Utilizing Genetic Programming to Enhance Polygenic Risk Score Calculation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F23%3APU149766" target="_blank" >RIV/00216305:26230/23:PU149766 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10385615" target="_blank" >https://ieeexplore.ieee.org/document/10385615</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/BIBM58861.2023.10385615" target="_blank" >10.1109/BIBM58861.2023.10385615</a>
Alternative languages
Result language
angličtina
Original language name
Utilizing Genetic Programming to Enhance Polygenic Risk Score Calculation
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2023)
ISBN
979-8-3503-3748-8
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
3782-3787
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
Istanbul
Event location
Istanbul
Event date
Dec 5, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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