Lecture 10 - PRS - Large scale mixed effects modelign

Haky Im

2022-02-13

Learning Objectives

  • Revisit mixed effects modeling using random SNP effects
  • Describe prediction methods
    • PRS
    • elastic net
    • ridge regression
    • lasso
  • Discuss the clinical utility and challenges of PRS
  • Survey mixed effects models for large scale data

Material for the lecture

Find slides here

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Citation

For attribution, please cite this work as

Haky Im (2022). Lecture 10 - PRS - Large scale mixed effects modelign. HGEN 471 Class Notes. /post/2022/02/13/lecture-10-prs-large-scale-mixed-effects-modelign/

BibTeX citation

@misc{
  title = "Lecture 10 - PRS - Large scale mixed effects modelign",
  author = "Haky Im",
  year = "2022",
  journal = "HGEN 471 Class Notes",
  note = "/post/2022/02/13/lecture-10-prs-large-scale-mixed-effects-modelign/"
}