ID
45199
Descrição
Principal Investigator: David Carey, PhD, Weis Center for Research, Geisinger Clinic, Danville, PA, USA MeSH: https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000381 A research cohort of adult Geisinger Clinic patients was enrolled from community-based primary care clinics of the Geisinger Health System. Patients were eligible for enrollment if they were a primary care patient of a Geisinger Clinic physician and were scheduled for a non-emergent clinic visit. All participants provided written informed consent and HIPAA authorization. Consenting patient agreed to provide blood samples for broad biomedical research use, and permission to access data in their Geisinger electronic medical record for research. The enrollment rate was 90% of patients approached. The demographics of the cohort approximate those of the Geisinger Clinic outpatient population. Research blood samples were collected during an outpatient clinical phlebotomy encounter. Research blood samples are coded and stored in a central biorepository. Samples are linkable to clinical data in a de-identified manner for research via an IRB-approved data broker process. For genomic analysis, DNA is extracted from EDTA-anticoagulated whole blood. For the initial eMERGE Geisinger eGenomic Medicine (GeM) genotyping project, a subset of 1,232 unique samples were genotyped using Illumina HumanOmniExpress-12 v1.0 arrays, and used as population controls for other Geisinger Clinic case cohorts, including abdominal aortic aneurysm and gastric bypass surgery cases. These samples were selected from a larger subset of approximately 6,000 MyCode DNA samples using a partial matching algorithm that included age, sex, and body mass index as variables.
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Versões (2)
- 18/08/2022 18/08/2022 - Simon Heim
- 12/10/2022 12/10/2022 - Adrian Schulz
Titular dos direitos
David Carey, PhD, Weis Center for Research, Geisinger Clinic, Danville, PA, USA
Transferido a
12 de outubro de 2022
DOI
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Licença
Creative Commons BY 4.0
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dbGaP phs000381 Geisinger eMERGE - MyCode Project
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent Information
- Subject - Sample - Mapping
- The dataset provides medical backgroud information with regard to diagnoses of: abdominal aortic aneurysm, peripheral aortic disease, arterial dissection; blood pressure measurements, and wether or not subjects had undergone bariatric surgery. Data of weight/height, use of tobacco and alcohol, and general socio-demographic information is also provided. All subjects are considered to be control subjects.
- Sample - Attribute Information (analyte type, body area that is the source etc.).
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Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- Subject - Consent Information
- Subject - Sample - Mapping
- The dataset provides medical backgroud information with regard to diagnoses of: abdominal aortic aneurysm, peripheral aortic disease, arterial dissection; blood pressure measurements, and wether or not subjects had undergone bariatric surgery. Data of weight/height, use of tobacco and alcohol, and general socio-demographic information is also provided. All subjects are considered to be control subjects.
- Sample - Attribute Information (analyte type, body area that is the source etc.).
C0001675 (UMLS CUI [1,2])
C0583784 (UMLS CUI [1,3])
C0021430 (UMLS CUI [1,4])
C1277698 (UMLS CUI [1,5])
C0021430 (UMLS CUI [1,2])