Genetics

Oral

The 10,000 Immunomes Project: A Data Resource of Human Immunology

Friday, June 16
3:15 PM - 3:30 PM

Despite increasing appreciation of the promise of clinical immunology in many areas of medicine, including cancer therapy, metabolism, and neurobiology, to date there is no large, representative data resource for the multitude of assays in human immunology. The ability to translate observations from model organisms to humans, the generation of new basic science hypotheses, and the interpretation of seldom-measured analytes are currently hampered by the lack of a reference human 'immunome.' The 10,000 Immunomes Project aims to generate such a reference by compiling and harmonizing the measurements available on nearly 10,000 control subjects from the Immunology and Data Analysis Portal (ImmPort, www.immport.org), an archival repository for immunological research and clinical trials funded by NIAID. Data in the resource include ELISA, Luminex, flow cytometry, CyTOF, gene expression, HAI titers, clinical lab tests, and others. These data will be available through a web interface, allowing researchers to view, analyze, and download data across the 84 studies that contribute to the dataset. Our presentation will describe the demographics of the 10,000 Immunomes cohort, our data curation and standardization process, and the datasets we have successfully harmonized, including gene expression, ELISA, Luminex, and clinical lab tests. We will also present preliminary meta-analyses of these analytes. For example, we find that many soluble protein measurements vary significantly with age, gender, or ethnicity, implying that taking these variables into consideration will be important for the practice of clinical immunology and the advancement of precision medicine.

Kelly Zalocusky

University of California San Francisco

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Matthew Kan

University of California San Francisco

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Sanchita Bhattacharya

University of California San Francisco

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Atul Butte

University of California San Francisco

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The 10,000 Immunomes Project: A Data Resource of Human Immunology



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