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Table 4 Post-marker analysis of the quantitative (Q) and binary (B) trait

From: A Bayesian approach to detect QTL affecting a simulated binary and quantitative trait

Trait

Region Size a

Pr(≥1) b

Pr(>1)c

Marker start

Marker end

Q

5

1.00

0.25

946

950

 

1

1.00

0.00

5488

5488

 

6

0.96

0.11

4479

4484

 

10

0.78

0.22

951

960

 

10

0.78

0.15

3901

3910

 

5

0.76

0.25

4485

4489

 

9

0.60

0.00

6696

6704

B

1

1.00

0.00

4480

4480

 

3

1.00

0.19

4482

4484

 

9

0.88

0.05

137

145

 

10

0.86

0.08

1207

1216

  1. a different grouping-windows with size of 1 up to and including 11 SNP were analyzed, region size is the number of SNPs in the window
  2. b probability of presence of a QTL in the region
  3. c probability of more than one QTL in case there was a QTL present in the region
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BMC Proceedings

ISSN: 1753-6561

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