Modelos de dados selecionados

Deve ter sessão iniciada para selecionar vários modelos de dados e para os transferir ou analisar.

2 Resultados da pesquisa.
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dbGaP phs000514 Identification of Genes Involved in Familial Coronary Artery Disease - Eligibility

- 13/12/2022 - 5 Formulários, 1 Grupo de itens, 10 Elementos de dados, 1 Idioma
Grupo de itens: IG.elig
Principal Investigator: Hagit Baris, MD, Rabin Medical Center, Petah Tikva, Israel MeSH: Coronary Artery Disease,Atherosclerosis,Heart Diseases https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000514 Studying families with multiple cases of coronary artery disease (CAD) or with early onset CAD in order to identify new genes involved in CAD in an autosomal dominant manner. After identifying these genes in families that pass on CAD in Mendelian inheritance, we want to pursue their role in the pathogenesis of CAD and their contribution in the general population.

pht002837.v1.p1

1 Grupo de itens 3 Elementos de dados

pht002838.v1.p1

1 Grupo de itens 3 Elementos de dados

pht002839.v1.p1

1 Grupo de itens 2 Elementos de dados

pht002840.v1.p1

1 Grupo de itens 2 Elementos de dados

dbGaP phs000974 NHLBI TOPMed: Whole Genome Sequencing and Related Phenotypes in the Framingham Heart Study - Eligibility

- 01/12/2023 - 4 Formulários, 1 Grupo de itens, 1 Elemento de dados, 1 Idioma
Grupo de itens: IG.elig
Principal Investigator: Vasan Ramachandran, Department of Medicine, Boston University School of Medicine, Boston, MA, USA MeSH: Cardiovascular Diseases,Atherosclerosis,Atrial Fibrillation,Death, Sudden, Cardiac,Diabetes Mellitus, Type 2,Heart Failure,Blood Pressure,Hypertension,Body Mass Index,Adiposity,Lipids,Pulmonary Disease, Chronic Obstructive,Renal Insufficiency, Chronic,Stroke,Osteoporosis,Risk Factors,Biological Markers,Biomarkers, Pharmacological https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000974 The Framingham Heart Study (FHS) is a prospective cohort study of 3 generations of subjects who have been followed up to 65 years to evaluate risk factors for cardiovascular disease. Its large sample of ~15,000 men and women who have been extensively phenotyped with repeated examinations make it ideal for the study of genetic associations with cardiovascular disease risk factors and outcomes. DNA samples have been collected and immortalized since the mid-1990s and are available on ~8000 study participants in 1037 families. These samples have been used for collection of GWAS array data and exome chip data in nearly all with DNA samples, and for targeted sequencing, deep exome sequencing and light coverage whole genome sequencing in limited numbers. Additionally, mRNA and miRNA expression data, DNA methylation data, metabolomics and other 'omics data are available on a sizable portion of study participants. This project will focus on deep whole genome sequencing (mean 30X coverage) in ~4100 subjects and imputed to all with GWAS array data to more fully understand the genetic contributions to cardiovascular, lung, blood and sleep disorders. Comprehensive phenotypic and pedigree data for study participants are available through dbGaP phs000007.

pht004909.v3.p3

1 Grupo de itens 2 Elementos de dados

pht004910.v4.p3

1 Grupo de itens 2 Elementos de dados

pht004911.v3.p3

1 Grupo de itens 9 Elementos de dados

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