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Table 4 List of blood genes identified as very important in FCR predictiona

From: Analysis of merged whole blood transcriptomic datasets to identify circulating molecular biomarkers of feed efficiency in growing pigs

Probe name

Gene symbol

Full name

Score

A_72_P004376

SLC36A4

solute carrier family 36 (proton/amino acid symporter), member 4

100.00

A_72_P052096

SEPTIN6

septin 6

88.24

A_72_P035551

PSMB9

proteasome (prosome, macropain) subunit beta type, 9

77.53

A_72_P006596

GNG12

guanine nucleotide binding protein (G protein), gamma 12

75.40

A_72_P441179

KLF1

Kruppel-like factor 1 (erythroid)

74.39

A_72_P027206

CCDC70

coiled-coil domain containing 70

73.21

A_72_P000681

IRF2BP2

IRF2 binding protein 2

70.00

A_72_P155326

IGF2

insulin growth factor 2

69.17

A_72_P000006

ZNF644

zinc finger protein 644

68.67

A_72_P001306

AAGAB

alpha- and gamma-adaptin binding protein

68.31

A_72_P008086

SLC39A9

solute carrier family 39 (zinc transporter), member 9

67.00

A_72_P000171

SHPRH

SNF2 histone linker PHD RING helicase, E3 ubiquitin protein ligase

65.24

A_72_P005536

DIAPH3

diaphanous homolog 3 (Drosophila)

64.94

A_72_P001051

FCRLA

Fc receptor-like A

63.55

A_72_P000371

SDR39U1

short chain dehydrogenase/reductase family 39 U member 1

63.36

A_72_P001061

CD84

CD84 molecule

61.94

A_72_P001366

MORC2

MORC family CW-type zinc finger 2

61.81

A_72_P010816

MMAA

methylmalonic aciduria (cobalamin deficiency) cblA type

61.38

A_72_P000376

TRIM38

tripartite motif containing 38

61.12

A_72_P001201

FEM1C

fem-1 homolog c (C. elegans)

59.74

A_72_P023626

NUAK1

NUAK family, SNF1-like kinase, 1

56.91

A_72_P000856

TRIM46

tripartite motif containing 46

53.82

A_72_P002226

GEMIN5

gem (nuclear organelle) associated protein 5

51.67

A_72_P043191

PIKFYVE

phosphoinositide kinase, FYVE finger containing

51.53

A_72_P000356

MACF1

microtubule-actin crosslinking factor 1

51.07

A_72_P614951

SEPP1

selenoprotein P, plasma, 1

47.05

A_72_P021346

RBM25

RNA binding motif protein 25

43.75

  1. aA gradient treenet boosting (GTB) algorithm was applied on transcriptomic dataset (26,687 molecular probes) from the whole blood of 148 growing pigs. Data were split into training (n = 74) and validation test (n = 74) subsets to evaluate model performance in classifying pigs into low or high residual feed intake (RFI) groups. The unique genes corresponding to the most relevant annotated probes able to predict feed conversion ratio (FCR) for each pig were listed. The score attributed to each probe gave hierarchy of importance in the predictive model
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BMC Genomics

ISSN: 1471-2164

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