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Genetic feature engineering enables characterisation of shared risk factors in immune-mediated diseases.

Oliver S BurrenGuillermo RealesLimy WongJohn BowesJames C LeeAnne BartonPaul A LyonsKenneth G C SmithWendy ThomsonPaul D W KirkChris Wallace
Published in: Genome medicine (2020)
Requiring only summary-level data, our unsupervised approach allows the genetic architectures across any range of clinically related traits to be characterised in fewer dimensions. This facilitates the analysis of studies with modest sample size by matching shared axes of both genetic and biological risk across a wider disease domain, and provides an evidence base for possible therapeutic repurposing opportunities.
Keyphrases
  • genome wide
  • risk factors
  • machine learning
  • copy number
  • dna methylation
  • big data
  • gene expression
  • deep learning
  • artificial intelligence