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Gene And The Disease Is Not Associated Conditions

Posted on:2002-05-06Degree:MasterType:Thesis
Country:ChinaCandidate:X L WangFull Text:PDF
GTID:2204360032952765Subject:Basic mathematics
Abstract/Summary:PDF Full Text Request
This paper aimed at Simpson抯 Paradox, and based on the definition of association measures, studied the association of marker gene and disease by applying of case-control studies. The population was divided into case and control groups, and by compare the frequency of gene i , namely define condition association measures Y,,(k) = ?l%lk?correspondingly, part margin association measures = 桺 ,and margin association ijJa, measures P =1~ 桱~.. Where i is marker gene, j is case, J is control, w is part subpopulation, + is total population. The condition of unassociation of gene and disease was deduced, that is, the probability of gene is equal and the disease risk is of the same in normal state. The condition is sufficient when neglect population stratification, especially, when the population is consisted by two subpopulation, it becomes sufficient and necessary condition. When the population stratification (no matter how stratify) considered, it is sufficient and necessary condition. By investigation of population stratification, this paper demonstrated the practice background of unassociation of gene and disease.
Keywords/Search Tags:Human Genome Project, spurious association, liability gene, association, Simpson's Parado
PDF Full Text Request
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