Author

Jasmine Koh

The University of Texas Health Science Center at Houston

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· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Alanna MorrisoniD· 1 shared Alex P. ReineriD· 1 shared Chad A. ShawiD· 1 shared Claudia M.B. CarvalhoiD· 1 shared Daniel G. CalameiD· 1 shared Eric BoerwinkleiD· 1 shared Iman Egab· 1 shared Jacob Schmidt· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Alanna MorrisonORCID

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1 paper

Recent·Most cited

Unveiling the Hidden Rules: Enhancing NMD Prediction for Protein-Truncating Variants

Iman Egab, Jacob Schmidt, Michael A. Cortázar, Jiaoyang Xu, Peter Orchard, Moez Dawood, Tugce Bozkurt‐Yozgatli, Jasmine Koh, Luisa Mestroni, M Taylor, S. Stephen Yi, Daniel G. Calame, Jennifer Ellen Posey, Richard A. Gibbs, Eric Boerwinkle, , Zeynep Coban‐Akdemir

The paper develops a model to predict NMD outcomes for protein-truncating variants using RNA-seq data, achieving ~78% ROC-AUC and identifying non-canonical determinants.

bioRxiv · Oct 9, 2026 · PreprintGenomics