Prediction R2 between populations in GEUVADIS for genes with positive correlation between predictions and measurements.

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healthcare

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paper

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KevAngMarWal

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The number of genes analyzed in each scenario varied in each case; see S5 Table. Scenarios where the training sample is contained in the testing sample cannot be accurately tested and are marked with “n/a”. EUR373 includes all 373 Europeans, EUR278 includes only the 278 non-Finnish Europeans, FIN includes only the 95 Finnish individuals, and AFR includes only the 89 Yoruba.

Cross-population prediction performance across all five constituent GEUVADIS populations over genes with positive correlation between predictions and measurements.

All populations were subsampled to N = 89 individuals. The number of genes represented varies by

Violin plots of R2 between predictions and measurements in SAGE, with testing R2 from each PrediXcan repository included for benchmarking.

The prediction weights used here are, from left to right: GTEx v6p, GTEx v7, DGN, MESA African Am

Prediction R<sup>2</sup> between populations in GEUVADIS for genes with positive correlation between predictions and measurements.

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Cross-population prediction performance across all five constituent GEUVADIS populations over genes with positive correlation between predictions and measurements.

Violin plots of R<sup>2</sup> between predictions and measurements in SAGE, with testing R<sup>2</sup> from each PrediXcan repository included for benchmarking.