Presenting Author:
Principal Investigator:
Lei Liu, Ph.D.
Department:
Preventive Medicine
Keywords:
Ultra-high dimensional variable selection, ISIS, elastic net, Bootstrap, Metabolic syndrome, methylation
Location:
Third Floor, Feinberg Pavilion, Northwestern Memorial Hospital
PH47 - Public Health & Social Sciences
Ultra-high dimensional variable selection: DNA methylation and metabolic syndrome
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.
