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Rachel Karchin, Ph.D.

Headshot of Rachel Karchin
  • Joint Appointment in Oncology

Research Interests

Computational models to interpret and predict the impact of individual variation in the genome, transcriptome, and proteome. ...read more

Background

Titles

  • Joint Appointment in Oncology

Departments / Divisions

  • Oncology - Cancer Genetics and Epigenetics

Centers & Institutes

Education

Degrees

  • Ph.D.; University of California (Santa Cruz) (California) (2003)

Research & Publications

Research Summary

Genetic variation is critical to our susceptibility to diseases and response to medications. Yet the functional consequences of most genetic variants are unknown. We are working to predict these consequences using computation, by integrating information from molecular modeling and sequence analysis with clinical patient data and in vitro functional studies, through collaborations with physicians, genetic counselors, and experimental biologists. We are particularly interested in inherited cancer susceptibilities and gain of function mutations in tumor genomes.

Selected Publications

View all on PubMed

Carter H, Chen S, Isik L, Tyekucheva S, Velculescu VE, Kinzler KW, Vogelstein B, Karchin R.(2009) Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations.Cancer Research. 69(16):6660-7

Carter H, Samayoa J, Hruban RH, Karchin R (2010) Prioritization of driver mutations in pancreatic cancer using cancer-specific high-throughput annnotation of somatic mutations (CHASM). Cancer Biology & Therapy. Sep 31;10(6):582-7.

Masica DL and Karchin R (2011) Correlation among somatic mutation expression identifies genes important in human glioblastoma progression and survival. Cancer Research. Jul 1;71(13):4550-61

Ryan M, Diekhans M, Lien S, Liu Y, Karchin R. (2009) LS-SNP/PDB: annotated non-synonymous SNPs mapped to Protein Data Bank structures. Bioinformatics. 25(11):1431-2 

Wong WC, Kim D, Carter H, Diekhans M, Ryan M and Karchin R (2011) CHASM and SNVBox: toolkit for detecting biologically important single nucleotide mutations in cancer. Bioinformatics. 27(15):2147-8

Contact for Research Inquiries

Phone: 410-516-5578
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