Publications

2023
Thanthirige Lakshika M Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas. 2023. “Bayesian Meta-Analysis of Penetrance for Cancer Risk.” arXiv preprint arXiv:2304.01912.
Elyssa Zukin, Julie O Culver, Yuxi Liu, Yunqi Yang, Charité N Ricker, Rachel Hodan, Duveen Sturgeon, Kerry Kingham, Nicolette M Chun, Courtney Rowe-Teeter, and others. 2023. “Clinical implications of conflicting variant interpretations in the cancer genetics clinic.” Genetics in Medicine, Pp. 100837.
Thanthirige Lakshika M Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas. 2023. “Meta-Analysis of Breast Cancer Risk for Individuals with PALB2 Pathogenic Variants.” medRxiv.
Stephen T Knapp, Anna Revette, Meghan Underhill-Blazey, Jill E Stopfer, Chinedu I Ukaegbu, Cole Poulin, Madison Parenteau, Sapna Syngal, Eunchan Bae, Timothy Bickmore, and others. 2023. “MyLynch: A Patient-Facing Clinical Decision Support Tool for Genetically-Guided Personalized Medicine in Lynch Syndrome.” Cancers, 15, 2, Pp. 391.
Theodore Huang, Matthew Ploenzke, and Danielle Braun. 2023. “SNIP: An adaptation of sorted neighborhood methods for deduplicating pedigree data.” The Annals of Applied Statistics, 17, 3, Pp. 2619–2638.
Eunchan Bae, Julie-Alexia Dias, Theodore Huang, Jinbo Chen, Giovanni Parmigiani, Timothy R Rebbeck, and Danielle Braun. 2023. “Variant-specific Mendelian Risk Prediction Model.” bioRxiv, Pp. 2023–03.
2022
Zoe Guan, Giovanni Parmigiani, Danielle Braun, and Lorenzo Trippa. 2022. “Prediction of hereditary cancers using neural networks.” The Annals of Applied Statistics, 16, 1, Pp. 495–520.
Jane W Liang, Gregory E Idos, Christine Hong, Stephen B Gruber, Giovanni Parmigiani, and Danielle Braun. 2022. “Statistical methods for Mendelian models with multiple genes and cancers.” Genetic Epidemiology, 46, 7, Pp. 395–414.
Cathy Shyr, Amanda L Blackford, Theodore Huang, Jianfeng Ke, Nofal Ouardaoui, Lorenzo Trippa, Sapna Syngal, Chinedu Ukaegbu, Hajime Uno, Khedoudja Nafa, and others. 2022. “A validation of models for prediction of pathogenic variants in mismatch repair genes.” Genetics in Medicine, 24, 10, Pp. 2155–2166.
2021
Jin Wang, Preeti Singh, Kanhua Yin, Jingan Zhou, Yujia Bao, Menghua Wu, Kush Pathak, Sophia K McKinley, Danielle Braun, and Kevin S Hughes. 2021. “Disease spectrum of breast cancer susceptibility genes.” Frontiers in Oncology, 11.
Sophia K McKinley, Preeti Singh, Kanhua Yin, Jin Wang, Jingan Zhou, Yujia Bao, Menghua Wu, Kush Pathak, John T Mullen, Danielle Braun, and others. 2021. “Disease spectrum of gastric cancer susceptibility genes.” Medical Oncology, 38, 5, Pp. 1–10.
Theodore Huang, Gregory Idos, Christine Hong, Stephen B Gruber, Giovanni Parmigiani, and Danielle Braun. 2021. “Extending models via gradient boosting: An application to Mendelian models.” The Annals of Applied Statistics, 15, 3, Pp. 1126–1146.
Kinyas Kartal, Zoe Guan, Rong Tang, Molly Griffin, Yan Wang, Danielle Braun, Alison P Klein, and Kevin S Hughes. 2021. “Familial pancreatic cancer: who should be considered for genetic testing?” Irish Journal of Medical Science (1971-), Pp. 1–10.
Yunqi Yang, Christine Hong, Jane W Liang, Stephen Gruber, Giovanni Parmigiani, Gregory Idos, and Danielle Braun. 2021. “A likelihood-based approach to assessing frequency of pathogenicity among variants of unknown significance in susceptibility genes.” Statistics in Medicine, 40, 3, Pp. 593–606.
Gavin Lee, Jane W Liang, Qing Zhang, Theodore Huang, Christine Choirat, Giovanni Parmigani, and Danielle Braun. 2021. “Multi-syndrome, multi-gene risk modeling for individuals with a family history of cancer with the novel R package PanelPRO.” Elife, 10, Pp. e68699.
Jingan Zhou, Preeti Singh, Kanhua Yin, Jin Wang, Yujia Bao, Menghua Wu, Kush Pathak, Sophia K McKinley, Danielle Braun, Carrie C Lubitz, and others. 2021. “Non-medullary thyroid cancer susceptibility genes: evidence and disease spectrum.” Annals of Surgical Oncology, Pp. 1–11.
Reem S Chamseddine, Cathy Wang, Kanhua Yin, Jin Wang, Preeti Singh, Jingan Zhou, Mark E Robson, Danielle Braun, and Kevin S Hughes. 2021. “Penetrance of male breast cancer susceptibility genes: a systematic review.” Breast Cancer Research and Treatment, Pp. 1–8.
Kanhua Yin, Jingan Zhou, Preeti Singh, Jin Wang, Danielle Braun, Kevin S Hughes, and others. 2021. “Search Behavior Regarding Cancer Susceptibility Genes Using a Clinical Decision Support Tool for Gene-Specific Penetrance: Content Analysis.” JMIR cancer, 7, 3, Pp. e28527.
Margaux LA Hujoel, Giovanni Parmigiani, and Danielle Braun. 2021. “Statistical approaches for meta-analysis of genetic mutation prevalence.” Genetic Epidemiology, 45, 2, Pp. 154–170.
Anne Marie McCarthy, Yi Liu, Sarah Ehsan, Zoe Guan, Jane Liang, Theodore Huang, Kevin Hughes, Alan Semine, Despina Kontos, Emily Conant, and others. 2021. “Validation of Breast Cancer Risk Models by Race/Ethnicity, Family History and Molecular Subtypes.” Cancers, 14, 1, Pp. 45.

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