K Yin, Y Liu, B Lamichhane, JF Sandbach, G Patel, G Compagnoni, RH Kanak, B Rosen, DP Ondrula, L Smith, and others. 2020. “Legacy Genetic Testing Results for Cancer Susceptibility: How Common are Conflicting Classifications in a Large Variant Dataset from Multiple Practices?” Annals of Surgical Oncology.

Fan Gao, Xuedong Pan, Elissa B Dodd-Eaton, Carlos Vera C Recio, Jasmina Bojadzieva, Phuong L Mai, Kristin Zelley, Valen E Johnson, Danielle Braun, Kim E Nichols, and others. 2020. “A pedigree-based prediction model identifies carriers of deleterious de novo mutations in families with Li-Fraumeni syndrome.” bioRxiv.

Jinbo Chen, Eunchan Bae, Lingjiao Zhang, Kevin Hughes, Giovanni Parmigiani, Danielle Braun, and Timothy R Rebbeck. 2020. “Penetrance of Breast and Ovarian Cancer in Women Who Carry a BRCA1/2 Mutation and Do not Use Risk-Reducing Salpingo-Oophorectomy: An Updated Meta-analysis.” JNCI Cancer Spectrum.

Cathy Wang, Yan Wang, Kevin S Hughes, Giovanni Parmigiani, and Danielle Braun. 2020. “Penetrance of Colorectal Cancer Among Mismatch Repair Gene Mutation Carriers: A Meta-Analysis.” JNCI Cancer Spectrum.

Yuxi Liu, Kanhua Yin, Basanta Lamichhane, John F Sandbach, Gayle Patel, Gia Compagnoni, Richard H Kanak, Barry Rosen, David P Ondrula, Linda Smith, and others. 2019. “Ask2Me VarHarmonizer: A Python-Based Tool to Harmonize Variants from Cancer Genetic Testing Reports and Map them to the ClinVar Database.” arXiv preprint arXiv:1911.08408.

Jaihwan Kim, Danielle Braun, Chinedu Ukaegbu, Tara G Dhingra, Fay Kastrinos, Giovanni Parmigiani, Sapna Syngal, and Matthew B Yurgelun. 2019. “Clinical Factors Associated With Gastric Cancer in Individuals With Lynch Syndrome.” Clinical Gastroenterology and Hepatology.

Francisco Acevedo, Victor Diego Armengol, Zhengyi Deng, Rong Tang, Suzanne Coopey, Emanuele Mazzola, Conor Lanahan, Danielle Braun, Adam Yala, Regina Barzilay, and others. 2019. “Incidental atypical hyperplasia/LCIS in mammoplasty specimens and subsequent risk of breast cancer.”.

Anne Marie McCarthy, Zoe Guan, Michaela Welch, Molly E Griffin, Dorothy A Sippo, Zhengyi Deng, Suzanne B Coopey, Ahmet Acar, Alan Semine, Giovanni Parmigiani, and others. 2019. “Performance of Breast Cancer Risk-Assessment Models in a Large Mammography Cohort.” JNCI: Journal of the National Cancer Institute.

Yujia Bao, Zhengyi Deng, Yan Wang, Heeyoon Kim, Victor Diego Armengol, Francisco Acevedo, Nofal Ouardaoui, Cathy Wang, Giovanni Parmigiani, Regina Barzilay, Danielle Braun, and Kevin S Hughes. 2019. “Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes.” JCO Clinical Cancer Informatics, forthcoming.

Zhengyi Deng, Kanhua Yin, Yujia Bao, Victor Diego Armengol, Cathy Wang, Ankur Tiwari, Regina Barzilay, Giovanni Parmigiani, Danielle Braun, and Kevin S Hughes. 2019. “Validation of a Semiautomated Natural Language Processing–Based Procedure for Meta-Analysis of Cancer Susceptibility Gene Penetrance.” JCO Clinical Cancer Informatics.

Danielle Braun, Jiabei Yang, Molly Griffin, Giovanni Parmigiani, and Kevin S Hughes. 2018. “A Clinical Decision Support Tool to Predict Cancer Risk for Commonly Tested Cancer-Related Germline Mutations.” Journal of genetic counseling, Pp. 1–13.

Thomas Madsen, Danielle Braun, Peng Gang, Giovanni Parmigiani, and Lorenzo Trippa. 2018. “Efficient computation of the joint probability of multiple inherited risk alleles from pedigree data.” Genetic Epidemiology, Pp. 1–11.

Francisco Acevedo, Diego V Armengol, Zhengyi Deng, Rong Tang, Suzanne B Coopey, Danielle Braun, Adam Yala, Regina Barzilay, Clara Li, Amy Colwell, and others. 2018. “Pathologic findings in reduction mammoplasty specimens: a surrogate for the population prevalence of breast cancer and high-risk lesions.” Breast Cancer Research and Treatment, Pp. 1–7.

Jessica A Cintolo-Gonzalez, Danielle Braun, Amanda L Blackford, Emanuele Mazzola, Ahmet Acar, Jennifer K Plichta, Molly Griffin, and Kevin S Hughes. 2017. “Breast cancer risk models: a comprehensive overview of existing models, validation, and clinical applications.” Breast Cancer Research and Treatment, Pp. 1–22.

Danielle Braun, Malka Gorfine, Hormuzd A Katki, Argyrios Ziogas, and Giovanni Parmigiani. 2017. “Nonparametric Adjustment for Measurement Error in Time to Event Data: Application to Risk Prediction Models.” Journal of the American Statistical Association, just-accepted.

Emanuele Mazzola, Suzanne B Coopey, Molly Griffin, Fernanda Polubriaginof, Julliette M Buckley, Giovanni Parmigiani, Judy E Garber, Barbara L Smith, Michele A Gadd, Michelle C Specht, and others. 2017. “Reassessing risk models for atypical hyperplasia: age may not matter.” Breast cancer research and treatment, 165, 2, Pp. 285–291.

J Chipman and D Braun. 2017. “Simpson's paradox in the integrated discrimination improvement.” Statistics in medicine, 36, 28, Pp. 4468–4481.

Monica Marabelli, Su-Chun Cheng, and Giovanni Parmigiani. 2016. “Penetrance of ATM Gene Mutations in Breast Cancer: A Meta-Analysis of Different Measures of Risk.” Genetic epidemiology, 40, 5, Pp. 425–431.

Swati Biswas, Philamer Atienza, Jonathan Chipman, Amanda L Blackford, Banu Arun, Kevin Hughes, and Giovanni Parmigiani. 2016. “A two-stage approach to genetic risk assessment in primary care.” Breast cancer research and treatment, 155, 2, Pp. 375–383.

Emanuele Mazzola, Amanda Blackford, Giovanni Parmigiani, and Swati Biswas. 2015. “Recent enhancements to the genetic risk prediction model BRCAPRO.” Cancer informatics, 14, Suppl 2, Pp. 147.