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Ultra-high dimensional variable selection with application to normative aging study: DNA methylation and metabolic syndrome.

Grace YoonYinan ZhengZhou ZhangHaixiang ZhangTao GaoBrian JoyceWei ZhangWeihua GuanAndrea A BaccarelliWenxin JiangJoel SchwartzPantel S VokonasLifang HouLei Liu
Published in: BMC bioinformatics (2017)
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.
Keyphrases
  • dna methylation
  • genome wide
  • metabolic syndrome
  • bioinformatics analysis
  • gene expression
  • high resolution
  • uric acid
  • type diabetes
  • skeletal muscle
  • adipose tissue
  • mass spectrometry