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Bonini, Katherine E.

https://orcid.org/0000-0001-7721-8137

Mayo Clinic

Icahn School of Medicine at Mount Sinai

Citations 2

Implementing integrated genomic risk assessments for breast cancer: lessons learned from the Electronic Medical Records and Genomics study
Liu, Cong , Morse, Jennifer, Linder, Jodell E. , Antoniou, Antonis C. , Carver, Tim , Cortopassi, Josh , Peterson, Josh F. , Ta, Casey , Hoell, Christin , Prows, Cynthia A. , Miller, Emily , Perez, Emma , Jarvik, Gail P, Odgis, Jacqueline A. , Bonini, Katherine E. , McGuffin, Kyle, Maradik, Mary, Limdi, Nita, Marathe, Priya , Suckiel, Sabrina A. , Aguilar, Sienna , Lewis, Toni J., Wei, Wei‐Qi, Freimuth, Robert R, Håkonarson, Håkon , Wiesner, Georgia L. , Jarvik, Gail P. , Carver, Tim , Ta, Casey N , Hoell, Christin , Bland, Sarah T , Kottyan, Leah C , Luo, Yuan , Weng, Chunhua , Hakonarson, Hakon , Jarvik, Gail P , Liu, Cong , Peterson, Josh F , Crew, Katherine D. , Morse, Jennifer, Kenny, Eimear E , Bland, Harris T. , Mittendorf, Kathleen F. , McGuffin, Kyle, Kottyan, Leah C. , Abul‐Husn, Noura S. , Luo, Yuan , Freimuth, Robert R. , Weng, Chunhua , Chung, Wendy K.

JAMIA Open | October 4, 2025 | Volume: 8 | Issue: 5 | Pages: No page available

10.1093/jamiaopen/ooaf113 Get It

Abstract Objectives To implementation an automated multi-institutional pipeline that delivers breast-cancer risk integrated with polygenic risk scores, monogenic variants, family history, and clinical factors, emphasizing operational challenges and their solutions. Materials and Methods A five-stage process was executed at ten sites. Data streams from REDCap surveys, PRS and monogenic reports, and MeTree pedigrees were normalized and forwarded through a REDCap plug-in to the CanRisk API. Results Integrated risk was returned to >10 000 women; 3.6% were ≥25 % lifetime risk and 0.9% carried pathogenic variants. Pipeline generated score aligns well with manual generated ones. Major barriers such as heterogeneous pedigree formats, missing data, edge-case handling, and evolving model versions were identified and resolved through mapping rules, imputations, and iterative testing. Discussion Cross-platform data harmonization and stakeholder alignment were decisive for success. Borderline-risk communication and model-version drift remain open issues. Conclusion Large-scale PRS-integrated breast-cancer risk reporting is feasible but requires robust interoperability standards and iterative governance.
What guidance does HIPAA offer to providers considering familial risk notification and cascade genetic testing?
Henrikson, Nora B. , Wagner, Jennifer K. , DeVore, Christopher, Shridhar, Nirupama Nini, Williams, Janet L. , Donohue, Katherine E., Prince, Anya E. R. , Bonini, Katherine E. , Henrikson, Nora , Hampel, Heather , Kullo, Iftikhar J.

Journal of Law and the Biosciences | August 27, 2020 | Volume: 7 | Issue: 1 | Pages: No page available

10.1093/jlb/lsaa071 Get It

Abstract Background It is unclear how the Health Insurance Portability and Accountability Act (HIPAA) should be interpreted in the context of sharing of genomic information between family members. Methods The authors analyzed the HIPAA Privacy Rule, reviewed the literature and constructed a clinical scenario to inform how HIPAA can be interpreted for multiple forms of patient- and provider-mediated genetic risk notification. Results Under HIPAA, healthcare providers can lawfully notify relatives to recommend genetic risk assessment using multiple approaches, including supporting the patient telling their own relatives, contacting relatives directly with the patient’s authorization, or contacting a relative’s provider directly. Conclusions Multiple forms of patient- or provider-mediated contact of relatives are already legally permissible under HIPAA, are consistent with ethical obligations of care to patients and their families, and could result in improved population health through identification of clinically actionable disease risk. Unanswered questions remain about implementation and impacts of provider-mediated programs.