Enhanced family history-based algorithms increase the identification of individuals meeting criteria for genetic testing of hereditary cancer syndromes but would not reduce disparities on their own

Richard L. Bradshaw, Kensaku Kawamoto, Jemar R. Bather, Melody Goodman, Wendy Kohlmann, Daniel Chavez-Yenter, Molly Volkmar, Rachel Monahan, Kimberly A. Kaphingst, Guilherme Del Fiol. Enhanced family history-based algorithms increase the identification of individuals meeting criteria for genetic testing of hereditary cancer syndromes but would not reduce disparities on their own. Journal of Biomedical Informatics, 149:104568, January 2024. [doi]

@article{BradshawKBGKCVMKF24,
  title = {Enhanced family history-based algorithms increase the identification of individuals meeting criteria for genetic testing of hereditary cancer syndromes but would not reduce disparities on their own},
  author = {Richard L. Bradshaw and Kensaku Kawamoto and Jemar R. Bather and Melody Goodman and Wendy Kohlmann and Daniel Chavez-Yenter and Molly Volkmar and Rachel Monahan and Kimberly A. Kaphingst and Guilherme Del Fiol},
  year = {2024},
  month = {January},
  doi = {10.1016/j.jbi.2023.104568},
  url = {https://doi.org/10.1016/j.jbi.2023.104568},
  researchr = {https://researchr.org/publication/BradshawKBGKCVMKF24},
  cites = {0},
  citedby = {0},
  journal = {Journal of Biomedical Informatics},
  volume = {149},
  pages = {104568},
}