Author

Marco Matejcic

Moffitt Cancer CenterORCID 0009-0004-9468-0664Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:differential expression· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Erin M. SiegeliD· 2 shared Stephanie L. SchmitiD· 2 shared Aesun ShiniD· 1 shared Alicja WolkiD· 1 shared Amanda I. PhippsiD· 1 shared Andrea GsuriD· 1 shared Andrea N. Burnett‐HartmaniD· 1 shared Andrew Tan ChaniD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Erin M. SiegelORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Spectrum of somatic mutational features of colorectal tumors in ancestrally diverse populations

Marco Matejcic, Jamie K. Teer, Hannah J. Hoehn, Diana B. Díaz, Kritika Shankar, Jun Gong, Nathalie T. Nguyen, Nicole Catalina Lorona, Domenico Coppola, Clifton G. Fulmer, Ozlen Saglam, Kun Jiang, William Douglas Cress, Teresita Muñoz-Antonia, Idhaliz Flores, , Stephanie L. Schmit

This study analyzes somatic mutational features in colorectal tumors from ancestrally diverse populations, finding ethnic and genetic ancestry associations with mutation patterns.

medRxiv · Mar 11, 2024 · PreprintGenetic & Genomic Medicine

Combining Asian-European Genome-Wide Association Studies of Colorectal Cancer Improves Risk Prediction Across Race and Ethnicity

Minta Thomas, Yu‐Ru Su, Elisabeth A. Rosenthal, Lori C. Sakoda, Stephanie L. Schmit, Maria N Timofeeva, Zhishan Chen, Ceres Fernández–Rozadilla, Philip Law, Neil Murphy, Robert Carreras‐Torres, Virginia Díez‐Obrero, Fränzel JB van Duijnhoven, Shangqing Jiang, Aesun Shin, , Taiki Yamaji

This study improves polygenic risk scores for colorectal cancer by combining Asian and European ancestry data, enhancing risk prediction across diverse racial and ethnic groups.

medRxiv · Jan 19, 2023 · PreprintGenetic & Genomic Medicine