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. Author manuscript; available in PMC: 2020 Nov 6.
Published in final edited form as: Science. 2020 Sep 10;369(6509):eaaz5900. doi: 10.1126/science.aaz5900

Table 1. Watershed and CADD as predictors of variant effect size percentile.

Shown are the coefficient estimates and 95% confidence intervals from separate linear models with variant effect size percentile as the response and CADD score or Watershed posterior (scaled to have a mean of 0 and an SD of 1 so that values are of comparable range) as the predictor for all tested variants in colocalized regions (n = 5277).

Predictor Beta P value 95% confidence interval
Watershed posterior 1.61 2.12 × 10−6 0.95–2.27
CADD score 0.77 2.41 × 10−2 0.10–1.43