tailieunhanh - Báo cáo y học: " A statistical model for the identification of genes governing the incidence of cancer with age"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: " A statistical model for the identification of genes governing the incidence of cancer with age | Theoretical Biology and Medical Modelling BioMed Central Research A statistical model for the identification of genes governing the incidence of cancer with age Kiranmoy Das1 and Rongling Wu 1 2 3 Open Access Address Department of Statistics University of Florida Gainesville FL 32611 USA 2UF Genetics Institute University of Florida Gainesville FL 32611 USA and 3Department of Operation Research and Financial Engineering Princeton University Princeton NJ 08544 USA Email Kiranmoy Das - Kiranmoy@ RonglingWu - rwu@ Corresponding author Published 16 April 2008 Received 15 September 2007 Theoretical Biology and Medical Modelling 2008 5 7 doi 1742-4682-5-7 Accepted 16 April 2008 This article is available from http content 5 1 7 2008 Das and Wu licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract__ The cancer incidence increases with age. This epidemiological pattern of cancer incidence can be attributed to molecular and cellular processes of individual subjects. Also the incidence of cancer with ages can be controlled by genes. Here we present a dynamic statistical model for explaining the epidemiological pattern of cancer incidence based on individual genes that regulate cancer formation and progression. We incorporate the mathematical equations of age-specific cancer incidence into a framework for functional mapping aimed at identifying quantitative trait loci QTLs for dynamic changes of a complex trait. The mathematical parameters that specify differences in the curve of cancer incidence among QTL genotypes are estimated within the context of maximum likelihood. The model provides testable quantitative .