Novel probabilistic models of spatial genetic ancestry with applications to stratification correction in genome‐wide association studies

@article{Bhaskar2017NovelPM,
  title={Novel probabilistic models of spatial genetic ancestry with applications to stratification correction in genome‐wide association studies},
  author={Anand Bhaskar and Adel Javanmard and Thomas A. Courtade and David Tse},
  journal={Bioinformatics},
  year={2017},
  volume={33},
  pages={879–885}
}
Motivation: Genetic variation in human populations is influenced by geographic ancestry due to spatial locality in historical mating and migration patterns. Spatial population structure in genetic datasets has been traditionally analyzed using either model‐free algorithms, such as principal components analysis (PCA) and multidimensional scaling, or using explicit spatial probabilistic models of allele frequency evolution. We develop a general probabilistic model and an associated inference… 

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