Author

Michelle Tang

University of California, DavisORCID 0000-0002-8779-8697Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Michelle Tang1 paper · University of California San Diego

Biology Disciplines

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Genetics· 4 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Research Focus:variant effect prediction· 3 Assay:DNA methylation· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Organism:yeast· 2 Organism:Arabidopsis· 1

Frequent Co-Authors

Aimée M. DudleyiD· 4 shared Gareth A. CromieiD· 4 shared J. Nathan KutziD· 3 shared Russell S. LoiD· 3 shared Amy SirriD· 2 shared Andrea Lynne GropmaniD· 2 shared Hiroki MorizonoiD· 2 shared Katherine L. OwensiD· 2 shared

Activity by Year

2021-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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4 shared papersGenetics

Aimée M. DudleyORCID

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5 papers

Recent·Most cited

Functional Profiling of 2,193 ASS1 Missense Variants: Insights into Variant Pathogenicity and Epistatic Interactions in Citrullinemia Type I

Russell S. Lo, Gareth A. Cromie, Michelle Tang, Amy Sirr, Ljubica Caldovic, Hiroki Morizono, Nicholas Ah Mew, Andrea Lynne Gropman, Aimée M. Dudley

The paper functionally profiles 2193 ASS1 missense variants to determine their pathogenicity and epistatic interactions in Citrullinemia Type I.

PLoS Genetics · Jun 17, 2026Peer-reviewedGenetics

Pervasive context-dependent effects in the genetic architecture of complex and quantitative traits revealed by a powerful multiparent mapping population in yeast

Gareth A. Cromie, Russell S. Lo, Lauren Ames, Trey S. Morgan, Katherine L. Owens, Anne E. Clark, Martin S. Timour, Julee Ashmead, Michelle Tang, J. Nathan Kutz, Joshua M. Akey, Aimée M. Dudley

The paper uses a multiparent yeast population to identify QTL for growth rates across environments, revealing context-dependent genetic architectures and allelic heterogeneity.

bioRxiv · Oct 27, 2025 · PreprintGenetics

Predicting the functional effect of compound heterozygous genotypes from large scale variant effect maps

Michael J. Xie, Gareth A. Cromie, Katherine L. Owens, Martin S. Timour, Michelle Tang, J. Nathan Kutz, Ayman W. El‐Hattab, Richard N. McLaughlin, Aimée M. Dudley

The paper predicts the functional effect of compound heterozygous genotypes using a yeast-based assay and a linear model applied to variant effect maps.

PLoS Genetics · Oct 9, 2023Peer-reviewedGenetics

The functional impact of 1,570 SNP-accessible missense variants in human OTC

Russell S. Lo, Gareth A. Cromie, Michelle Tang, Kevin Teng, Katherine Owens, Amy Sirr, J. Nathan Kutz, Richard N. McLaughlin, Hiroki Morizono, Ljubica Caldovic, Nicholas Ah Mew, Andrea Lynne Gropman, Aimée M. Dudley

The paper develops a high-throughput functional assay to assess the impact of 1,570 OTC missense variants, improving variant interpretation using ACMG/AMP guidelines.

The American Journal of Human Genetics · May 1, 2023Peer-reviewedGenetics

A Genome-Scale TF-DNA Interaction Network of Transcriptional Regulation of Arabidopsis Primary and Specialized Metabolism

Michelle Tang, Baohua Li, Xue Zhou, Tayah M. Bolt, Jia Jie Li, Neiman Cruz, Allison Gaudinier, Richard T. Ngo, Caitlin Clark-Wiest, Daniel J. Kliebenstein, Siobhán M. Brady

The paper constructs a genome-scale transcriptional regulatory network for Arabidopsis metabolic genes, revealing distinct regulatory principles compared to microbes.

Molecular Systems Biology · Nov 1, 2021Peer-reviewedSystems Biology