ID

44995

Description

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

Keywords

  1. 6/23/22 6/23/22 - Dr. Christian Niklas
  2. 10/12/22 10/12/22 - Adrian Schulz
Copyright Holder

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

Uploaded on

June 23, 2022

DOI

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License

Creative Commons BY 4.0

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

GEOS - Pedigree Information

pht001525
Description

pht001525

Family ID
Description

FAMID

Data type

text

Alias
UMLS CUI [1,1]
C0015576
UMLS CUI [1,2]
C2348585
Subject ID
Description

SUBJID

Data type

text

Alias
UMLS CUI [1,1]
C2348585
Father ID
Description

FATHER

Data type

text

Alias
UMLS CUI [1,1]
C0015671
UMLS CUI [1,2]
C2348585
Mother ID
Description

MOTHER

Data type

text

Alias
UMLS CUI [1,1]
C0026591
UMLS CUI [1,2]
C2348585
Subject's sex
Description

SEX

Data type

text

Alias
UMLS CUI [1,1]
C0079399
Pedigree note
Description

PED.NOTE

Data type

text

Alias
UMLS CUI [1,1]
C0030761
UMLS CUI [1,2]
C1317574

Similar models

GEOS - Pedigree Information

Name
Type
Description | Question | Decode (Coded Value)
Data type
Alias
Item Group
pht001525
FAMID
Item
Family ID
text
C0015576 (UMLS CUI [1,1])
C2348585 (UMLS CUI [1,2])
SUBJID
Item
Subject ID
text
C2348585 (UMLS CUI [1,1])
Item
Father ID
text
C0015671 (UMLS CUI [1,1])
C2348585 (UMLS CUI [1,2])
Code List
Father ID
CL Item
Unknown (0)
Item
Mother ID
text
C0026591 (UMLS CUI [1,1])
C2348585 (UMLS CUI [1,2])
Code List
Mother ID
CL Item
Unknown (0)
Item
Subject's sex
text
C0079399 (UMLS CUI [1,1])
Code List
Subject's sex
CL Item
Male (1)
CL Item
Female (2)
Item
Pedigree note
text
C0030761 (UMLS CUI [1,1])
C1317574 (UMLS CUI [1,2])
Code List
Pedigree note
CL Item
Ambiguous half-sib-like relationship (i.e. half-sib, avuncular, or grandparent-grandchild) (HS-like)
CL Item
Not Applicable (NA)

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