Context

Genome-wide association studies involve searching for a statistical correlation between genetic variation and a phenotype trait. These types of studies have increased significantly over the past ten years for medical applications as well as in agronomics for plant and animal breeding. However, conventional studies only focus on the individual effects of each genetic variation, whereas interaction phenomena between several genetic variations play a major role (notion of epistasis). It is not currently possible to detect these interaction phenomena exhaustively on a genome-wide scale due to the significant increase in the number of tests generated and the required calculation time.

Benefits

This computer-based solution uses original algorithms and would make it possible to detect interaction phenomena between several genetic variations exhaustively across the entire genome in a reasonable amount of time.

Applications

- Variety and animal selection (identifying new genetic variations associated with desirable agronomic traits to optimize selection)
- Human health (personalized and/or predictive medicine)