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  • Research article
  • Open Access
  • Open Peer Review

Association between genetic variation of complement C3 and the susceptibility to advanced age-related macular degeneration: a meta-analysis

Contributed equally
BMC Ophthalmology201818:274

https://doi.org/10.1186/s12886-018-0945-5

  • Received: 4 December 2017
  • Accepted: 16 October 2018
  • Published:
Open Peer Review reports

Abstract

Background

The purpose of this study is to discuss whether genetic variants (rs2230199, rs1047286, rs2230205, and rs2250656) in the C3 gene account for a significant risk of advanced AMD.

Methods

We performed a meta-analysis using electronic databases to search relevant articles. A total of 40 case-control studies from 38 available articles (20,673 cases and 20,025 controls) were included in our study.

Results

In our meta-analysis, the pooled results showed that the carriage of G allele for rs2230199 and the T allele for rs1047286 had a tendency to the risk of advanced AMD (OR = 1.49, 95% CI = 1.39–1.59, P < 0.001; OR = 1.45, 95% CI = 1.37–1.54, P < 0.001). Moreover, in the subgroup analysis based on ethnicity, rs2230199 and rs1047286 polymorphisms were more likely to be a predictor of response for Caucasian region (OR = 1.48, 95% CI = 1.38–1.59, P < 0.001; OR = 1.45, 95% CI = 1.37–1.54, P < 0.001). Besides, pooled results suggested that the G allele of rs2230199 could confer susceptibility to advanced AMD in Middle East (OR = 1.62, 95% CI = 1.33–1.97, P < 0.001).

Conclusion

In our meta-analysis, C3 genetic polymorphisms unveiled a positive effect on the risk of advanced AMD, especially in Caucasians. Furthermore, numerous well-designed studies with large sample-size are required to validate this conclusion.

Keywords

  • Age-related macular degeneration
  • C3 gene
  • Polymorphism
  • Meta-analysis

Background

Age-related macular degeneration (AMD) is a complex and progressive retinal disorder influenced by family history, aging, race, smoking and diet, which caused irreversible visual impairment in a growing number of elderly persons [1, 2]. The early stage of AMD is characterized by pigmentary abnormalities of the retinal pigment epithelium (RPE) and extracellular deposits called drusen under the retina [3]. As the condition progresses, two advanced forms of this disease are developed: extensive pigment epithelium atrophy (geographic atrophy or dry AMD) or subretinal choroidal neovascular membrane (exudative or wet AMD). Although constituting only 10–15% of all AMD cases, advanced forms account for nearly 80% of AMD-related blindness in western countries [4]. It has been reported that the prevalence of advanced AMD is estimated at 3% in people aged > 65 years old, rising to 11% in those > 85 years old in developed world [5]. While, the pooled prevalence of advanced AMD is 0.56% among aged 40–79 years in Asian countries [6].

Advanced AMD has been implicated with important risk factors listed above, it is a multifactorial disease which influenced by a combination of environmental and genetic susceptibility [1, 3, 7, 8]. Although the well-defined pathogeny of advanced AMD remains to be unresolved, genetic association studies have provided consequential insights into the molecular basis of advanced AMD. Several genes at chromosomal loci 1q32 and 10q26, involving in inflammation and complement activation pathway, have been plausible candidate, as supported by the laboratory research in vitro and vivo that inflammation and immune response related proteins were found in drusen [911]. So far, the strongest genetic association has been identified on 1q32 with single nucleotide polymorphisms (SNPs) in complement factor H (CFH) gene by candidate region and whole genome association analyses [12, 13].

Apart from CFH, the central element of the complement cascade, complement component C3a has been interconnected with the vascular endothelial growth factor expression, geographic atrophy, retinal pigment epithelium deterioration, and progression to choroidal neovascularization [11, 14, 15]. These studies strongly indicated that aberrant regulation or activation of the complement pathway confer susceptibility to the main mechanism of advanced AMD. As the main regulator of the alternative complement pathway, several genetic variants in C3 gene have been investigated with advanced AMD in different ethnic groups, the pooled results are incompatible and ambiguous. According to the International HapMap Project database, the human C3 gene is located on chromosome 19 and exhibits nine common genetic SNPs (rs2230199, rs1047286, rs2241394, rs2250656, rs344542, rs2230205, rs339392, rs3745565, and rs11569536). Used for screening the electronic database and manual searching, the most widely condidate polymorphisms of the C3 gene which at least has been surveyed in three pertinent studies are rs2230199, rs1047286, rs2230205 and rs2250656. In order to better understand the genetic risk of C3 gene in the relationship with exudative AMD, we performed a meta-analysis to illuminate this association and determine whether the genetic variants of C3 gene conferred susceptibility to advanced AMD.

Materials and methods

Literature search

A systematic search of electronic database such as PubMed, Embase, CNKI, Cochrane library and Web of Science was conducted with the following keywords: (“AMD” or “maculopathy” or “macular degeneration” or “age-related maculopathy” or “age-related macular degeneration”) and (“complement 3” or “complement C3” or “C3” or “complement component 3”) and (“variant” or “mutation” or “genetic” or “SNP” or “polymorphism” or “genetic polymorphism” or “genetic variant” or “single nucleotide polymorphism”). Each database was thoroughly scanned and was up to date as of September 1 2018. Our meta-analysis was mainly focused on case-control studies, without any language limitation imposed in the literature searching.

Study selection

Retrieved articles were considered eligible for our meta-analysis when they met the following inclusion criteria: (1) investigating the disease risk of C3 polymorphism with advanced AMD; (2) detailed genetyping data for each site could be acquired to estimate the odds ratio (OR) and 95% confidence interval (CI) based on genetic model contrast; (3) individual for all selected samples met the modified version of the age-related eye disease study (AREDS) grading system as described elsewhere. Major exclusion criteria were limited to several items as follow: (1) overlapping subjects in several articles for the same research group; (2) only focused on families individuals rather than sporadic advanced AMD patients; (3) abstract from conferences, letters, review articles and case reports. When several articles included some of the same samples, the one with largest individuals and thorough genotype information would be winnowed for our meta-analysis.

Data extraction

Data from the retrieved studies were extracted independently by two reviewers (J.Z. and S.L.). The following items obtained from each eligible articles included: the first author, the year of publication, country and ethnicity of subjects, information on study design, sample size, genotyping methods and distribution in case and control groups. Two authors carefully inspected the raw statistics and reached a consensus in all aspects. If any disagreement still existed, the third author (S.H.) would be invited to chew over current controversy and resolve the dispute.

Quality assessment

Quality assessment of the screened studies was also independently conducted by two reviewers (J.Z. and S.L.) in the basis of the HuGENet Handbook [16]. A total of six bias assessment items were refined to investigate the relationship between genes and diseases from this handbook, including bias in selection of cases, bias in selection of controls, bias in genotyping cases, bias in genotyping controls, bias in population stratification, confounding bias, multiple tests, and selective outcome reports. The quality evaluation of every items for extracted articles was defined as “Yes” or“No”. Separately, “Unclear” was designated if there was not enough information to make a decision. A series of corrections and judgements were performed independently by another coauthor (S.H.) if debate still lasted in the assessment. Consensus referring all items was achieved after discussion.

Statistical analysis

Allele and genotype frequency of each C3 polymorphic site were counted between cases and healthy controls. The genetic strength association including pooled ORs and 95% CIs was assessed using different genetic models, including allele model (A vs. a), homozygote model (AA vs. aa), heterozygote model (Aa vs. aa), dominant (AA+Aa vs. aa), recessive (AA vs. Aa+aa). The heterogeneity assumption between studies was estimated and evaluated by Cochran’s Q statistic as well as the I2 statistic. The result that our P value of Q statistic was less than 0.05 or the I2 value was greater than 50% suggested apparent heterogeneity, thus a random-effect model was utilized in our model analysis. Otherwise, the fixed-effect model was performed [17]. Sensitivity analyses was conducted to assess the effect of each study and the stability of the pooled ORs by removing included study in turn from the compiled list. Begg’s funnel plots [18] and Egger’s regression test [19] were furthered to detect the potential publication bias. All statistical analysis using two-sided P values was executed by STATA 12.0 software (StataCorp LP, College Station, Texas, USA). A significant difference was estimated under the level of 0.05. The final results needed to be tested and verified by two authors (J.Z. and S.L.) respectively.

Results

Overall characteristics of selected studies and quality assessment

The flow diagram for literature searching is summarized in Fig. 1. A total of 1201 articles from the five databases (Additional file 1) were filtered by our search method. Of which, 886 studies were excluded for the three aspects: (1) 711 duplicated articles; (2) 83 articles not related to the theme of this investigation; (3) 92 articles mainly referred to abstract, conference, review, and case report. Through our rigorous inspection, 269 ones in the rest of articles were stroke out. Of them, 172 articles were focused on the every stage of AMD but not advanced AMD, 97 articles were not concerned with the association between advanced AMD and C3 genetic polymorphism. The other 46 full-text articles were left in our meta-analysis. Seven of them did not have detailed genotype data after cautiously reading the included literatures.Besides, two papers were investigated by the same author and the same batch of patients from Iran [20, 21]. We decided to choose the one which had larger samples size and more comprehensive directions. Finally, 40 case-control studies regarding the association of C3 gene with advanced AMD from 38 available publications were generally contained in our current meta-analysis [4, 20, 2257]. The common characteristics of each article are generally showed in Table 1. As listed in the table, 30 studies from Caucasian region, 7 studies from East Asian group and 3 studies from Middle East have been chosen in our meta-analysis. The genotyping methods for our whole sample are distinct and the results could be validated in different ways.
Fig. 1
Fig. 1

Flow diagram presenting the result of literature searching process in meta-analysis

Table 1

The General Characteristics of All Studies Included in our Meta-Analysis

Refs

Year

Country

Ethnicity

Case/Control

Mean age of AMD

Mean age of control

Typing teaching

Study design

Yate et al. [54]

2007

UK

Caucasian

603/350

79.4 ± 7.2

75.3 ± 7.8

SNaPshot

Sex-,age-,ethnic-,matched

Yate et al. [54]

2007

Scotland

Caucasian

244/351

77.8 ± 9.2

78.0 ± 8.5

TaqMan

Sex-,age-,ethnic-,matched

Maller et al. [41]

2007

America

Caucasian

1238/934

NA

NA

MALDI-TOF MS

Age-,ethnic-, matched

Edwards et al. [31]

2008

America

Caucasian

444/300

NA

NA

Illumina GoldenGate

Age-,ethnic-, matched

Spencer et al. [50]

2008

America

Caucasian

286/701

76.5 ± 7.7

66.9 ± 8.3

TaqMan

Sex-,age-,ethnic-,matched

Scholl et al. [4]

2009

German

Caucasian

99/612

71.8 ± 7.4

76.2 ± 5.3

MALDI-TOF MS

Sex-,age-,ethnic-,matched

Francis et al. [32]

2009

America

Caucasian

211/187

79

74

Sequencing

Age-,ethnic-, matched

Park et al. [44]

2009

America

Caucasian

898/599

80.6 ± 5.0

77.6 ± 4.3

Illumina GoldenGate

Sex-,age-,ethnic-,matched

Despriet et al. [30]

2009

Netherlands

Caucasian

268/173

78.7 ± 7.7

74.1 ± 6.3

TaqMan

Sex-,age-,ethnic-,matched

Bergeron et al. [22]

2009

America

Caucasian

421/215

64.8

66.5

TaqMan

Sex-,age-,ethnic-,matched

Reynolds et al. [47]

2009

America

Caucasian

120/60

82.0 ± 6.9

79.0 ± 4.4

MALDI-TOF MS

Sex-,age-,ethnic-,matched

Pei et al.[45]

2009

China

East Asian

123/130

70.6 ± 8.2

69.2 ± 10.1

MALDI-TOF MS

Sex-,age-,ethnic-, matched

Cui et al. [29]

2010

China

East Asian

150/161

66.6 ± 8.4

65.7 ± 7.8

PCR-RFLP/ Sequencing

Sex-,age-,ethnic-, matched

Zerbib et al. [56]

2010

France

Caucasian

1080/406

79.0 ± 7.4

67.8 ± 7.7

TaqMan

Sex-,age-,ethnic-, matched

McKay et al. [43]

2010

Northern Ireland

Caucasian

437/436

77.6

74.9

SNaPshot

Sex-,age-,ethnic-, matched

Chen et al. [25]

2010

America

Caucasian

2157/1150

78.6

74.1

Illumina GoldenGate

Sex-,age-,ethnic-, matched

Kopplin et al. [37]

2010

America

Caucasian

377/161

NA

NA

Affymetrix GeneChip

Age-,ethnic-, matched

Liu et al. [39]

2010

China

East Asian

158/220

64.0 ± 6.6

63.0 ± 7.8

SNaPshot

Sex-,age-,ethnic-, matched

Yu et al. [55]

2011

America

Caucasian

1082/221

79.5 ± 5.5

77.0 ± 4.6

MALDI-TOF MS

Sex-,age-,ethnic-, matched

Chen et al. [26]

2011

America

Caucasian

1335/509

70.2 ± 5.1

67.0 ± 4.3

SNaPshot

Sex-,age-,ethnic-, matched

Hageman et al. [33]

2011

America

Caucasian

1132/822

76.5 ± 7.1

76.4 ± 7.3

NA

Sex-,age-,ethnic-, matched

Peter et al. [46]

2011

America

Caucasian

48/1260

NA

NA

TaqMan

Age-,ethnic-, matched

Yanagisawa et al. [53]

2011

Japan

East Asian

420/197

74.0 ± 7.5

72.0 ± 6.0

TaqMan

Sex-,age-,ethnic-, matched

Martinez et al. [42]

2012

Spain

Caucasian

259/191

NA

NA

SNaPshot

Age-,ethnic-, matched

Smailhodzic et al. [49]

2012

Netherlands

Caucasian

197/150

NA

NA

Sequencing

Sex-,age-,ethnic-, matched

Buentello et al. [23]

2012

Mexico

Caucasian

159/152

76.4 ± 8.1

73.5 ± 6.8

PCR-RFLP

Sex-,age-,ethnic-, matched

Tian et al. [51]

2012

China

East Asian

535/469

NA

NA

MALDI-TOF MS

Age-,ethnic-, matched

Losonczy et al. [40]

2012

Hungary

Caucasian

275/106

76.0 ± 7.3

79.1 ± 6.1

PCR-RFLP

Sex-,age-,ethnic-, matched

Cipriani et al. [27]

2012

UK

Caucasian

893/2199

78.6 ± 7.5

NA

Illumina BeadChip

Sex-,age-,ethnic-, matched

Jaouni et al. [36]

2012

Israel

Middle East

317/159

78.1 ± 7.6

70.8 ± 8.2

PCR-RFLP

Sex-,age-,ethnic-, matched

Wu et al. [52]

2013

China

East Asian

165/216

69.4 ± 10

64.5 ± 8.0

TaqMan

Sex-,age-,ethnic-, matched

Helgason et al. [35]

2013

Iceland

Caucasian

1107/2869

NA

NA

Illumina BeadChip

Age-,ethnic-, matched

Helgason et al. [35]

2013

America

Caucasian

1525/1288

NA

NA

Illumina BeadChip

Age-,ethnic-, matched

Contreras et al. [28]

2014

Mexico

Caucasian

273/201

76.0 ± 8.0

65.5 ± 9.8

TaqMan

Sex-,age-,ethnic-, matched

Caire et al. [24]

2014

Spain

Caucasian

154/141

75.4 ± 7.2

78.5 ± 7.2

SNaPshot

Sex-,age-,ethnic-, matched

Liu et al. [38]

2014

China

East Asian

200/275

75.3 ± 7.7

74.3 ± 7.6

TaqMan

Sex-,age-,ethnic-, matched

Hautamaki et al. [34]

2015

Finland

Caucasian

301/119

NA

NA

Sequencing

Age-,ethnic-, matched

Saksens et al. [48]

2016

Netherlands

Caucasian

571/900

76.6 ± 8.5

71.3 ± 6.7

KASP

Sex-,age-,ethnic-, matched

Bonyadi et al. [20, 21]

2017

Iran

Middle East

266/228

76.4 ± 7.6

72.7 ± 6.8

PCR-RFLP

Sex-,age-,ethnic-, matched

Habibi et al. [57]

2017

Tunisia

Middle East

145/207

73.1 ± 8.1

NA

PCR-SSP

Age-,ethnic-, matched

Bias assessment of the included studies

Overall results in Table 2 primarily expound the evaluation of potential sources of bias in our included studies. Overall, the quality of the included studies was consistently absolute. Of the studies, there was no obvious bias in the selection of cases and controls, genotyping controls, population stratification, confounding bias, multiple tests, or selective outcome reports.
Table 2

Assessment of potential bias in included studies

Year

First author

Bias in selection of cases

Bias in selection of controls

Bias in genotyping controls

Bias in population stratification

Confounding bias

Multiple test and Selective outcome reports

2007

Yate et al. [54]

NO

NO

NO

NO

NO

NO

2007

Maller et al. [41]

NO

NO

NO

NO

NO

NO

2008

Edwards et al. [31]

NO

NO

NO

NO

NO

NO

2008

Spencer et al. [50]

NO

NO

NO

NO

NO

NO

2009

Scholl et al. [4]

NO

NO

NO

NO

NO

NO

2009

Francis et al. [32]

NO

NO

NO

NO

NO

NO

2009

Park et al. [44]

NO

NO

NO

NO

NO

NO

2009

Despriet et al. [30]

NO

NO

NO

NO

NO

NO

2009

Bergeron et al. [22]

NO

NO

NO

NO

NO

NO

2009

Reynolds et al. [47]

NO

NO

NO

NO

NO

NO

2009

Pei et al. [45]

NO

NO

NO

NO

NO

NO

2010

Cui et al. [29]

NO

NO

NO

NO

NO

NO

2010

Zerbib et al. [56]

NO

NO

NO

NO

NO

NO

2010

McKay et al. [43]

NO

NO

NO

NO

NO

NO

2010

Chen et al. [25]

NO

NO

NO

NO

NO

NO

2010

Kopplin et al. [37]

NO

NO

NO

Unclear

NO

NO

2010

Liu et al. [39]

NO

NO

NO

NO

NO

NO

2011

Yu et al. [55]

NO

NO

NO

NO

NO

NO

2011

Chen et al. [26]

NO

NO

NO

NO

NO

NO

2011

Hageman et al. [33]

NO

NO

NO

Unclear

NO

NO

2011

Peter et al. [46]

Yes

NO

NO

Unclear

NO

NO

2011

Yanagisawa et al. [53]

NO

NO

NO

NO

NO

NO

2012

Martinez et al. [42]

NO

NO

NO

NO

NO

NO

2012

Smailhodzic et al. [49]

NO

NO

NO

NO

NO

NO

2012

Buentello et al. [23]

NO

NO

NO

NO

NO

NO

2012

Tian et al. [51]

NO

NO

NO

NO

NO

NO

2012

Losonczy et al. [40]

NO

NO

NO

NO

NO

NO

2012

Cipriani et al. [27]

NO

Yes

NO

NO

NO

NO

2012

Jaouni et al. [36]

NO

NO

NO

NO

NO

NO

2013

Wu et al. [52]

NO

NO

NO

NO

NO

NO

2013

Helgason et al. [35]

NO

NO

NO

NO

NO

NO

2014

Contreras et al. [28]

NO

NO

NO

NO

NO

NO

2014

Caire et al. [24]

NO

NO

NO

NO

NO

NO

2014

Liu et al. [38]

NO

NO

NO

NO

NO

NO

2015

Hautamaki et al. [34]

NO

NO

NO

NO

NO

NO

2016

Saksens et al. [48]

NO

NO

NO

NO

NO

NO

2017

Bonyadi et al. [20, 21]

NO

NO

NO

NO

NO

NO

2017

Habibi et al. [57]

NO

NO

NO

NO

NO

NO

Relationship of C3 gene polymorphisms with advanced AMD susceptibility

Several genetic models for C3 polymorphisms including rs2230199, rs1047286, rs2230205, rs2250656 were used in our meta-analysis and the combined results are presented in Table 3. Briefly, 36 studies discussed the association of rs2230199 with advanced AMD, 13 studies investigated the relationship between rs1047286 and advanced AMD, 5 studies referred to rs2230205, rs2250656, respectively.
Table 3

Main Results of Pooled ORs and Analysis of C3 gene polymorphism with advanced AMD in our Meta-Analysis

Subgroup

No. of studies

No. of patients

Allele model

Homozygote model

Heterozygote model

Dominant model

Recessive model

Cases

Control

OR(95% CI)

P

OR(95% CI)

P

OR(95% CI)

P

OR(95% CI)

P

OR(95% CI)

P

C3 rs2230199 (Associated allele vs. Reference allele: G vs. C)

Overall

36

34,805

29,499

1.49 (1.39,1.59)

< 0.001

2.33 (1.98,2.74)

< 0.001

1.53 (1.41,1.64)

< 0.001

1.62 (1.51,1.74)

< 0.001

1.99 (1.70,2.34)

< 0.001

Caucasian

28

31,372

26,130

1.48 (1.38,1.59)

< 0.001

2.20 (1.87,2.60)

< 0.001

1.55 (1.43,1.67)

< 0.001

1.63 (1.51,1.75)

< 0.001

1.88 (1.59,2.21)

< 0.001

East Asian

5

2122

2388

1.11 (0.56,2.20)

0.76

1.32 (0.91,1.93)

0.144

1.49 (1.04,2.15)

0.032

5.60 (1.57,19.9)

Middle East

3

1311

981

1.62 (1.33,1.97)

< 0.001

1.07 (0.66,1.73)

0.798

1.49 (0.95,2.34)

0.085

25.5 (3.35,194)

C3 rs1047286 (Associated allele vs. Reference allele: T vs. C)

Overall

13

16,232

16,222

1.45 (1.37,1.54)

< 0.001

2.06 (1.56,2.72)

< 0.001

1.72 (1.51,1.96)

< 0.001

1.76 (1.56,2.00)

< 0.001

1.71 (1.30,2.24)

< 0.001

Caucasian

10

14,688

14,548

1.45 (1.37,1.54)

< 0.001

2.06 (1.56,2.72)

< 0.001

1.72 (1.50,1.96)

< 0.001

1.76 (1.55,2.00)

< 0.001

1.71 (1.30,2.24)

< 0.001

East Asian

3

1544

1674

1.75 (0.49,6.29)

0.388

2.06 (0.38,11.3)

0.404

2.06 (0.38,11.3)

0.404

C3 rs2230205 (Associated allele vs. Reference allele: A vs. G)

Overall

5

3302

2732

0.99 (0.89,1.11)

0.903

1.04 (0.77,1.42)

0.780

1.00 (0.80,1.23)

0.967

1.00 (0.81,1.22)

0.992

1.06 (0.81,1.37)

0.687

Caucasian

1

880

598

0.90 (0.66,1.23)

0.507

0.45 (0.12,1.60)

0.215

0.98 (0.69,1.39)

0.902

0.93 (0.66,1.32)

0.699

0.45 (0.13,1.60)

0.217

East Asian

4

2422

2134

1.01 (0.89,1.14)

0.903

1.10 (0.80,1.51)

0.546

1.01 (0.77,1.32)

0.967

1.04 (0.80,1.33)

0.787

1.10 (0.84,1.43)

0.497

C3 rs2250656 (Associated allele vs. Reference allele: G vs. A)

Overall

5

3278

2632

0.90 (0.75,1.08)

0.257

0.76 (0.49,1.16)

0.207

0.78 (0.65,0.95)

0.014

0.78 (0.65,0.94)

0.010

0.83 (0.55,1.27)

0.391

Caucasian

1

874

512

0.82 (0.64,1.05)

0.117

0.77 (0.42,1.42)

0.407

0.76 (0.55,1.05)

0.097

0.76 (0.56,1.04)

0.085

0.87 (0.48,1.57)

0.642

East Asian

4

2404

2120

0.92 (0.73,1.16)

0.486

0.74 (0.41,1.37)

0.340

0.80 (0.63,1.02)

0.068

0.79 (0.63,1.00)

0.052

0.80 (0.44,1.45)

0.456

Association between SNP rs2230199 of C3 gene and advanced AMD

As shown in Table 3, there was a significant association between the rs2230199 SNP and advanced AMD susceptibility in the overall populations (allelic model: OR = 1.49, 95% CI = 1.39–1.59, P < 0.001; homozygote model: OR = 2.33, 95% CI = 1.98–2.74, P < 0.001; heterozygote model: OR = 1.53, 95% CI = 1.41–1.64, P < 0.001; dominant model: OR = 1.62, 95% CI = 1.51–1.74, P < 0.001; recessive model: OR = 1.99, 95% CI = 1.70–2.34, P < 0.001). Moreover, the subgroup analysis straitified by ethnicity indicated that rs2230199 conferred obvious susceptibility to advanced AMD in the group of Caucasian in allelic (OR = 1.48, 95% CI = 1.38–1.59, P < 0.001) (Fig. 2), homozygote (OR = 2.20, 95% CI = 1.87–2.60, P < 0.001), heterozygote (OR = 1.55, 95% CI = 1.43–1.67, P < 0.001), dominant (OR = 1.63, 95% CI = 1.51–1.75, P < 0.001), recessive (OR = 1.88, 95% CI = 1.59–2.21, P < 0.001) models (Table 3). Besides, the allelic comparison yielded a positive correlation in Middle East group (OR = 1.62, 95% CI = 1.33–1.97, P < 0.001). However, this relationship was not significant in East Asian group for any genetic models (Table 3).
Fig. 2
Fig. 2

Evaluation of the association between C3 genetic polymorphism (rs2230199) with advanced AMD

Association between SNP rs1047286 of C3 gene and advanced AMD

Significant association between this SNP and advanced AMD was confirmed in the overall populations (allelic model: OR = 1.45, 95% CI = 1.37–1.54, P < 0.001; homozygote model: OR = 2.06, 95% CI = 1.56–2.72, P < 0.001; heterozygote model: OR = 1.72, 95% CI = 1.51–1.96, P < 0.001; dominant model: OR = 1.76, 95% CI = 1.56–2.00, P < 0.001; recessive model: OR = 1.71, 95% CI = 1.30–2.24, P < 0.001). In subgroup analysis stratified by ethnicity, our meta-analysis indicated significant correlation of rs1047286 with advanced AMD in the five genetic models (allelic model: OR = 1.45, 95% CI = 1.37–1.54, P < 0.001 (Fig. 3); homozygote model: OR = 2.06, 95% CI = 1.56–2.72, P < 0.001; heterozygote model: OR = 1.72, 95% CI = 1.50–1.96, P < 0.001; dominant model: OR = 1.76, 95% CI = 1.55–2.00, P < 0.001; recessive model: OR = 1.71, 95% CI = 1.30–2.24, P < 0.001) (Table 3). This association could not be found in East Asian group for any genetic model (Table 3).
Fig. 3
Fig. 3

Assessment of the association between C3 genetic polymorphism (rs1047286) with advanced AMD

Association between SNP rs2230205 of C3 gene and advanced AMD

No association between this SNP and advanced AMD was achieved in the overall populations (allelic model: OR = 0.99, 95% CI = 0.89–1.11, P = 0.903; homozygote model: OR = 1.04, 95% CI = 0.77–1.42, P = 0.780; heterozygote model: OR = 1.00, 95% CI = 0.80–1.23, P = 0.967; dominant model: OR = 1.00, 95% CI = 0.81–1.22, P = 0.992; recessive model: OR = 1.06, 95% CI = 0.81–1.37, P = 0.687). Subgroup analysis of Caucasian and East Asian group showed that there was a lack of relationship in any of the genetic models (Fig. 4, Table 3).
Fig. 4
Fig. 4

Estimation of the association between C3 genetic polymorphism (rs2230205) with advanced AMD

Association between SNP rs2250656 of C3 gene and advanced AMD

The results of meta-analysis showed that there was not a positive association between this SNP and advanced AMD in the overall populations (allelic model: OR = 0.90, 95% CI = 0.75–1.08, P = 0.257; homozygote model: OR = 0.76, 95% CI = 0.49–1.16, P = 0.207; recessive model: OR = 0.83, 95% CI = 0.55–1.27, P = 0.391). But a weakly protective risk between this SNP and advanced AMD was observed in heterozygote model and dominant model (OR = 0.78, 95% CI = 0.65–0.95, P = 0.014; OR = 0.78, 95% CI = 0.65–0.94, P = 0.010, respectively). In the stratified analysis by ethnicity, there was no association in any of the genetic models. (Fig. 5, Table 3).
Fig. 5
Fig. 5

Evaluation of the association between C3 genetic polymorphism (rs225065) with advanced AMD

Heterogeneity test and sensitivity analysis

Significant heterogeneity between these studies was observed among two SNPs (rs2230199 and rs2250656) (P < 0.1) (Figs. 2, 5). The results of our subgroup analysis confirmed that ethnicity was the primary sources of heterogeneity. Additionally, sensitivity analysis was conducted to evaluate the effect of individual study on the pooled ORs by sequentially omitting each study. The pooled ORs were not affected by removing any study (Fig. 6, the sensitivity analysis of rs2230199; others see Additional file 2: Figures S1-S3).
Fig. 6
Fig. 6

Evaluation of the sensitivity analysis between C3 genetic polymorphism (rs2230199) with advanced AMD

Publication bias

Publication bias is a potential problem, thus Begg’s funnel plots and Egger’s regression tests were applied to investigate the publication bias for C3 genetic polymorphism. Four symmetrical funnel plots suggested that both tests had no evidence of significant bias (data not shown). Furthermore, as emerged in Table 4, the pooled P values for both tests are more than 0.05.
Table 4

Bias between C3 genetic polymorphism with advanced AMD in our Meta-Analysis

Polymorphism

Number of publication

Publication bias

Begg’s test

Egger’s test

rs2230199

36

0.653

0.790

rs1047286

13

0.428

0.124

rs2230205

5

1.000

0.905

rs2250656

5

1.000

0.594

Discussion

AMD is a multifactorial disease, in which complement system mediated inflammation plays a pivotal role. Several pathways including the alternative complement component have been described to be implicated in the development of AMD [54]. As the central element of the complement cascade, C3 has been a plausible candidate gene since its cleavage product C3a was confirmed in drusen. In our current meta-analysis, 20,673 patients and 20,025 controls from 38 articles were combined to detect the association of C3 genetic polymorphisms with advanced AMD. We came to the conclusion that two nonsynonymous SNPs rs2230199 and rs1047286 were demonstrated an increased pathogenic effect on advanced AMD (rs2230199: allelic model: OR = 1.49, 95% CI = 1.39–1.59, P < 0.001; homozygote model: OR = 2.33, 95% CI = 1.98–2.74, P < 0.001; rs1047286: allelic model: OR = 1.45, 95% CI = 1.37–1.54, P < 0.001; homozygote model: OR = 2.06, 95% CI = 1.56–2.72, P < 0.001). Moreover, our meta-analysis discovered that SNP rs2250656 decreased the risk of advanced AMD susceptibility, which a protective association was acquired in heterozygote model and dominant model. Obviously, the results of SNP rs2250656 with advanced AMD needed to be validated with larger samples and studies in different ethnicity.

Being consistent with previous studies, the G allele of rs2230199 conferred susceptibility to advanced AMD in Caucasian group. In our meta-analysis, we first confirmed that the G allele of rs2230199 could be linked with AMD in Middle East but not East Asian region, though rather larger population needed to be validated in the future. Besides, our meta-analysis found a novel association between the T allele of rs1047286 and advanced AMD in Caucasian but not East Asian group.

The common polymorphisms rs2230199 and rs1047286 in the C3 gene have been identified as genetic risk factors for advanced AMD in Caucasian populations. However, the allele frequencies of rs2230199 vary widely among different ethnicities. Frequencies of the risk G allele at rs2230199 were 25% to 31% in AMD cases and 19% to 21% in controls in Caucasians [29]. Besides, the frequencies of G allele was 14% to 25% in both cases and controls in Middle East region [20, 57]. While, the risk allele were absent in Japanese and rare (< 1%) in Chinese populations [53]. For rs1047286, frequencies of the risk T allele were 27% to 29% in AMD and 20% to 22% in controls in Caucasians. Cui et al. [29] also foud that rs1047286 was only 0.3% to 1% in both cases and controls and was not significantly associated with advanced AMD in Chinese population. The facts that rs2230199 and rs1047286 did not show tendency to risk of advanced AMD in East East but in Caucasian and Middle East could be explained by the lower minor allele frequencies (< 5%) of this two SNPs, suggesting that the susceptibility to advanced AMD by the variants of rs2230199 and rs1047286 did not transcend ethnic lines. In other words, this difference in the association between different ethnicities may result from other influence factors such as geography, the level of socioeconomic development or race.

The gene for C3 is located on the short arm of chromosome 19 and consists of 41 exons, which forms 13 functional domains. C3 is the most abundant complement component and significant C3 messenger RNA is detected in the neural retina, choroid, RPE, and cultured RPE cells [58]. Cleavage of C3 into C3a and C3b is the central step in complement activation, which amplifies the complement response, resulting in the formation of lytic pores in the cell membrane. Janssen et al. [59] argued that cleaved native C3 undergoes important structural rearrangements which causes conformational changes exposing binding sites for complement components and drusen including C3 and its activation products was confirmed in the finding that local inflammation and activation of the complement cascade can contribute to the pathogenesis of AMD. Notably, animal studies conducted by Bora et al. [60, 61] have indicated that C3 deficiency in C3−/− mice prevented the formation of choroidal neovascularization in advanced AMD (wet AMD), indicating that C3 is a pivotal element of this activation process.

In our meta-analysis, four SNPs including rs2230199, rs1047286, rs223205 and rs2250656 were analyzed in the pooled data. Among them, rs2230199 and rs1047286 are located in the first ring of macroglobulin domains, which conduct a prominent function for correct orientation of the thioester-containing domain. The amino acid changes induced by the genetic mutations may alter the configuration of the macroglobulin ring [62]. With evidence supporting a biologic functional effect through the formation of two electrophoretic allotypes in rs2230199 genetic site (C3F and C3S), the two alleles showed a differential capacity to bind monocyte- complement receptor. Helgason et al. [35] noted that the G allele in rs2230199 (C3F) was associated with the reduction of C3 gene binding to CFH, which leads to an increase in complement activation. Additionally, rs2230199 variant may alter the net charge of the molecule and influence the position of the thioester-containing domain. Except for advanced AMD, the risk variant of rs2230199 has been previously considered as associated with other immune-mediated conditions, such as IgA nephropathy, systemic vasculitis.

In the current meta-analysis, rs1047286 variant showed significant association with advanced AMD in Caucasian populations. Despriet et al. [30] argued that rs2230199 and rs1047286 variants were in high linkage disequilibrium (LD) (D’ = 0.90, r2 = 0.80), which haplotype analyses suggested that the effect of the C3 alleles was independent from the established genetic and environmental risk factors. Furthermore, our pooled analysis of neighboring SNPs of rs2230199 indicated that the allele frequency of the variant rs2230205 and rs2250656 was not significantly different between the advanced AMD cases and controls. Pei et al. [45] confirmed that the G allele of rs2250656 variant may be a protective factor for the development of AMD in East Asian. Given that the site of rs2250656 lies near the junction of intron 2 and exon 3, which contain short sequences and regulate the expression of gene and neighboring genes, it may contribute to the low risk for advanced AMD. Obviously, our pooled results were inconsistent with Pei’s report, owing to the relative small sample size and distinct environmental elements.

In a previous meta-analysis where a total of 15 independent studies with 5593 cases and 5181 controls were included, Zhang et al. [63] indicated that rs2230199 C > G SNP increased the risk of AMD development and the G allele was a risk factor for AMD in Caucasian but not Asians. Moreover, Yu et al. [64] have implemented a systemic meta-analysis and the overall results suggested a positive association between rs2230199, rs1047286 and AMD susceptibility. Additionally, Despriet et al. [30] have clarified these positive associations for only four available studies. In comparison to previous meta-analyses, our analysis mainly focused on the major form of AMD (advanced AMD) and was involved with a greater number of studies and larger sample size. These would make our pooled ORs more believable, stable, and accurate than before, especially in the association with advanced AMD. Moreover, our present meta-analysis encompassed an acceptable quality evaluation system, minimizing the potential bias.

Considerable efforts have been paid to discuss the potential relationship between C3 genetic polymorphisms and advanced AMD, some limitations for our present meta-analysis need to be declared. First, heterogeneity among the ethnic groups was discovered when investigating the association of C3 genetic variants with advanced AMD. However, based on the results of the sensitivity analysis, it is clear that the overall effect was not affected by heterogeneity. Additionally, there was no obvious publication bias detected in the contrast of C3 gene with advanced AMD. Second, the number of patients and controls was relatively small in each included study; therefore, a great number of samples from different ethnic regions are required for further analysis. Third, the effects of common confounding factors, including sex, age, body mass index, smoking, and diet were not evaluated in the present study because of insufficient data. Fourth limitation is that only three ethnic backgrounds with relatively few studies were taken into consideration, thus further efforts to reduce the incidence of ethnic bias will be needed once raw data become available. Finally, the electronic databases from which we selected eligible studies were listed in English and Chinese; therefore, a language bias may be existed in our meta-analysis.

Conclusion

The present meta-analysis provided a series of evidence-based pooled data for a significant association between rs2230199, rs1047286 and susceptibility to advanced AMD, especially in Caucasians. Additional well-designed work with a larger number of studies in which incorporate different ethnicities together with gene-gene and gene-environment is recommended to better confirm the functional role of the two nonsynonymous polymorphisms.

Notes

Declarations

Acknowledgments

None.

Funding

This work was supported by National Natural Science Foundation Project (81300761) and Key Project of Health and Family Planning Commission of Wuhan Municipality (WX18A08).

Availability of data and materials

All data has been shared in the Figures and Tables.

Authors’ contributions

YX designed the study. JZ and SL collected and checked the available information from eligible articles in this meta-analysis. SH analyzed the data. JY prepared the Fig. 1-6, Additional file 1: Fig. S1-S3 and Table 1-4. JZ and SL wrote the main manuscript text. YX reviewed and revised the manuscript. All authors censored and approved the manuscript.

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Authors’ Affiliations

(1)
Department of Ophthalmology, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, NO, 26 Shengli Street, Wuhan, 430014, Hubei Province, China
(2)
Department of Ophthalmology, the Jingzhou aier eye hospital, Jingzhou, Hubei Province, China

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