ABOUT STUDIES

Overview

BioData Catalyst powered by Seven Bridges hosts 47 TOPMed studies which you can use in your genomics analyses and are organized into the following categories:

• Heart disease
• Lung disease
• Blood disorder
• Sleep disorder

Heart disease

The following heart disease related studies are available:

• Framingham Cohort
• NHLBI TOPMed: Genomic Activities such as Whole Genome Sequencing and Related Phenotypes in the Framingham Heart Study
  Jackson Heart Study (JHS) Cohort
  
• NHLBI TOPMed Jackson Heart Study
  
  Multi-Ethnic Study of Atherosclerosis (MESA) Cohort
  
• NHLBI TOPMed: MESA and MESA Family AA-CAC
  
  Women's Health Initiative Clinical Trial and Observational Study
  
• NHLBI TOPMed: Women's Health Initiative (WHI)
  
• NHLBI TOPMed: Cleveland Clinic Atrial Fibrillation (CCAF) Study
  
  Cardiovascular Health Study (CHS) Cohort: an NHLBI-funded observational study of risk factors for cardiovascular disease in adults 65 years or older
  
• NHLBI TOPMed: Trans-Omics for Precision Medicine (TOPMed) Whole Genome Sequencing Project: Cardiovascular Health Study
  Massachusetts General Hospital (MGH) Atrial Fibrillation Study
  
• NHLBI TOPMed: Massachusetts General Hospital (MGH) Atrial Fibrillation Study
  
  Heart and Vascular Health Study (HVH)
  
• NHLBI TOPMed: Heart and Vascular Health Study (HVH)
  
  Atherosclerosis Risk in Communities (ARIC) Cohort
  
  NHLBI TOPMed: Trans-Omics for Precision Medicine (TOPMed) Whole Genome Sequencing Project: ARIC
  Genetic Epidemiology Network of Salt Sensitivity (GenSalt)
  
• NHLBI TOPMed: Genetic Epidemiology Network of Salt Sensitivity (GenSalt)
  
  GeneSTAR (Genetic Study of Atherosclerosis Risk) NextGen Consortium: Functional Genomics of Platelet Aggregation Using iPS and Derived Megakaryocytes
• NHLBI TOPMed: GeneSTAR (Genetic Study of Atherosclerosis Risk)
  
  Genetic Epidemiology Network of Arteriopathy (GENOA)
  
• NHLBI TOPMed: Genetic Epidemiology Network of Arteriopathy
  
• NHLBI TOPMed: San Antonio Family Heart Study
  
  NHLBI TOPMed: Genetics of Cardiometabolic Health in the Amish
  
• NHLBI TOPMed: Partners HealthCare Biobank
  
• NHLBI TOPMed:The Vanderbilt Atrial Fibrillation Registry
  
• NHLBI TOPmed: Novel Risk Factors for the Development of Atrial Fibrillation in Women
  
• NHLBI TOPMed: The Vanderbilt AF Ablation Registry
  
• NHLBI TOPMed: Diabetes Heart Study (DHS) African American Coronary Artery Calcification (AA CAC)
  
• NHLBI TOPMed: HyperGEN - Genetics of Left Ventricular (LV) Hypertrophy
  
• NHLBI TOPMed: Rare Variants for Hypertension in Taiwan Chinese (THRV)
  
• NHLBI TOPMed: Genome-wide Association Study of Adiposity in Samoans
  
• NHLBI TOPMed: Whole Genome Sequencing of Venous Thromboembolism (WGS of VTE)
  
• NHLBI TOPMed - NHGRI CCDG: Hispanic Community Health Study/Study of Latinos
• NHLBI TOPMed: Defining the time-dependent genetic and transcriptomic responses to cardiac injury among patients with arrhythmias
• NHLBI TOPMed - NHGRI CCDG: The Johns Hopkins University School of Medicine Atrial Fibrillation Genetics Study
• Coronary Artery Risk Development in Young Adults
• NHLBI TOPMed - NHGRI CCDG: The BioMe Biobank at Mount Sinai

Lung disease

The following lung disease related studies are available:

• Genetic Epidemiology of COPD (COPDGene) Funded by the National Heart, Lung, and Blood Institute
• NHLBI TOPMed: Genetic Epidemiology of COPD
  
  Genes-Environments and Admixture in Latino Asthmatics (GALA II) Study
  
• NHLBI TOPMed - NHGRI CCDG: Genes-Environments and Admixture in Latino Asthmatics (GALA II)
• NHLBI TOPMed: The Genetics and Epidemiology of Asthma in Barbados
  
• NHLBI TOPMed: Boston Early-Onset COPD Study
  
• NHLBI TOPMed: Study of African Americans, Asthma, Genes and Environment (SAGE)
  
• NHLBI TOPMed: The Genetic Epidemiology of Asthma in Costa Rica
  
• NHLBI TOPMed: African American Sarcoidosis Genetics Resource
  
• NHLBI TOPMed: Severe Asthma Research Program
• NHLBI TOPMed: Childhood Asthma Management Program

Blood disorder

The following blood disorder related studies are available:

• NHLBI TOPMed: GOLDN Epigenetic Determinants of Lipid Response to Dietary Fat and Fenofibrate
• NHLBI TOPMed: Recipient Epidemiology and Donor Evaluation Study-III Brazil Sickle Cell Disease Cohort
• NHLBI TOPMed: Recipient Epidemiology and Donor Evaluation Study-III Brazil Sickle Cell Disease Cohort
• NHLBI TOPMed: Pulmonary Hypertension and the Hypoxic Response in SCD

Sleep disorder

The following sleep disorder related studies are available:

• [NHLBI Cleveland Family Study (CFS) Candidate Gene Association Resource (CARe)](doc:phs000284-nhlbi-cleveland-family-study-cfs-candidate-gene-association-resource-care
• NHLBI TOPMed: The Cleveland Family Study (CFS)

Metadata for studies on BioData Catalyst powered by Seven Bridges

Metadata is data about the genomic information carried by files. It is data about the time, place, and manner in which the genomic data was obtained as well as the genomic data's source and type. You can use metadata on the Platform to browse and query studies. Metadata describing studyon the Platform consist of properties which describe the entities of each study.

Entities are particular resources with UUIDs and IDs, such as files, subjects, samples, and cell lines. These can be the subject of your query.

Properties can either describe an entity or relate that entity to another entity. For instance, properties include an entity's sex, file type, or study disease.

You can view the metadata schema, which includes a list of entities and their related properties. Learn more below about how to start working with studies via their metadata on the visual interface.

Explore studies using the visual interface

The Data Browser allows you to explore studies using an interactive graphical interface. Start by building queries to filter data using various metadata attributes. Then, access these files for further analysis.

To access the Data Browser, click Data on the top navigation bar and select Data Browser. You'll see the screen below. Here, you can selec a study to query.

Take advantage of pre-built example queries or build your own from scratch using metadata entities and properties. Learn more about queries in the Data Browser.

Once you've located specific files using a Data Browser query, you can access this data for further analysis.