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Basisregister - Basic Data Set**-V2

- 14.10.24 - 31 forms, 40 itemgroups, 68 items, 1 language

Itemgroups: Date of recording**, Quality Level, Sex**, Date of Birth**, Height**, Weight**, Ethnicity: Caucasian**, Family history of myocardial infarction or stroke in parents, siblings or children under the age of 65 for women or under 55 for men**, Diabetes mellitus**, Arterial hypertension**, Dyslipidaemia**, Smoker**, Current Dialysis Dependency**, Coronary heart disease**, Status post myocardial infarction**, Cardiomyopathy**, Heart failure**, Atrial fibrillation/flutter**, Current or previous diagnosis by a doctor of heart valve disease**, Diagnosis by a doctor of a congenital heart defect**, Interventional coronary revascularization**, Coronary bypass operation**, Heart valve operation**, Implanted pacemaker or defibrillator?**, PAVK**, Stroke/TIA**, Chronic lung disease**, Depression**, Cancer more than 5 years ago**, Cancer within the last 5 years**, Blood pressure after 5 minutes at rest, Heart rate**, For clinically stable patients, not more than 1 week old, otherwise up to date!, Haemoglobin**, Creatinine (serum, heparin plasma)**, Total cholesterol**, Menopause?**, Patientenidentifikation, Gespeichert, Dokument Statusinformationen

Basisregister aus Deutsches Zentrum für Herz-Kreislauf-Forschung e. V

Anamnesis and Clinical Diagnoses (incl. Basic Data Set**)-V2

56 itemgroups 128 items

dbGaP phs000428 Health and Retirement Study (HRS) - pht005036.v1.p2

- 29.01.25 - 6 forms, 1 itemgroup, 4 items, 1 language

Itemgroup: 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 itemgroup 6 items

pht002612.v2.p2

1 itemgroup 4 items

pht002613.v2.p2

1 itemgroup 5 items

pht002614.v2.p2

1 itemgroup 7 items

pht005037.v1.p2

1 itemgroup 5 items

dbGaP phs000744 Yale Center for Mendelian Genomics (Y CMG) - pht003977.v4.p2

- 11.12.22 - 5 forms, 1 itemgroup, 5 items, 1 language

Itemgroup: pht003977

Principal Investigator: Richard Lifton, Yale University, New Haven, CT, USA MeSH: Familial Idiopathic Pulmonary Fibrosis,Aortic Coarctation,Aortic Stenosis, Supravalvular,Aortic Valve, Bicuspid,Arteries,Blepharophimosis,Bronchiectasis,Carcinoma, Renal Cell,Cardiomyopathies,Ciliary Motility Disorders,Cleft Palate,Congenital Abnormalities,Diaphragmatic Hernia,Ductus Arteriosus, Patent,Gastroschisis,Heart Defects, Congenital,Heart Septal Defects, Atrial,Heart Valve Diseases,Hemangioma,Hereditary Sensory and Autonomic Neuropathies,Hydrocephalus,Hyper-IgM Immunodeficiency Syndrome,Hyperaldosteronism,Hypertension,Ichthyosiform Erythroderma, Congenital,Idiopathic Pulmonary Fibrosis,Lung Diseases, Interstitial,Muscular Atrophy, Spinal,Neuroblastoma,Pneumothorax,Pulmonary Atresia,Pulmonary Valve Stenosis,Rett Syndrome,Spina Bifida,Tetralogy of Fallot,Transposition of Great Vessels,Tricuspid Atresia https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000744 Yale University is home to one of three national centers created by the NIH to study the genetics of rare inherited diseases. Researchers at Yale, the University of Washington, and a center operated jointly by Baylor and Johns Hopkins University will analyze the genomes of thousands of patients who suffer from more than 6,000 rare Mendelian disorders affecting more than 25 million individuals in US. The Centers for Mendelian Genomics will apply next-generation sequencing and computational approaches to discover the genes and variants that underlie Mendelian disorders. The discovery of new genes that cause Mendelian conditions will expand our understanding about their biology to facilitate their diagnosis, and potentially indicate new treatments. The Centers for Mendelian Genomics will provide free exome sequencing and analysis to collaborating investigators for qualified phenotypes. If you are interested in working with the CMG to discover the genetic basis of a Mendelian condition, please contact Yale Center (shrikant.mane@yale.edu) for further information.

pht003978.v4.p2

1 itemgroup 3 items

pht003979.v4.p2

1 itemgroup 7 items

pht003980.v4.p2

1 itemgroup 2 items

pht003976.v4.p2

1 itemgroup 2 items

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