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Table 1 Overview of phenotypic and genetic data

From: A systems biology approach using metabolomic data reveals genes and pathways interacting to modulate divergent growth in cattle

Category

Trait

Acronym

N

Mean*

Std. Dev.*

p < 0.05§

p < 0.01§

p < 0.001§

Weight

Total weight day 273

tw273

144

358.7

30.7

2744

697

90

Weight

Average daily gain day 183 - 273

dwg273

144

1.48

0.19

2504

674

98

Amino acid

Arginine

arg

146

93.0

23.0

2392

539

64

Amino acid

Lysine

lys

147

175.1

31.8

1935

400

48

Carnitine & Acylcarnitines

Free Carnitine

C0

147

6.1

0.84

1869

375

30

Carnitine & Acylcarnitines

Acetylcarnitine

C2

147

0.965

0.362

2049

393

38

Carnitine & Acylcarnitines

Valerylcarnitine

C5

147

0.064

0.018

2120

404

40

Carnitine & Acylcarnitines

Suberylcarnitine

C81

146

0.006

0.011

2360

514

74

Carnitine & Acylcarnitines

Myristylcarnitine

C14

147

0.011

0.004

2424

499

50

Carnitine & Acylcarnitines

Stearoylcarnitine

C18

147

0.021

0.011

2610

675

103

Glycerophosphatidylcholine

Diacylphosphatidylcholine C32:0

PC_aa_C32:0

146

4.72

1.65

5127

1221

79

Glycerophosphatidylcholine

Acylethylphoshatidylcholine C36:1

PC_ae_C36:1

146

13.4

5.07

2043

416

27

Sphingomyelin

Sphingomyelin C20:2

SM_C20:2

146

3.44

1.52

5487

1389

89

  1. *Means and standard deviations for weight traits are given in [kg] and for metabolic traits in [μM].
  2. §Number of SNPs in the GWAS with nominal p-values for association smaller than the indicated threshold as used for assembling the association weight matrix (AWM), total number of SNPs = 44505.