This article is part of the supplement: Genetic Analysis Workshop 15: Gene Expression Analysis and Approaches to Detecting Multiple Functional Loci
Application of structural equation models to construct genetic networks using differentially expressed genes and single-nucleotide polymorphisms
1 Department of Statistics, Seoul National University, San 56-1, Sillim-dong, Gwanak-gu, Seoul 151-742, Korea
2 Interdisciplinary Program in Bioinformatics, Seoul National University, San 56-1, Sillim-dong, Gwanak-gu, Seoul 151-742, Korea
BMC Proceedings 2007, 1(Suppl 1):S76 doi:Published: 18 December 2007
Understanding the genetic basis of human variation is an important goal of biomedical research. In this study, we used structural equation models (SEMs) to construct genetic networks to model how specific single-nucleotide polymorphisms (SNPs) from two genes known to cause acute myeloid leukemia (AML) by somatic mutation, runt-related transcription factor 1 (RUNX1) and ets variant gene 6 (ETV6), affect expression levels of other genes and how RUNX1 and ETV6 are related to each other. The SEM approach allows us to compare several candidate models from which an explanatory genetic network can be constructed.