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. 2014 Feb 14;36(3):9627. doi: 10.1007/s11357-014-9627-2

In-depth analyses unveil the association and possible functional involvement of novel RAD51B polymorphisms in age-related macular degeneration

Xi K Chu 1, Catherine B Meyerle 2, Xiaoling Liang 3, Emily Y Chew 2, Chi-Chao Chan 1, Jingsheng Tuo 1,✉
PMCID: PMC4082603  PMID: 24526414

Abstract

The contribution of DNA damage to the pathogenesis of age-related macular degeneration (AMD) has been reported. Recently, a genomewide association study detected the association of a single-nucleotide polymorphism (SNP) in RAD51B (rs8017304 A>G) with AMD. RAD51B is involved in recombinational repair of DNA double-strand breaks. We analyzed RAD51B influence on AMD using two cohorts from Caucasian and Han Chinese populations. The Caucasian set replicated the rs8017304 A>G association and revealed two novel AMD-associated SNPs in RAD51B, rs17105278 T>C and rs4902566 C>T. Under the dominant model, these two SNPs exhibit highly significant disease risk. SNP–SNP interaction analysis on rs17105278 T>C and rs4902566 C>T homozygous demonstrated a synergistic effect on AMD risk, reaching an odds ratio multifold higher than well-established AMD susceptibility loci in genes such as CFH, HTRA1, and ARMS2. Functional study revealed lower RAD51B mRNA expression in cultured primary human fetal retinal pigment epithelium (hfRPE) carrying rs17105278 T>C variants than in hfRPE carrying rs17105278 wild type. We concluded that the risk of developing AMD exhibits dose dependency as well as an epistatic combined effect in rs17105278 T>C and rs4902566 C>T carriers and that the elevated risk for rs17105278 T>C carriers may be due to decreased transcription of RAD51B. This study further confirms the role of DNA damage/DNA repair in AMD pathogenesis.

Keywords: Age-related macular degeneration, RAD51B, DNA repair, Single-nucleotide polymorphism, Functional genomicsl, Gene expression

Introduction

Age-related macular degeneration (AMD) is currently the leading cause of irreversible central vision loss in the elderly (Chou et al. 2013), and its incidence is only expected to increase with the aging population (Clemons et al. 2005a). AMD is a complex and multifactorial disease that involves significant interplay between genetic and environmental factors. Smoking, diet, and age have all been linked to AMD (Coleman et al. 2008). Twin studies and family studies have revealed an important genetic component to AMD. Multiple AMD susceptibility loci, such as CFH, ARMS2/HTRA1, CFB, C2, and C3, have been reported through genomewide association studies (GWAS) and have demonstrated strong size effect and highly repeatable results (Ding et al. 2009; Dewan et al. 2006; Chen et al. 2006).

Oxidative stress has been linked to various types of DNA damage that play a significant role in aging and age-related disorders (Singh et al. 2009; Wilson and Bohr 2007). The retina, particularly the macula, is an environment with elevated oxygen levels, prolonged exposure to irradiation, and the continual phagocytosis of photoreceptors (Beatty et al. 2000). Previous studies have demonstrated DNA damage arising from oxidative stress to be a significant contributor to AMD (Szaflik et al. 2009; Wozniak et al. 2009).

Recently, a large-scale GWAS conducted by the International AMD Genomics Consortium reported several new susceptibility loci associated with AMD including rs8017304 A>G in the gene RAD51B (Fritsche et al. 2013). RAD51B is a known member of the RAD51 paralogs and is involved in homologous recombinational repair of DNA double-strand breaks by promoting the activity of the central recombinase (Suwaki et al. 2011). Absence of the RAD51B protein is thought to disrupt formation of the RAD51 nucleoprotein filament, the initial stage of homologous recombinational repair (Takata et al. 2000). Considering the demonstrated link between DNA damage and AMD, the critical role of RAD51B in DNA repair, and the recent report of rs8017304 A>G association with AMD, we chose RAD51B as a candidate gene for our study. We used two independent AMD sample sets to analyze genotype frequencies in tag-nucleotide polymorphisms (SNPs) spanning RAD51B including the reported rs8017304 A>G. RAD51B associations with AMD were extensively analyzed using independent cohorts, phenotypic stratification, and SNP–SNP interaction. In addition, we conducted a functional assay to uncover any correlation between RAD51B genotypes and their corresponding mRNA expression levels in cultured primary human fetal retinal pigment epithelium (hfRPE).

Materials and methods

Study subjects

This research followed the tenets of the Declaration of Helsinki and the study protocol was approved by the Institutional Review Board of the National Eye Institute, USA and the Zhongshan Ophthalmic Center (ZOC), China. All participants gave informed consent. The study group demographics are summarized in Table 1. Methods for participant selection and clinical evaluation of subjects have been previously defined and are briefly described below (Age-Related Eye Disease Study Research 2000; Clemons et al. 2005b; Davis et al. 2005).

Table 1.

Demographic information of participants in the two sample sets used in this study

Sample set Cohort N Age (mean ± SD) Ever smokers N (%) Female N (%) Advanced AMD N (%) GA N (%) nAMD N (%)
NEI Control 177 73.9 ± 10.8 24 (15.0) 92 (57.5) 0 0 0
AMD 249 78.8 ± 8.3 130 (52.2) 136 (54.6) 208 (83.5) 46 (18.5) 162 (65.1)
China Control 46 71.7 ± 8.3 27 (58.7) 0 0 0
AMD 117 73.6 ± 9.2 38 (32.5) 117 (100) 24 (20.5) 96 (79.5)
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AMD patients and control subjects from the National Eye Institute (NEI) sample set were evaluated by NEI ophthalmologists (CBM and EYC in author list) using the age-related eye disease study (AREDS) criteria (Age-Related Eye Disease Study Research 2001; Davis et al. 2005). AMD cases were confirmed by independent grading of fundus photographs. All controls presented either no drusen or fewer than five small drusen (<63 μm in diameter) and no signs of other retinal diseases including, but not limited to, high myopia, retinal dystrophies, central serous retinopathy, vein occlusion, diabetic retinopathy, or uveitis. Geographic atrophy was diagnosed when a patient’s retina was affected in a discrete area greater than 175 μm in diameter and was characterized by a sharp border as well as the presence of visible choroidal vessels. Neovascular AMD was defined as serous or hemorrhagic detachment of the sensory retina or RPE, the presence of choriodal neovascular vessels, subretinal or sub-RPE hemorrhages, or subretinal fibrous scarring or the history of treatment for neovascular AMD. The patients and controls in the NEI cohort were all self-identified as Caucasian and non-Hispanic and reside in the local area. The recruited controls were all older than 50 years of age. Smoking status was simply recorded as nonsmoker, current smoker or past smoker. Considering the long-term effect of smoking on AMD, we combined “current smoker” and “past smoker” into one “ever smoker” status.

The ZOC sample set was collected from a hospital-based study. The enrollment of cases and controls followed the criteria described above with race limited to Han Chinese.

RAD51B (refseq NG_023267) SNP selection and genotyping

We selected rs8017304 A>G because of its reported association with AMD. Six additional tag-SNPs across Rad51b were then selected using SNPinfo Web server (http://snpinfo.niehs.nih.gov/) by searching its alien gene name RAD51L1 in default settings, e.g., minor allele frequency cut-off to 0.01, R2 linkage disequilibrium (LD) larger than 0.8 and maximum distance to calculate LD as 250,000 bp. SNP genotyping was performed using the Taqman SNP Genotyping Assay from ABI (Applied Biosystems, Foster City, CA). All the assays were inventory stocks. The characteristics of the selected SNPs and their assay information are listed in Table 2.

Table 2.

Characteristics of selected RAD51B SNPs and their assay information

RSID Chromosome position Type Taqman SNP assay ID MAF CEU/CHB
rs34583846 G>A 67360038 Missense (Val>Met) at AA 9 C__63254941_10 NS
rs33929366 T>G 67423666 Missense (Ser>Ala) at AA 250 C__25967258_20 NS
rs3784099 G>A 67819680 Intron between exons 6 and 7 C__27481679_10 NS
rs17105278 T>C 67798232 Intron between exons 6 and 7 C__29282952_10 0.325/0.078
rs8017304 A>G 67854830 Intron between exons 7 and 8 C__31753961_20 0.371
rs12878858 A>G 67856550 Intron between exons 7 and 8 C__31753963_10 0.373
rs4902566 C>T 67863307 Intron between exons 8 and 9 C__34019695_20 0.277
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CEU Utah residents with ancestry from northern and western Europe, CHB Han Chinese in Beijing, China

Transcript/mRNA expression of RAD51B in hfRPE

Fetal eyes were obtained from Advanced Bioscience Resources (Alameda, CA) at 16 to 18 weeks of gestation. The separation and culture of primary hfRPE was reported previously (Maminishkis et al. 2006). This study included hfRPE from 28 donors. Genomic DNA was extracted from the hfRPE of each donor to identify genotypes at rs17105278 T>C and rs4902566 C>T. Total RNA from hfRPE was extracted using Trizol (Invitrogen, Carlsbad, CA). cDNA was synthesized by reverse transcriptase (Taqman reverse transcription reagents, Applied Biosystems). The primers/probes for RAD51B spanning exons 4–5 (assay ID: Hs00172522_m1) and exons 9–10 (assay ID: Hs01568767_m1) were purchased from Life Technologies as inventoried TaqMan gene expression reagents. The primers/probes for RAD51B spanning exons 8–9, in which rs17025278 is located, were custom-designed with forward primer 5′-AGGCATCCTCCTTGAAGTATTTGG-3′, reverse primer 5′-GCTCCACTCAGATGGGTTGTAATC-3′, and probe 5′-CTGGGATTGAAAACTC-3′. Relative quantitative real-time polymerase chain reaction (qRT-PCR) was performed to determine the fold changes by the 2−ΔΔCt analysis method using actin as an endogenous control. The relative expression of RAD51B in rs17105278 T>C major allele homozygotes, heterozygotes and minor allele homozygotes (TT, TC, and CC, respectively) were compared. Each sample was analyzed in duplicate.

Statistics and bioinformatics analysis

The power to detect effects of SNP variants on AMD was calculated using binomial distribution. Association analyses were performed using SNP & Variation Suite (SVS) software (version 7.4.1; HelixTree Genetics Analysis Software, Golden Helix, Bozeman, MT, htpp://www.goldenhelix.com/SNP_Variation/HelixTree/index.html). SNP allelic association, genotypic association under a dominant model (carriers of at least one minor allele versus those with two major alleles) or under a recessive model (carriers of two minor alleles versus those with at least one major allele), and SNP–SNP interactions were analyzed using logistic regression in which case-versus-control status was designated as the outcome and was adjusted for age, gender, and smoking status. P values, odds ratio (OR) of association, and Hardy–Weinberg equilibrium (HWE) P value were computed using a Chi-square test. Multiple testing was corrected by false discovery rate (FDR; Dudbridge and Koeleman 2004).

The means for RAD51B mRNA expression were compared using Student’s t test. Statistical significance was set at P < 0.05.

SNPinfo Web server (http://snpinfo.niehs.nih.gov/) was used to make functional predictions such as altered transcriptional binding sites (TFBS), splicing sites, and the involvement of microRNA sequences. The LD analysis on SNPs of interest was conducted using SVS software by adopting public data from the “Affy 6.0 HapMap 1258 Samples Genotypes.”

Results

Statistical power analysis

We used published rs8017304 A>G-AMD association data as a reference for power analysis (Fritsche et al. 2013). Based on a predefined two-sided alpha of 0.05, there was greater than 95 % power to detect a ±6 % departure from the rs8017304 A>G allele frequency of 38.0 % in the NEI sample set. Study power remained greater than 80 % after stratifying the cases to neovascular AMD in the NEI set. The ZOC set was underpowered but was only used for supplementary replication purposes.

rs17105278 T>C and rs4902566 C>T are associated with AMD

The seven SNPs across RAD51B were genotyped and produced call rates larger than 98.8 % for each SNP in the NEI sample set. Two of the seven SNPs (rs34583846 G>A and rs33929366 T>G) were in the coding regions of RAD51B (Table 2). Because the genotype results of these two SNPs in the coding regions were all wild-type in the NEI sample set, we excluded them from the statistical analysis. The allelic associations of the remaining five SNPs, located in RAD51B noncoding regions, in the NEI sample set is shown in Table 3. RAD51B rs17105278 T>C, rs4902566 C>T and the previously reported rs8017304 A>G reached statistical significance for AMD association at initial analysis (P < 0.05). rs8017304 A>G showed a moderate association with AMD, meeting a P < 0.05 criterion for significance before any adjustment (Table 3, P = 0.0432, OR = 0.74). rs17105278 T>C showed an extremely significant association with AMD (Table 3, P = 3.63 × 10−4, OR = 1.67) as well as rs4902566 C>T (Table 3, P = 8.11 × 10−7, OR = 2.12).

Table 3.

Allele distribution of RAD51B SNPs and their association with AMD in the NEI sample set

SNP Control AMD P OR (95 % CI) FDR HWE P of control
Minor/major (%) Call rate (%) Minor/major (%) Call rate (%)
rs17105278 T>C 114/232 (32.9) 97.7 225/273 (45.2) 100 3.63 × 10−4 1.67 (1.26–2.23) 7.3 × 10−4 0.445
rs3784099 G>A 114/238 (32.4) 99.4 132/364 (26.6) 99.6 0.0679 0.75 (0.56–1.02) 0.077 0.874
rs8017304 A>G 133/217 (38.0) 98.9 154/338 (31.3) 98.8 0.0432 0.74 (0.56–0.99) 0.058 0.579
rs12878858 A>G 128/226 (36.2) 100 156/340 (31.5) 99.6 0.1515 0.81 (0.61–1.08) 0.151 0.352
rs4902566 C>T 86/268 (24.3) 100 201/295 (40.5) 99.6 8.11 × 10−7 2.12 (1.57–2.87) 3.2 × 10−6 0.821
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We did more extensive analysis on the influence of rs17105278 T>C and rs4902566 C>T because of their high degree of association with AMD. Adjusting for confounding factors including smoking, age, and gender, rs17105278 T>C adhered to the dominant model (Table 4, P/Pa = 9.53 × 10−3, OR = 1.69) and rs4902566 C>T also showed an association with AMD under the dominant model (Table 4, P/Pa = 5.84 × 10−4, OR = 1.98). Recessive model analysis maintained a significant rs17105278 T>C association with AMD (Table 4, P/Pa = 2.16 × 10−3, OR = 2.30) as well as a rs4902566 C>T association with AMD (Table 4, P/Pa = 1.12 × 10−5, OR = 4.20). The rs17105278 T>C association with AMD under the dominant and recessive models remained significant after multiple testing correction (FDR = 0.02 and 4.32 × 10−3, respectively) as well as the rs4902566 C>T association with AMD (FDR = 1.56 × 10−3 and 8.93 × 10−5, respectively). The ZOC sample set was used to replicate results for the rs17105278 T>C association with AMD. Although P < 0.05 was not reached, the data was consistent in terms of the OR indicated by the NEI sample set and suggested that rs17105278 T>C minor allele could possibly be a risk allele for AMD in a non-Caucasian population (Table 5, P = 0.11, OR = 3.19). In both the NEI and ZOC sample sets, the allelic frequencies of all SNPs genotyped in their control groups were within the boundaries of HWE (P > 0.05). We attempted phenotypic stratification of the NEI sample set and did not observe any departure in the association odds of geographic atrophy or neovascular AMD subgroups from AMD as whole in the carriers of rs17105278 T>C or rs4902566 C>T (data not shown).

Table 4.

Model analysis of rs17105278 T>C and rs4902566 C>T genotypes in the NEI sample set

Genotype Control AMD P/P a OR (95 % CI) FDR P
N (%)
Dominant model rs17105278 T>C TT 80 (46.2) 84 (33.7) 9.53 × 10−3 1.69 (1.135–2.516) 0.02
TC+CC 93 (53.8) 165 (66.3)
rs4902566 C>T CC 102 (57.6) 101 (40.7) 5.84 × 10−4 1.98 (1.339–2.927) 1.56 × 10−3
CT+TT 75 (42.4) 147 (59.3)
Recessive model rs17105278 T>C TT+TC 152 (87.9) 189 (75.9) 2.16 × 10−3 2.30 (1.35–3.95) 4.32 × 10−3
CC 21 (12.1) 60 (24.1)
rs4902566 C>T CC+CT 166 (93.8) 194 (78.2) 1.12 × 10−5 4.20 (2.13–8.26) 8.93 × 10−5
TT 11 (6.2) 54 (21.8)
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P values are adjusted for age, gender, and smoking status (P a); FDR false discovery rate to adjust for multiple testing

Table 5.

Allele and genotype distribution of RAD51B rs17105278 T>C and association with AMD in the China sample set

SNP Control AMD P values OR (95 % CI) HWE P of Control
Minor/major Minor/major (%)
rs17105278 T>C
C/T 2/82 (2.4) 14/180 (7.2) 0.11 3.19 (0.71–14.36) 0.445
rs17105278 T>C
(CT + CC)/TT 2/40 (4.8) 14/83 (14.4) 0.10 3.37 (0.73–15.56)
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The call rate of the China set is 85.3 %

Interaction between rs17105278 T>C and rs4902566 C>T in AMD susceptibility

Categorizing the genotypes of these two SNPs in control subjects and AMD cases in the NEI sample set revealed a strong combination effect of minor C allele homozygosity at rs17105278 T>C and minor T allele homozygosity at rs4902566 C>T toward AMD susceptibility (Table 6). Out of 172 individuals, two (1.2 %) in the control group were homozygous carriers of both rs17105278 T>C and rs4902566 C>T minor alleles as compared to 44 out of 246 cases (17.9 %) in the AMD group, demonstrating that individuals homozygous for the two SNPs had substantially increased disease risk compared with all other genotypes (Table 6, OR = 16.97, 95 % CI 4.05–71.10). The odds increased further when compared to individuals homozygous for the wild-type alleles of the two SNPs (Table 6, OR = 19.22, 95 % CI 4.34–80.65). The OR of 19.22 is more than fivefold greater than the product of the OR of the homozygous rs17105278 T>C risk allele multiplied by the OR of the homozygous rs4902566 C>T risk allele (1.69 × 1.98 = 3.35) under the dominant model.

Table 6.

The interaction of rs17105278 T>C and rs4902566 C>T on AMD susceptibility

rs17105278 T>C rs4902566 C>T, N (%)
CC CT TT
Control TT 58 (33.7) 17 (9.8) 5 (2.9)
TC 32 (18.6) 36 (20.9) 3 (1.7)
CC 9 (5.2) 10 (5.8) 2 (1.2)
AMD TT 67 (27.2) 16 (6.5) 1 (0.4)
TC 32 (13.0) 63 (25.6) 9 (3.7)
CC 1 (0.4) 13 (5.3) 44 (17.9)*
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* OR = 16.97 (95 % CI 4.05–71.10), rs17105278 T>C and rs4902566 C>T homozygotes versus all other genotypes; OR = 19.22 (95 % CI 4.34–80.65), rs17105278 T>C and rs4902566 C>T homozygotes versus noncarrier homozygotes

We also attempted SNP–SNP interaction analysis between the RAD51B and well-known AMD SNPs such as CFH, HTRA1, and ARMS2, for which we have data published on our sample set (Tuo et al. 2008; Ross et al. 2007; Chan et al. 2007). The results did not reveal any interactions between rs17105278 T>C or rs4902566 C>T and these previously identified SNPs (data not shown).

rs17105278 T>C homozygous C carriers express lower RAD51B in RPE

We collected hfRPE from 28 donors for our functional study. Because none of the 28 hfRPE donors were homozygous carriers of rs4902566 C>T, we focused on rs17105278 T>C for this analysis. We hypothesized that the SNP, being located in a noncoding region, might possess regulatory function, particularly on adjacent exons. Therefore, using the cultured hfRPE from 28 donors, we measured RAD51B expression in three portions of the transcript, spanning exons 4–5, exons 8–9, and exons 9–10 (rs17025278 is located between exons 8 and 9). The distribution of rs17105278 T>C genotypes among the 28 donors consisted of ten samples homozygous for TT, 15 samples heterozygous for TC, and three samples homozygous for CC. We selected six TTs (all major allele homozygous CC for rs49025266), three TCs (all heterozygous CT for rs4902566), and then three CCs (all heterozygous CT for rs4902566) to compare the relative mRNA expression of RAD51B. We found consistently decreased RAD51B expression in rs17105278 T>C homozygotes (CC) relative to both heterozygotes (TC) and major allele homozygotes (TT) using primers/probes spanning exons 4–5, exons 8–9, and exons 9–10 (Fig. 1a). RAD51B expression corresponding to rs4902566 genotypes is summarized in Fig. 1b.

Fig. 1.

Fig. 1

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a RAD51B mRNA expression in hfRPE as a function of rs17105278 T>C genotype. Error bars indicate SD. *P < 0.05 in comparison with TT or TC group. b RAD51B mRNA expression in hfRPE as a function of rs4902566 C>T genotype

We attempted to uncover a functional role of the noncoding rs17105278 T>C using bioinformatics analysis, but did not find predicted function in TFBS, splicing sites, or microRNA.

Moderate LD exists between rs4902566 C>T and rs8017304 A>G

We searched our SNPs of interest in “Affymetrix 6.0 HapMap 1258 Samples Genotypes,” a database which we found to contain rs8017304 A>G and rs4902566 C>T, but not rs17105278 T>C. We selected rs8017304 A>G and rs4902566 C>T in addition to two nearby SNPs (rs8006081 T>C and rs963917 T>C) as references for LD analysis. The rs8017304 A>G and rs4902566 C>T SNPs are 8 kb apart with 0.52 of R2 and 0.99 of D′, indicating a moderate LD relationship (Fig. 2).

Fig. 2.

Fig. 2

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LD analysis of four SNPs across RAD51B

Discussion

Growing evidence of the involvement of oxidative stress and DNA repair in AMD pathogenesis alongside recent report of SNP rs8017304 A>G association with AMD by the International AMD Genomics Consortium led us to analyze the influence of RAD51B on AMD in the well-established NEI sample set (Tuo et al. 2006, 2008; Ross et al. 2007; Ardeljan et al. 2013). Looking at allelic frequencies in the reported rs8017304 A>G and six additional tag-SNPs across the RAD51B gene, we found significant AMD-association with the reported rs8017304 A>G and two novel RAD51B SNPs, rs17105278 T>C and rs4902566 C>T. Our data indicate substantial risk association with the minor alleles of rs17105278 T>C and rs4902566 C>T under the dominant model. In addition to the independent risk association identified with either the rs17105278 T>C or the rs4902566 C>T minor alleles, the combined risk is strikingly amplified; the OR of individuals homozygous for both rs17105278 T>C and rs4902566 C>T is nearly 20 times greater than the OR of individuals not carrying any risk alleles of the two SNPs. rs17105278 T>C and rs4902566 C>T are located 65 kb apart, suggesting an epistatic relationship between the two SNPs.

The novel RAD51B SNP AMD associations reported here appear to be comparable to several well-established susceptibility loci including CFH, HTRA1, and ARMS2 that have been analyzed and reported within this sample set. Notably, rs17105278 T>C and rs4902566 C>T, in combination, have a multifold greater odds risk than those previously identified in this sample set and in other studies with reasonable sample size (Table 7). Additionally, our replication of rs17105278 T>C risk association in the ZOC sample set suggests that the association might cross races and exists in both the Caucasian/European ancestry population and the Chinese population.

Table 7.

Reported susceptibility loci associated with AMD

Cohort Gene RSID Odds ratio (OR) Probability References
NEI sample set RAD51B rs17105278 T>C 1.69 (1.14–2.52) 9.53 × 10−3 Current study
rs4902566 C>T 1.98 (1.34–2.93) 5.84 × 10−4
CFH rs380390 G>C 2.74 (2.18–3.44) <0.0001 (Tuo et al. 2006)
Htra1 rs11200638 G>A 2.12 (1.37–3.29) 7.9 × 10−4 (Tuo et al. 2008)
ARMS2 rs10490924 T>G 2.61 (1.89–3.61) 1.42 × 10−9 (Ross et al. 2007)*
TIMP3/SYN3 rs9621532 C>A 0.32 (0.11–0.89) 0.02 (Ardeljan et al. 2013)
Columbia Univ. (European descent) CFH rs1061170 T>C (Y402H) 2.25 (1.79–2.75) 1.64 × 10−13 (Hageman et al. 2005)
Moran Eye Center, Univ. of Utah Htra1 rs11200638 G>A 1.86 (1.35–2.56) 1 × 10−9 (Yang et al. 2006)
Kellogg Eye Center, Univ. of Michigan ARMS2 rs10490924 T>G 2.66  5.3 × 10−30 (Kanda et al. 2007)
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* Includes subset of age-related eye diseases study (AREDS) cohort

Using RAD51B primers/probes spanning exons 4–5, 8–9, and 9–10, we demonstrated rs17105278 T>C influence on RAD51B expression. The results show that rs17105278 T>C, located between exons 8 and 9, does not change exon expression locally but rather has an overall global effect on RAD51B expression. We attempted a bioinformatics analysis to uncover potential functional sites altered; however, no connotation was found to be associated with TFBS, splicing sites, or microRNA. Further study will be required to understand exactly how rs17105278 T>C influences RAD51B transcript expression.

Interestingly, our study identified novel SNP associations in a gene recently linked to AMD susceptibility (Fritsche et al. 2013). Searching for the three SNPs that reached significance in the NEI sample set in “Affymetrix 6.0 HapMap 1258 Samples Genotypes” (available in the data sets installed in HelixTree Genetics Analysis Software), we found that rs8017304 A>G and rs4902566 C>T were present, but not rs17105278 T>C. While the potential outcomes produced by shared data for meta-analysis are substantial, differences in platforms can pose considerable limitations on the detectability of associations. The absence of rs17105278 T>C from Affymetrix HapMap may account for the discrepancy in our findings against those of the Consortium, while rs4902556, present in Affymetrix 6.0, may have been missed because a considerable number of samples were analyzed using Illumina or other platforms (Fritsche et al. 2013).

The link between DNA repair and AMD is currently understood through the established role of oxidative stress in AMD pathophysiology. Elevated reactive oxygen species levels in the retina, particularly in the macula, as well the involvement of oxidative stress in aging (Beatty et al. 2000), suggest a critical role for efficient and robust DNA repair in macular environment (Blasiak et al. 2012). Associations with AMD in DNA repair genes, such as XRCC1, XPD, ERCC6, hOGG, MUTYH, SMUG1, and UNG, have been identified (Blasiak et al. 2012, 2013), implicating the various mechanisms of DNA repair, but to date, few studies have been able to demonstrate reduced DNA repair efficacy as a direct result of polymorphic variation.

RAD51B has been confirmed to play a role in the DNA repair of double-strand breaks through the characterized RAD51 central recombinase. Impairment of RAD51B has been linked to lower homologous recombinational repair frequency and poor response to abiotic stress (Yao et al. 2013). The expression of the RAD1 gene, the product of which plays a crucial role in the repair of DNA double-strand breaks by homologous recombination, was shown to be downregulated in response to oxidative stimulus in AMD patients (Strunnikova et al. 2005). The coordinated involvement of Rad51 and Rad1 in recombinational repair of DNA damage implicates the potential role of RAD51-dependent DNA repair in circumstances of elevated oxidative reaction species (Keller-Seitz et al. 2004).

In summary, our data indicate that minor allele carriers of rs17105278 T>C and rs4902566 C>T carriers are at a higher risk of developing AMD and that the risk for rs17105278 T>C carriers may be due to decreased transcription of RAD51B. This study also provided further evidence of DNA damage/DNA repair mechanism in AMD pathogenesis.

Acknowledgments

The authors thank Angel Garced, R.N., Katherine Shimel, R.N., and Sun–min Ro, R.N. for their assistance in contacting study participants and collecting blood samples; Arvydas Maminishkis, Ph.D. for providing fhRPE cells. We also thank the study participants and their families for enrolling in this study. This research was supported by “The Intramural Research Program of the National Eye Institute, NIH,” the “Specialized Research Foundation for Doctoral Program of Higher Education in China (20120171110086),” and the “Science and Technology Planning Project of Guangzhou City (11C22060787) of China.”

Conflict of interest

None

References

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