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Blood Res 2021; 56(1):

Published online March 31, 2021

https://doi.org/10.5045/br.2021.2020201

© The Korean Society of Hematology

FAS-670A>G gene polymorphism and the risk of allograft rejection after organ transplantation: a systematic review and meta-analysis

Mohammad Masoud Eslami1, Ramazan Rezaei2, Sara Abdollahi3, Afshin Davari4, Mohammad Ahmadvand5

1Department of Hematology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, 2Department of Immunology, School of Medicine, Shahid Beheshti University of Medical Sciences, 3Mazandaran Faculty of Paramedical Sciences, Mazandaran University of Medical Sciences, Sari, 4Department of Medical Parasitology and Mycology, School of Public Health, 5Hematology-Oncology and Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran

Correspondence to : Mohammad Ahmadvand, Ph.D.
Hematology-Oncology and Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Dameshq St, Tehran P.O. Box: 1411713135 (M.A.), Tehran, Iran
E-mail: Mahmadvand@sina.tums.ac.ir

Received: August 14, 2020; Revised: December 12, 2020; Accepted: February 23, 2021

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The association between the risk of allograft rejection after organ transplantation and FAS gene polymorphism has been evaluated previously. However, inconsistent results have been reported. Hence, we conducted the most up-to-date meta-analysis to evaluate this association. All eligible studies reporting the association between FAS-670A>G polymorphism and the risk of allograft rejection published up to December 2019 were extracted using a comprehensive systematic database search in the Web of Science, Scopus, and PubMed. The pooled odds ratios (OR) and corresponding 95% confidence intervals (CI) were calculated to determine the association strength. This meta-analysis included six case-control studies with 277 patients who experienced allograft rejection and 1,001 patients who did not experience allograft rejection (controls) after organ transplantation. The overall results showed no significant association between FAS-670A>G polymorphism and the risk of allograft rejection in five genetic models (dominant model: OR=0.81, 95% CI=0.58‒1.12; recessive model: OR=0.10, 95% CI=0.80‒1.53; allelic model: OR=0.96, 95% CI=0.79‒1.18; GG vs. AA: OR=0.92, 95% CI=0.62‒1.36; and AG vs. AA: OR=0.75, 95% CI=0.52‒1.08). Moreover, subgroup analysis according to ethnicity and age did not reveal statistically significant results. Our findings suggest that FAS-670A>G polymorphism is not associated with the risk of allograft rejection after organ transplantation.

Keywords FAS, Allograft rejection, Polymorphism, Meta-analysis

Article

Review Article

Blood Res 2021; 56(1): 17-25

Published online March 31, 2021 https://doi.org/10.5045/br.2021.2020201

Copyright © The Korean Society of Hematology.

FAS-670A>G gene polymorphism and the risk of allograft rejection after organ transplantation: a systematic review and meta-analysis

Mohammad Masoud Eslami1, Ramazan Rezaei2, Sara Abdollahi3, Afshin Davari4, Mohammad Ahmadvand5

1Department of Hematology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, 2Department of Immunology, School of Medicine, Shahid Beheshti University of Medical Sciences, 3Mazandaran Faculty of Paramedical Sciences, Mazandaran University of Medical Sciences, Sari, 4Department of Medical Parasitology and Mycology, School of Public Health, 5Hematology-Oncology and Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran

Correspondence to:Mohammad Ahmadvand, Ph.D.
Hematology-Oncology and Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Dameshq St, Tehran P.O. Box: 1411713135 (M.A.), Tehran, Iran
E-mail: Mahmadvand@sina.tums.ac.ir

Received: August 14, 2020; Revised: December 12, 2020; Accepted: February 23, 2021

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The association between the risk of allograft rejection after organ transplantation and FAS gene polymorphism has been evaluated previously. However, inconsistent results have been reported. Hence, we conducted the most up-to-date meta-analysis to evaluate this association. All eligible studies reporting the association between FAS-670A>G polymorphism and the risk of allograft rejection published up to December 2019 were extracted using a comprehensive systematic database search in the Web of Science, Scopus, and PubMed. The pooled odds ratios (OR) and corresponding 95% confidence intervals (CI) were calculated to determine the association strength. This meta-analysis included six case-control studies with 277 patients who experienced allograft rejection and 1,001 patients who did not experience allograft rejection (controls) after organ transplantation. The overall results showed no significant association between FAS-670A>G polymorphism and the risk of allograft rejection in five genetic models (dominant model: OR=0.81, 95% CI=0.58‒1.12; recessive model: OR=0.10, 95% CI=0.80‒1.53; allelic model: OR=0.96, 95% CI=0.79‒1.18; GG vs. AA: OR=0.92, 95% CI=0.62‒1.36; and AG vs. AA: OR=0.75, 95% CI=0.52‒1.08). Moreover, subgroup analysis according to ethnicity and age did not reveal statistically significant results. Our findings suggest that FAS-670A>G polymorphism is not associated with the risk of allograft rejection after organ transplantation.

Keywords: FAS, Allograft rejection, Polymorphism, Meta-analysis

Fig 1.

Figure 1.Flow diagram of the study selection process.
Blood Research 2021; 56: 17-25https://doi.org/10.5045/br.2021.2020201

Fig 2.

Figure 2.Forest plot of the association between FAS-670A>G gene single-nucleotide polymorphism and the risk of allograft rejection in the dominant model.
Blood Research 2021; 56: 17-25https://doi.org/10.5045/br.2021.2020201

Fig 3.

Figure 3.Forest plot of the association between FAS-670A>G gene single-nucleotide polymorphism and the risk of allograft rejection in the recessive model.
Blood Research 2021; 56: 17-25https://doi.org/10.5045/br.2021.2020201

Fig 4.

Figure 4.Forest plot of the association between FAS-670A>G gene single-nucleotide polymorphism and the risk of allograft rejection in the allelic model.
Blood Research 2021; 56: 17-25https://doi.org/10.5045/br.2021.2020201

Fig 5.

Figure 5.Forest plot of the association between FAS-670A>G gene single-nucleotide polymorphism and the risk of allograft rejection in the AG vs. AA model.
Blood Research 2021; 56: 17-25https://doi.org/10.5045/br.2021.2020201

Fig 6.

Figure 6.Forest plot of the association between FAS-670A>G gene single-nucleotide polymorphism and the risk of allograft rejection in the GG vs. AA model.
Blood Research 2021; 56: 17-25https://doi.org/10.5045/br.2021.2020201

Fig 7.

Figure 7.Sensitivity analysis to investigate whether FAS-670A/G gene single nucleotide polymorphism contributes to risk for allograft rejection (Recessive model).
Blood Research 2021; 56: 17-25https://doi.org/10.5045/br.2021.2020201

Table 1 . Characteristics of studies included in meta-analysis of overall FAS-670A>G..

Study authorYearCountryEthnicitySex cases/controlsTotal cases/controlAge case/control (mean)Genotyping methodQuality score
Cappellesso et al. [24]2002FranceCaucasianM=NR20/77NR/NRRFLP-PCR6
F=NR
Marín et al. [25]2006SpainCaucasianM=NR53/22749±12/NRRFLP-PCR7
F=NR
Jahadi Hosseini et al. [26]2009IranCaucasianM=NR47/22543.67±22.18/40.08±22.18ASO-PCR7
F=NR
Ertan et al. [16]2010TurkeyCaucasianM=NR16/3712.3±0.6/12.3±0.6RFLP-PCR7
F=NR
Girnita et al. [27]2011MulticenterMixedM=NR124/405NR/NRPCR6
F=NR
Fadel et al. [28]2016EgyptArabM=10/1917/309.37±3.56/10.09±2.95RFLP-PCR8
F=7/11

Abbreviations: F, female; M, male; NR, not reported..


Table 2 . Distribution of genotype and allele among FAS 670A/G patients and controls..

Study authorRejection casesNon-rejection controlP-HWEMAF


AAAGGGAGAAAGGGAG
Cappellesso et al. [24]893251525401290640/540/415
Marín et al. [25]152414545265106562362180/330/48
Jahadi Hosseini et al. [26]1220154450777375227223≤0.0010/495
Ertan et al. [16]410218141123345290/060/391
Girnita et al. [27]404638126122812131113754350/240/537
Fadel et al. [28]43101123113162535≤0.0010/583

Abbreviations: MAF, minor allele frequency of the control group; P-HWE, P-value for Hardy–Weinberg equilibrium..


Table 3 . Main results of pooled OR in meta-analysis of FAS 670A/G gene polymorphisms..

Genetic modelSample sizeTest of associationTest of heterogeneityTest of publication bias (Begg’s test)Test of publication bias (Egger’s test)





Case/controlOR95% CI (P)I2 (%)PZPTP
Overall populationDominant model277/10010.810.58–1.12 (0.19)33.20.180.940.341.80.14
Recessive model277/10011.100.80–1.53 (0.55)00.990.190.850.140.89
Allelic model277/10010.960.79–1.18 (0.7)00.741.690.091.810.14
GG vs. AA277/10010.920.62–1.36 (0.66)00.780.560.571.80.14
AG vs. AA277/10010.750.52–1.08 (0.12)480.080.940.341.661.17
Subgroup analysis
CaucasiansDominant model136/5661.120.71–1.78 (0.62)00.7401-0.350.76
Recessive model136/5661.020.63–1.66 (0.93)00.971.360.170.860.48
Allelic model136/5661.060.80–1.41 (0.67)00.9101-0.360.75
GG vs. AA136/5661.150.64–2.06 (0.64)00.940.680.490.050.96
AG vs. AA136/5661.150.70–1.89 (0.58)00.6401-0.380.74
ChildrenDominant model157/4720.620.40–1.06 (0.07)37.70.201.570.115.150.12
Recessive model157/4721.190.77–1.84 (0.43)00.961.570.112.790.21
Allelic model157/4720.900.68–1.17 (0.42)00.431.570.114.790.13
GG vs. AA157/4720.790.47–1.33 (0.36)00.480.520.602.290.21
AG vs. AA157/4720.720.27–1.95 (0.52)400.181.570.1153.190.01
AdultsDominant model100/4521.220.72–2.07 (0.47)00.451.00.31**
Recessive model100/4521.010.60–1.69 (0.98)00.761.00.31**
Allelic model100/4521.090.79–1.51 (0.60)00.761.00.31**
GG vs. AA100/4521.170.62–2.22 (0.62)00.791.00.31**
AG vs. AA100/4521.270.71–2.28 (0.41)00.331.00.31**

*Was not calculable..


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