Skip to main content

Table 4 Correctly identified QTL and false positives using Bayes C over 10 replicates

From: QTL fine mapping with Bayes C(π): a simulation study

  Heritability = 0.4 Heritability = 0.7
Large Medium Small False Large Medium Small False
Mean 3.70 4.5 3.60 0.40 2 5.4 8.5 0.1
Min 3 3 2 0 0 3 6 0
Max 4 8 6 2 3 8 12 1
SD 0.48 1.78 1.51 0.70 0.94 1.90 2.55 0.32
  1. Mean, minimum, maximum and standard deviation of the number of correctly identified QTL categorised by effect size (large, medium or small), and number of false positives, based on 10 replicates; QTL detection was based on the posterior inclusion probability summed up over intervals of 60 adjacent markers; the best 10 intervals were denoted as QTL; 100 QTL were simulated, of which 5 were large, 20 medium and 75 small.