Author

Jan B. Egan

Mayo Clinic in ArizonaORCID 0000-0002-2155-3099Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:differential expression· 2 Approach:statistical model· 2 Research Focus:database / resource· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Aleksandar SekulićiD· 2 shared Alan Haruo BryceiD· 1 shared Anthony C. LuehrsiD· 1 shared Barbara A. PockajiD· 1 shared Bradon R. McDonaldiD· 1 shared Brenda J. ErnstiD· 1 shared Carlo C. MaleyiD· 1 shared Chadi AyoubiD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Aleksandar SekulićORCID

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Author profile →

3 papers

Recent·Most cited

Meta-analysis of genome-wide association studies of doxorubicin-induced arrhythmia identifies MMP16 and KCTD15 as risk loci

Joseph S. Reddy, Milagros Pereyra, Mohammed Tiseer Abbas, Reza Arsanjani, Isaac Prah, Nicholas James Boddicker, James R. Cerhan, Melissa C. Larson, Mwangi Raphael, Thomas Matthew Habermann, Hector R. Villarraga, Robert Alan Vierkant, Anthony C. Luehrs, Hugues Sicotte, Jan B. Egan, , Nadine Norton

This study identifies genetic risk loci for doxorubicin-induced arrhythmia through GWAS meta-analysis and validates their functional relevance in human and zebrafish models.

Circulation Genomic and Precision Medicine · Jul 29, 2026Peer-reviewedGenetic & Genomic Medicine

Analysis of fragment ends in plasma DNA from patients with cancer

Karan Kumar Budhraja, Bradon R. McDonald, Michelle D. Stephens, Tania Contente‐Cuomo, Havell Markus, Maria Farooq, Patricia Filippsen Favaro, Sydney C Connor, Sara Ann Byron, Jan B. Egan, Brenda J. Ernst, Timothy K. McDaniel, Aleksandar Sekulić, Nhan L. Tran, Michael D. Prados, , Muhammed Murtaza

Analyzing the positioning and nucleotide sequence at fragment ends in plasma DNA may enable cancer diagnostics.

Science Translational Medicine · Jan 11, 2023Peer-reviewedGenetic & Genomic Medicine

Contextual Classifications of Cancer Driver Genes

Pramod Bharadwaj Chandrashekar, Navid Ahmadinejad, Junwen Wang, Aleksandar Sekulić, Jan B. Egan, Yan W. Asmann, Sudhir Kumar, Carlo C. Maley, Li Liu

This study introduces a computational method to classify cancer driver genes as oncogenes or tumor suppressors based on mutation patterns across 33 cancer types, identifying novel genes and revealing context-specific functions.

Bioinformatics · Nov 12, 2019Peer-reviewedBioinformatics