دورية أكاديمية
Multi-syndrome, multi-gene risk modeling for individuals with a family history of cancer with the novel R package PanelPRO
| العنوان: | Multi-syndrome, multi-gene risk modeling for individuals with a family history of cancer with the novel R package PanelPRO |
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| المؤلفون: | Gavin Lee, Jane W Liang, Qing Zhang, Theodore Huang, Christine Choirat, Giovanni Parmigiani, Danielle Braun |
| المصدر: | eLife, Vol 10 (2021) |
| بيانات النشر: | eLife Sciences Publications Ltd, 2021. |
| سنة النشر: | 2021 |
| المجموعة: | LCC:Medicine LCC:Science LCC:Biology (General) |
| مصطلحات موضوعية: | mendelian modeling, cancer risk, statistical software, pedigree data, Medicine, Science, Biology (General), QH301-705.5 |
| الوصف: | Identifying individuals who are at high risk of cancer due to inherited germline mutations is critical for effective implementation of personalized prevention strategies. Most existing models focus on a few specific syndromes; however, recent evidence from multi-gene panel testing shows that many syndromes are overlapping, motivating the development of models that incorporate family history on several cancers and predict mutations for a comprehensive panel of genes. We present PanelPRO, a new, open-source R package providing a fast, flexible back-end for multi-gene, multi-cancer risk modeling with pedigree data. It includes a customizable database with default parameter values estimated from published studies and allows users to select any combinations of genes and cancers for their models, including well-established single syndrome BayesMendel models (BRCAPRO and MMRPRO). This leads to more accurate risk predictions and ultimately has a high impact on prevention strategies for cancer and clinical decision making. The package is available for download for research purposes at https://projects.iq.harvard.edu/bayesmendel/panelproTest. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2050-084X |
| العلاقة: | https://elifesciences.org/articles/68699Test; https://doaj.org/toc/2050-084XTest |
| DOI: | 10.7554/eLife.68699 |
| الوصول الحر: | https://doaj.org/article/30151eb9e9c3417ebd4c31b84536a3e7Test |
| رقم الانضمام: | edsdoj.30151eb9e9c3417ebd4c31b84536a3e7 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 2050084X |
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| DOI: | 10.7554/eLife.68699 |