There is an awful lot of models! Which ones should I use?

PredictDB Team

2021-07-21

Categories: FAQ

A1: GTEx v8 MASHR-based models are parsimonious and have been shown to yield more reliable set of putative causal variants. These are the best option. However, they require GWAS preprocessing on older GWAS as detailed here.

A2: GTEx v8 UTMOST models are a robust but with lower performance. These are based on HapMap snps and as such have a good overlap with most GWAS' snp sets.

A3: If your GWAS population is non-European, you might be interested in population-specific models.

Reuse

Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The source code is licensed under MIT.

Suggest changes

If you find any mistakes (including typos) or want to suggest changes, please feel free to edit the source file of this page on Github and create a pull request.

Citation

For attribution, please cite this work as

PredictDB Team (2021). There is an awful lot of models! Which ones should I use?. PredictDB. /post/2021/07/21/there-is-an-awful-lot-of-models-which-ones-should-i-use/

BibTeX citation

@misc{
  title = "There is an awful lot of models! Which ones should I use?",
  author = "PredictDB Team",
  year = "2021",
  journal = "PredictDB",
  note = "/post/2021/07/21/there-is-an-awful-lot-of-models-which-ones-should-i-use/"
}