Nature Communications (Jul 2021)

A machine learning approach to brain epigenetic analysis reveals kinases associated with Alzheimer’s disease

  • Yanting Huang,
  • Xiaobo Sun,
  • Huige Jiang,
  • Shaojun Yu,
  • Chloe Robins,
  • Matthew J. Armstrong,
  • Ronghua Li,
  • Zhen Mei,
  • Xiaochuan Shi,
  • Ekaterina Sergeevna Gerasimov,
  • Philip L. De Jager,
  • David A. Bennett,
  • Aliza P. Wingo,
  • Peng Jin,
  • Thomas S. Wingo,
  • Zhaohui S. Qin

DOI
https://doi.org/10.1038/s41467-021-24710-8
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 12

Abstract

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Array-based epigenome-wide association studies only test about 2% of the CpG sites in the genome. Here, the authors describe EWASplus, a supervised machine learning strategy that extends EWAS coverage to the entire genome, and use it to identify novel brain CpGs associated with Alzheimer’s disease.