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

Pedigree Information

pht004444
Descripción

pht004444

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

FAMILY_ID

Tipo de datos

string

Alias
UMLS CUI [1,1]
C3669174
Unique Subject ID
Descripción

SUBJECT_ID

Tipo de datos

string

Alias
UMLS CUI [1,1]
C2348585
Father's Subject ID
Descripción

FATHER

Tipo de datos

string

Alias
UMLS CUI [1,1]
C3669177
UMLS CUI [1,2]
C0030761
Mother's Subject ID
Descripción

MOTHER

Tipo de datos

string

Alias
UMLS CUI [1,1]
C3669352
UMLS CUI [1,2]
C0030761
Sex
Descripción

SEX

Tipo de datos

text

Alias
UMLS CUI [1,1]
C0079399

Similar models

Pedigree Information

Name
Tipo
Description | Question | Decode (Coded Value)
Tipo de datos
Alias
Item Group
pht004444
C3846158 (UMLS CUI [1,1])
FAMILY_ID
Item
Family ID
string
C3669174 (UMLS CUI [1,1])
SUBJECT_ID
Item
Unique Subject ID
string
C2348585 (UMLS CUI [1,1])
FATHER
Item
Father's Subject ID
string
C3669177 (UMLS CUI [1,1])
C0030761 (UMLS CUI [1,2])
MOTHER
Item
Mother's Subject ID
string
C3669352 (UMLS CUI [1,1])
C0030761 (UMLS CUI [1,2])
Item
Sex
text
C0079399 (UMLS CUI [1,1])
Code List
Sex
CL Item
Unknown (0)
CL Item
Male (1)
C0086582 (UMLS CUI [1,1])
CL Item
Female (2)
C0086287 (UMLS CUI [1,1])

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