Survival prediction based on inherited gene variation analysis

Mine S. Cicek, Matthew J. Maurer, Ellen L. Goode

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

There is a significant variation of outcome among ovarian cases. Clinical features such as age, stage, comorbidities, or degree of debulking are known prognostic factors for the disease. However, additional variation remains unexplained, some of which may be due to inherited factors. Here, we describe identification of survival-associated inherited variants in ovarian cancer that can enhance our current prognostic capabilities.

Original languageEnglish (US)
Title of host publicationOvarian Cancer
Subtitle of host publicationMethods and Protocols
EditorsAnastasia Malek, Oleg Tchernitsa
Pages53-64
Number of pages12
DOIs
StatePublished - Aug 21 2013

Publication series

NameMethods in Molecular Biology
Volume1049
ISSN (Print)1064-3745

Keywords

  • Candidate genes
  • Inherited variation
  • Ovarian cancer-related pathways
  • Pathway analysis
  • Survival prediction
  • tagSNP

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

Fingerprint Dive into the research topics of 'Survival prediction based on inherited gene variation analysis'. Together they form a unique fingerprint.

  • Cite this

    Cicek, M. S., Maurer, M. J., & Goode, E. L. (2013). Survival prediction based on inherited gene variation analysis. In A. Malek, & O. Tchernitsa (Eds.), Ovarian Cancer: Methods and Protocols (pp. 53-64). (Methods in Molecular Biology; Vol. 1049). https://doi.org/10.1007/978-1-62703-547-7_5