title: Special considerations in prognostic research in cancer involving genetic polymorphisms.
abstract: Analysis of genetic polymorphisms may help identify putative prognostic markers and determine the biological basis of variable prognosis in patients. However, in contrast to other variables commonly used in the prognostic studies, there are special considerations when studying genetic polymorphisms. For example, variable inheritance patterns (recessive, dominant, codominant, and additive genetic models) need to be explored to identify the specific genotypes associated with the outcome. In addition, several characteristics of genetic polymorphisms, such as their minor allele frequency and linkage disequilibrium among multiple polymorphisms, and the population substructure of the cohort investigated need to be accounted for in the analyses. In addition, in cancer research due to the genomic differences between the tumor and non-tumor DNA, differences in the genetic information obtained using these tissues need to be carefully assessed in prognostic studies. In this article, we review these and other considerations specific to genetic polymorphism by focusing on genetic prognostic studies in cancer.
authors.affiliation: Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St, John's, Newfoundland, Canada. savas@mun.ca
authors.forename: Sevtap
authors.initials: S
authors.lastname: Savas
authors.forename: Geoffrey
authors.initials: G
authors.lastname: Liu
authors.forename: Wei
authors.initials: W
authors.lastname: Xu
mesh_terms: D000818:Animals; D005787:Gene Frequency / Q000235:genetics; D008040:Genetic Linkage / Q000235:genetics; D020022:Genetic Predisposition to Disease / Q000453:epidemiology / Q000235:genetics*; D006801:Humans; D009369:Neoplasms / Q000175:diagnosis / Q000453:epidemiology / Q000235:genetics*; D011110:Polymorphism, Genetic / Q000235:genetics*; D011379:Prognosis; D057170:Translational Research, Biomedical / Q000379:methods* / Q000639:trends