Visualizing Allergy Syndromes

The goal of this project was to help discover novel insights about the genetic basis of the allergy syndromes by visualizing existing data. The lack of an distinct cause‑effect relationship between certain genes and allergy manifestations is one of the main challenges of allergic disease research. In particular, genome‑wide association studies – or GWAS – have been employed by bioinformaticians to try and determine
the genetic cause of allergies. This method is useful because it it is capable of evaluating the connection between certain genes or loci and observed physiological traits. While a GWAS study provides an extraordinary amount of biological data, understanding it in a meaningful way is difficult, thus making it hard to discover novel insights. To avoid the hairy ball problem, we wanted to tackle this problem by breaking down a large data set into manageable and interactive pieces using bubble charts