ID
45917
Description
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.
Lien
Mots-clés
Versions (1)
- 31/01/2024 31/01/2024 - Simon Heim
Détendeur de droits
Daniel Woo, MD, MS, University of Cincinnati College of Medicine, Cincinnati, OH, USA
Téléchargé le
31 janvier 2024
DOI
Pour une demande vous connecter.
Licence
Creative Commons BY 4.0
Modèle Commentaires :
Ici, vous pouvez faire des commentaires sur le modèle. À partir des bulles de texte, vous pouvez laisser des commentaires spécifiques sur les groupes Item et les Item.
Groupe Item commentaires pour :
Item commentaires pour :
Vous devez être connecté pour pouvoir télécharger des formulaires. Veuillez vous connecter ou s’inscrire gratuitement.
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).
Similar models
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).
C0680251 (UMLS CUI [1,2])
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])