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Table 4 Comparison of the performance of different measures and estimators of IMF%

From: A gene expression estimator of intramuscular fat percentage for use in both cattle and sheep

Method

Number of animals1

WA control subgroup

WA HGP subgroup

P-value2

Predicted experiment size3

NIRS measured IMF%

141

2.37 ± 1.004

1.90 ± 0.83

0.001

198

Ultrasound estimated IMF%

173

2.66 ± 0.724

2.93 ± 0.54

1.000

N/A5

NIRS measured IMF%

22

2.07 ± 0.774

1.79 ± 0.54

0.340

294

IMF% calculated by CIDEA formula

22

2.30 ± 1.196

1.60 ± 1.14

0.080

148

IMF% calculated by IMF 5 gene set formula

22

2.66 ± 1.046

1.30 ± 0.92

0.003

26

Ranking animals using CIDEA

22

9.50 ± 6.627

13.20 ± 6.16

0.100

156

Ranking animals using IMF 5 gene set

22

7.20 ± 5.478

15.10 ± 4.99

0.0026

22

Ranking animals using TAG gene set

22

7.00 ± 4.528

15.30 ± 5.48

0.0017

20

CIDEA DE

22

13.09 ± 0.447

12.83 ± 0.38

0.080

130

IMF 5 gene set DE

22

0.25 ± 0.389

−0.27 ± 0.31

0.0014

24

TAG gene set DE

22

0.28 ± 0.369

−0.27 ± 0.33

0.00076

20

  1. 1Number of animals used for the analysis.
  2. 2For the test that average measured or estimated IMF%/gene expression/ranking in HGP-treated animals is lower than in control animals.
  3. 3The sample size predicted to be required to observe a significant result (P < 0.05) with 95% confidence intervals.
  4. 4Mean values, standard deviation and P-values are calculated using original record data.
  5. 5Ultrasound estimated IMF% did not detect an effect of the expected direction.
  6. 6Mean values, standard deviation and P-values are calculated using rescaled gene expression values.
  7. 7Mean values, standard deviation and P-values of ranking and DE of CIDEA are calculated using rescaled gene expression values.
  8. 8Mean values, standard deviation and P-values of ranking calculation of IMF 5 gene set and TAG gene set are based on Mann-Witney test.
  9. 9Mean values, standard deviation and P-values of IMF 5 gene set and TAG gene set DE are calculated using rescaled gene expression values.