The ATLAS project represents a unique, diverse collection of clinical and genomic data from patients across the UCLA Health system. As of August 2020, more than 70,000 patients across the UCLA Health have been consented. The overall opt-in rate is 65%. Over 27,000 samples have been successfully genotyped and uploaded to the cloud for researchers’ access.
De-identified clinical and genotype data from ATLAS patients are available for researchers upon request at no cost. This data can be accessed via the Discovery Data Repository (DDR)* in the Azure cloud. Raw plink files are linked to the clinical data by a sample-id. To request access to DDR submit a ticket here.
*Discovery Data Repository(DDR) is built upon a limited data set containing de-identified electronic health record data. It includes a selection of tools (Azure SQL Data Warehouse, Jupyter, Tableau), data sets (clinical data, genomics, waveform, devices and other Internet of Things) and technologies (Azure Platform, Linux, Citrix) to support growing data discovery requirements for UCLA Health Sciences and affiliated researchers across the UCLA campus.
De-identified ATLAS genotype data (VCF files), may be accessed in GenomicsDB*, a repository for genomic data, via Scala (Zeppelin). To access the data, click here to fill out the data/sample request form. You will be contacted within three business days. If you have any questions, please feel free to reach out to IPH Project Coordinator, Rami Kranfli at rkranfli@mednet.ucla.edu.
*GenomicsDB is an Open Source Application that Stores Data in Sparse Arrays.
The UCLA Clinical and Translation Science Institue (CTSI) handles all requests for identified data. Click here to request a consult online.
Sample Request
All requests for DNA samples of ATLAS patients will be sent to the prioritization committee for review. Upon approval, the investigator is contacted by the UCLA Biobank for next steps. Click here to submit a request.
The UCLA Biobank charges UCLA investigators a nominal fee for its services. Please contact Dr. Clara Magyar - cmagyar@mednet.ucla.edu for more details.
