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2019 2
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LFSPROShiny: an interactive R/Shiny app for prediction and visualization of cancer risks in families with deleterious germline TP53 mutations.
Nguyen NH, Dodd-Eaton EB, Peng G, Corredor JL, Jiao W, Woodman-Ross J, Arun BK, Wang W. Nguyen NH, et al. Among authors: dodd eaton eb. medRxiv [Preprint]. 2023 Aug 15:2023.08.11.23293956. doi: 10.1101/2023.08.11.23293956. medRxiv. 2023. Update in: JCO Clin Cancer Inform. 2024 Feb;8:e2300167. doi: 10.1200/CCI.23.00167. PMID: 37645796 Free PMC article. Updated. Preprint.
Validating risk prediction models for multiple primaries and competing cancer outcomes in families with Li-Fraumeni syndrome using clinically ascertained data at a single institute.
Nguyen NH, Dodd-Eaton EB, Corredor JL, Woodman-Ross J, Green S, Hernandez ND, Gutierrez Barrera AM, Arun BK, Wang W. Nguyen NH, et al. Among authors: dodd eaton eb. medRxiv [Preprint]. 2023 Sep 2:2023.08.31.23294849. doi: 10.1101/2023.08.31.23294849. medRxiv. 2023. Update in: J Clin Oncol. 2024 Jun 20;42(18):2186-2195. doi: 10.1200/JCO.23.01926. PMID: 37693464 Free PMC article. Updated. Preprint.
Penetrance of Different Cancer Types in Families with Li-Fraumeni Syndrome: A Validation Study Using Multicenter Cohorts.
Shin SJ, Dodd-Eaton EB, Peng G, Bojadzieva J, Chen J, Amos CI, Frone MN, Khincha PP, Mai PL, Savage SA, Ballinger ML, Thomas DM, Yuan Y, Strong LC, Wang W. Shin SJ, et al. Among authors: dodd eaton eb. Cancer Res. 2020 Jan 15;80(2):354-360. doi: 10.1158/0008-5472.CAN-19-0728. Epub 2019 Nov 12. Cancer Res. 2020. PMID: 31719101 Free PMC article.
A pedigree-based prediction model identifies carriers of deleterious de novo mutations in families with Li-Fraumeni syndrome.
Gao F, Pan X, Dodd-Eaton EB, Recio CV, Montierth MD, Bojadzieva J, Mai PL, Zelley K, Johnson VE, Braun D, Nichols KE, Garber JE, Savage SA, Strong LC, Wang W. Gao F, et al. Among authors: dodd eaton eb. Genome Res. 2020 Aug;30(8):1170-1180. doi: 10.1101/gr.249599.119. Epub 2020 Aug 18. Genome Res. 2020. PMID: 32817165 Free PMC article.