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Population stratification correction using Bayesian shrinkage priors for genetic association studies.

Zilu LiuAsuman S TurkmenShili Lin
Published in: Annals of human genetics (2023)
The automatic and self-selection features of Bayestrat make it particularly suited in situations with complex underlying PS scenarios, where it is unknown a priori which PCs are potential confounders, yet the number that needs to be considered could be large in order to fully account for PS.
Keyphrases
  • climate change
  • deep learning
  • genome wide
  • machine learning
  • case control
  • gene expression
  • dna methylation
  • neural network