GTEx v7 Expression models

PredictDB Team

2017-11-29

Categories: Downloads Models

Expression prediction models with LD reference data ar available in this Zenodo repository. The underlying algorithm is Elastic Net.

GTEx-V7_HapMap-2017-11-29.tar.gz: Expression prediction models and LD reference on single tissues.
snp_covariance_v7.txt.gz: S-MultiXcan’s LD compilation

Additional support information and details are available in the Zenodo repository. You can find release notes in this link.

Acknowledging these models: If you use these models in your research, we ask you to cite:

“A gene-based association method for mapping traits using reference transcriptome data”, Gamazon et al, 2015, Nature Genetics
“Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics”, Barbeira et al, 2018, Nature Communications

If you use S-MultiXcan, we ask you to cite:

“Integrating predicted transcriptome from multiple tissues improves association detection”, Barbeira et al, 2019, PLOS Genetics

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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

PredictDB Team (2017). GTEx v7 Expression models. PredictDB. /post/2017/11/29/gtex-v7-expression-models/

BibTeX citation

@misc{
  title = "GTEx v7 Expression models",
  author = "PredictDB Team",
  year = "2017",
  journal = "PredictDB",
  note = "/post/2017/11/29/gtex-v7-expression-models/"
}