Accessing the power of conditional logistic regression to detect gene-gene interactions in case-parent trios with application to conotruncal heart defects
Abstract
Conotruncal heart defects (CTDs), which are malformations of cardiac outflow tracts and great arteries, are a subgroup of congenital heart defects. Most CTDs are nonsyndromic where genetic factors function through complex mechanisms involving interactions among multiple genetic and environmental factors. Evaluation of gene-gene interactions using genome-wide array data identify genes that are associated with diseases. The genotypic transmission disequilibrium test based on a conditional logistic regression model can be applied to genome-wide array genotype data from case-parent trios to identify gene-gene interactions associated with a disease. Using simulation, we evaluated the power of this method to detect gene-gene interactions in trios. The method was then used to detect gene-gene interactions associated with CTDs in a dataset of 333 Caucasian case-parent trios recruited at the Children's Hospital of Philadelphia from 1997–2007.
Subject Area
Biostatistics|Genetics|Statistics
Recommended Citation
Joshi, Harish, "Accessing the power of conditional logistic regression to detect gene-gene interactions in case-parent trios with application to conotruncal heart defects" (2013). Texas Medical Center Dissertations (via ProQuest). AAI1552471.
https://digitalcommons.library.tmc.edu/dissertations/AAI1552471