Given the pervasive polygenicity of most complex traits, we found that TWAS results can be substantially inflated, yielding many more false positives than expected. We describe the problem and solution in this preprint. We updated the MetaXcan software and prediction models to correct for this inflation.

Find the new models here and a tutorial on how to use the updated method here.

The correction works with the latest MetaXcan Software v0.8.0 or later which can be downloaded from GitHub or Zenodo

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

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Citation

For attribution, please cite this work as

Festus Nyasimi (2024). TWAS inflation corrected models. PredictDB. /post/2024/11/11/twas-inflation-corrected-models/

BibTeX citation

@misc{
  title = "TWAS inflation corrected models",
  author = "Festus Nyasimi",
  year = "2024",
  journal = "PredictDB",
  note = "/post/2024/11/11/twas-inflation-corrected-models/"
}