ID

45534

Descripción

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

dbGaP-study=phs000737

Palabras clave

  1. 28/12/22 28/12/22 - Chiara Middel
Titular de derechos de autor

Ranjan Deka, PhD, University of Cincinnati, Cincinnati, OH, USA

Subido en

28 de diciembre de 2022

DOI

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Licencia

Creative Commons BY 4.0

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dbGaP phs000737 NIDDK Genetics of Metabolic Syndrome in an Island Population

Subject - Sample Mapping

pht004445
Descripción

pht004445

Alias
UMLS CUI [1,1]
C3846158
Subject ID
Descripción

SUBJECT_ID

Tipo de datos

string

Alias
UMLS CUI [1,1]
C2348585
Sample ID
Descripción

SAMPLE_ID

Tipo de datos

string

Alias
UMLS CUI [1,1]
C1299222
Source repository where samples originate
Descripción

SAMPLE_SOURCE

Tipo de datos

string

Alias
UMLS CUI [1,1]
C3847505
UMLS CUI [1,2]
C0449416
UMLS CUI [1,3]
C2347026
Sample ID used in the Source Repository
Descripción

SOURCE_SAMPLE_ID

Tipo de datos

string

Alias
UMLS CUI [1,1]
C1299222
UMLS CUI [1,2]
C3847505
UMLS CUI [1,3]
C0449416
Phenotyped or not
Descripción

PHENOTYPED

Tipo de datos

text

Alias
UMLS CUI [1,1]
C1285572
UMLS CUI [2,1]
C1298908
UMLS CUI [2,2]
C1285572
Times of genotyping
Descripción

GENOTYPED

Tipo de datos

text

Alias
UMLS CUI [1,1]
C1285573
UMLS CUI [1,2]
C0011008
Sample Use
Descripción

SAMPLE_USE

Tipo de datos

text

Alias
UMLS CUI [1,1]
C2347026
UMLS CUI [1,2]
C1524063

Similar models

Subject - Sample Mapping

Name
Tipo
Description | Question | Decode (Coded Value)
Tipo de datos
Alias
Item Group
pht004445
C3846158 (UMLS CUI [1,1])
SUBJECT_ID
Item
Subject ID
string
C2348585 (UMLS CUI [1,1])
SAMPLE_ID
Item
Sample ID
string
C1299222 (UMLS CUI [1,1])
SAMPLE_SOURCE
Item
Source repository where samples originate
string
C3847505 (UMLS CUI [1,1])
C0449416 (UMLS CUI [1,2])
C2347026 (UMLS CUI [1,3])
SOURCE_SAMPLE_ID
Item
Sample ID used in the Source Repository
string
C1299222 (UMLS CUI [1,1])
C3847505 (UMLS CUI [1,2])
C0449416 (UMLS CUI [1,3])
Item
Phenotyped or not
text
C1285572 (UMLS CUI [1,1])
C1298908 (UMLS CUI [2,1])
C1285572 (UMLS CUI [2,2])
Code List
Phenotyped or not
CL Item
No (0)
CL Item
Yes (1)
GENOTYPED
Item
Times of genotyping
text
C1285573 (UMLS CUI [1,1])
C0011008 (UMLS CUI [1,2])
Item
Sample Use
text
C2347026 (UMLS CUI [1,1])
C1524063 (UMLS CUI [1,2])
Code List
Sample Use
CL Item
SNP genotypes obtained using standard or custom microarrays (Array_SNP)
C2347026 (UMLS CUI [1,1])
C0042153 (UMLS CUI [1,2])
C0752046 (UMLS CUI [1,3])
C1449575 (UMLS CUI [1,4])

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