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A perspective on genetic and polygenic risk scores-advances and limitations and overview of associated tools.
Schwarzerova, Jana; Hurta, Martin; Barton, Vojtech; Lexa, Matej; Walther, Dirk; Provaznik, Valentine; Weckwerth, Wolfram.
Afiliação
  • Schwarzerova J; Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Technicka 10, Brno 61600, Czechia.
  • Hurta M; Molecular Systems Biology (MOSYS), Department of Functional and Evolutionary Ecology, University of Vienna, Vienna 1010, Austria.
  • Barton V; Department of Computer Systems, Faculty of Information Technology, Brno University of Technology, Brno 612 00, Czechia.
  • Lexa M; Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Technicka 10, Brno 61600, Czechia.
  • Walther D; RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno 62500, Czech Republic.
  • Provaznik V; Faculty of Informatics, Masaryk University, Botanicka 68a, Brno 60200, Czech Republic.
  • Weckwerth W; Max-Planck-Institute of Molecular Plant Physiology, Potsdam 14476, Germany.
Brief Bioinform ; 25(3)2024 Mar 27.
Article em En | MEDLINE | ID: mdl-38770718
ABSTRACT
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Predisposição Genética para Doença / Herança Multifatorial Limite: Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Predisposição Genética para Doença / Herança Multifatorial Limite: Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article