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Generating Simulated Nuclear Families for TDT Type Methods
School of Mathematics, Sun Yat-sen University, Guangzhou, China
School of Mathematics, Sun Yat-sen University, Guangzhou, China
Guangdong Province Key Laboratory of Computational Science, Sun Yat-sen University, Guangzhou, China
- 1 School of Mathematics, Sun Yat-sen University, Guangzhou, China
- 2 School of Mathematics, Sun Yat-sen University, Guangzhou, China
- 3 Guangdong Province Key Laboratory of Computational Science, Sun Yat-sen University, Guangzhou, China
Open Journal of Statistics·Volume 14 (2024)·Pages 737–742·Published 5 November 2024·DOI10.4236/ojs.2024.146033
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Abstract
Transmission disequilibrium tests (TDT) is a well-known case-parents family-based method to detect the association between genetic polymorphisms and a disease phenotype. Various extensions of the TDT have been developed and widely applied in medical research. In this article, we introduced a simple simulation algorithm based on a transition model to generate general nuclear families rather than trios to simulate multiple tightly linked markers. The simulations show that the empirical distributions of the test statistics coincide with the expected distribution under the null hypothesis.
KeywordsGenetic Association StudyTransmission Disequilibrium TestSimulationHaplotypeLinkage Disequilibrium
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