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- Title
Ultra-high dimensional variable selection with application to normative aging study: DNA methylation and metabolic syndrome.
- Authors
Grace Yoon; Yinan Zheng; Zhou Zhang; Haixiang Zhang; Tao Gao; Brian Joyce; Wei Zhang; Weihua Guan; Baccarelli, Andrea A.; Wenxin Jiang; Joel Schwartz; Vokonas, Pantel S.; Lifang Hou; Lei Liu
- Abstract
Background: Metabolic syndrome has become a major public health challenge worldwide. The association between metabolic syndrome and DNA methylation is of great research interest. Results: 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. Conclusion: 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.
- Subjects
METABOLIC syndrome; DNA methylation; STATISTICAL bootstrapping; CELL division; CYTOSINE
- Publication
BMC Bioinformatics, 2017, Vol 18, p1
- ISSN
1471-2105
- Publication type
Article
- DOI
10.1186/s12859-017-1568-1