Influence of polymorphisms in the vascular endothelial growth factor gene on allograft rejection after kidney transplantation: a meta-analysis
Cite this dataset
Pabalan, Noel (2021). Influence of polymorphisms in the vascular endothelial growth factor gene on allograft rejection after kidney transplantation: a meta-analysis [Dataset]. Dryad. 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