State-of-the-art methods for developing polygenic risk scores
State-of-the-art methods for developing polygenic risk scores
This workshop will cover:
- Background and challenges in polygenic risk prediction
- Several state-of-the-art methods
* Pruning and thresholding / Conditional and joint multiple-SNP analysis (summary statistics-based)
* LDPred (summary statistics-based)
* Regularized regression (individual-level data-based)
* PolyPred (with functional annotation)
***Hands-on tutorials will cover implementation of all four methods***
- Discussion of other existing methods and choice of approach in practice
- Discussion of metrics of predictive performance
***All data and computation scripts will be made available. Experience with bash scripting will be helpful but NOT required***
Instructor: Tianyuan Lu
April 9, 2021
1PM- 5PM
By registering to this event, you agree with the following code of conduct
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Code of Conduct
Our event is dedicated to providing a harassment-free conference experience for everyone, regardless of gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity, religion (or lack thereof), or technology choices. We do not tolerate harassment of conference participants in any form. Event participants violating these rules may be sanctioned or expelled from the event without a refund at the discretion of the conference organizers.
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