ID
45534
Beschreibung
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).
Link
Stichworte
Versionen (1)
- 28.12.22 28.12.22 - Chiara Middel
Rechteinhaber
Ranjan Deka, PhD, University of Cincinnati, Cincinnati, OH, USA
Hochgeladen am
28. Dezember 2022
DOI
Für eine Beantragung loggen Sie sich ein.
Lizenz
Creative Commons BY 4.0
Modell Kommentare :
Hier können Sie das Modell kommentieren. Über die Sprechblasen an den Itemgruppen und Items können Sie diese spezifisch kommentieren.
Itemgroup Kommentare für :
Item Kommentare für :
Um Formulare herunterzuladen müssen Sie angemeldet sein. Bitte loggen Sie sich ein oder registrieren Sie sich kostenlos.
dbGaP phs000737 NIDDK Genetics of Metabolic Syndrome in an Island Population
Sample - Attribute Information
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent - Affection Status (All Controls)
- Pedigree Information
- Subject - Sample Mapping
- The dataset provides medical history information (e.g. diagnoses of coronary heart disease, diabetes, gout, metabolic syndrom x, age of diagnosis, etc.), blood test values (n=11 variables, e.g. creatinin, glucose, HbA1c, insulin, lipids, uric acid), bloaad pressure, body structure measurements (n=13 variables, e.g. BMI, height, waist, weight, waist-to-hip ratio, biceps and abdominal skinfold thickness), and basic socio-demographic data.
- Sample - Attribute Information
Ähnliche Modelle
Sample - Attribute Information
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent - Affection Status (All Controls)
- Pedigree Information
- Subject - Sample Mapping
- The dataset provides medical history information (e.g. diagnoses of coronary heart disease, diabetes, gout, metabolic syndrom x, age of diagnosis, etc.), blood test values (n=11 variables, e.g. creatinin, glucose, HbA1c, insulin, lipids, uric acid), bloaad pressure, body structure measurements (n=13 variables, e.g. BMI, height, waist, weight, waist-to-hip ratio, biceps and abdominal skinfold thickness), and basic socio-demographic data.
- Sample - Attribute Information
C1299222 (UMLS CUI [1,2])
C1515974 (UMLS CUI [1,2])
C0007634 (UMLS CUI [1,2])
C0332307 (UMLS CUI [1,3])
C2347026 (UMLS CUI [2,1])
C0007634 (UMLS CUI [2,2])
C0449560 (UMLS CUI [2,3])
C1292533 (UMLS CUI [3,1])
C0332307 (UMLS CUI [3,2])
C1292533 (UMLS CUI [4,1])
C0449560 (UMLS CUI [4,2])
C0565990 (UMLS CUI [1,2])
C1285573 (UMLS CUI [1,3])
C0011008 (UMLS CUI [1,2])