ID

44995

Descrição

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

Palavras-chave

  1. 23/06/2022 23/06/2022 - Dr. Christian Niklas
  2. 12/10/2022 12/10/2022 - Adrian Schulz
Titular dos direitos

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

Transferido a

23 de junho de 2022

DOI

Para um pedido faça login.

Licença

Creative Commons BY 4.0

Comentários do modelo :

Aqui pode comentar o modelo. Pode comentá-lo especificamente através dos balões de texto nos grupos de itens e itens.

Comentários do grupo de itens para :

Comentários do item para :

Para descarregar formulários, precisa de ter uma sessão iniciada. Por favor faça login ou registe-se gratuitamente.

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

GEOS - Subject - Sample Mapping

pht001526
Descrição

pht001526

GENEVA ID
Descrição

SUBJID

Tipo de dados

text

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

SAMPID

Tipo de dados

text

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

SAMP_SOURCE

Tipo de dados

string

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

SOURCE_SAMPID

Tipo de dados

string

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

Similar models

GEOS - Subject - Sample Mapping

Name
Tipo
Description | Question | Decode (Coded Value)
Tipo de dados
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])

Use este formulário para feedback, perguntas e sugestões de aperfeiçoamento.

Campos marcados com * são obrigatórios.

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