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Table 7 Least-squares means for FEC, PCV and BW of each SNP genotypes in all goats

From: Single nucleotide polymorphisms in candidate genes are significantly associated with resistance to Haemonchus contortus infection in goats

SNPs ID

Genotype

n

All goats

FEC

PCV, %

BW, kg

CIITA_161_C > T

CC

494

2.00 ± 0.08a

26.26 ± 0.21

14.45 ± 0.97

TC

9

3.05 ± 0.09b

25.83 ± 0.34

15.89 ± 6.84

TT

1

3.08 ± 0.23ab

24.00 ± 0.00

27.00 ± 0.00

CIITA_481_A > T

AA

2

3.09 ± 0.14ab

24.00 ± 0.38

27.00 ± 0.77

AT

8

3.06 ± 0.07b

25.83 ± 0.25

15.89 ± 0.84

TT

495

2.00 ± 0.09a

26.27 ± 0.21

14.46 ± 0.96

HSPA8_1024_A > G

AA

20

2.42 ± 0.15b

26.45 ± 0.22

16.87 ± 0.43

AG

138

1.98 ± 0.11a

26.13 ± 0.33

14.13 ± 0.83

GG

348

2.01 ± 0.08a

26.28 ± 0.16

14.50 ± 1.03

HSPA8_1064_A > G

AA

344

2.01 ± 0.04a

26.30 ± 0.18

14.49 ± 0.06

AG

138

2.00 ± 0.07a

26.13 ± 0.33

15.13 ± 0.82

GG

20

2.42 ± 0.15b

26.45 ± 0.32

16.87 ± 0.43

ESYT1_559_G > C

GG

381

1.97 ± 0.09a

25.32 ± 0.17

14.41 ± 0.94

GC

107

2.18 ± 0.12b

26.23 ± 0.37

15.40 ± 1.02

CC

17

2.15 ± 0.15b

25.32 ± 0.17

16.41 ± 0.75

STAT5B_197_A > G

AA

144

2.00 ± 0.06b

26.39 ± 0.15

14.96 ± 0.25

AG

224

1.92 ± 0.07a

26.30 ± 0.17

14.36 ± 0.59

GG

127

2.24 ± 0.08c

26.09 ± 0.28

14.53 ± 0.22

SERPING1_312_C > T

CC

292

2.01 ± 0.04a

26.37 ± 0.26

14.38 ± 0.14

TC

189

2.00 ± 0.06a

26.15 ± 0.16

14.72 ± 0.70

TT

25

2.31 ± 0.14b

25.66 ± 0.43

14.69 ± 0.96

SERPING1_615_G > T

GG

291

2.01 ± 0.04a

26.37 ± 0.26

14.36 ± 0.12

GT

189

2.00 ± 0.06a

26.15 ± 0.16

14.72 ± 0.70

TT

25

2.30 ± 0.14b

25.66 ± 0.43

14.70 ± 0.96

ATP2A3_150_A > G

AA

59

2.20 ± 0.08c

25.47 ± 0.19

16.20 ± 0.03b

AG

155

2.14 ± 0.11b

26.52 ± 0.25

15.06 ± 0.94b

GG

290

1.92 ± 0.10a

26.30 ± 0.15

13.88 ± 0.91a

ATP2A3_680_A > C

AA

289

1.93 ± 0.04a

26.27 ± 0.16

13.90 ± 0.93a

AC

167

2.12 ± 0.06b

26.44 ± 0.14

14.75 ± 0.99a

CC

45

2.25 ± 0.11c

25.61 ± 0.54

17.32 ± 0.65b

  1. FEC fecal egg count, PCV packed cell volume, BW body weight. FEC were transformed as LFEC = log10(FEC + 25) before analysis
  2. a, b, cMeans within a column and SNP with different superscripts differ (P < 0.05)