Project Details

PGine: Py/Bioconda software package for calculation of polygenic risk score in plants

Project Period: 1. 3. 2023 – 28. 2. 2024

Project Type: grant

Code: FEKT/FIT-J-23-8274

Agency: Brno University of Technology

Program: Vnitřní projekty VUT

Type

grant

Abstract

The most important scientific challenges connect to climate change. Prediction algorithms take an important role, including improving plant breeding according to new environmental conditions. Therefore, this project focuses on calculating human disease probability based on genotype information — polygenic risk score. This project's main goal is to adapt these algorithms to plant data in functional software. The software can be used to bring new insights into plant breeding and thus uncover possible solutions to the climate crisis.

Team members

Schwarzerová Jana, Ing. et Ing., MSc (UBMI) – research leader
Hurta Martin, Ing. (DCSY)
Provazník Valentine, prof. Ing., Ph.D. (UBMI)
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY)

Publications

2023

HURTA, M.; SCHWARZEROVÁ, J.; NAGELE, T.; WECKWERTH, W.; PROVAZNÍK, V.; SEKANINA, L. Utilizing Genetic Programming to Enhance Polygenic Risk Score Calculation. In 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2023). Istanbul: Institute of Electrical and Electronics Engineers, 2023. p. 3782-3787. ISBN: 979-8-3503-3748-8. Detail
HURTA, M.; SCHWARZEROVÁ, J.; PROVAZNÍK, V.; WECKWERTH, W.; WALTHER, D.; SEKANINA, L. Utilizing Cartesian Genetic Programming for Efficient Polygenic Risk Score Calculation in Plants. Program and Abstract Book: Swedish Bioinformatics Workshop 2023. Stockholm: 2023. p. 49-49. Detail