Allergy
Carolyn H. Baloh, MD
Clinical Instructor
Brigham & Women's Hospital, Harvard, Immune Tolerance Network
Boston, Massachusetts, United States
Rasika Mathias, ScD
Professor of Medicine
Johns Hopkins
Baltimore, Maryland, United States
James Perry, PhD
Assistant Professor
University of Maryland
Baltimore, Maryland, United States
Intro: Genome wide association studies of the Learning Early about Peanut (LEAP) study participants has resulted in multiple publications and a vast amount of data remains to be interrogated. Given the quantity of data, we determined that there was a need to make this information publicly available to query in a way that is “scientist friendly”.
Methods: A new online platform, the Omics Analysis, Search, and Information System (OASIS), was developed to provide a user-friendly platform for interrogating LEAP GWAS data. OASIS integrates this data with functional annotations from GTEx and a wealth of bioinformatics resources. On demand analyses including visualization of linkage disequilibrium and Manhattan plots can easily be generated.
Results: OASIS can be queried in an unbiased fashion or for genes or single nucleotide polymorphisms (SNP) of interest. To illustrate targeted use of the database, a query for CMA1, a gene previously associated with eczema and IgE levels in eczema, was performed. The peak association for CMA1 was SCORAD at 12 months study duration (OR=15 and p< 0.001). CMA1 was also associated with peanut-specific IgG4 at multiple timepoints suggesting that CMA1 may be associated with development of blocking antibodies. CMA1 appeared to have a relationship to peanut allergy status at 60 months in those avoiding peanut (OR 9.2, p=0.099). CMA1 may not only be associated with total IgE levels in patients with eczema, but also in clinical food allergy status.
Conclusions: OASIS is a “scientist friendly” web-based system for mining genetic associations in the LEAP GWAS dataset.