Abstract
BackgroundMetabolic syndrome has become a major public health challenge worldwide. The association between metabolic syndrome and DNA methylation is of great research interest.ResultsWe constructed a binomial model to investigate the association between a metabolic syndrome index and DNA methylation in the Normative Aging Study. We applied the Iterative Sure Independence Screening (ISIS) method with elastic net penalty to DNA methylation levels at 484,548 CpG markers from 659 human subjects, and demonstrated that the screening step in ISIS can significantly improve the performance of the elastic net.ConclusionThe proposed method identifies four CpGs which can be mapped to two biologically relevant and functional genes. Identification of significant CpG markers may potentially have practical implications for disease prevention and treatment.
Highlights
IntroductionThe association between metabolic syndrome and DNA methylation is of great research interest
Metabolic syndrome has become a major public health challenge worldwide
Our goal is to explore the associations between metabolic syndrome and ultra-high dimensional DNA methylation markers
Summary
The association between metabolic syndrome and DNA methylation is of great research interest. DNA methylation is an epigenetic mechanism for regulating gene expression. It involves the modification of a cytosine (C) base by adding a methyl group. DNA methylation typically occurs at CpG sites, i.e., regions of DNA where cytosine (C) and guanine (G) bases are linked by a phosphate. It can suppress the expression of neighboring genes without changing the underlying genetic sequence. Methylation has been the most commonly studied epigenetic marker because of its transmissibility during cell division as well as stability in stored and processed blood samples. Deciphering the DNA methylation code will help us predict and prevent diseases [1, 2]
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