A comparison of statistical approaches for genetic anticipation with application to pancreatic cancer

Gleh R. Havnatzki, Randall E. Brand, Vera R. Haynatzka, Henry T. Lynch, Simon A. Sherman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Genetic anticipation for a particular disease can involve an earlier age at onset (or, diagnosis), greater severity, and/or a higher number of affected individuals in successive generations within a family. The variable of interest in our study of genetic anticipation was age at diagnosis of pancreatic cancer for different generations, with and without adjustment for time under observation. We compared nonparametric and semiparametric statistical tests for paired data. This comparison was illustrated on an example of familial pancreatic cancer where study subjects were taken from the Pancreatic Cancer Collaborative Registry (PCCR). The nonparametric test performed on our example better than the two semiparametric tests, and was more efficient in detecting risk differences at earlier ages. After adjusting for follow up time, all methods detected genetic anticipation.

Original languageEnglish (US)
Title of host publicationProceedings of the 40th Annual Hawaii International Conference on System Sciences 2007, HICSS'07
DOIs
StatePublished - Dec 1 2007
Event40th Annual Hawaii International Conference on System Sciences 2007, HICSS'07 - Big Island, HI, United States
Duration: Jan 3 2007Jan 6 2007

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
ISSN (Print)1530-1605

Other

Other40th Annual Hawaii International Conference on System Sciences 2007, HICSS'07
CountryUnited States
CityBig Island, HI
Period1/3/071/6/07

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All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Havnatzki, G. R., Brand, R. E., Haynatzka, V. R., Lynch, H. T., & Sherman, S. A. (2007). A comparison of statistical approaches for genetic anticipation with application to pancreatic cancer. In Proceedings of the 40th Annual Hawaii International Conference on System Sciences 2007, HICSS'07 [4076630] (Proceedings of the Annual Hawaii International Conference on System Sciences). https://doi.org/10.1109/HICSS.2007.9