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40th Annual Hawaii International Conference on System Sciences (HICSS'07)
Big Island, Hawaii
January 03-January 06
ISBN: 0-7695-2755-8
Gleb R. Haynatzki, CUSOM - SJH - Osteoporosis, Omaha
Randall E. Brand, Evanston Northwestern Healthcare
Vera R. Haynatzka, Creighton University School of Medicine
Henry T. Lynch, Creighton University School of Medicine
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.
Citation:
Gleb R. Haynatzki, Randall E. Brand, Vera R. Haynatzka, Henry T. Lynch, "A Comparison of Statistical Approaches for Genetic Anticipation with Application to Pancreatic Cancer," hicss, pp.129b, 40th Annual Hawaii International Conference on System Sciences (HICSS'07), 2007
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