Author

Gail Jarvik

University of Washington

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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Genetic & Genomic Medicine· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Adriana Estela Sedeño-CortésiD· 1 shared Alan H. BeggsiD· 1 shared Ali G. GharaviiD· 1 shared Alicia Yiran ZhouiD· 1 shared Amy TayloriD· 1 shared Andreas A. Theodorou· 1 shared Andrew B. StergachisiD· 1 shared Andrew HaddadiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Adriana Estela Sedeño-CortésORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Long-read transcriptome analysis using IsoRanker for identifying pathogenic variants in Mendelian conditions

Yong-Han Hank Cheng, Adriana Estela Sedeño-Cortés, Jane E. Ranchalis, Katherine M. Munson, Mitchell Robert Vollger, Elsa V. Balton, Casie A. Genetti, Jenny L. Wilson, Monica Hsiung Wojcik, Alan H. Beggs, Michael J. Bamshad, Chia‐Lin Wei, Katrina M. Dipple, Runjun D. Kumar, Mark D. Fleming, , Andrew B. Stergachis

IsoRanker uses long-read transcriptomics to prioritize non-coding variants in Mendelian conditions by detecting expression outliers, allelic imbalance, and NMD, leading to the identification of pathogenic variants in one individual.

The American Journal of Human Genetics · Aug 25, 2026Peer-reviewedGenetic & Genomic Medicine

The frequency of pathogenic variation in the All of Us cohort reveals ancestry-driven disparities

Eric Venner, Karynne Patterson, Divya Kalra, Marsha M. Wheeler, Yi–Ju Chen, Sara E. Kalla, Bo Yuan, Jason H. Karnes, Kimberly Walker, Joshua D. Smith, Sean R. McGee, Aparna Radhakrishnan, Andrew Haddad, Philip E. Empey, Qiaoyan Wang, , May Okihiro

The paper analyzes pathogenic variant frequencies in the All of Us cohort by ancestry, revealing disparities and potential biases in genomic data.

Communications Biology · Feb 19, 2024Peer-reviewedGenetic & Genomic Medicine