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A case-control design for testing and estimating epigenetic effects on complex diseases
- Source :
- Briefings in bioinformatics. 15(2)
- Publication Year :
- 2013
-
Abstract
- Epigenetic modifications may play an important role in the formation and progression of complex diseases through the regulation of gene expression. The systematic identification of epigenetic variants that contribute to human diseases can be made possible using genome-wide association studies (GWAS), although epigenetic effects are currently not included in commonly used case–control designs for GWAS. Here, we show that epigenetic modifications can be integrated into a case–control setting by dissolving the overall genetic effect into its different components, additive, dominant and epigenetic. We describe a general procedure for testing and estimating the significance of each component based on a conventional chi-squared test approach. Simulation studies were performed to investigate the power and false-positive rate of this procedure, providing recommendations for its practical use. The integration of epigenetic variants into GWAS can potentially improve our understanding of how genetic, environmental and stochastic factors interact with epialleles to construct the genetic architecture of complex diseases.
- Subjects :
- Regulation of gene expression
Genetics
Stochastic Processes
Chi-Square Distribution
Models, Genetic
Genome-wide association study
Case control design
Computational biology
Biology
Genetic architecture
Epigenesis, Genetic
Case-Control Studies
Papers
Humans
Identification (biology)
Computer Simulation
Disease
Gene-Environment Interaction
Epigenetics
Molecular Biology
Information Systems
Genetic association
Genome-Wide Association Study
Subjects
Details
- ISSN :
- 14774054
- Volume :
- 15
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Briefings in bioinformatics
- Accession number :
- edsair.doi.dedup.....a6212c6e9e7d7122988a3eddfff4859e