Hujoel MLA, Parmigiani G, Braun D. Statistical approaches for meta-analysis of genetic mutation prevalence. Genetic Epidemiology. 2020.

Huang T, Braun D, Lynch HT, Parmigiani G. Variation in cancer risk among families with genetic susceptibility. Genetic epidemiology. 2020.

Wu X, Braun D, Schwartz J, Kioumourtzoglou MA, Dominici F. Evaluating the impact of long-term exposure to fine particulate matter on mortality among the elderly. Science Advances. 2020;6 (29) :eaba5692.

Huang T, Gorfine M, Hsu L, Parmigiani G, Braun D. Practical implementation of frailty models in Mendelian risk prediction. Genetic Epidemiology. 2020.

Wu X, Nethery RC, Sabath BM, Braun D, Dominici F. Exposure to air pollution and COVID-19 mortality in the United States. medRxiv. 2020.

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

Gao F, Pan X, Dodd-Eaton EB, Recio CVC, Bojadzieva J, Mai PL, Zelley K, Johnson VE, Braun D, Nichols KE, et al. A pedigree-based prediction model identifies carriers of deleterious de novo mutations in families with Li-Fraumeni syndrome. bioRxiv. 2020.

Chen J, Bae E, Zhang L, Hughes K, Parmigiani G, Braun D, Rebbeck TR. 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. 2020.

Wang C, Wang Y, Hughes KS, Parmigiani G, Braun D. Penetrance of Colorectal Cancer Among Mismatch Repair Gene Mutation Carriers: A Meta-Analysis. JNCI Cancer Spectrum. 2020.

Dominici F, Schwartz J, Di Q, Braun D, Choirat C, Zanobetti A. Assessing adverse health effects of long-term exposure to low levels of ambient air pollution: phase 1. Research Reports: Health Effects Institute. 2019;2019.

Wu X, Braun D, Kioumourtzoglou M-A, Choirat C, Di Q, Dominici F. Causal inference in the context of an error prone exposure: air pollution and mortality. The annals of applied statistics. 2019;13 (1) :520.

Choirat C, Braun D, Kioumourtzoglou M-A. Data Science in Environmental Health Research. Current Epidemiology Reports. 2019;6 (3) :291–299.

Papadogeorgou G, Kioumourtzoglou M-A, Braun D, Zanobetti A. Low Levels of Air Pollution and Health: Effect Estimates, Methodological Challenges, and Future Directions. Current environmental health reports. 2019;6 (3) :105–115.

Acevedo F, Armengol DV, Deng Z, Tang R, Coopey SB, Braun D, Yala A, Barzilay R, Li C, Colwell A, et al. Pathologic findings in reduction mammoplasty specimens: a surrogate for the population prevalence of breast cancer and high-risk lesions. Breast cancer research and treatment. 2019;173 (1) :201–207.

Bao Y, Deng Z, Wang Y, Kim H, Armengol VD, Acevedo F, Ouardaoui N, Wang C, Parmigiani G, Barzilay R, et al. Using machine learning and natural language processing to review and classify the medical literature on cancer susceptibility genes. JCO clinical cancer informatics. 2019;1 :1–9.

Deng Z, Yin K, Bao Y, Armengol VD, Wang C, Tiwari A, Barzilay R, Parmigiani G, Braun D, Hughes KS. Validation of a Semiautomated Natural Language Processing–Based Procedure for Meta-Analysis of Cancer Susceptibility Gene Penetrance. JCO clinical cancer informatics. 2019;3 :1–9.

Braun D, Dominici F, Kioumourtzoglou M, others. Assessing the short-term effect of PM2. 5 on cardiovascular hospitalizations in the Medicaid population: a case-crossover study. Environmental Epidemiology. 2019;3 :96.

Liu Y, Yin K, Lamichhane B, Sandbach JF, Patel G, Compagnoni G, Kanak RH, Rosen B, Ondrula DP, Smith L, et al. 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. 2019.

McCarthy AM, Guan Z, Welch M, Griffin ME, Sippo DA, Deng Z, Coopey SB, Acar A, Semine A, Parmigiani G, et al. Performance of breast cancer risk assessment models in a large mammography cohort. JNCI: Journal of the National Cancer Institute. 2019.

Bao Y, Deng Z, Wang Y, Kim H, Armengol VD, Acevedo F, Ouardaoui N, Wang C, Parmigiani G, Barzilay R, et al. Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes. JCO Clinical Cancer Informatics, forthcoming. 2019.