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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.
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BMC Proceedings

ISSN: 1753-6561

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