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Table 3 Top SNPs identified by the Random Forest and GRAMMAR-CG Approach for trait 2

From: Genome wide association analysis of the 16th QTL- MAS Workshop dataset using the Random Forest machine learning approach

   

Trait 2

    

Random Forest method

  

Grammar_CG

  

Multiple Trait EBV

 

Multiple Trait EBV

 

SNP name

CHR

pos Kb

 

SNP name

CHR

Pos Kb

p-value

SNP6499

4

24.900

 

SNP6499

4

24.900

1,93E-18

SNP7151

4

57.500

 

SNP293

1

14.600

3,51E-10

SNP298

1

14.850

 

SNP4044

3

2.150

6,38E-10

SNP2171

2

8.500

 

SNP298

1

14.850

4,07E-07

SNP293

1

14.600

 

SNP6501

4

25.000

1,79E-06

SNP9528

5

76.350

 

SNP6498

4

24.850

1,74E-05

SNP296

1

14.750

 

SNP296

1

14.750

8,60E-05

Single Trait EBV

 

Single Trait EBV

 

SNP6499

4

24.900

 

SNP6499

4

24.900

1,93E-19

SNP7151

4

57.500

 

SNP293

1

14.600

1,74E-09

SNP2171

2

8.500

 

SNP4044

3

2.150

1,24E-08

SNP298

1

14.850

 

SNP298

1

14.850

1,12E-06

SNP293

1

14.600

 

SNP6501

4

25.000

1,17E-06

SNP9528

5

76.350

 

SNP6498

4

24.850

8,61E-06

Yield Deviation

 

Yield Deviation

 

SNP6499

4

24.900

 

SNP6499

4

24.900

2,90E-24

SNP293

1

14.600

 

SNP293

1

14.600

1,21E-11

SNP298

1

14.850

 

SNP6501

4

25.000

2,34E-08

SNP296

1

14.750

 

SNP298

1

14.850

4,93E-08

SNP6507

4

25.300

 

SNP6498

4

24.850

7,76E-08

SNP6506

4

25.250

 

SNP4044

3

2.150

3,19E-07

SNP6425

4

21.200

 

SNP296

1

14.750

1,58E-06

SNP9374

5

68.650

 

SNP6506

4

25.250

2,80E-06

SNP295

1

14.700

 

SNP295

1

14.700

3,81E-06

SNP7151

4

57.500

 

SNP6503

4

25.100

1,66E-05

    

SNP6507

4

25.300

2,37E-05

    

SNP6504

4

25.150

5,45E-05

    

SNP6502

4

25.050

8,14E-05

    

SNP9362

5

68.050

8,14E-05