Accessing the power of conditional logistic regression to detect gene-gene interactions in case-parent trios with application to conotruncal heart defects

Harish Joshi, The University of Texas School of Public Health

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

COinS