The IARC TP53 Database: New Online Mutation Analysis and Recommendations to Users

The IARC TP53 Database: New Online Mutation Analysis and Recommendations to Users

19:607-614 (2002) | Magali Olivier, Ros Eeles, Monica Hollstein, Mohammed A. Khan, Curtis C. Harris, and Pierre Hainaut
The International Agency for Research on Cancer (IARC) maintains the largest database of TP53 mutations, which includes both somatic and inherited mutations, as well as polymorphisms. The database, available at www.iarc.fr/P53/, has been recently restructured to be patient-centered, providing more detailed annotations on patient exposure, virus infection, and genetic background. A new online application allows users to retrieve and analyze somatic mutation data, generating graphs and tables. The database includes three types of data: somatic mutations, germline mutations, and polymorphisms, all derived from published literature. The article discusses the strengths and limitations of the database, emphasizing the importance of critical judgment in interpreting the data due to potential biases and technical artifacts. Recommendations are provided for authors to contribute high-quality data, and the authors express a willingness to collaborate with other databases to create a comprehensive resource for cancer research.The International Agency for Research on Cancer (IARC) maintains the largest database of TP53 mutations, which includes both somatic and inherited mutations, as well as polymorphisms. The database, available at www.iarc.fr/P53/, has been recently restructured to be patient-centered, providing more detailed annotations on patient exposure, virus infection, and genetic background. A new online application allows users to retrieve and analyze somatic mutation data, generating graphs and tables. The database includes three types of data: somatic mutations, germline mutations, and polymorphisms, all derived from published literature. The article discusses the strengths and limitations of the database, emphasizing the importance of critical judgment in interpreting the data due to potential biases and technical artifacts. Recommendations are provided for authors to contribute high-quality data, and the authors express a willingness to collaborate with other databases to create a comprehensive resource for cancer research.
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