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Statistical methods for Mendelian models with multiple genes and cancers.

Jane W Liang1,2, Gregory E Idos3, Christine Hong3

  • 1Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.

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Summary
This summary is machine-generated.

PanelPRO is a new framework for cancer risk prediction using Mendelian genetics. It efficiently calculates the probability of carrying pathogenic variants and developing cancer, accommodating numerous genes and cancers.

Keywords:
Mendelian modelsgermline panel gene testingpathogenic variantsprecision preventionrisk prediction

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Area of Science:

  • Genetics
  • Computational Biology
  • Oncology

Background:

  • Identifying individuals at higher risk for cancer due to heritable pathogenic variants is crucial for personalized clinical management.
  • Current Mendelian models are often limited to specific genes and syndromes, failing to incorporate discoveries from multigene panel testing.
  • The increasing identification of new gene-cancer associations necessitates advanced risk prediction tools.

Purpose of the Study:

  • To develop a flexible and efficient Mendelian risk prediction framework, PanelPRO, capable of handling complex models with multiple genes and cancers.
  • To overcome computational challenges associated with larger, more complex Mendelian models.
  • To provide a tool that integrates new gene-cancer associations discovered through multigene panel testing.

Main Methods:

  • Developed PanelPRO, a flexible Mendelian risk prediction framework based on Mendelian genetics and Bayesian probability.
  • Implemented an 11-gene, 11-cancer model, the largest to date, within the PanelPRO framework.
  • Utilized simulations and a clinical cohort with germline panel testing data for evaluation.

Main Results:

  • Evaluated the performance of the PanelPRO framework using simulations and clinical data.
  • Validated the reverse-compatibility of PanelPRO with existing Mendelian models.
  • Demonstrated the practical application and usage of the PanelPRO framework.

Conclusions:

  • PanelPRO offers a scalable and efficient solution for Mendelian risk prediction, accommodating a large number of genes and cancers.
  • The framework successfully integrates new gene-cancer associations, advancing personalized cancer risk assessment.
  • The PanelPRO R package is freely available for research, supporting further development in genetic risk evaluation.