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Activity Number:
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474
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Type:
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Contributed
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Date/Time:
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Wednesday, August 5, 2009 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #304141 |
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Title:
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A Statistical Model for the Identification of Genes Governing the Incidence of Cancer with Age
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Author(s):
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Kiranmoy Das*+
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Companies:
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Penn State University
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Address:
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445 Waupelani Dr.Apt. M1, State College, PA, 16801,
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Keywords:
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QTL ; Logistic model ; EM algorithm ; Likelihood ratio test ; cancer incidence ; genotypes
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Abstract:
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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 are estimated within the context of maximum likelihood. The model provides testable quantitative hypotheses. Computer simulations are done to study the statistical behavior of the model.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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