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Table 3 Proportion of true positives and power to detect true QTLs in each analysis.

From: Data modeling as a main source of discrepancies in single and multiple marker association methods

    Power2
Data Approach TP1 overall >1% [0.5–1]% <0.5%
Raw Blossoc (15) 3 0.49 0.74 1 1 0.70
  Blossoc (65) 0.68 0.42 0.87 0.71 0.24
  SMA 0.61 0.65 1 0.71 0.55
  SMA Bagging 0.87 0.40 1 0.71 0.18
Corrected Blossoc (15) 1 0.33 0.87 0.57 0.15
  Blossoc (12) 1 0.40 1 0.71 0.18
  SMA 1 0.35 0.87 0.43 0.21
  1. 1 – The proportion of true positives is the proportion of detected QTLs that were true. Positive match between detected and true QTLs was based on a maximum distance of 5 cM.
  2. 2 – Overall power is the proportion of true loci that were detected. This power is further subdivided according to QTL categories based on the true effect size: >1% (8 QTLs), between 0.5 and 1% inclusive (7 QTLs), and <0.5% (33 QTLs) of the total phenotypic variance.
  3. 3 – Numbers between brackets for Blossoc are the threshold used for selecting peaks.