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TP53 Genetic Testing and Personalized Nutrition Service

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Applied Informatics (ICAI 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1874))

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Abstract

TP53 is one of the tumor suppressor genes found to be highly correlated with human tumor development, this gene can sense stress or damage to cells and prevent cell division or trigger cell death, thereby preventing the proliferation of damaged cells. The P53 protein encoded by TP53 has an anti-tumor effect and is known as the “guardian of the genome”. The mutation of TP53 gene eliminates a key cell safety mechanism, making it the trigger of cancer. In this paper, we first described the relationship between TP53 gene and tumors, and discussed the application of TP53 gene in tumor prediction and treatment, then we developed a TP53 genetic testing service to evaluate the cancer suppression ability of tumors, so that to help individuals to establish a scientific and reasonable lifestyle in a timely manner, and better grasp the initiative of health. Further, we describe the interaction between TP53 gene and nutrition and its impact on the occurrence and development of cancer. Finally, based on the analysis of the genetic testing results and food frequency questionnaires, we developed a personalized nutrition service to reduce the risk of developing the diseases with high genetic risk score.

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Acknowledgment

This research project is supported by Science Foundation of Beijing Language and Culture University (supported by “the Fundamental Research Funds for the Central Universities”) (Approval number: 23YJ080003).

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Authors and Affiliations

  1. School of Information Science, Beijing Language and Culture University, Beijing, 100083, China

    Jitao Yang

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  1. Jitao Yang
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Correspondence to Jitao Yang .

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Editors and Affiliations

  1. Universidad Distrital Francisco Jose de Caldas, Bogota, Colombia

    Hector Florez

  2. Universidad Ecotec, Guayaquil, Ecuador

    Marcelo Leon

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Yang, J. (2024). TP53 Genetic Testing and Personalized Nutrition Service. In: Florez, H., Leon, M. (eds) Applied Informatics. ICAI 2023. Communications in Computer and Information Science, vol 1874. Springer, Cham. https://doi.org/10.1007/978-3-031-46813-1_23

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  • DOI: https://doi.org/10.1007/978-3-031-46813-1_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-46812-4

  • Online ISBN: 978-3-031-46813-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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