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

dbGaP-study=phs000737

Stichworte

  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

Pedigree Information

pht004444
Beschreibung

pht004444

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

FAMILY_ID

Datentyp

string

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

SUBJECT_ID

Datentyp

string

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

FATHER

Datentyp

string

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

MOTHER

Datentyp

string

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

SEX

Datentyp

text

Alias
UMLS CUI [1,1]
C0079399

Ähnliche Modelle

Pedigree Information

Name
Typ
Description | Question | Decode (Coded Value)
Datentyp
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])

Benutzen Sie dieses Formular für Rückmeldungen, Fragen und Verbesserungsvorschläge.

Mit * gekennzeichnete Felder sind notwendig.

Benötigen Sie Hilfe bei der Suche? Um mehr Details zu erfahren und die Suche effektiver nutzen zu können schauen Sie sich doch das entsprechende Video auf unserer Tutorial Seite an.

Zum Video