Author

Abbas Rizvi

The Ohio State University

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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Genomics· 2

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1

Frequent Co-Authors

Ezgi KaraesmeniD· 2 shared Junke WangiD· 2 shared Lara E. Sucheston‐CampbelliD· 2 shared Leah M. Preus· 2 shared Theresa HahniD· 2 shared Alyssa Clay‐GilmouriD· 1 shared Amy WebbiD· 1 shared Christopher A. HaimaniD· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

Ezgi KaraesmenORCID

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2 papers

Recent·Most cited

Genome-wide association analyses identify variants in IRF4 associated with acute myeloid leukemia and myelodysplastic syndrome susceptibility

Junke Wang, Alyssa Clay‐Gilmour, Ezgi Karaesmen, Abbas Rizvi, Qianqian Zhu, Li Yan, Leah M. Preus, Song Liu, Yiwen Wang, Elizabeth A. Griffiths, Daniel O. Stram, Loreall Pooler, Xin Sheng, Christopher A. Haiman, David Van Den Berg, , Lara E. Sucheston‐Campbell

This study identifies IRF4 variants associated with increased risk of de novo AML and MDS through GWAS and TWAS analyses using the DISCOVeRY-BMT cohorts.

Frontiers in Genetics · Jun 17, 2021Peer-reviewedGenomics

gwasurvivr: an R package for genome wide survival analysis

Abbas Rizvi, Ezgi Karaesmen, Martin T. Morgan, Leah M. Preus, Junke Wang, Michael G. Sovic, Theresa Hahn, Lara E. Sucheston‐Campbell

gwasurvivr is an R package for genome-wide survival analysis that is faster and more scalable than existing tools.

Bioinformatics · Nov 1, 2018Peer-reviewedGenomics