Hannah Carter uses computation to study the role of genetic variation in cancer for applications in precision medicine. Her research is divided between efforts to understand how inherited variation shapes individual cancer risk, and how tumor-associated DNA mutations impact intracellular biological processes and cellular behaviours. Carter has demonstrated that acquired mutations in tumor genomes frequently affect specific protein-protein interactions. She has also uncovered new ways in which the inherited genome influences the probability that a particular cancer gene will acquire a mutation during tumor development. One of her current projects uses statistical modeling to investigate the extent to which the inherited immune system contributes to differences in cancer predisposition and outcome. A second project uses graphical modeling techniques to study the combined consequences of cancer mutations.
Johns Hopkins University Alumni Outstanding Recent Graduate Award, 2015.
NIH Director’s Early Independence Award, 2013.
Siebel Scholar, 2012.
NDSEG Research Fellowship, 2008.
Samuel T. Fife Outstanding Graduate Award, 2005.
R. Marty, S. Kaabinejadian, D. Rossell, M.J. Slifker, J. van de Haar, H.B. Engin, N. de Prisco, T. Ideker, W.H. Hildebrand, J. Font-Burgada, H. Carter, "MHC-I genotype restricts the oncogenic mutational landscape," Cell, 2017 (In Press).
H. Carter*, R. Marty, M. Hofree, A. Gross, J. Jensen, K. Fisch, X. Wu, C. DeBoever, E. Van Nostrand, Y. Song, E. Wheeler, J. Kreisberg, S. Lippman, G. Yeo, S. Gutkind, T. Ideker, "Widespread interacion of inherited polymorphisms with somatic events in cancer," Cancer Discovery Apr 1;7(4):410-23, 2017. PMID: 28188128 * Corresponding author
B. Engin, J. Kreisberg, H. Carter, "Structure-based Analysis Reveals Cancer Missense Mutations Target Protein Interaction Interfaces," PLoS One Apr 4;11(4):e0152929, 2016. PMID: 27043210
B. Engin, M. Hofree, H. Carter, "Identifying Mutation-Specific Cancer Pathways Using a Structurally Resolved Protein Interaction Network," Pac Symp Biocomput. 84-95, 2015. PMID: 25592571
H. Carter, A. Chen, L. Isik, S. Tyekucheva, V.E. Velculescu, K.W. Kinzler, B. Vogelstein, R. Karchin, "Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations," Cancer Res 69, 6660, Aug 15, 2009. PMID: 19654296
CIFAR Azrieli Global Scholar Genetic Networks
University of California, San DiegoDepartment of Medicine, Division of Medical Genetics
B.S. in Electrical and Computer Engineering University of Louisville
M.Eng. in Electrical and Computer Engineering University of Louisville
Ph.D. in Biomedical Engineering Johns Hopkins University
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