Author

M. A. Troester

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 3

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Approach:experimental assay· 1 Research Focus:GWAS / association mapping· 1 Research Focus:host-pathogen & immune response· 1 Organism:mouse· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

M. I. Love· 2 shared A. Bhattacharya· 1 shared A. F. Olshan· 1 shared A. V. DiMarco· 1 shared A. Walens· 1 shared B. A. Hanks· 1 shared B. McKinney· 1 shared C. M. Perou· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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2 shared papersCancer Biology

M. I. Love

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3 papers

Recent·Most cited

Diffsig: Associating Risk Factors With Mutational Signatures

J.-E. Park, M. A. Smith, S. C. Van Alsten, A. Walens, D. Wu, K. A. Hoadley, M. A. Troester, M. I. Love

Diffsig estimates associations between risk factors and mutational signatures using a Bayesian model, confirming known cancer mechanisms in breast cancer data.

bioRxiv · Feb 9, 2023Cancer Biology

APOBEC mutagenesis inhibits breast cancer growth through induction of a T cell-mediated antitumor immune response

A. V. DiMarco, X. Qin, S. Van Alsten, B. McKinney, N. M. G. Garcia, J. Force, B. A. Hanks, M. A. Troester, K. Owzar, J. Xie, J. V. Alvarez

This study shows that APOBEC mutagenesis in breast cancer promotes T cell-mediated antitumor immunity, leading to tumor growth inhibition and sensitivity to checkpoint inhibitors.

bioRxiv · Feb 13, 2021Cancer Biology

A framework for transcriptome-wide association studies in breast cancer in diverse study populations

A. Bhattacharya, M. Garcia-Closas, A. F. Olshan, C. M. Perou, M. A. Troester, M. I. Love

This paper develops a framework for transcriptome-wide association studies (TWAS) in breast cancer across diverse populations, identifying gene associations in underrepresented groups that are missed by GWAS.

bioRxiv · Sep 14, 2019Cancer Biology