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ALPHA-CENTAURI
12 October 2019
BLISS / Adapt2Pulv
30 July 2019

HPCG

HPCG

Computer system for detecting interactions between genes

Technologie commercialisée

Technology marketed by a partner

IP

  • Software

ESTABLISHMENT(S)

  • CNRS
  • University of Montpellier
  • Montpellier SupAgro
  • INRA

LABORATORY(IES)

  • Plant Biochemistry and Molecular Physiology (B&PMP)
  • Alexander Grothendieck Institute of Montpellier (IMAG)

KEYWORDS

  • Genetic variations

Co-financé par

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)

MARKETED TECHNOLOGY I Genetic variations

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