Author

A. Gusev

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· 4 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 5 Approach:statistical model· 5 Assay:bulk RNA-seq· 3 Research Focus:differential expression· 3 Research Focus:gene regulatory network inference· 3 Assay:ChIP-seq· 2 Research Focus:chromatin & epigenetic regulation· 2 Assay:whole-genome sequencing· 2

Frequent Co-Authors

J.-H. Seo· 4 shared M. L. Freedman· 3 shared B. Y. Karlan· 2 shared J. Reddy· 2 shared K. Lawrenson· 2 shared R. I. Corona· 2 shared S. A. Gayther· 2 shared X. Lin· 2 shared

Activity by Year

2018-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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4 shared papersCancer Biology

J.-H. Seo

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Author profile →

5 papers

Recent·Most cited

Germline determinants of the prostate tumor genome

K. E. Houlahan, J. Yuan, T. Schwarz, J. Livingstone, N. S. Fox, W. Jaratlerdsiri, J. van Riet, K. Taraszka, N. Kurganovs, H. Zhu, J. Sietsma Penington, C.-H. Jung, T. N. Yamaguchi, J. Jiang, L. E. Heisler, , P. C. Boutros

The paper identifies germline-determined quantitative trait loci (dQTLs) that influence somatic mutational features in prostate cancer, revealing their impact on tumor epigenome, transcriptome, and proteome.

bioRxiv · Nov 16, 2022 · PreprintCancer Biology

Allele-specific epigenetic activity in prostate cancer and normal prostate tissue implicates prostate cancer risk mechanisms

A. Shetty, J.-H. Seo, C. A. Bell, E. P. O'Connor, M. Pomerantz, M. L. Freedman, A. Gusev

This study identifies allele-specific epigenetic activity in prostate cancer and normal tissue, linking it to GWAS risk loci and highlighting tumor-specific regulatory elements.

bioRxiv · Jun 2, 2021Cancer Biology

Predicting master transcription factors from pan-cancer expression data

J. Reddy, M. A. S. Fonseca, R. I. Corona, R. Nameki, F. Segato Dezem, I. A. Klein, H. Chang, D. Chaves-Moreira, L. Afeyan, T. M. Malta, X. Lin, F. Abbasi, A. Font-Tello, T. Sabedot, P. Cejas, , K. Lawrenson

This paper introduces CaCTS, an algorithm that identifies candidate master transcription factors (MTFs) across 34 cancer types using RNA-seq data, revealing novel MTFs and functional groupings.

bioRxiv · Nov 12, 2019Cancer Biology

Non-coding Somatic Mutations Converge on the PAX8 Pathway in Epithelial Ovarian Cancer

R. I. Corona, J.-H. Seo, X. Lin, D. J. Hazelett, J. Reddy, F. Abassi, Y. G. Lin, P. Y. Mhawech-Fauceglia, J. Lester, S. P. Shah, D. G. Huntsman, A. Gusev, B. Y. Karlan, B. P. Berman, M. L. Freedman, , K. Lawrenson

The paper identifies histotype-specific regulatory elements in ovarian cancer by integrating chromatin landscapes and somatic mutations, highlighting the PAX8 pathway's role in tumor development.

bioRxiv · Feb 1, 2019Cancer Biology

An evolutionary compass for detecting signals of polygenic selection and mutational bias

L. H. Uricchio, H. C. Kitano, A. Gusev, N. A. Zaitlen

This paper develops a statistical method to detect mutational bias and selection signals using GWAS data, finding evidence for non-neutral processes in traits like BMI and schizophrenia.

bioRxiv · Dec 3, 2018Evolutionary Biology