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Renale Insuffizienz, chronische ×
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Inhaltsverzeichnis
  1. 1. Klinische Studie
  2. 2. Routinedokumentation
  3. 3. Register-/Kohortenstudien
  4. 4. Qualitätssicherung
  5. 5. Datenstandard
  6. 6. Patientenfragebogen
  7. 7. Medizinische Fachrichtung
    1. 7.1. Anästhesie
    1. 7.2. Dermatologie
    1. 7.3. HNO
    1. 7.4. Geriatrie
    1. 7.5. Gynäkologie/Geburtshilfe
    1. 7.6. Innere Medizin
      1. Hämatologie
      1. Infektiologie
      1. Kardiologie/Angiologie
      1. Pneumologie
      1. Gastroenterologie
      1. Nephrologie
      1. Endokrinologie/Stoffwechsel
      1. Rheumatologie
    1. 7.7. Neurologie
    1. 7.8. Augenheilkunde
    1. 7.9. Palliativmedizin
    1. 7.10. Pathologie/Rechtsmedizin
    1. 7.11. Kinderheilkunde
    1. 7.12. Psychiatrie/Psychosomatik
    1. 7.13. Radiologie
    1. 7.14. Chirurgie
      1. Allgemein-/Viszeralchirurgie
      1. Neurochirurgie
      1. Plastische Chirurgie
      1. Herz-/Thoraxchirurgie
      1. Unfallchirurgie/Orthopädie
      1. Gefäßchirurgie
    1. 7.15. Urologie
    1. 7.16. Zahnmedizin/MKG
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dbGaP phs000961 eMERGE III: Columbia GENIE (Genomic Integration with EHR) - pht005331.v1.p1

- 31.01.24 - 5 Formulare, 1 Itemgruppe, 3 Datenelemente, 1 Sprache
Itemgruppe: 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 Itemgruppe 23 Datenelemente

pht005333.v1.p1

1 Itemgruppe 3 Datenelemente

Eligibility

1 Itemgruppe 3 Datenelemente

pht005330.v1.p1

1 Itemgruppe 4 Datenelemente

dbGaP phs000974 NHLBI TOPMed: Whole Genome Sequencing and Related Phenotypes in the Framingham Heart Study - Eligibility

- 01.12.23 - 4 Formulare, 1 Itemgruppe, 1 Datenelement, 1 Sprache
Itemgruppe: IG.elig
Principal Investigator: Vasan Ramachandran, Department of Medicine, Boston University School of Medicine, Boston, MA, USA MeSH: Cardiovascular Diseases,Atherosclerosis,Atrial Fibrillation,Death, Sudden, Cardiac,Diabetes Mellitus, Type 2,Heart Failure,Blood Pressure,Hypertension,Body Mass Index,Adiposity,Lipids,Pulmonary Disease, Chronic Obstructive,Renal Insufficiency, Chronic,Stroke,Osteoporosis,Risk Factors,Biological Markers,Biomarkers, Pharmacological https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000974 The Framingham Heart Study (FHS) is a prospective cohort study of 3 generations of subjects who have been followed up to 65 years to evaluate risk factors for cardiovascular disease. Its large sample of ~15,000 men and women who have been extensively phenotyped with repeated examinations make it ideal for the study of genetic associations with cardiovascular disease risk factors and outcomes. DNA samples have been collected and immortalized since the mid-1990s and are available on ~8000 study participants in 1037 families. These samples have been used for collection of GWAS array data and exome chip data in nearly all with DNA samples, and for targeted sequencing, deep exome sequencing and light coverage whole genome sequencing in limited numbers. Additionally, mRNA and miRNA expression data, DNA methylation data, metabolomics and other 'omics data are available on a sizable portion of study participants. This project will focus on deep whole genome sequencing (mean 30X coverage) in ~4100 subjects and imputed to all with GWAS array data to more fully understand the genetic contributions to cardiovascular, lung, blood and sleep disorders. Comprehensive phenotypic and pedigree data for study participants are available through dbGaP phs000007.

pht004909.v3.p3

1 Itemgruppe 2 Datenelemente

pht004910.v4.p3

1 Itemgruppe 2 Datenelemente

pht004911.v3.p3

1 Itemgruppe 9 Datenelemente

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