Genetically predicted RNA phenotypes

cis-genetic associations can be used to predict quantitative RNA phenotypes such as gene expression levels and isoform ratios. These values estimate z-scores of the phenotypes, rather than absolute levels, but can be used to:

• Stratify individuals by a gene's genetically predicted expression or other RNA phenotype to test hypotheses about the gene's role in observed traits. See Campo et al. 2026
• Test whether observed gene expression differences in groups with divergent traits are only a downstream effect of exposures or whether they have a more direct genetic component. See Zhou et al. 2023

We provide predictions for 107,824 unique RNA phenotypes for 19,796 genes for all rats genotyped by our NIDA center (Round 11.2, N=24,722). These include only phenotypes that are heritable (P<0.01) in the indicated tissue.

Download predictions for selected rats

Choose genes and paste the RFIDs of rats in Round 11.2. The TSV has one row per tissue, modality, and phenotype, and one column per requested RFID.

Download bulk predictions

Each file includes predictions for all heritable RNA phenotypes of the indicated modality, in the indicated tissue, for all rats.

Prediction stats

The table below shows per-phenotype heritability estimates (h²) and cross-validated model accuracy for heritable RNA phenotypes in each tissue.

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