Email updates

Keep up to date with the latest news and content from BMC Proceedings and BioMed Central.

This article is part of the supplement: Genetic Analysis Workshop 15: Gene Expression Analysis and Approaches to Detecting Multiple Functional Loci

Open Access Proceedings

Application of structural equation models to construct genetic networks using differentially expressed genes and single-nucleotide polymorphisms

Seungmook Lee1, Mina Jhun2, Eun-Kyung Lee1 and Taesung Park1*

Author Affiliations

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

For all author emails, please log on.

BMC Proceedings 2007, 1(Suppl 1):S76  doi:

Published: 18 December 2007

Abstract

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.