ID
45779
Descrição
Principal Investigator: Stacey Gabriel, PhD, Broad Institute, Boston, MA, USA MeSH: Myocardial Infarction https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001101 The Malmo Diet and Cancer Study (MDCS) is a community-based prospective epidemiologic cohort of 28,449 subjects who were recruited for baseline examination between 1991 and 1996. From this cohort, 6103 subjects were randomly selected to participate in a cardiovascular cohort (MDCSCC), which seeks to investigate risk factors for cardiovascular disease. This study is a subset of those samples. All exome sequencing was performed at the Broad Institute of Harvard and MIT; samples sequence capture was performed using Illumina's ICE Capture reagent and sequencing was performed on an Illumina HiSeq 2000 or 2500.
Link
Palavras-chave
Versões (1)
- 20/06/2023 20/06/2023 - Chiara Middel
Titular dos direitos
Stacey Gabriel, PhD, Broad Institute, Boston, MA, USA
Transferido a
20 de junho de 2023
DOI
Para um pedido faça login.
Licença
Creative Commons BY 4.0
Comentários do modelo :
Aqui pode comentar o modelo. Pode comentá-lo especificamente através dos balões de texto nos grupos de itens e itens.
Comentários do grupo de itens para :
Comentários do item para :
Para descarregar formulários, precisa de ter uma sessão iniciada. Por favor faça login ou registe-se gratuitamente.
dbGaP phs001101 MIGen_ExS: MDC
This subject consent file contains subject IDs, consent group information, and affection status for subjects who developed cardiovascular events, which is defined as myocardial infarction, coronary revascularization, or stroke. Controls were matched to cases for age (+/- 2 years), sex, smoking status, type 2 diabetes status.
- StudyEvent: SEV1
- Eligibility Criteria
- This subject consent file contains subject IDs, consent group information, and affection status for subjects who developed cardiovascular events, which is defined as myocardial infarction, coronary revascularization, or stroke. Controls were matched to cases for age (+/- 2 years), sex, smoking status, type 2 diabetes status.
- This subject sample mapping file 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 data table contains sex of subject.
- This sample attributes data table includes sample analyte type.
Similar models
This subject consent file contains subject IDs, consent group information, and affection status for subjects who developed cardiovascular events, which is defined as myocardial infarction, coronary revascularization, or stroke. Controls were matched to cases for age (+/- 2 years), sex, smoking status, type 2 diabetes status.
- StudyEvent: SEV1
- Eligibility Criteria
- This subject consent file contains subject IDs, consent group information, and affection status for subjects who developed cardiovascular events, which is defined as myocardial infarction, coronary revascularization, or stroke. Controls were matched to cases for age (+/- 2 years), sex, smoking status, type 2 diabetes status.
- This subject sample mapping file 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 data table contains sex of subject.
- This sample attributes data table includes sample analyte type.
C1698493 (UMLS CUI [2,1])
C1320716 (UMLS CUI [2,2])
C1704788 (UMLS CUI [2,3])
C0027051 (UMLS CUI [2,4])
C0877341 (UMLS CUI [2,5])
C0038454 (UMLS CUI [2,6])
C0009932 (UMLS CUI [3,1])
C1708943 (UMLS CUI [3,2])
C0001779 (UMLS CUI [3,3])
C0079399 (UMLS CUI [3,4])
C1519386 (UMLS CUI [3,5])
C0011860 (UMLS CUI [3,6])
C0449438 (UMLS CUI [3,7])