Noah A. Zaitlen, PhD

Professor, Departments of Neurology and Computational Medicine

Member, Epigenomics, RNA and Gene Regulation

Languages

English

Education

Fellowships

Statistical Genetics, Tel Aviv University, 2010

Genetic Epidemiology and Biostatistics, Harvard School of Public Health, MA, 2012

Degrees

PhD, University of California, San Diego, 2009

MS, University of California, San Diego, 2006

BA, University of California, Berkeley, 2001

Contact Information

Email

[email protected]

Scientific Interests

The goal of Dr. Zaitlen's research is to accelerate the discovery and understanding of how genetic variation in humans and human tumors interact to affect clinically important components of cancer etiology including tumor growth, evolution, and response to therapy. He is particularly interested in the development of novel statistical and computational methods to aid in this pursuit.

Highlighted Publications

Gusev, Groha, S., Taraszka, K., Semenov, Y. R., & Zaitlen, N. (2021). Constructing germline research cohorts from the discarded reads of clinical tumor sequences. Genome Medicine., 13(1). https://doi.org/10.1186/s13073-021-00999-4

Hoffman JD, Graff RE, Emami NC, Tai CG, Passarelli MN, Hu D, Huntsman S, Hadley D, Leong L, Majumdar A, Zaitlen N, Ziv E, Witte JS. Cis-eQTL-based transethnic meta-analysis reveals novel genes associated with breast cancer risk. PLoS Genet. 2017 Mar 31;13(3):e1006690. doi: 10.1371/journal.pgen.1006690. PMID: 28362817; PMCID: PMC5391966.

Caswell JL, Camarda R, Zhou AY, Huntsman S, Hu D, Brenner SE, Zaitlen N, Goga A, Ziv E. Multiple breast cancer risk variants are associated with differential transcript isoform expression in tumors. Hum Mol Genet. 2015 Dec 20;24(25):7421-31. doi: 10.1093/hmg/ddv432. Epub 2015 Oct 15. PMID: 26472073; PMCID: PMC4664170.