Metabolic syndrome has become a major public health challenge worldwide. The association between metabolic syndrome and DNA methylation is of great research interest. We 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. The 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.

Last modified

• 05/10/2017

Creator

• Joel Schwartz
• Brian Joyce
• Pantel S. Vokonas
• Yinan Zheng
• Wei Zhang
• Lei Liu
• Tao Gao
• Lifang Hou
• Grace Yoon
• Weihau Guan
• Zhou Zhang
• Andrea A. Baccarelli
• Wenxin Jiang
• Haixiang Zhang

DOI

• https://doi.org/10.21985/N2FB5W

Publisher

• BioMed Central

Alternate Identifier

• DOI: 10.1186/s12859-017-1568-1

Keyword

• elastic net
• Metabolic syndrome
• Bootstrap
• ultra-high dimensional variable selection
• methylation
• ISIS

Date created

• 2017-03-07

Related url

•  https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-017-1568-1

Resource type

• Article

Source

• BMC Bioinformatics

License

• Attribution 3.0 United States