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A perspective on genetic and polygenic risk scores-advances and limitations and overview of associated tools
J. Schwarzerova, M. Hurta, V. Barton, M. Lexa, D. Walther, V. Provaznik, W. Weckwerth
Language English Country England, Great Britain
Document type Journal Article, Review
Grant support
FEKT/FIT-J-23-8274
Brno University of Technology intra-university junior project
NLK
Directory of Open Access Journals
from 2024
PubMed Central
from 2008
Medline Complete (EBSCOhost)
from 2000-01-01
Oxford Journals Open Access Collection
from 2000
PubMed
38770718
DOI
10.1093/bib/bbae240
Knihovny.cz E-resources
- MeSH
- Genome-Wide Association Study methods MeSH
- Genetic Predisposition to Disease * MeSH
- Genetic Risk Score MeSH
- Risk Assessment methods MeSH
- Humans MeSH
- Multifactorial Inheritance * MeSH
- Risk Factors MeSH
- Software * MeSH
- Computational Biology methods MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Review MeSH
Polygenetic Risk Scores are used to evaluate an individual's vulnerability to developing specific diseases or conditions based on their genetic composition, by taking into account numerous genetic variations. This article provides an overview of the concept of Polygenic Risk Scores (PRS). We elucidate the historical advancements of PRS, their advantages and shortcomings in comparison with other predictive methods, and discuss their conceptual limitations in light of the complexity of biological systems. Furthermore, we provide a survey of published tools for computing PRS and associated resources. The various tools and software packages are categorized based on their technical utility for users or prospective developers. Understanding the array of available tools and their limitations is crucial for accurately assessing and predicting disease risks, facilitating early interventions, and guiding personalized healthcare decisions. Additionally, we also identify potential new avenues for future bioinformatic analyzes and advancements related to PRS.
Department of Physiology Faculty of Medicine Masaryk University Brno 62500 Czech Republic
Faculty of Informatics Masaryk University Botanicka 68a Brno 60200 Czech Republic
Max Planck Institute of Molecular Plant Physiology Potsdam 14476 Germany
RECETOX Faculty of Science Masaryk University Kotlarska 2 Brno 62500 Czech Republic
Vienna Metabolomics Center University of Vienna Vienna 1010 Austria
References provided by Crossref.org
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