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has been cited by the following article:

• TITLE: Transmission Based Conditional Logistic Model for Testing Main and Interaction Effects

  AUTHORS: Caixia Li, Peixing Li

  KEYWORDS: Transmission Disequilibrium Test, Gene-Covariate Interaction, Conditional Logistic Model, Expectation-Maximization Algorithm

  JOURNAL NAME: Open Journal of Statistics, Vol.11 No.5, October 11, 2021

  ABSTRACT: Transmission disequilibrium test (TDT) is a popular family based genetic association method. Under multiplicative assumption, a conditional logistic regression for matched pair, affected offspring with allele transmitted from parents and pseudo-offspring (control) with allele non-transmitted from parents, was built to detect the main effects of genes and gene-covariate interactions. When there exist genotype uncertainties, expectation-maximization (EM) algorithm was adopted to estimate the coefficients. The transmission model was applied to detect the association between M235T polymorphism in AGT gene and essential hypertension (ESH). Most of parents are not available in the 126 families from HongKong Chinese population. The results showed M235T is associated with hypertension and there is interaction between M235T and the case’s sex. The allele T is higher risk for male than female.