ID

45534

Beschrijving

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

Trefwoorden

  1. 28-12-22 28-12-22 - Chiara Middel
Houder van rechten

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

Geüploaded op

28 december 2022

DOI

Voor een aanvraag inloggen.

Licentie

Creative Commons BY 4.0

Model Commentaren :

Hier kunt u commentaar leveren op het model. U kunt de tekstballonnen bij de itemgroepen en items gebruiken om er specifiek commentaar op te geven.

Itemgroep Commentaren voor :

Item Commentaren voor :

U moet ingelogd zijn om formulieren te downloaden. AUB inloggen of schrijf u gratis in.

dbGaP phs000737 NIDDK Genetics of Metabolic Syndrome in an Island Population

Pedigree Information

pht004444
Beschrijving

pht004444

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

FAMILY_ID

Datatype

string

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

SUBJECT_ID

Datatype

string

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

FATHER

Datatype

string

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

MOTHER

Datatype

string

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

SEX

Datatype

text

Alias
UMLS CUI [1,1]
C0079399

Similar models

Pedigree Information

Name
Type
Description | Question | Decode (Coded Value)
Datatype
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])

Gebruik dit formulier voor feedback, vragen en verbeteringsvoorstellen.

Velden gemarkeerd met een * zijn verplicht.

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