ID

44995

Beschreibung

Principal Investigator: Braxton D. Mitchell, PhD, University of Maryland, Baltimore, MD, USA MeSH: Stroke https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000292 The Genetics of Early Onset Stroke (GEOS) Study is a population-based case-control study designed to identify genes associated with early-onset ischemic stroke and to characterize interactions of identified stroke genes and/or SNPs with environmental risk factors such as smoking and oral contraceptive use. The GEOS study consists of 921 ischemic stroke cases with age of first stroke 16-50 years and a similar number of controls, identified from the Baltimore-Washington area. Cases and controls were recruited in 3 different time periods: Stroke Prevention in Young Women-1 (SPYW-1) conducted from 1992-1996, Stroke Prevention in Young Women-2 (SPYW-2) conducted from 2001-2003, and Stroke Prevention in Young Men (SPYM) conducted from 2003-2007. The overall GEOS sample includes 477 cases who self-reported their race as "white" and 396 cases who self-reported their race as "African American." Traditional stroke risk factors and other study variables, including age, ethnicity, and history of hypertension, diabetes, myocardial infarction (MI), current smoking status, and current oral contraceptive use (both defined as use within one month prior to event for cases and at a comparable reference time for controls), were also collected during standardized interview and were included as covariates in our analyses. This study is part of the Gene Environment Association Studies initiative (GENEVA, http://www.genevastudy.org) funded by the trans-NIH Genes, Environment, and Health Initiative (GEI). The overarching goal is to identify novel genetic factors that contribute to early-onset ischemic stroke through large-scale genome-wide association studies of cases and controls of European and African descent from the Baltimore-Washington area. Genotyping was performed at the Johns Hopkins University Center for Inherited Disease Research (CIDR). Data cleaning and harmonization were done at the GEI-funded GENEVA Coordinating Center at the University of Washington.

Link

https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000292

Stichworte

  1. 23.06.22 23.06.22 - Dr. Christian Niklas
  2. 12.10.22 12.10.22 - Adrian Schulz
Rechteinhaber

Braxton D. Mitchell, PhD, University of Maryland, Baltimore, MD, USA

Hochgeladen am

23. Juni 2022

DOI

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Lizenz

Creative Commons BY 4.0

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dbGaP phs000292 GENEVA Genetics of Early Onset Stroke (GEOS) Study

GEOS - Subject - Sample Mapping

pht001526
Beschreibung

pht001526

GENEVA ID
Beschreibung

SUBJID

Datentyp

text

Alias
UMLS CUI [1,1]
C2348585
Sample genotyping instance ID
Beschreibung

SAMPID

Datentyp

text

Alias
UMLS CUI [1,1]
C1285573
UMLS CUI [1,2]
C0600091
UMLS CUI [1,3]
C0370003
Source repository where samples originate
Beschreibung

SAMP_SOURCE

Datentyp

string

Alias
UMLS CUI [1,1]
C0449416
UMLS CUI [1,2]
C0370003
Sample ID used in the Source Repository
Beschreibung

SOURCE_SAMPID

Datentyp

string

Alias
UMLS CUI [1,1]
C1299222
UMLS CUI [1,2]
C0449416

Ähnliche Modelle

GEOS - Subject - Sample Mapping

Name
Typ
Description | Question | Decode (Coded Value)
Datentyp
Alias
Item Group
pht001526
SUBJID
Item
GENEVA ID
text
C2348585 (UMLS CUI [1,1])
SAMPID
Item
Sample genotyping instance ID
text
C1285573 (UMLS CUI [1,1])
C0600091 (UMLS CUI [1,2])
C0370003 (UMLS CUI [1,3])
SAMP_SOURCE
Item
Source repository where samples originate
string
C0449416 (UMLS CUI [1,1])
C0370003 (UMLS CUI [1,2])
SOURCE_SAMPID
Item
Sample ID used in the Source Repository
string
C1299222 (UMLS CUI [1,1])
C0449416 (UMLS CUI [1,2])

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