: https://clinicaltrials.gov/show/NCT02237495

Eligibility NCT00558584 Dilated Cardiomyopathy - Eligibility

- 20/09/21 - 1 Formulaire, 2 Groupes Item, 28 Eléments de données, 2 Langues
Groupes Item: Inclusion Criteria, Exclusion Criteria
ODM derived from http://clinicaltrials.gov/show/NCT00558584

Eligibility NCT00293943 Atrial Fibrillation - Eligibility

- 17/09/21 - 1 Formulaire, 3 Groupes Item, 56 Eléments de données, 2 Langues
Groupes Item: Inclusion Criteria, Exclusion Criteria, Medical Concepts
ODM derived from http://clinicaltrials.gov/show/NCT00293943

Eligibility DRKS00006507 NCT00679419 Coronary Artery Disease Renal Failure - Eligibility

- 17/09/21 - 1 Formulaire, 2 Groupes Item, 12 Eléments de données, 2 Langues
Groupes Item: Inclusion Criteria, Exclusion Criteria
ODM derived from http://clinicaltrials.gov/show/NCT00679419

Eligibility Heart Diseases NCT02015832

- 27/05/20 - 1 Formulaire, 2 Groupes Item, 18 Eléments de données, 1 Langue
Groupes Item: Inclusion Criteria, Exclusion Criteria
A Trial to Evaluate a New Strategy in the Functional Assessment of 3-vessel Disease Using the SYNTAX II Score in Patients Treated With PCI; ODM derived from: https://clinicaltrials.gov/show/NCT02015832

Eligibility Heart Disease NCT02499731

- 05/01/20 - 1 Formulaire, 2 Groupes Item, 16 Eléments de données, 1 Langue
Groupes Item: Inclusion Criteria, Exclusion Criteria
Strong Hearts: Rural CVD Prevention; ODM derived from: https://clinicaltrials.gov/show/NCT02499731

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