The UCLA ATLAS Community Health Initiative represents a unique, diverse collection of clinical and genomic data from patients across the UCLA Health system. As of October 2021, more than 95,600 patients across the UCLA Health have been consented. The overall opt-in rate is 68.3%. Over 41,100 samples have been successfully genotyped and uploaded to the cloud for researchers’ access.
De-identified clinical and genotype data from UCLA ATLAS Community Health Initiative 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 UCLA ATLAS Community Health Initiative genotype data (VCF files), may be accessed in GenomicsDB*, a repository for genomic data, via Scala (Zeppelin). To access the data, please email - Will Weil at [email protected] or Maryam Ariannejad at [email protected]. If you would like to review the Clinical Data Dictionary, click here.
*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.
All requests for DNA samples of UCLA ATLAS Community Health Initiative patients will be sent to the Prioritization Scientific Committee for review. Upon approval, the Principle Investigator will be contacted. The UCLA Neuroscience Genomic Core Lab charges UCLA Principle Investigator a nominal fee for its processing services. Please contact Dr. Clara Magyar - [email protected] for more details. Click here to submit a request.