Author

Lara E. Sucheston‐Campbell

The Ohio State UniversityORCID 0000-0002-2687-3112Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2 Genetic & Genomic Medicine· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Assay:GWAS summary statistics· 3 Organism:human· 3 Research Focus:GWAS / association mapping· 2 Research Focus:benchmarking· 1

Frequent Co-Authors

Theresa HahniD· 4 shared Junke WangiD· 3 shared Abbas Rizvi· 2 shared Alyssa Clay‐GilmouriD· 2 shared Amy WebbiD· 2 shared Christopher A. HaimaniD· 2 shared Ezgi KaraesmeniD· 2 shared Friedrich StölzeliD· 2 shared

Activity by Year

2018-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersGenomics

Theresa HahnORCID

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4 papers

Recent·Most cited

GeneticsbioRxivPreprintAug 31, 2022

Associations of Minor Histocompatibility Antigens with Clinical Outcomes Following Allogeneic Hematopoietic Cell Transplantation

Othmane Jadi, Hancong Tang, Kelly Shea Olsen…·Lara E. Sucheston‐Campbell

This study investigates the association between predicted minor histocompatibility antigens (mHAs) and clinical outcomes in allogeneic hematopoietic cell transplantation using multivariate survival models.

DOI 10.1101/2022.08.31.506092

humanstatistical model

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Genetic & Genomic MedicineNature CommunicationsPeer-reviewedOct 29, 2021

Genome-wide association study identifies susceptibility loci for acute myeloid leukemia

Wei‐Yu Lin, Sarah Elizabeth Fordham, Eric A. Hungate…·James M. Allan

This study identifies two genome-wide significant susceptibility loci for acute myeloid leukemia through a meta-analysis of GWAS data.

44 citations

humanGWAS summary statistics

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GenomicsFrontiers in GeneticsPeer-reviewedJun 17, 2021

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

Junke Wang, Alyssa Clay‐Gilmour, Ezgi Karaesmen…·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.

17 citations

humanGWAS summary statistics

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GenomicsBioinformaticsPeer-reviewedNov 1, 2018

gwasurvivr: an R package for genome wide survival analysis

Abbas Rizvi, Ezgi Karaesmen, Martin T. Morgan…·Lara E. Sucheston‐Campbell

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

122 citationstop 3%

GWAS summary statisticsstatistical model

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