Brief. Bioinformatics - A case-control design for testing and estimating epigenetic effects on complex diseases.

Tópicos

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Resumo

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.

Resumo Limpo

epigenet modif may play import role format progress complex diseas regul gene express systemat identif epigenet variant contribut human diseas can made possibl use genomewid associ studi gwas although epigenet effect current includ common use casecontrol design gwas show epigenet modif can integr casecontrol set dissolv overal genet effect differ compon addit domin epigenet describ general procedur test estim signific compon base convent chisquar test approach simul studi perform investig power falseposit rate procedur provid recommend practic use integr epigenet variant gwas can potenti improv understand genet environment stochast factor interact epiallel construct genet architectur complex diseas

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