A streamlined model for use in clinical breast cancer risk assessment maintains predictive power and is further improved with inclusion of a polygenic risk score

• Richard Allman ,

  Contributed equally to this work with: Richard Allman, John L. Hopper

  Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: richard.allman@gtglabs.com

  Affiliations Genetic Technologies / Phenogen Sciences, Fitzroy, Australia, Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, VIC, Australia

  ⨯
• Erika Spaeth ,

  Roles Formal analysis, Visualization, Writing – review & editing

  ¶‡ ES, JL and SJG also contributed equally to this work.

  Affiliation Phenogen Sciences, Charlotte, North Carolina, United States of America

  https://orcid.org/0000-0002-5397-3493

  ⨯
• John Lai ,

  Roles Data curation, Formal analysis, Investigation, Writing – review & editing

  ¶‡ ES, JL and SJG also contributed equally to this work.

  Affiliations Genetic Technologies / Phenogen Sciences, Fitzroy, Australia, Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, VIC, Australia

  ⨯
• Susan J. Gross ,

  Roles Conceptualization, Methodology, Supervision, Writing – review & editing

  Current address: Icahn School of Medicine at Mount Sinai, New York, New York, United States of America

  ¶‡ ES, JL and SJG also contributed equally to this work.

  Affiliation Phenogen Sciences, Charlotte, North Carolina, United States of America

  ⨯
• John L. Hopper

  Contributed equally to this work with: Richard Allman, John L. Hopper

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Supervision, Visualization, Writing – review & editing

  Affiliation Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, VIC, Australia

  ⨯