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Detecting Differentially Methylated Genes Associated with Drug Response

Author

Listed:
  • Hongyan Xu
  • Fengjiao Hu
  • Santu Ghosh
  • Sunil Mathur
  • Varghese George

    (Department of Population Health Sciences, Augusta University, USA)

Abstract

DNA methylation has long been involved in inter-individual variations in drug response. In this study, we focused on the methylation changes associated with the response in terms of triglyceride changes before and after the treatment with fenofibrate using the real data set. We analyzed samples that are independent (founders and marry-ins) from each pedigree. Subjects were categorized into responders and non-responders according to percent changes in triglyceride. We then applied a novel spatial scan statistic to identify genes that are differentially methylated between the responders and non-responders. All the CpG sites within a gene were analyzed together. The spatial scan statistic approach uses a mixed-effects model to incorporate correlations of methylation rates among CpG sites. We analyzed the methylation data at visit 2, accounting for the effects of age, sex, and smoking status as covariates. Methylation levels at 312 genes from 22 autosomes were significantly associated with drug response with p

Suggested Citation

  • Hongyan Xu & Fengjiao Hu & Santu Ghosh & Sunil Mathur & Varghese George, 2019. "Detecting Differentially Methylated Genes Associated with Drug Response," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 9(3), pages 69-71, March.
    • Handle: RePEc:adp:jbboaj:v:9:y:2019:i:3:p:69-71
    DOI: 10.19080/BBOAJ.2019.09.555763
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