New Epistasis Disease Atlas Reveals Complex Genetic Interactions

After seven years of intensive research, inter-university research team releases the Epistasis Disease Atlas (EDA). This innovative online tool offers detailed insights into the genetic causes of eight major diseases, including Alzheimer’s and diabetes.

What is the Epistasis Disease Atlas?

The Epistasis Disease Atlas is a comprehensive database focused on epistatic interactions. The EDA not only examines individual genes but also analyzes how groups of genes can work together to create complex disease patterns. The diseases studied so far include Alzheimer’s, rheumatoid arthritis, bipolar disorder, coronary heart disease, inflammatory bowel disease (IBD), type 1 diabetes, type 2 diabetes, and hypertension. Through a user-friendly R-Shiny app, this data can be searched, visualized, and analyzed. The platform integrates numerous external databases and tools that provide additional information about the genetic interactions.

The NeEDL Algorithm

At the heart of the EDA is the newly developed NeEDL algorithm (network-based epistasis detection via local search). This algorithm is based on quantum computing and specializes in identifying higher-order interactions between genetic variations, specifically single nucleotide polymorphisms (SNPs). While traditional methods often only consider pairs of SNPs, NeEDL allows for the analysis of larger groups of SNPs, potentially yielding more detailed insights.

Who is the EDA for?

The Epistasis Disease Atlas is designed for scientists, medical professionals, and anyone interested in learning more about the complex genetic mechanisms behind diseases and discovering potential new therapeutic approaches.

Discover the Atlas

For more information and access to the Epistasis Disease Atlas, please visit: Epistasis Disease Atlas