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Table 3 Descriptive statistics for the various genetic prediction models from Gagliano et al. (2014) to be used as examples here

From: Assessing models for genetic prediction of complex traits: a comparison of visualization and quantitative methods

Phenotype-specific analyses N Minimum 25 % percentile Median Mean 75 % percentile Maximum Standard deviation N outliers*
Brain-related Hits 144 0.40 0.42 0.51 0.51 0.57 0.77 0.09 3
  Non-hits 32723 0.40 0.40 0.46 0.48 0.53 0.79 0.07 61
Autoimmune Hits 234 0.29 0.45 0.55 0.55 0.66 0.86 0.14 0
  Non-hits 33266 0.29 0.30 0.44 0.45 0.55 0.93 0.13 0
All phenotype analyses           
p < 5E-8 Hits 1292 0.32 0.44 0.54 0.54 0.62 0.92 0.13 4
  Non-hits 30135 0.32 0.35 0.44 0.46 0.55 0.91 0.12 7
all GWAS Catalogue Hits 3405 0.44 0.45 0.50 0.51 0.54 0.81 0.06 144
  Non-hits 30039 0.44 0.44 0.48 0.49 0.52 0.80 0.05 336
  1. *Outliers are defined as data points outside 1.5x interquartile range (interquartile range = 75 % percentile - 25 % percentile)