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Influence of polymorphisms in the vascular endothelial growth factor gene on allograft rejection after kidney transplantation: a meta-analysis

Citation

Pabalan, Noel (2021), Influence of polymorphisms in the vascular endothelial growth factor gene on allograft rejection after kidney transplantation: a meta-analysis, Dryad, Dataset, https://doi.org/10.5061/dryad.gqnk98skz

Abstract

Purpose Reported associations of allograft rejection in kidney transplant patients with VEGF single nucleotide polymorphisms (SNPs) have been inconsistent between studies, which prompted a meta-analysis to obtain more precise estimates.

Methods Using the PICO elements, kidney transplant patients (P) were compared by genotype data between rejectors (I) and non-rejectors (C) in order to determine the risk of allograft rejection (O) attributed to the VEGF SNPs. Literature search of four databases yielded seven articles. To calculate risks for allograft rejection, four SNPs were examined. Meta-analysis treatments included outlier and subgroup analyses, the latter was based on ethnicity (Indians/Caucasians) and rejection type (acute/chronic). Multiple comparisons were corrected with the Bonferroni test.

Results Five highly significant outcomes (Pa < 0.01) survived Bonferroni correction, one of which showed reduced risk for the var allele (OR 0.61, 95% CI 0.45-0.82). The remaining four indicated increased risk for the wt allele where the chronic rejection (OR 2.10, 95% CI 1.36-3.24) and Indian (OR 1.44, 95% CI 1.13-1.84) subgroups were accorded susceptibility status.

Conclusions Risk associations for renal allograft rejection were increased and reduced on account of the wt and var alleles, respectively. These findings could render the VEGF polymorphisms useful in the clinical genetics of kidney transplantation.

Methods

From published articles

Usage Notes

Genetics of renal transplantation.

There are no missing values.

VEGF dataset used to generate summary effects and confidence intervals for the figures and tables of the manuscript

 

First author

Ethnicity

AR/ CR

VEGF SNPs

      Sample sizes

Rejection

Non-rejection

minor allele frequency

         

Rejection

Non-

rejection

Total

wt-wt

wt-var

var-var

wt-wt

wt-var

var-var

 

 

Publication Datasets

           

 

 

 

 

 

 

1

Jimenez-Sousa

Caucasian

CR

rs699947

158

118

276

40

83

35

45

49

24

0.41

2

Lemos

Caucasian

AR

rs699947

93

267

360

21

46

26

60

133

74

0.53

3

Shahbazi

Caucasian

AR

rs699947

64

103

167

24

33

7

24

50

29

0.52

4

Mittal

Indian

AR

rs699947

du

du

----

10

23

11

30

71

55

0.58

5

Prakash 2015

Indian

AR

rs699947

76

196

272

23

31

22

38

119

39

0.50

6

Prakash 2015

Indian

AR

rs144854329

du

du

----

19

34

23

39

101

56

0.59

7

Prakash 2018

Indian

CR

rs699947

98

174

272

13

52

33

48

98

28

0.44

8

Prakash 2018

Indian

CR

rs144854329

du

du

----

15

62

21

43

73

58

0.54

9

Prakash 2018

Indian

AR

rs699947

du

du

----

48

98

28

13

52

33

0.60

10

Prakash 2018

Indian

AR

rs144854329

54

218

272

58

73

43

21

62

15

0.47

1

Lemos

Caucasian

AR

rs1570360

du

du

----

47

38

8

118

119

30

0.34

2

Shahbazi

Caucasian

AR

rs1570360

61

98

159

33

25

3

34

43

21

0.43

3

Mittal

Indian

AR

rs1570360

44

156

200

13

16

15

48

51

57

0.53

4

Prakash 2015

Indian

AR

rs1570360

du

du

----

27

31

18

35

115

46

0.53

5

Prakash 2018

Indian

CR

rs1570360

du

du

----

23

53

22

39

93

42

0.51

1

Gunesacar

Caucasian

AR

rs3025039

265

290

555

231

31

3

230

55

5

0.11

2

Prakash 2015

Indian

AR

rs3025039

du

du

----

20

33

23

79

80

37

0.39

3

Prakash 2018

Indian

CR

rs3025039

du

du

----

39

42

17

60

71

43

0.45

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 VEGF: vascular endothelial growth factor polymorphisms; AR: acute rejection; CR: chronic rejection; SNPs: single nucleotide               

polymorphisms; wt: wild-type; var: variant; du: duplicate

 

Publication references

Jimenez-Sousa MA, Fernandez-Rodriguez A, Heredia M, Tamayo E, Guzman-Fulgencio M, Lajo C, Lopez E, Gomez-Herreras JI, Bustamante J, Bermejo-Martin JF, Resino S (2012) Genetic polymorphisms located in TGFB1, AGTR1, and VEGFA genes are associated to chronic renal allograft dysfunction. Cytokine 58 (3):321-326. doi:10.1016/j.cyto.2012.02.017

Lemos FB, Mol WM, Roodnat JI, Uitterlinden A, Ijzermans JN, Weimar W, Baan CC (2005) The beneficial effects of recipient-derived vascular endothelial growth factor on graft survival after kidney transplantation. Transplantation 79 (9):1221-1225. doi:10.1097/01.tp.0000161219.75906.ec

Shahbazi M, Fryer AA, Pravica V, Brogan IJ, Ramsay HM, Hutchinson IV, Harden PN (2002) Vascular endothelial growth factor gene polymorphisms are associated with acute renal allograft rejection. Journal of the American Society of Nephrology : JASN 13 (1):260-264

Mittal RD, Srivastava P, Singh V, Jaiswal P, Kapoor R (2011) Association of common variants of vascular endothelial growth factor and interleukin-18 genes with allograft survival in renal transplant recipients of North India. DNA and cell biology 30 (5):309-315. doi:10.1089/dna.2010.1138

Prakash S, Agrawal S, Kumar S, Prasad N (2015) Impact of vascular endothelial growth factor single nucleotide polymorphism association on acute renal allograft rejection. Nephron 129 (2):91-96. doi:10.1159/000368700

Prakash S, Patel MR, Agrawal S, Jindal RM, Prasad N (2018) Vascular Endothelial Growth Factor Gene Polymorphism Is Associated With Long-term Kidney Allograft Outcomes. Kidney international reports 3 (2):321-327. doi:10.1016/j.ekir.2017.10.008

Gunesacar R, Opelz G, Erken E, Pelzl S, Dohler B, Ruhenstroth A, Susal C (2007) VEGF 936 C/T gene polymorphism in renal transplant recipients: association of the T allele with good graft outcome. Human immunology 68 (7):599-602. doi:10.1016/j.humimm.2007.03.015