Author

Elizabeth P. Blankenhorn

Drexel UniversityORCID 0000-0002-6331-0319Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 3 Organism:mouse· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:human· 1

Frequent Co-Authors

Abbas RazaiD· 2 shared Anna L. TyleriD· 2 shared Cory TeuscheriD· 2 shared Dimitry N. KrementsoviD· 2 shared Laure K. Case· 2 shared Rui HuangiD· 2 shared Agnes Andersson SvärdiD· 1 shared Åke LernmarkiD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersGenetics

Abbas RazaORCID

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3 papers

Recent·Most cited

Polymorphisms in Intron 1 of HLA-DRA Differentially Associate with Type 1 Diabetes and Celiac Disease and Implicate Involvement of Complement System Genes C4A and C4B

Özkan Aydemir, Jeffrey A. Bailey, Daniel Agardh, Åke Lernmark, Janelle Annette Noble, Agnes Andersson Svärd, Elizabeth P. Blankenhorn, Hemang M. Parikh, Anette‐Gabriele Ziegler, Jorma Toppari, Beena Akolkar, William Hagopian, Marian J. Rewers, John P. Mordes, TEDDY Study Group

The paper identifies tri-SNP haplotypes in HLA-DRA associated with type 1 diabetes and celiac disease, and links them to differences in complement system genes C4A and C4B.

eLife · Feb 2, 2026Peer-reviewedGenetic & Genomic Medicine

Genetic Analysis of Bphse: a Novel Gene Complementing Resistance to Bordetella pertussis-Induced Histamine Sensitization

Abbas Raza, Sean A. Diehl, Laure K. Case, Dimitry N. Krementsov, Dawei Li, Jason Kost, Robyn L. Ball, Elissa J. Chesler, Vivek M. Philip, Rui Huang, Yan Chen, Runlin Ma, Anna L. Tyler, J. Mathew Mahoney, Elizabeth P. Blankenhorn, Cory Teuscher

The paper identifies a genetic modifier locus, Bphse, that complements resistance to histamine sensitization in mice by analyzing Hrh1 alleles and using network-based methods.

bioRxiv · Aug 18, 2021 · PreprintGenetics

Network-based functional prediction augments genetic association to predict candidate genes for histamine hypersensitivity in mice

Anna L. Tyler, Abbas Raza, Dimitry N. Krementsov, Laure K. Case, Rui Huang, Runlin Z. Ma, Elizabeth P. Blankenhorn, Cory Teuscher, J. Matthew Mahoney

The paper uses network-based functional prediction to prioritize candidate genes in a mouse histamine hypersensitivity QTL, identifying genes with strong functional associations and SNP proximity.

G3 Genes Genomes Genetics · Oct 23, 2019Peer-reviewedGenetics