Efficient Estimation and Applications of Cross-Validated Genetic Predictions to Polygenic Risk Scores and Linear Mixed Models-Reference-Cited by-同舟云学术

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

Author:

Mefford Joel¹,Park Danny²,Zheng Zhili³,Ko Arthur⁴,Ala-Korpela Mika⁵⁶⁷⁸,Laakso Markku⁹,Pajukanta Päivi⁴,Yang Jian³,Witte John¹⁰,Zaitlen Noah¹

Affiliation:

1. Neurology, UCLA, Los Angeles, California.

2. School of Medicine, UCSF, San Francisco, California.

3. Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia.

4. Human Genetics, UCLA, Los Angeles, California.

5. Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia.

6. University of Oulu Biocenter, Oulu, Finland.

7. NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland.

8. University of Bristol School of Medical Sciences, Population Health Science, Bristol, Bristol, United Kingdom.

9. Department of Medicine, University of Eastern Finland School of Medicine, Kuopio, Finland.

10. Departments of Epidemiology and Biostatistics, and Urology, UCSF, San Francisco, California.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

Reference40 articles.

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