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.