Publication Details

Utilizing Genetic Programming to Enhance Polygenic Risk Score Calculation

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.
Czech title
Využití genetického programování k vylepšení výpočtu skóre polygenního rizika
Type
conference paper
Language
English
Authors
Hurta Martin, Ing. (DCSY)
Schwarzerová Jana, Ing. et Ing., MSc (UBMI)
Nägele Thomas
Weckwerth Wolfram, Prof., Dr. rer. nat.
Provazník Valentine, prof. Ing., Ph.D. (UBMI)
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY)
URL
Keywords

Polygenic risk score, genetic variations, computational biology, genetic programming

Abstract

The polygenic risk score has proven to be a valuable tool for assessing an individual's genetic predisposition to phenotype (disease) within biomedicine in recent years. However, traditional regression-based methods for polygenic risk scores calculation have limitations that can impede their accuracy and predictive power. This study introduces an innovative approach to enhance polygenic risk scores calculation through the application of genetic programming. By harnessing the power of genetic programming, we aim to overcome the limitations of traditional regression techniques and improve the accuracy of polygenic risk scores predictions. Specifically, we showed that a polygenic risk score generated through Cartesian genetic programming yielded comparable or even more robust statistical distinctions between groups that we evaluated within three independent case studies.

Published
2023
Pages
3782–3787
Proceedings
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2023)
ISBN
979-8-3503-3748-8
Publisher
Institute of Electrical and Electronics Engineers
Place
Istanbul
DOI
10.1109/BIBM58861.2023.10385615
BibTeX 
@inproceedings{BUT185638,
  author="Martin {Hurta} and Jana {Schwarzerová} and Thomas {Nägele} and Wolfram {Weckwerth} and Valentine {Provazník} and Lukáš {Sekanina}",
  title="Utilizing Genetic Programming to Enhance Polygenic Risk Score Calculation",
  booktitle="2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2023)",
  year="2023",
  pages="3782--3787",
  publisher="Institute of Electrical and Electronics Engineers",
  address="Istanbul",
  doi="10.1109/BIBM58861.2023.10385615",
  isbn="979-8-3503-3748-8",
  url="https://ieeexplore.ieee.org/document/10385615"
}
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