Efficient Estimation and Applications of Cross-Validated Genetic Predictions to Polygenic Risk Scores and Linear Mixed Models

Joel Mefford, Danny S. Park, Zhili Zheng, Arthur Ko, Mika Ala-Korpela, Markku Laakso, Päivi Pajukanta, Jian Yang, John Witte, Noah Zaitlen. Efficient Estimation and Applications of Cross-Validated Genetic Predictions to Polygenic Risk Scores and Linear Mixed Models. Journal of Computational Biology, 27(4):599-612, 2020. [doi]

@article{MeffordPZKALPYW20,
  title = {Efficient Estimation and Applications of Cross-Validated Genetic Predictions to Polygenic Risk Scores and Linear Mixed Models},
  author = {Joel Mefford and Danny S. Park and Zhili Zheng and Arthur Ko and Mika Ala-Korpela and Markku Laakso and Päivi Pajukanta and Jian Yang and John Witte and Noah Zaitlen},
  year = {2020},
  doi = {10.1089/cmb.2019.0325},
  url = {https://doi.org/10.1089/cmb.2019.0325},
  researchr = {https://researchr.org/publication/MeffordPZKALPYW20},
  cites = {0},
  citedby = {0},
  journal = {Journal of Computational Biology},
  volume = {27},
  number = {4},
  pages = {599-612},
}