Christopher D. McFarland

Affiliations: 
2004-2008 Physics University of Rochester, Rochester, NY 
 2008-2014 Biophysics Harvard University, Cambridge, MA, United States 
 2014-2018 Biology Stanford University, Palo Alto, CA 
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Parents

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Randall H. Morse research assistant 2002-2004 Wadsworth Center/ New York State Dept. of Health (Cell Biology Tree)
Mark E. Dumont research assistant 2005-2008 Rochester
James M. Hogle grad student 2014 Harvard
 (The role of deleterious passengers in cancer.)
Leonid A. Mirny grad student 2008-2014 MIT and Harvard
 (The role of deleterious passengers in cancer)
Dmitri Petrov post-doc 2014-2018 Stanford (FlyTree)
Monte M. Winslow post-doc 2014-2018 Stanford (Neurotree)
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Publications

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Tilk S, Tkachenko S, Curtis C, et al. (2022) Most cancers carry a substantial deleterious load due to Hill-Robertson interference. Elife. 11
Li C, Lin WY, Rizvi H, et al. (2021) Quantitative in vivo analyses reveal a complex pharmacogenomic landscape in lung adenocarcinoma. Cancer Research
Cai H, Chew SK, Li C, et al. (2021) A functional taxonomy of tumor suppression in oncogenic KRAS-driven lung cancer. Cancer Discovery
Cai H, Li C, Chew SK, et al. (2020) Abstract IA26: Multiplexed functional cancer genomics Cancer Research. 80
Rogers ZN, McFarland CD, Winters IP, et al. (2018) Mapping the in vivo fitness landscape of lung adenocarcinoma tumor suppression in mice. Nature Genetics
Winters IP, Rogers ZN, McFarland CD, et al. (2018) Abstract IA03: Functional lung cancer genomics through in vivo genome editing Clinical Cancer Research. 24
Winters IP, Chiou SH, Paulk NK, et al. (2017) Multiplexed in vivo homology-directed repair and tumor barcoding enables parallel quantification of Kras variant oncogenicity. Nature Communications. 8: 2053
McFarland C, Yaglom JA, Wojtkowiak JW, et al. (2017) The damaging effect of passenger mutations on cancer progression. Cancer Research
Rogers ZN, McFarland CD, Winters IP, et al. (2017) A quantitative and multiplexed approach to uncover the fitness landscape of tumor suppression in vivo. Nature Methods
Grüner BM, Schulze CJ, Yang D, et al. (2016) An in vivo multiplexed small-molecule screening platform. Nature Methods
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