Variance component model to account for sample structure in genome-wide association studies

@article{Kang2010VarianceCM,
  title={Variance component model to account for sample structure in genome-wide association studies},
  author={Hyun Min Kang and Jae Hoon Sul and Susan K. Service and Noah A. Zaitlen and Sit-yee Kong and Nelson B. Freimer and Chiara Sabatti and Eleazar Eskin},
  journal={Nature Genetics},
  year={2010},
  volume={42},
  pages={348-354}
}
Although genome-wide association studies (GWASs) have identified numerous loci associated with complex traits, imprecise modeling of the genetic relatedness within study samples may cause substantial inflation of test statistics and possibly spurious associations. Variance component approaches, such as efficient mixed-model association (EMMA), can correct for a wide range of sample structures by explicitly accounting for pairwise relatedness between individuals, using high-density markers to… 
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