ID
45917
Beskrivning
Principal Investigator: Daniel Woo, MD, MS, University of Cincinnati College of Medicine, Cincinnati, OH, USA MeSH: Intracerebral Hemorrhage https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000874 GERFHS is a population-based, case-control study of hemorrhagic stroke in the Greater Cincinnati/Northern Kentucky region. Cases are recruited from within 50 miles of the University of Cincinnati and population-based controls are matched to cases by age (+/- 5 years), race and gender from the same population as cases. All study participants are of self-reported non-Hispanic Caucasian ethnicity and the data show consistency with the principal component projections. The current submission includes genome wide genotyping on a subset of these cases and controls.
Länk
Nyckelord
Versioner (1)
- 2024-01-31 2024-01-31 - Simon Heim
Rättsinnehavare
Daniel Woo, MD, MS, University of Cincinnati College of Medicine, Cincinnati, OH, USA
Uppladdad den
31 januari 2024
DOI
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Licens
Creative Commons BY 4.0
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dbGaP phs000874 Genetic and Environmental Risk Factors for Hemorrhagic Stroke (GERFHS)
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent - Affection Status Information
- Subject - Sample Mapping
- The dataset provides information about the type of stroke diagnosed, presence/absensence of hypertension and hypertension treatment, and basic socio-demographic information (age, gender).
- Sample - Attribute Information (Including Principle Component Values).
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Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent - Affection Status Information
- Subject - Sample Mapping
- The dataset provides information about the type of stroke diagnosed, presence/absensence of hypertension and hypertension treatment, and basic socio-demographic information (age, gender).
- Sample - Attribute Information (Including Principle Component Values).
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C0017446 (UMLS CUI [1,2])
C0872291 (UMLS CUI [1,3])
C0041740 (UMLS CUI [1,4])
C3714660 (UMLS CUI [1,2])
C0006118 (UMLS CUI [1,3])
C0015127 (UMLS CUI [1,4])
C0019080 (UMLS CUI [1,5])
C0021430 (UMLS CUI [1,2])
C0030701 (UMLS CUI [1,3])