中國醫藥大學機構典藏 China Medical University Repository, Taiwan:Item 310903500/26456
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 29490/55136 (53%)
Visitors : 1996044      Online Users : 517
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://ir.cmu.edu.tw/ir/handle/310903500/26456


    Title: 族群分類及/或錯誤資料下對基因-環境/基因-基因交互作用的效應及其調整
    The Effects and Adjustments of Bias Due to Population Stratification And/Or Misclassification in Studies of Gene-Environment/Gene-Gene Interactions
    Authors: 鄭光甫(Kuang-Fu Cheng)
    Contributors: 健康照護學院口腔衛生學系;中國附醫院長室
    Date: 2010-07-31
    Issue Date: 2010-09-08 17:08:11 (UTC+8)
    Abstract: Population stratification (PS) and misclassification (MC) of genotype may cause the usual tests in case-control studies producing spurious gene-disease associations. To control for the resulting bias, several powerful approaches have been proposed using unlinked markers. However, the effects of PS and MC of genotype and environmental exposure in studies of gene-environment interactions are still not clear. In my research project, I propose to investigate and control the effects of PS and MC in case-control and case-only studies under general conditions. My first plan is to identify some important conditions under which population stratification and/or misclassification do not introduce bias in case-control or case-only studies of gene-environment interactions. If the effects of PS and MC do exist, another interesting issue is the magnitude of the bias. I propose to study the bounds of the bias and use information related to bounds to control the effect of PS and MC. My final plan is to suggest a new study design so that PS and/or MC can be automatically accounted for. I shall also conduct some simulation studies, with the help from my students and using parameter values from real examples, to compare the power performance of different tests for gene-environment interactions under PS and MC. My preliminary results show that some interesting method do provide valid test for interactions. However, these methods are not powerful, especially when the genetic factors have strong main effects on the risk of disease.
    Appears in Collections:[Department of Dental Hygiene] Research reports

    Files in This Item:

    File Description SizeFormat
    NSC97-2118-M039-001-MY3.pdf464KbAdobe PDF182View/Open


    All items in CMUR are protected by copyright, with all rights reserved.

     


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback