The BioData Catalyst ecosystem hosts several datasets from the NIH NHLBI Collaborating Network of Networks for Evaluating COVID-19 and Therapeutic Strategies (CONNECTS) program. These COVID-19 related studies follow the guidelines for implementing common data elements (CDEs) and for de-identifying dates, ages, and free text fields. For more information about these efforts, you can view the CDE Manual and De-Identification Guidance documents on the CONNECTS COVID-19 Therapeutic Trial Common Data Elements webpage.
Table of COVID-19 Studies Included in the CONNECTS Program Available in PIC-SURE
A Multicenter, Adaptive, Randomized Controlled Platform Trial of the Safety and Efficacy of Antithrombotic Strategies in Hospitalized Adults with COVID-19
ACTIV4a
phs002694
COVID-19 Positive Outpatient Thrombosis Prevention in Adults Aged 40-80
ACTIV4b
phs002710
Clinical-trial of COVID-19 Convalescent Plasma in Outpatients
C3PO
phs002752
BioData Catalyst Powered by PIC-SURE has integrated clinical and genomic data from a variety of heart, lung, blood, and sleep related datasets. These include NHLBI Trans-Omics for Precision Medicine (TOPMed) and TOPMed related studies, BioLINCC datasets, and COVID-19 datasets.
View a summary of the data you have access to by viewing the Data Access Table.
This table displays information about the study and associated data, including the full and abbreviated name of the study, study design and focus, the number of clinical variables, participants, and samples sequenced, additional information with helpful links, consent group information, and the dbGaP accession number (or phs number). You are also able to see which studies you are authorized to access in the Access column of the table. For information from dbGaP on submitting a data access request, refer to Tips for Preparing a Successful Data Access Request documentation. Note that studies with a sickle cell disease focus contain links to the Cure SCi Metadata Catalog for additional information.
You can also check the data you have access to by going to the BioData Catalyst Data Access page on the BioData Catalyst website and clicking Check My Access.
The BioData Catalyst ecosystem hosts several datasets from the NHLBI Trans-Omics for Precision Medicine (TOPMed) program. The PIC-SURE platform has integrated the clinical and genomic data from all studies listed in the Data Access Dashboard. Through the ingestion process, occasionally PIC-SURE will ingest phenotypic data for the TOPMed studies prior to the genomic data.
There are limited amounts of harmonized data available at this time. The TOPMed Data Coordinating Center (DCC) curation team has identified 44 variables that are shared across 17 NHLBI studies and normalized the participant values for these variables.
The 44 harmonized variables available are listed in the table in Appendix 2. For more information on this initiative, you can view the additional documentation from the TOPMed DCC GitHub repository or on the NHLBI Trans-Omics for Precision Medicine website.
Atherosclerosis Risk in Communities Study
ARIC
phs000280
Cardiovascular Health Study
CHS
phs000287
Cleveland Family Study
CFS
phs000284
Coronary Artery Risk Development in Young Adults Study
CARDIA
phs000285
Epidemiology of Asthma in Costa Rica Study
CRA
phs000988
Framingham Heart Study
FHS
phs000007
Genetic Epidemiology Network of Arteriopathy
GENOA
phs001238
Genetic Epidemiology of COPD
COPDGene
phs000179
Genetics of Cardiometabolic Health in Amish
AMISH
phs000956
Genome-Wide Association Study of Venous Thrombosis Study
MAYOVTE
phs000289
Heart and Vascular Health Study
HVH
phs001013
Hispanic Community Health Study - Study of Latinos
HCHS-SOL
phs000810
Jackson Heart Study
JHS
phs000286
Multi-Ethnic Study of Atherosclerosis
MESA
phs000209
Study of Adiposity in Samoans
SAS
phs000914
Women’s Health Initiative WHI
WHI
phs000200
The BioData Catalyst ecosystem hosts several datasets from the NIH NHLBI Biologic Specimen and Data Repository Information Coordinating Center (BioLINCC). To access the BioLINCC studies, you must request access through dbGaP even if you have authorization from BioLINCC.