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September 23, 2024

Figure S2 from Development and Application of Genetic Ancestry Reconstruction Methods to Study Diversity of Patient-Derived Models in the NCI PDXNet Consortium

Paul C. Lott Katherine Chiu Juanita Elizabeth Quino April Pangia Vang Michael W. Lloyd Anuj Srivastava Jeffrey H. Chuang Luis G. Carvajal‐Carmona

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Abstract

Figure S2 shows Diversity of genetic ancestry estimates from PDXNet breast cancer models. A: Inferred genetic ancestry for 115 breast cancer models in PDXnet. B: Top two categories for 26 "MIXED" samp

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Lott et al. (2024) studied this question.

synapsesocial.com/papers/68e57adfb6db64358751a3f3 https://doi.org/10.1158/2767-9764.27087838

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Figure 1 from Development and Application of Genetic Ancestry Reconstruction Methods to Study Diversity of Patient-Derived Models in the NCI PDXNet Consortium2024
2Figure S1 from Development and Application of Genetic Ancestry Reconstruction Methods to Study Diversity of Patient-Derived Models in the NCI PDXNet Consortium2024
3Table S2 from Development and Application of Genetic Ancestry Reconstruction Methods to Study Diversity of Patient-Derived Models in the NCI PDXNet Consortium2024
4Table S2 from Development and Application of Genetic Ancestry Reconstruction Methods to Study Diversity of Patient-Derived Models in the NCI PDXNet Consortium2024
5Table S2 from Development and Application of Genetic Ancestry Reconstruction Methods to Study Diversity of Patient-Derived Models in the NCI PDXNet Consortium2024

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Table 3 from Development and Application of Genetic Ancestry Reconstruction Methods to Study Diversity of Patient-Derived Models in the NCI PDXNet Consortium2024