Keywords
Diabetes Mellitus, Type 2 ×
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Table of contents
  1. 1. Clinical Trial
  2. 2. Routine Documentation
  3. 3. Registry/Cohort Study
  4. 4. Quality Assurance
  5. 5. Data Standard
  6. 6. Patient-Reported Outcome
  7. 7. Medical Specialty
    1. 7.1. Anesthesiology
    1. 7.2. Dermatology
    1. 7.3. ENT
    1. 7.4. Geriatrics
    1. 7.5. Gynecology/Obstetrics
    1. 7.6. Internal Medicine
      1. Hematology
      1. Infectious Diseases
      1. Cardiology/Angiology
      1. Pneumology
      1. Gastroenterology
      1. Nephrology
      1. Endocrinology/Metabolic Diseases
      1. Rheumatology
    1. 7.7. Neurology
    1. 7.8. Ophthalmology
    1. 7.9. Palliative Care
    1. 7.10. Pathology/Forensics
    1. 7.11. Pediatrics
    1. 7.12. Psychiatry/Psychosomatics
    1. 7.13. Radiology
    1. 7.14. Surgery
      1. General/Visceral Surgery
      1. Neurosurgery
      1. Plastic Surgery
      1. Thoracic Surgery
      1. Trauma/Orthopedics
      1. Vascular Surgery
    1. 7.15. Urology
    1. 7.16. Dental Medicine/OMS
Selected data models

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- 10/12/22 - 4 forms, 1 itemgroup, 2 items, 1 language
Itemgroup: pht002351
Principal Investigator: Erwin P. Bottinger, Charles R. Bronfman Institute for Personalized Medicine, Mount Sinai School of Medicine, New York, NY, USA MeSH: Coronary Artery Disease,Chronic Kidney Failure,Diabetes Mellitus, Type 2,Hypertension,Dyslipidemias https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000388 The Institute for Personalized Medicine (IPM) Biobank Project is a consented, EMR-linked medical care setting biorepository of the Mount Sinai Medical Center (MSMC) drawing from a population of over 70,000 inpatients and 800,000 outpatient visits annually. MSMC serves diverse local communities of upper Manhattan, including Central Harlem (86% African American), East Harlem (88% Hispanic Latino), and Upper East Side (88% Caucasian/white) with broad health disparities. IPM Biobank populations include 28% African American (AA), 38% Hispanic Latino (HL) predominantly of Caribbean origin, 23% Caucasian/White (CW). IPM Biobank disease burden is reflective of health disparities with broad public health impact: average body mass index of 28.9 and frequencies of hypertension (55%), hypercholesterolemia (32%), diabetes (30%), coronary artery disease (25%), chronic kidney disease (23%), among others. Biobank operations are fully integrated in clinical care processes, including direct recruitment from clinical sites, waiting areas and phlebotomy stations by dedicated Biobank recruiters independent of clinical care providers, prior to or following a clinician standard of care visit. Recruitment currently occurs at a broad spectrum of over 30 clinical care sites. Minorities are strikingly underrepresented in GWAS, including Coronary Artery Disease (CAD) and Chronic Kidney Disease; multigenic genetic risk scores for CAD have been recently validated in European ancestry populations, but not in AA or HL populations. Several important opportunities exist for extending additional GWAS to minority populations with a shared risk spectrum of CAD and CKD. For example, progressive CKD is a major and independent risk factor for CVD with an inverse relationship between estimated GFR (eGFR), and risk for mortality and cardiovascular events. This increased risk is only partially explained by the prevalence of cardiovascular risk factors among these patients. We conducted a GWAS of CAD and CKD related phenotypes in IPM Biobank with the primary objective to explore the genetics of overlapping CAD and CKD predominantly in minority populations characterized by increased risk.

pht002352.v1.p1

1 itemgroup 2 items

pht002353.v1.p1

1 itemgroup 9 items

Eligibility

1 itemgroup 1 item
- 1/31/24 - 5 forms, 1 itemgroup, 3 items, 1 language
Itemgroup: pht005331

pht005332.v1.p1

1 itemgroup 23 items

pht005333.v1.p1

1 itemgroup 3 items

Eligibility

1 itemgroup 3 items

pht005330.v1.p1

1 itemgroup 4 items
- 4/28/24 - 5 forms, 1 itemgroup, 1 item, 1 language
Itemgroup: IG.elig
Principal Investigator: Ruth Loos, PhD, The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA MeSH: Cardiovascular Diseases,Obesity,Diabetes Mellitus, Type 2,Glucose,Kidney Failure, Chronic,Cholesterol, HDL,Cholesterol, LDL,Triglycerides,Coronary Disease,Myocardial Infarction,Inflammation,Stroke,Body Height https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000925 The Institute for Personalized Medicine (IPM) Bio*Me* Biobank is a consented, EMR-linked medical care setting biorepository of the Mount Sinai Medical Center (MSMC) drawing from a population of over 70,000 inpatients and 800,000 outpatient visits annually. MSMC serves diverse local communities of upper Manhattan, including Central Harlem (86% African American), East Harlem (88% Hispanic Latino), and Upper East Side (88% Caucasian/white) with broad health disparities. IPM Bio*Me* Biobank populations include 28% African American, 38% Hispanic Latino predominantly of Caribbean origin, 23% Caucasian/White. IPM BioMe Biobank disease burden is reflective of health disparities with broad public health impact. Biobank operations are fully integrated in clinical care processes, including direct recruitment from clinical sites waiting areas and phlebotomy stations by dedicated Biobank recruiters independent of clinical care providers, prior to or following a clinician standard of care visit. Recruitment currently occurs at a broad spectrum of over 30 clinical care sites. This study is part of the Population Architecture using Genomics and Epidemiology (PAGE) study (phs000356).

pht005176.v1.p1

1 itemgroup 4 items

pht005178.v1.p1

1 itemgroup 6 items

pht006203.v1.p1

1 itemgroup 6 items

pht005177.v1.p1

1 itemgroup 5 items
- 12/1/23 - 4 forms, 1 itemgroup, 1 item, 1 language
Itemgroup: 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 itemgroup 2 items

pht004910.v4.p3

1 itemgroup 2 items

pht004911.v3.p3

1 itemgroup 9 items

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