Author

Martina Krenzer

Yale University

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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Genetics· 1 Genomics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Approach:statistical model· 3 Research Focus:gene regulatory network inference· 2 Organism:mouse· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

James P. NoonaniD· 3 shared Kristina Yim· 2 shared Rebecca MuhleiD· 2 shared Timothy NottoliiD· 2 shared A. Ercüment ÇiçekiD· 1 shared Acadia A. KocheriD· 1 shared Angeliki LouviiD· 1 shared Daniel B. BurkhardtiD· 1 shared

Activity by Year

2018-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersNeuroscience

James P. NoonanORCID

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3 papers

Recent·Most cited

Cell type-specific dysregulation of gene expression due to Chd8 haploinsufficiency during mouse cortical development

Kristina Yim, Marybeth Baumgartner, Martina Krenzer, María F. Rosales Larios, Guillermina Hill-Terán, Timothy Nottoli, Rebecca Muhle, James P. Noonan

This study identifies cell type-specific gene expression changes in Chd8 haploinsufficient mouse cortex during development, highlighting dysregulation in progenitors and neurons.

Cell Genomics · Sep 17, 2025Peer-reviewedNeuroscience

Modeling uniquely human gene regulatory function in humanized mice

Emily V. Dutrow, Deena Emera, Kristina Yim, Severin Uebbing, Acadia A. Kocher, Martina Krenzer, Timothy Nottoli, Daniel B. Burkhardt, Smita Krishnaswamy, Angeliki Louvi, James P. Noonan

The paper examines the role of the human-specific enhancer HACNS1 in human evolution by analyzing its effects on gene expression in humanized mice.

Nature Communications · Jan 13, 2022Peer-reviewedGenomics

A statistical framework for mapping risk genes from de novo mutations in whole-genome sequencing studies

Yuwen Liu, Yanyu Liang, A. Ercüment Çiçek, Zhongshan Li, Jinchen Li, Rebecca Muhle, Martina Krenzer, Yue Mei, Yan Wang, Nicholas Knoblauch, Jean Morrison, Siming Zhao, Yi Wei Jiang, Evan T. Geller, Iuliana Ionita‐Laza, , Xin He

This paper introduces a statistical framework to identify risk genes from de novo mutations in whole-genome sequencing studies, finding new autism risk genes.

The American Journal of Human Genetics · May 10, 2018Peer-reviewedGenetics