Quantitative trait loci (QTL) detection using the accelerated failure time cure model
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- Tez No: 523350
- Danışmanlar: Prof. NADER EBRAHIMI
- Tez Türü: Doktora
- Konular: Matematik, Mathematics
- Anahtar Kelimeler: Belirtilmemiş.
- Yıl: 2009
- Dil: İngilizce
- Üniversite: Northern Illionis University
- Enstitü: Yurtdışı Enstitü
- Ana Bilim Dalı: Belirtilmemiş.
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: 95
Özet
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Özet (Çeviri)
Many important problems in evolutionary biology begin with observations of phenotypic variation. For example, variation in survival time is partly due to genetic di erences among individuals and partly due to environmental factors. Developing statistical methodologies relating the unknown genotype of QTL (Quantitative Trait Loci) to the survival time of an individual is important in identifying the disease causing genes. In some genetic studies with survival end points the population under study consists of susceptible and nonsusceptible individuals. All susceptible subjects would eventually experience the event in the absence of censoring, while nonsusceptible subjects are not at risk of developing such events and can be regarded as \cured." In this thesis we will discuss a procedure to detect the QTL locations for survival data using Accelerated Failure Time Cure Model. This thesis is organized as follows. In Chapter 1, we give a brief review of the literature and introduce several terminologies. In Chapter 2, we concentrate on detection of QTL using parametric Accelerated Failure Time Cure Model. For that we propose two methods, namely EM-algorithm and imputation methods to estimate the unknown parameters. In Chapter 3, we work on identifying the QTL using nonparametric Accelerated Failure Time Cure model. In Chapters 4 and 5, we study the asymptotic behavior of LOD scores and compare them with empirical LOD scores obtained by permuting the phenotypes of survival times of the data. Finally in Chapter 6, we describe several problems that we plan to work in the future.
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