| Literature DB >> 23761723 |
Chen Huang1, Yongsheng Xu, Xuemin Li, Wei Wang.
Abstract
PURPOSE: In the present work, the aim was to systematically review all studies about the association of vascular endothelial growth factor A (VEGF-A) polymorphisms with age-related macular degeneration (AMD) and to perform a meta-analysis.Entities:
Mesh:
Substances:
Year: 2013 PMID: 23761723 PMCID: PMC3675058
Source DB: PubMed Journal: Mol Vis ISSN: 1090-0535 Impact factor: 2.367
Characteristics of eligible studies included in this study
| [ | China (Asian) | 159/140 | MassArray | Hospital | Age, gender, and ethnicity matched without AMD | Neovascular AMD | |
| [ | Brazil (mixed) | 160/140 | TaqMan | Hospital | Age and gender matched without AMD, | Exudative and nonexudative AMD | |
| [ | Finland (Caucasian) | 162/85 | TaqMan | Hospital | Age matched without AMD | Exudative AMD | |
| [ | Italy (Caucasian) | 226/248 | PCR-SBE | Hospital | Gender and ethnicity matched without detectable drusen | Neovascular and nonneovascular AMD | |
| [ | Poland (Caucasian) | 265/136 | Allele-specific PCR and PCR-RFLP | Hospital | Age and gender matched without AMD | Atrophic and neovascular AMD | |
| [ | USA (Caucasian) | 211/187 | Hospital | Without AMD | Atrophic and neovascular AMD | ||
| [ | China (Asian) | 190/180 | PCR-RFLP | Hospital | Age and gender matched without any type of drusen, geographic atrophy, CNV, or other retinal disorder in either eye | Atrophic and neovascular AMD | |
| [ | Australia (Caucasian) | 577/173 | MassArray | Population | Ethnicity and residence matched without AMD | Early, atrophic, and neovascular AMD | |
| [ | UK (Caucasian) | 45/94 | PCR | Hospital | Age matched healthy | Neovascular AMD |
PCR polymerase chain reaction; SBE single base extension; RFLP restriction fragment length polymorphism.
Figure 1Flow for identifying and selecting studies in this meta-analysis.
Figure 2The VEGF-A polymorphisms used in eligible studies. Ex, exon; IVS, intervening sequence.
The genotype distribution of VEGF-A polymorphisms used in this study
| [ | Asian | wet AMD | 81/58/20 | 81/50/9 | 0.73 | |
| [ | Mixed | total AMD | 65/66/29 | 67/65/8 | 0.12 | |
| dry AMD | 14/14/8 | |||||
| wet AMD | 51/52/21 | |||||
| [ | Asian | total AMD | 57/80/53 | 50/85/42 | 0.61 | |
| dry AMD | 29/46/29 | |||||
| wet AMD | 28/34/24 | |||||
| [ | Caucasian | wet AMD | 17/18/10 | 19/54/21 | 0.14 | |
| [ | Asian | wet AMD | 81/58/20 | 81/50/9 | 0.73 | |
| [ | Caucasian | total AMD | 48/191/26 | 60/63/11 | 0.32 | |
| dry AMD | 13/67/8 | |||||
| wet AMD | 35/124/18 | |||||
| [ | Asian | total AMD | 116/66/8 | 116/60/4 | 0.23 | |
| dry AMD | 60/38/6 | |||||
| wet AMD | 56/28/2 | |||||
| [ | Caucasian | total AMD | 154/259/153 | 40/78/39 | 0.93 | |
| dry AMD | 27/43/30 | |||||
| wet AMD | 92/158/86 | |||||
| [ | Asian | wet AMD | 54/70/35 | 39/74/27 | 0.44 | |
| [ | Caucasian | total AMD | 164/84/17 | 85/44/5 | 0.81 | |
| dry AMD | 47/30/11 | |||||
| wet AMD | 117/54/6 | |||||
| [ | Asian | total AMD | 40/132/18 | 34/116/30 | 0 | |
| dry AMD | 24/70/10 | |||||
| wet AMD | 16/62/8 | |||||
| [ | Asian | wet AMD | 114/33/12 | 92/40/8 | 0.2 | |
| [ | Caucasian | total AMD | 175/48/3 | 190/54/4 | 0.94 | |
| [ | Asian | total AMD | 120/58/12 | 134/42/4 | 0.74 | |
| dry AMD | 75/27/2 | |||||
| wet AMD | 45/31/10 |
Results of meta-analysis of the association between rs1413711 polymorphism of VEGF-A gene and AMD risk
| T versus C | 1.15 (0.86–1.56) | 0.98 | 0.32 | 7.96 | 62.3 | 0.04 | ||
| TT versus CC | 1.50 (0.71–3.16) | 1.07 | 0.28 | 10.51 | 71.5 | 0.01 | ||
| CT versus CC | 0.90 (0.69–1.18) | 0.72 | 0.47 | 5.72 | 47.6 | 0.12 | ||
| TT versus CT | 1.74 (1.22–2.48) | 3.09 | 0 | 3.96 | 24.2 | 0.26 | ||
| (CT+TT) versus CC | 0.98 (0.65–1.49) | 0.05 | 0.95 | 7.72 | 61.1 | 0.05 | ||
| TT versus (CC+CT) | 1.69 (0.98–2.89) | 1.92 | 0.05 | 6.63 | 54.8 | 0.08 | ||
| (CC+TT) versus CT | 1.23 (0.97–1.57) | 1.73 | 0.08 | 2.84 | 0 | 0.41 | ||
| T versus C | 1.13 (0.83–1.54) | 0.8 | 0.42 | 7.32 | 59 | 0.06 | ||
| TT versus CC | 1.44 (0.68–3.05) | 0.95 | 0.34 | 9.5 | 68.4 | 0.02 | ||
| CT versus CC | 0.82 (0.54–1.26) | 0.87 | 0.38 | 6.12 | 51 | 0.1 | ||
| TT versus CT | 1.82 (1.22–2.71) | 2.97 | 0 | 2.51 | 0 | 0.47 | ||
| (CT+TT) versus CC | 0.94 (0.60–1.48) | 0.24 | 0.81 | 7.86 | 61.8 | 0.04 | ||
| TT versus (CC+CT) | 1.63 (1.13–2.35) | 2.66 | 0 | 5.24 | 42.7 | 0.15 | ||
| (CC+TT) versus CT | 1.25 (0.96–1.63) | 1.69 | 0.09 | 3.07 | 2.4 | 0.38 | ||
aNumber of studies. bRandom-effects model was used when p value for heterogeneity test p<0.1 or I2>50%; otherwise, fixed-effects model was used.
Figure 3Forest plots for the association between the VEGF-A rs1413711 allele and AMD risk. A: Results from fixed effects meta-analysis of TT versus CT model in the overall comparison. B: Results from fixed effects meta-analysis of TT versus CT model in the stratified analysis for wet AMD. C: Results from fixed effects meta-analysis of TT versus CC+CT model in the stratified analysis for wet AMD.
Results of meta-analysis of the association between rs833061 polymorphism of VEGF-A gene and AMD risk.
| C versus T | 1.72 (1.00–2.96) | 1.99 | 0.04 | 36.44 | 91.8 | 0 | ||
| CC versus TT | 1.77 (1.00–3.11) | 1.98 | 0.04 | 6.12 | 51 | 0.1 | ||
| TC versus TT | 1.42 (0.75–2.69) | 1.08 | 0.27 | 23.53 | 87.3 | 0 | ||
| CC versus TC | 1.21 (0.87–1.69) | 1.15 | 0.24 | 2.77 | 0 | 0.42 | ||
| (TC+CC) versus TT | 1.49 (0.83–2.68) | 1.35 | 0.17 | 21.72 | 86.2 | 0 | ||
| CC versus (TT+TC) | 1.30 (0.94–1.78) | 1.63 | 0.1 | 2.24 | 0 | 0.52 | ||
| (TT+CC) versus TC | 0.78 (0.45–1.34) | 0.89 | 0.37 | 20.23 | 85.2 | 0 | ||
| C versus T | 1.99 (0.94–4.18) | 1.82 | 0.06 | 24.88 | 92 | 0 | ||
| CC versus TT | 1.68 (0.99–2.84) | 1.93 | 0.05 | 3.47 | 42.3 | 0.17 | ||
| TC versus TT | 1.67 (0.63–4.43) | 1.03 | 0.3 | 15.73 | 87.3 | 0 | ||
| CC versus TC | 1.25 (0.78–2.01) | 0.93 | 0.35 | 2.49 | 19.7 | 0.28 | ||
| (TC+CC) versus TT | 1.75 (0.73–4.19) | 1.26 | 0.2 | 13.73 | 85.4 | 0 | ||
| CC versus (TT+TC) | 1.37 (0.87–2.15) | 1.38 | 0.16 | 1.27 | 0 | 0.53 | ||
| (TT+CC) versus TC | 0.69 (0.29–1.63) | 0.84 | 0.39 | 15.65 | 87.2 | 0 | ||
| C versus T | 1.54 (1.03–2.31) | 2.13 | 0.03 | 15.43 | 80.6 | 0 | ||
| CC versus TT | 1.44 (0.98–2.10) | 1.88 | 0.06 | 5.73 | 47.7 | 0.12 | ||
| TC versus TT | 1.34 (0.73–2.45) | 0.97 | 0.33 | 17.21 | 82.6 | 0 | ||
| CC versus TC | 1.14 (0.79–1.63) | 0.73 | 0.46 | 1.99 | 0 | 0.57 | ||
| (TC+CC) versus TT | 1.39 (0.79–2.45) | 1.15 | 0.25 | 16.77 | 82.1 | 0 | ||
| CC versus (TT+TC) | 1.22 (0.87–1.71) | 1.18 | 0.23 | 2.21 | 0 | 0.53 | ||
| (TT+CC) versus TC | 0.80 (0.48–1.33) | 0.84 | 0.4 | 20.23 | 78.7 | 0 | ||
aNumber of studies. bRandom-effects model was used when P value for heterogeneity test p<0.1 or I2>50%; otherwise, fixed-effects model was used.
Figure 4Forest plots for the association between the VEGF-A rs833061 allele and AMD risk. A: Results from random effects meta-analysis of C allele versus T allele in the overall comparison. B: Results from random effects meta-analysis of CC versus TT model in the overall comparison. C: Results from random effects meta-analysis of C allele versus T allele model in the stratified analysis for wet AMD.
Results of meta-analysis of the association between rs2010963 polymorphism of VEGF-A gene and AMD risk.
| C versus G | 0.93 (0.77–1.12) | 0.7 | 0.48 | 1.77 | 0 | 0.41 | ||
| CC versus GG | 0.86 (0.56–1.32) | 0.69 | 0.49 | 3.83 | 47.8 | 0.14 | ||
| GC versus GG | 0.88 (0.66–1.17) | 0.87 | 0.38 | 1.28 | 0 | 0.52 | ||
| GC versus CC | 1.02 (0.49–2.15) | 0.07 | 0.94 | 6.07 | 67.1 | 0.04 | ||
| (GC+CC) versus GG | 0.90 (0.68–1.18) | 0.72 | 0.47 | 1.14 | 0 | 0.56 | ||
| CC versus (GG+CG) | 0.96 (0.49–1.89) | 0.1 | 0.91 | 5.48 | 63.5 | 0.06 | ||
| (GG+CC) versus GC | 1.05 (0.81–1.35) | 0.38 | 0.7 | 3.28 | 39.1 | 0.19 | ||
| C versus G | 0.90 (0.73–1.11) | 0.94 | 0.34 | 0.09 | 0 | 0.95 | ||
| CC versus GG | 0.81 (0.49–1.32) | 0.83 | 0.4 | 0.71 | 0 | 0.69 | ||
| GC versus GG | 0.85 (0.62–1.17) | 0.98 | 0.32 | 1.42 | 0 | 0.49 | ||
| GC versus CC | 0.95 (0.61–1.48) | 0.22 | 0.82 | 3.7 | 46 | 0.15 | ||
| (GC+CC) versus GG | 0.85 (0.63–1.16) | 0.99 | 0.32 | 0.56 | 0 | 0.75 | ||
| CC versus (GG+CG) | 0.88 (0.58–1.35) | 0.54 | 0.58 | 2.68 | 25.4 | 0.26 | ||
| (GG+CC) versus GC | 1.08 (0.81–1.43) | 0.56 | 0.57 | 3.7 | 46 | 0.15 | ||
aNumber of studies. bRandom-effects model was used when P value for heterogeneity test p<0.1 or I2>50%; otherwise, fixed-effects model was used.
Results of meta-analysis of the association between rs3025039 polymorphism of VEGF-A gene and AMD risk.
| T versus C | 1.12 (0.74–1.70) | 0.56 | 0.57 | 6.66 | 70 | 0.03 | ||
| TT versus CC | 1.60 (0.85–3.03) | 1.46 | 0.14 | 2.68 | 25.3 | 0.26 | ||
| CT versus CC | 1.01 (0.63–1.59) | 0.04 | 0.96 | 5.49 | 63.6 | 0.06 | ||
| CT versus TT | 1.66 (0.84–3.28) | 1.47 | 0.14 | 0.96 | 0 | 0.61 | ||
| (CT+TT) versus CC | 1.07 (0.67–1.71) | 0.31 | 0.75 | 6.3 | 68.2 | 0.04 | ||
| TT versus (CC+CT) | 1.62 (0.86–3.05) | 1.5 | 0.13 | 2 | 0 | 0.36 | ||
| (CC+TT) versus CT | 1.01 (0.66–1.55) | 0.07 | 0.94 | 4.88 | 59 | 0.08 | ||
aNumber of studies. bRandom-effects model was used when P value for heterogeneity test p<0.1 or I2>50%; otherwise, fixed-effects model was used.