Author

Angela C. Tai

Harvard University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Genetics· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:whole-exome sequencing· 2 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:mouse· 1

Frequent Co-Authors

Christine E. SeidmaniD· 3 shared Jonathan G. SeidmaniD· 3 shared Bruce D. GelbiD· 2 shared Deepak SrivastavaiD· 2 shared Elizabeth GoldmuntziD· 2 shared Joshua GorhamiD· 2 shared Kathryn B. ManheimeriD· 2 shared Martin Tristani‐FirouziiD· 2 shared

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2018-2019 · peak 2/yr

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10 top collaborators · 45 mutual co-author links

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3 shared papersGenetics

Christine E. SeidmanORCID

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3 papers

Recent·Most cited

Early post-zygotic mutations contribute to congenital heart disease

Alexander Hsieh, Sarah U. Morton, Jon A. L. Willcox, Joshua Gorham, Angela C. Tai, Hongjian Qi, Steven R. DePalma, David M. McKean, Emily Griffin, Kathryn B. Manheimer, Daniel Bernstein, Richard W. Kim, Jane W. Newburger, George Arthur Porter Jr., Deepak Srivastava, , Yufeng Shen

The paper identifies mosaic mutations in blood and cardiac tissue from CHD patients, finding 1% of cases have detectable mosaic variants that may contribute to congenital heart disease.

bioRxiv · Aug 13, 2019 · PreprintBioinformatics

MYBPC3 Mutations cause Hypertrophic Cardiomyopathy by Dysregulating Myosin: Implications for Therapy

Christopher N. Toepfer, Hiroko Wakimoto, Amanda C. Garfinkel, Barbara A. McDonough, Dan Liao, Jianming Jiang, Angela C. Tai, Josh M. Gorham, Ida Gjervold Lunde, Mingyue Lun, Thomas L. Lynch, Sakthivel Sadayappan, Charles S Redwood, Hugh C Watkins, Jonathan G. Seidman, Christine E. Seidman

The paper shows that MYBPC3 mutations disrupt myosin relaxation states, leading to hyper-contractility in HCM, and that targeting myosin can alleviate these effects.

bioRxiv · Apr 18, 2018 · PreprintGenetics

Robust identification of deletions in exome and genome sequence data based on clustering of Mendelian errors

Kathryn B. Manheimer, Nihir Patel, Felix Richter, Joshua Gorham, Angela C. Tai, Jason G. Homsy, Marko T. Boskovski, Michael G. Parfenov, Elizabeth Goldmuntz, Wendy K. Chung, Martina K. Brueckner, Martin Tristani‐Firouzi, Deepak Srivastava, Jonathan G. Seidman, Christine E. Seidman, , Andrew J. Sharp

The paper introduces MEM, a method to identify deletion CNVs in WES and WGS trio data by clustering Mendelian errors, achieving high validation rates and detecting additional de novo deletions and contamination.

Human Mutation · Mar 11, 2018Peer-reviewedGenetics