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Using High-Throughput Animal or Cell-Based Models to Functionally Characterize GWAS Signals.

Pierre DourlenJulien ChapuisJean-Charles Lambert
Published in: Current genetic medicine reports (2018)
We describe how these strategies have been successfully used to functionally characterize the genes in GWAS-defined risk loci. In the future, these strategies should help to translate GWAS data into knowledge and treatments.
Keyphrases
  • high throughput
  • genome wide association study
  • single cell
  • genome wide
  • healthcare
  • cell therapy
  • electronic health record
  • current status
  • dna methylation
  • stem cells
  • machine learning