Keywords
Show more Keywords
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

You must log in to select data models for download or further analysis.

- 12/13/22 - 8 forms, 1 itemgroup, 31 items, 1 language
Itemgroup: pht005603
Principal Investigator: Markku Laakso, MD, PhD, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland MeSH: Metabolic Syndrome,Diabetes Mellitus, Type 2,Cardiovascular Diseases https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000743 The METSIM Study includes 10,197 men, aged from 45 to 73 years, randomly selected from the population register of the town of Kuopio, Eastern Finland, and examined in 2005-2010. The aim of the study is to investigate genetic and non-genetic factors associated with the risk of type 2 diabetes (T2D), cardiovascular disease (CVD), and insulin resistance-related traits in a cross-sectional and longitudinal setting. Study protocol includes collection of data on CVD risk factors (smoking, exercise, diet, history of chronic diseases including coronary heart disease, stroke, cardiac failure, medication, history of diabetes or early onset coronary heart disease in the family), questionnaire on the FINDRISC Score, measurement of height, weight, waist, hip, blood pressure, and bioimpedance for the evaluation of fat percentage. July 2016 - This first study release includes phenotype and whole exome sequencing data of n=982 participants in substudy: Type 2 Diabetes Genetic Exploration by Next-Generation Sequencing in Multi-Ethnic Samples (T2D-GENES) Project 1: Metabolic Syndrome in Men Study (METSIM) - phs001100.v2.p1. The second release (v2) includes phenotype data for the entire METSIM cohort and makes two additional substudies available, phs000919.v1.p1 and phs000752.v1.p1. *The METSIM Study v2 is utilized in the following dbGaP sub-studies.* To view genotypes, other molecular data, and derived variables collected in these sub-studies, please click on the following sub-studies below or in the "Sub-studies" section of this top-level study page phs000743.v2.p1 METSIM Study v2. - phs000752 METSIM FinMetSeq Exome Sequencing - phs000919 METSIM GWAS and Exome Chip - phs001100 METSIM T2D-GENES Exome Sequencing

pht005605.v1.p1

1 itemgroup 5 items

pht010809.v1.p1

1 itemgroup 6 items

pht004986.v1.p1

1 itemgroup 3 items

pht004822.v2.p1

1 itemgroup 4 items

pht004825.v1.p1

1 itemgroup 3 items

Eligibility

1 itemgroup 1 item
- 12/28/22 - 6 forms, 1 itemgroup, 1 item, 1 language
Itemgroup: IG.elig
Principal Investigator: Ranjan Deka, PhD, University of Cincinnati, Cincinnati, OH, USA MeSH: Metabolic Syndrome X,Diabetes mellitus type 2,Hypertension, Essential,Dyslipidemia,Coronary Heart Disease,Gout https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000737 The major objective of this study was to conduct a systematic genetic study of metabolic traits involved in metabolic syndrome through collection and analysis of epidemiological, demographic, environmental, and relevant biological and clinical data from a relatively isolated island population of the eastern Adriatic coast of Croatia. The population was chosen for the following reasons: 1) in spite of practicing a largely traditional life style and dietary habits, high rates of obesity, arterial hypertension, dyslipidemia and related metabolic abnormalities were found in previous studies; 2) the population was established by a relatively small number of founders, predominantly of Slavic descent from the mainland during 15th to 18th century AD, a genetically homogeneous population living in a homogeneous environment; 3) sharing a common European ancestry, a relevant population for study in the context of the general US population; 4) Croatian collaborators have been conducting anthropological and genetic studies in these communities for over three decades. There were two major aims of the study: 1) to recruit ~1200 adult participants and collect blood samples together with demographic, anthropometric, environmental and clinical data from the island of Hvar; to perform biochemical tests to measure glucose, insulin, uric acid and lipid levels; 2) conduct a genome-wide association analysis of metabolic traits and phenotypes using genome-wide SNP arrays (Affymetrix Genome-Wide Human SNP Array 5.0).

pht004443.v1.p1

1 itemgroup 4 items

pht004444.v1.p1

1 itemgroup 5 items

pht004445.v1.p1

1 itemgroup 7 items

pht004446.v1.p1

1 itemgroup 52 items

pht004447.v1.p1

1 itemgroup 6 items

Do you need help on how to use the search function? Please watch the corresponding tutorial video for more details and learn how to use the search function most efficiently.

Watch Tutorial