Skip to main content

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.