ID
45903
Description
Principal Investigator: Dan M. Roden, MD, Vanderbilt University, Nashville, TN, USA MeSH: Myocardial Revascularization,Myocardial Infarction https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000963 Coronary heart disease (CHD) is an important public health problem in developed countries. Statins are effective in the prevention and treatment of CHD; nevertheless, many patients receiving statins still suffer cardiovascular events (CV) such as heart attack. Identifying genetic variants responsible for differential clinical responses to statins will not only allow individual patients at high residual risk to be targeted for additional therapies, but also will define new biologic pathways contributing to statin response, and thus new targets for future therapies. Accordingly, the goal of this study is to identify genetic variants associated with clinical CV in patients receiving statins. Subjects identified for study are of European descent and include 1718 subjects with CV while on statins (cases) and 4172 subjects without CV while on statins (controls). Key research resources utilized in this effort include VanderbiltD's BioVU DNA databank and associated Synthetic Derivative database of clinical information, and software tools developed to identify drugs and clinical events using Electronic Health Record-derived structured and unstructured ("free text") data. Most cases and controls identified include three data types: ICD-9 codes, medication regimens, and medical test results. Genotyping, using IlluminaD's Infinium HumanOmniExpressExome BeadChip (OmniExpressExome), was performed by the RIKEN Integrative Medical Sciences Center (IMS) and supported by the Pharmacogenomics Research Network (PGRN)-RIKEN IMS Global Alliance.
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Versions (1)
- 13/12/2023 13/12/2023 - Simon Heim
Détendeur de droits
Dan M. Roden, MD, Vanderbilt University, Nashville, TN, USA
Téléchargé le
13 décembre 2023
DOI
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Licence
Creative Commons BY 4.0
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dbGaP phs000963 PGRN-RIKEN:Genetic Determinants of Cardiovascular Events while on Statins
This data table contains a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. The data table also includes sample use.
- StudyEvent: SEV1
- Eligibility Criteria
- The subject consent file includes subject IDs, consent information, and affection status for coronary heart disease.
- This data table contains a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. The data table also includes sample use.
- This subject phenotype table contains subject ID, sex, race, weight, height, BMI, MI and MACE events, and age at the first MI and first MACE events.
- This sample attributes table contains sample ID, analyte type, tumor status and histological type.
Similar models
This data table contains a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. The data table also includes sample use.
- StudyEvent: SEV1
- Eligibility Criteria
- The subject consent file includes subject IDs, consent information, and affection status for coronary heart disease.
- This data table contains a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. The data table also includes sample use.
- This subject phenotype table contains subject ID, sex, race, weight, height, BMI, MI and MACE events, and age at the first MI and first MACE events.
- This sample attributes table contains sample ID, analyte type, tumor status and histological type.
C0042153 (UMLS CUI [1,2])
C0752046 (UMLS CUI [1,3])
C1449575 (UMLS CUI [1,4])
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