ID
45534
Description
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).
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- 12/28/22 12/28/22 - Chiara Middel
Copyright Holder
Ranjan Deka, PhD, University of Cincinnati, Cincinnati, OH, USA
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December 28, 2022
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Creative Commons BY 4.0
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dbGaP phs000737 NIDDK Genetics of Metabolic Syndrome in an Island Population
Subject - Consent - Affection Status (All Controls)
- 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
Similar models
Subject - Consent - Affection Status (All Controls)
- 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
C0441833 (UMLS CUI [1,2])
C0449416 (UMLS CUI [1,2])
C0681850 (UMLS CUI [1,3])
C3847505 (UMLS CUI [1,2])
C0449416 (UMLS CUI [1,3])