This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The purpose of this grant application is to continue to develop an analytic framework, the regressive models for the analysis of family data, and to facilitate the transfer of this new biostatistical methodology to genetic epidemiology through the development of the software G.E.M.S. My studies in the genetic epidemiology of cancer are based on families of two or more generations. Such family studies include the assessment of the role of measured risk factors taking into account specific biologic relationships, the determination of the distribution and familial correlations in age-of-onset, segregation and linkage to determine the possible involvement of genes in the etiology of the disease. The desired statistical framework encompasses dependence with or without reference to genes transmitted in families according to the laws of genetics. Proposed developments include broadly applicable distributions and classification and regression trees (CART) method for screening large numbers of markers and other risk factors. These are then adapted to do the following: Modeling and analysis of familial aggregation of disease and risk factors including genetic markers. Distribution and familial correlations in age-of-onset; Segregation and linkage analyses. The methods will be implemented in the software package, G.E.M.S., which is designed to be user-friendly and portable across common computing platforms.
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