Systems biology-based analysis implicates a novel role for vitamin D metabolism in the pathogenesis of age-related macular degeneration
- Margaux A. Morrison1, 2,
- Alexandra C. Silveira1,
- Nancy Huynh1,
- Gyungah Jun3,
- Silvia E. Smith2,
- Fani Zacharaki4,
- Hajime Sato1,
- Stephanie Loomis1,
- Michael T. Andreoli1,
- Scott M. Adams1,
- Monte J. Radeke5,
- Austin S. Jelcick6,
- Yang Yuan6,
- Aristoteles N. Tsiloulis4,
- Dimitrios Z Chatzoulis4,
- Giuliana Silvestri7,
- Maria G. Kotoula4,
- Evangelia E. Tsironi4,
- Bruce W. Hollis8,
- Rui Chen9,
- Neena B. Haider6,
- Joan W. Miller10,
- Lindsay A. Farrer11,
- Gregory S. Hageman2,
- Ivana K. Kim10,
- Debra A. Schaumberg12 and
- Margaret M. DeAngelis1, 2Email author
© Henry Stewart Publications 2011
Received: 22 June 2011
Accepted: 22 June 2011
Published: 1 October 2011
Vitamin D has been shown to have anti-angiogenic properties and to play a protective role in several types of cancer, including breast, prostate and cutaneous melanoma. Similarly, vitamin D levels have been shown to be protective for risk of a number of conditions, including cardiovascular disease and chronic kidney disease, as well as numerous autoimmune disorders such as multiple sclerosis, inflammatory bowel diseases and type 1 diabetes mellitus. A study performed by Parekh et al. was the first to suggest a role for vitamin D in age-related macular degeneration (AMD) and showed a correlation between reduced serum vitamin D levels and risk for early AMD. Based on this study and the protective role of vitamin D in diseases with similar pathophysiology to AMD, we examined the role of vitamin D in a family-based cohort of 481 sibling pairs. Using extremely phenotypically discordant sibling pairs, initially we evaluated the association of neovascular AMD and vitamin D/sunlight-related epidemiological factors. After controlling for established AMD risk factors, including polymorphisms of the genes encoding complement factor H (CFH) and age-related maculopathy susceptibility 2/HtrA serine peptidase (ARMS2/HTRA1), and smoking history, we found that ultraviolet irradiance was protective for the development of neovascular AMD (p = 0.001). Although evaluation of serum vitamin D levels (25-hydroxyvitamin D [25(OH)D]) was higher in unaffected individuals than in their affected siblings, this finding did not reach statistical significance.
Based on the relationship between ultraviolet irradiance and vitamin D production, we employed a candidate gene approach for evaluating common variation in key vitamin D pathway genes (the genes encoding the vitamin D receptor [VDR]; cytochrome P450, family 27, subfamily B, polypeptide 1 [CYP27B1]; cytochrome P450, family 24, subfamily A, polypeptide 1 [CYP24A1]; and CYP27A1) in this same family-based cohort. Initial findings were then validated and replicated in the extended family cohort, an unrelated case-control cohort from central Greece and a prospective nested case-control population from the Nurse's Health Study and Health Professionals Follow-Up Studies, which included patients with all subtypes of AMD for a total of 2,528 individuals. Single point variants in CYP24A1 (the gene encoding the catabolising enzyme of the vitamin D pathway) were demonstrated to influence AMD risk after controlling for smoking history, sex and age in all populations, both separately and, more importantly, in a meta-analysis. This is the first report demonstrating a genetic association between vitamin D metabolism and AMD risk. These findings were also supplemented with expression data from human donor eyes and human retinal cell lines. These data not only extend previous biological studies in the AMD field, but further emphasise common antecedents between several disorders with an inflammatory/immunogenic component such as cardiovascular disease, cancer and AMD.
Several biological processes/cellular pathways involved in conditions such as cancer, cardiovascular disease and type 1 diabetes have also been implicated in the pathophysiology of the neovascular form of age-related macular degeneration (AMD). AMD, a disease characterised by the loss of ability to drive, recognise faces and read, is the leading cause of blindness in the US elderly population. Most prominent among these shared disease-associated processes is angiogenesis, the defining hallmark of neovascular AMD [1–3]. Additionally, immune cell involvement, inflammation and oxidative stress have all been associated with these diseases [2, 4–19].
Vitamin D is a circulating steroid hormone which is thought to be protective in a variety of cancers, including breast, prostate and cutaneous mela-noma [20–23]. Although classically associated with bone mineralisation and the regulation of Ca2+ and phosphorus (Pi), vitamin D has been demonstrated to have anti-angiogenic and anti-inflammatory effects [25–28]. In addition, it has been shown to play a role in cellular proliferation, differentiation and apoptosis, as well as protecting cell proteins and membranes from oxidative damage [20, 29, 30].
Vitamin D synthesis and metabolism begins upon cutaneous ultraviolet (UV) B exposure, resulting in the conversion of 7-dehydrocholesterol to vitamin D. In addition to UVB, sources of vitamin D include diet and supplements . In the liver, cytochrome P450, family 27, subfamily B, polypeptide 1 (CYP27B1) catalyses the conversion of vitamin D to its pro-hormonal major circulating form, 25-hydroxyvitamin D (25(OH)D). CYP27A1 then converts 25(OH)D to the biologically active form of vitamin D [1,25(OH)2D3] . The biologically active form of vitamin D binds to the nuclear hormone receptor vitamin D receptor gene (VDR). VDR heterodimerises with retinoid X receptor alpha to regulate transcription by binding vitamin D response elements in gene promoters and recruiting transcriptional co-factors . The active form of vitamin D is eventually catabolised after processing in the kidney or liver by cytochrome P450, family 24, subfamily A, polypeptide 1 (CYP24A1) . Parekh et al. demonstrated an inverse relationship between serum vitamin D levels and early AMD but could not extrapolate the findings to advanced AMD, potentially owing to the small number of patients studied in this category (n = 10) . Based on this association and the involvement of vitamin D in processes underlying several diseases with an inflammatory or immune component, we hypothesised that vitamin D might play a role in AMD pathophysiology and, in particular, neovascular AMD. A special focus was placed on neovascular AMD, as it is the advanced form of AMD that accounts for the majority of cases of severe vision loss and it is necessarily preceded by an early form of the disease. To evaluate comprehensively the contribution of vitamin D and vitamin D pathways to neovascular AMD and, moreover, all subtypes of AMD, we conducted epidemiological, biological and genetic studies initially on a family-based cohort. This was followed by replication and validation of significant genetic findings in an unrelated case-control cohort from central Greece, as well as two prospective cohorts comprising AMD cases and controls from the Nurse's Health Study (NHS) and Health Professionals Follow-Up Studies (HPFS).
An epidemiological study was conducted to determine the association of dietary supplements, UV light and sun-related variables, including iris colour, self-reported sun exposure and skin cancer history, with neovascular AMD. Serum levels of vitamin D were also examined to assess further the contribution of vitamin D levels to advanced AMD risk. To assess if genetic variation within vitamin D metabolism genes might be associated with neovascular AMD, tagging single nucleotide polymorphisms (SNPs) within the vitamin D pathway genes CYP27B1, CYP27A1, CYP24A1 and VDR were genotyped to find significantly associated AMD risk variants and haplotypes within a discovery cohort comprising extremely discordant sibling pairs --that is, where one sibling, the index patient, has the neovascular form of AMD and the other sibling has no signs of AMD and is older than 65 years of age. Moreover, CYP27B1, CYP27A1, CYP24A1 and VDR were chosen because they are vitamin D pathway genes that are located in genomic regions previously implicated in AMD disease susceptibility [35, 36]. Based on findings of genetic association within this extremely discordant sibpair discovery cohort, we replicated and validated findings in our other cohorts as described below.
Materials and methods
Family-based patient population
The protocol was reviewed and approved by the Institutional Review Boards at the Massachusetts Eye and Ear Infirmary (MEEI), Boston, MA, USA, and conformed to the tenets of the Declaration of Helsinki. Eligible patients were enrolled in this study after giving informed consent and before completing a standardised questionnaire and donating 10-50 ml of venous blood.
Details of the recruitment of the sibling pairs, comprising mainly individuals of European ancestry, are described in detail elsewhere [37, 38]. Briefly, the disease status of every participant was confirmed by at least two investigators by evaluation of fundus photographs or fluorescein angiograms, except when one of the investigators directly examined an unaffected sibling during a home visit (n = 4 cases).
All index patients were approximately 50 years of age or older and had the neovascular form of AMD in at least one eye, defined by subretinal haemorrhage, fibrosis or fluorescein angiographic presence of neovascularisation. Patients whose only exudative finding was a retinal pigment epithelium (RPE) detachment were excluded because this finding may not represent definite neovascular AMD. Patients with signs of pathological myopia, presumed ocular histoplasmosis syndrome, angioid streaks, choroidal rupture, any hereditary retinal diseases other than AMD, and previous laser treatment due to retinal conditions other than AMD were also excluded.
Patients with an early/intermediate form of dry AMD were classified according to the Age-Related Eye Disease Study (AREDS)as either category 2 (small [< 63 μm] drusen with total area ≥ 125 μm, or at least one intermediate druse [≥63 and < 125 μm], or presence of pigment abnormalities); or AREDS category 3 (intermediate drusen comprising total area ≥360 μm in the presence of soft drusen, or ≥656 μm in the absence of soft drusen, or at least one large druse [≥125 μm], or non-central geographical atrophy), as previously described for this cohort .
The unaffected siblings had normal maculae and were aged at least 65 years or older at the time at which the index patient was first diagnosed with neovascular AMD. These criteria were based on published epidemiological studies that indicated that elderly individuals with such maculae rarely go on to develop neovascular AMD during a ten-year follow-up . Unaffected maculae fulfilled the following criteria: 0-5 small drusen (all less than 63 μm in diameter), no pigment abnormalities, no geographical atrophy and no neovascularisation (as defined previously; AMD 'category 1 or less' on the AREDS scale).
Massachusetts Eye and Ear Infirmary Extremely Discordant Sibling Pair Discovery Cohort (n= 270 individuals from 135 families)
Neovascular subjects (n = 135)
Control subjects (n = 135)
Massachusetts Eye and Ear Infirmary Cohort Extended Sibling Pair Cohort ( n = 657 individuals from 284 families)
Neovascular subjects (n = 353)
Dry subjects (n = 106)
Control subjects (n = 198)
Central Greece cohort ( n = 344 individuals)
Neovascular subjects (n = 139)
Dry subjects (n = 84)
Control subjects (n = 121)
Prospective-based cohort derived from the Nurses' Health Study/Health Professionals Study ( n = 1,527 individuals)
Neovascular subjects (n = 164)
Dry subjects (n = 293)
Control subjects (n = 1070)
A second replication cohort was a prospective, nested case-control sample of participants from two cohorts: the NHS and HPFS. Details of these studies and ascertainment of AMD cases have been previously described [40, 42, 43]. This combined NHS/HPFS AMD cohort contained 1,527 individuals, including 293 with the early or dry form of AMD (AREDS category 2 and 3) and associated vision loss to 20/30 or worse, 164 with the neovascular form of the disease (AREDS category 4) and 1,070 age-matched controls who remained free of AMD during the follow-up period (Table S1 (Table 5)).
Data were obtained by conducting telephone or in-person interviews to complete a standardised questionnaire. Data included iris colour as blue (light), green (medium) or brown (dark). The regular use of multivitamins or vitamin D supplements was ascertained if supplements were taken at least twice a week for at least six months prior to the index patient's diagnosis of AMD. Smoking data, as measured in pack years (as described previously), was available for every participant. Briefly, a smoker was defined as smoking ≥10 pack-years and a non-smoker as smoking less than 10 pack-years in their lifetime.
To quantify sunlight exposure, average UV radiation (UVR) exposure was calculated for the location at which each subject lived for the majority of his or her lifetime on 133 sibpairs, for a total of 276 individuals. Latitude, longitude and elevation for each city and state were determined using the website http://www.topozone.com. Using the calculated longitude (range, -123.03-63.19), latitude (range, 25.99-46.49) and elevation (range, 0.001-1.598 km) for each participant's city and state, UVR exposure was obtained using the tropospheric UV-visible (TUV) calculator found at the website http://cprm.acd.ucar.edu/Models/TUV/Interactive_TUV/, using input option 1: latitude and longitude, and output 2: irradiance, weighted. The TUV calculator uses a model that corrects for the effects of cloud cover, based on data collected from November 1978 to June 2000, as described on the website. UVR index and UVA and UVB irradiances were reported in watts/m2 for noon on the 15th of each month for the year 2006 in order to assess UV exposure throughout the year. Additionally, UV measures were taken on two specific dates: summer solstice and winter solstice, as these two days may have different UV exposures, being the longest and shortest days of the year, respectively. Yearly UV exposure was calculated as the average of all the recorded exposures.
To validate our findings of association between UVexposure and AMD, we obtained additional UV data on our family-based cohort from a separate source. The monthly average UV index was determined using the website for the US Environmental Protection Agency's SunWise Program http://www.epa.gov/sunwise1/doc/uvimonth.html. The website reports average monthly exposure in terms of UV index, based on data from the years 1994-2008. Yearly exposure was calculated by averaging monthly exposures obtained for the location at which each subject lived for the majority of their lifetime.
Self-reported sun exposure was also obtained, to account for cumulative sun exposure. Self-reported sun exposure was recorded for both current and --separately -- 15 years ago, as one of four categories: (i) spends most of the day outside; (ii) spends most free time outside; (iii) occasionally spends a day in the sun; or (iv) almost never outside.
Measurement of circulating vitamin D
For the collection of sera, non-fasting blood was drawn from 50 sibling pairs (100 subjects) in the discovery cohort of extremely discordant sibling pairs. Blood was collected into BD Vacutainer SST tubes (BD, Franklin Lakes, NJ, USA) and samples were centrifuged at room temperature (approximately 20°C) at 1500 g for 10 minutes. Serum was immediately drawn off and stored at -80°C in 2.0 ml cryogenic tubes (Corning Life Sciences, Lowell, MA, USA).
Levels of circulating 25(OH)D were measured in ng/ml, according to previously described methods . Patients were classified as deficient if serum 25(OH)D was less than 20 ng/ml; as insufficient if levels were between 21 and 29 ng/ml; and as sufficient if levels were between 30 and 150 ng/ml . Serum 25(OH)D levels greater than 150 ng/ml were classified as toxic.
RPE-choroid expression profile assessment
Whole-transcriptome expression profiles were available from 126 RPE-choroid and 118 retina punches (each 6 mm in diameter) collected from the macular and extramacular regions of eyes derived from 66 human donors. These eyes were selected from a well-characterised repository derived from 3,903 donors and collected by G.S.H. over a 20-year period at the University of Iowa and St Louis University. Medical and ophthalmic histories, a family questionnaire and blood and sera were obtained from the majority of donors. Gross pathological features, as well as the corresponding fundus photographs and angiograms (when available) of all eyes in this repository were read and classified by retinal specialists. Fundi and/or posterior poles were graded using a slightly modified version of two standardised classification systems, as published previously [4, 5, 45–47]. The ages of the donors ranged from nine to 101 years; approximately 50 per cent had documented clinical histories of AMD. RNA expression profiles were assessed using two-colour, 44 K Agilent whole-genome in situ oligonucleotide microarray analysis and a universal reference RNA experimental design. The universal reference RNA consisted of a 1:1 pool of RPE-choroid and retinal RNA generated from donors with and without AMD. After correcting for dye effects using Lowess normalisation, the net intensity values were determined and expressed as a percentage of the total array intensity. The ratios of the experimental and reference RNA signals were then calculated and the normalised percentage total of each experimental value was calculated by multiplication, using the geometric mean of all determinations of each probe's reference RNA value. For those probes with replicates in the array, the average values were determined. Inter-array differences were further corrected by quantile normalisation and probes that did not have net intensity values greater than six times the standard deviation of the background in at least 5 per cent of the samples were omitted. This resulted in a final dataset comprising 28,127 unique probes. Expression of the vitamin D pathway-associated genes VDR, CYP27A1, CYP27B1 and CYP24A1 was examined.
Investigation of vitamin D in human retinal cells
To investigate vitamin D signalling in retinal cells, vitamin D was applied to retinoblastoma cells as a first iteration. Expression levels of mRNA were compared between untreated and treated cells by quantitative real-time polymerase chain reaction (qRT-PCR) analysis. Weri-RB1 (American Type Culture Collection [ATCC] catalogue number HTB 169) and Y79 (ATCC catalogue number HTB 18) were utilised for cell culture and subsequent treatment with vitamin D3. Cells were cultured in accordance with the manufacturer's specification/requirements. Cells were treated with 10 μM Vitamin D3 (final concentration) for 1 hour, 6 hours, 12 hours, 24 hours or 48 hours. Following the allotted treatment time, cells were then harvested. RNA isolated from these cells was used for qRT-PCR assays. For each gene tested, three technical replicates were used, with 1 μl of cDNA being used in each well, with 5 μl of SYBR® Green master mix (Invitrogen Corporation Carlsbad, CA, USA), 3 μl dH20 and 1 μl of a forward/reverse mix of primers for a final primer concentration of 1 μM. The final reaction volume for each sample was 10 μl. Samples were run using an ABI 9600 platform (Life Technologies Corp, Carlsbad, CA, USA), for a total of 40 cycles, with readings being taken every cycle. Triplicates were averaged and the delta-Ct, compared with β-actin, was determined for each gene. Each triplicate reaction was performed for three separate RNA samples. Standard deviation was calculated for each dataset. Comparisons between time points and controls were made for fold-change estimation and relative expression, using the following formula: 1000/2Delta-CtBactin-Delta-Cttestgene.
Genomic location of SNPs†
c.990 + 189 G > A
c.990 + 222_223ins99
chr 20: 52770439
Multiplex PCR assays were designed using Sequenom SpectroDESIGNER software (version 126.96.36.199) by inputting sequence containing the SNP site and 100 base pairs (bp) of flanking sequence on either side of the SNP. Briefly, 10 ng of genomic DNA was amplified in a 5 μl reaction containing 1 × HotStar Taq PCR buffer (Qiagen, Valencia, CA, USA), 1.625 mM MgCl2, 500 μl each dNTP, 100 nM each PCR primer and 0.5 U HotStar Taq (Qiagen). The reaction was incubated at 94°C for 15 minutes, followed by 45 cycles at 94°C for 20 seconds, 56°C for 30 seconds and 72°C for 1 minute, followed by another 3 minutes at 72°C. Excess dNTPs were then removed from the reaction mixture by incubation with 0.3 U shrimp alkaline phosphatase (USB Corporation, Cleveland, OH, USA) at 37°C for 40 minutes, followed by 5 minutes at 85°C to deactivate the enzyme. Single primer extension over the SNP was carried out in a final concentration of between 0.625 μM and 1.5 μM for each extension primer (depending on the mass of the probe), iPLEX termination mix (Sequenom) and 1.35 U iPLEX enzyme (Sequenom) and cycled using a two-step 200 short cycles programme; 94°C for 30 seconds, followed by 40 cycles at 94°C for 5 seconds, five cycles at 52°C for 5 seconds, 80°C for 5 seconds and then 72°C for 3 minutes. The reaction was then desalted by the addition of 6 mg cation exchange resin, followed by mixing and centrifugation to settle the contents of the tube. The extension product was then spotted onto a 384-well SpectroCHIP before being flown in the matrix-assisted laser desorption/ionisation time-of-flight (MALDI-TOF) mass spectrometer. Data were collected, in real time, using SpectroTYPER Analyzer 188.8.131.52, SpectraAQUIRE 184.108.40.206 and SpectroCALLER 220.127.116.11 (Sequenom). Additionally, to ensure data quality, genotypes for each subject were checked manually.
In order to discover novel variation, a combination of direct sequencing and NextGen exon capture were performed. Oligonucleotide primers were selected using the Primer3 program http://primer3.sourceforge.net/ to encompass the SNP and flanking sequences (Table S3). All PCR assays were performed using genomic DNA fragments from 20 ng of leukocyte DNA in a solution of 10× PCR buffer containing 25 mM MgCl2, 0.2 mM each of dATP, dTTP, dGTP and dCTP, and 0.5 units of Taq DNA polymerase (USB). 5 M betaine was added to the reaction mix for rs2414687 (Sigma-Aldrich, St Louis, MO, USA). The temperatures used during the PCR were as follows: 95°C for 5 minutes followed by 35 cycles of 58°C for 30 seconds, 72°C for 30 seconds and 95°C for 30 seconds, with a final annealing at 58°C for 1.5 minutes and extension of 72°C for 5 minutes. For sequencing reactions, PCR products were digested according to the manufacturer's protocol using ExoSAP-IT (USB) and were then subjected to a cycle sequencing reaction using the Big Dye Terminator v3.1 Cycle Sequencing kit (Applied Biosystems, Foster City, CA, USA), according to the manufacturer's protocol. Products were purified using Performa DTR Ultra 96-well plates (Edge Biosystems, Gaithersburg, MD, USA) in order to remove excess dye terminators. NextGen sequencing was performed on exonic regions using methods that have been previously described . For direct sequencing, samples were sequenced on an ABI Prism 3100 DNA sequencer (Applied Biosystems). Electropherograms generated from the ABI Prism 3100 were analysed using the Lasergene DNA and protein analysis software (DNASTAR, Inc., Madison, WI, USA). Electropherograms were read by two independent evaluators without knowledge of the subject's disease status. All patients were sequenced in the forward direction (5'to 3'), unless variants or polymorphisms were identified, in which case confirmation was obtained in some cases by sequencing in the reverse direction.
For the genotyping of the variation discovered by direct and NextGen sequencing, a combination of direct sequencing and Taqman genotyping was employed to supplement data previously acquired by Sequenom or to investigate further variation. Direct sequencing was used to genotype the rs6022993, rs6091828, rs6127119, c.990 +189 G > A, rs6127118 and c.990 +222_223ins99 SNPs using a single set of primers: forward primer TGGACTGAGGTTTTCTTCTGTG and reverse primer GGCACATGAAGTCTCCTCCT. For all other SNPs, Taqman genotyping was employed. Briefly, either TaqMan Pre-Designed SNP Genotyping Assays or Custom TaqMan SNP Genotyping Assays kits (Applied Biosystems) were designed (for listing of SNPs and probes, see Table S4). The 40× stock of the probes were diluted to 16× with 0.5× trisethylenediamine tetra-acetic acid (EDTA) and stored at -20°C. The amplification reaction was carried out in a total reaction volume of 16.25 μl containing 2.5 μl DNA (10 ng), 1.25 μl of 16× probe and 12.5 μl of TaqMan Genotyping Master Mix. Sample DNA was amplified using the following reaction: 1 minute at 60°C, 10 minutes at 95°C and 40 cycles of 15 seconds at 92°C and 1 minute at 60°C. The amplification reaction was carried out on thermo-cyclers and then fluorescence was measured on the ABI 7500 Real-Time PCR System by which the genotypes are analysed with the accompanying software or, in some cases, manually.
Conditional logistic regression (CLR) (SAS 9.0, SAS Institute Inc., Cary, NC, USA) was performed to identify factors associated with neovascular AMD. Potential risk factors of interest, as defined above, were evaluated initially in single factor analysis. Numerical variables such as serum 25(OH)D levels and UV irradiance were tested as continuous variables, while other variables--including iris colour, skin cancer history, self-reported sun exposure and vitamin supplementation--were treated as categorical. In addition to smoking, known genetic risk variants in both CFH and ARMS2/HTRA1 were controlled for [38, 50–52]. For these genetic variables, each SNP (n = 18) was tested under an additive genetic model, along with UV irradiance. The backward selection procedure in conditional logistic regression was used to create the most parsimonious statistical model predictive of neovascular AMD. Specifically, each variable was tested for its association with AMD and entered into the model if its p-value was less than 0.15. Those variables that met these criteria were then kept in the model if the covariate-adjusted p-value was less than 0.1. Using the variables selected in backward selection, a multiple variable model was constructed and tested for its association with neovascular AMD.
SNPs were tested for association using the minor allele, as defined by the allele occurring less frequently in the normal subjects for all cohorts examined. Initial testing of association between the variation and AMD in the extremely discordant sibling pair was done using the family-based association test (FBAT) http://biosun1.harvard.edu/~fbat/fbat.htm and generalised estimating equations (GEE), assuming an additive genetic model in SAS. For validation in the extended sibling cohort, allelic associations were performed in SAS (v9.1) using conditional logistic regression (CLR). For replication in the unrelated case-control cohorts, allelic associations were performed using unconditional logistic regression (UCLR) in SAS. Both analyses were performed assuming an additive genetic model and controlling for covariates (age, sex and smoking). All haplotypic associations were performed initially using FBAT in the discovery cohort and then for validation and replication using the program UNPHASED http://www.mrc-bsu.cam.ac.uk/personal/frank/software/unphased/. For the family data, the model for sibships was used. UNPHASED uses likelihood ratio association analysis, and for sibships uses nuclear families with missing parental genotype data . Covariates--specifically age, sex and smoking history--were controlled for in analysis using residuals, as calculated in R Statistical Software http://www.r-project.org/.
Linkage disequilibrium (LD) (D' and r2) between each of the SNPs was determined using Haploview http://www.broad.mit.edu/mpg/hap-loview/. Deviation from Hardy-Weinberg equilibrium was tested on each SNP using the chi-square test in the unaffected population. Haplotype blocks were constructed in Haploview using the method proposed by Gabriel et al . Haplotype blocks defined by the Gabriel rule were tested for association with all subtypes of AMD using UNPHASED, and additionally FBAT in the families. In addition to the use of residuals, multiple testing in FBAT was corrected for using the permutation test. Haplotype testing was also performed by two additional methods, backward selection and sliding window. Backward selection was performed in UNPHASED, beginning with all SNPs with association p value ≤0.12 in the model and taken out one at a time in order to determine the most significantly parsimonious haplotype . Sliding window analysis was also performed in UNPHASED, using a window size of 2 and using all SNPs with association p ≤ 0.12. Genotype and allele frequencies for all SNPs identified as either individually significant or significant as part of a haplotype were calculated in the affected patients and separately in unaffected controls (Table S4).
Based on the variation found within the extended sibling cohort, replication was performed on a cohort of unrelated cases and controls from central Greece and the combined NHS and HPFS cohort. Meta-analysis of all four cohorts was performed for SNPs genotyped in all four cohorts and also significant haplotypes using the Comprehensive Meta-Analysis v2 (Biostat, Englewood NJ, USA) program. Z-scores and overall p-values for each SNP were calculated under a fixed model based on odds ratios obtained from CLR for the family-based cohorts and UCLR for the case-control cohorts calculated in SAS while controlling for the covariates age, sex and smoking history. To test for the effects of population heterogeneity, Cochran's Q was also calculated, which is the weighted sum of squared differences between individual study effects and the pooled effect across studies.
In order to test for interaction or epistasis between the genes investigated here and previously reported AMD-associated genes, an interaction term was added into the regression model, including both variables. SNPs included in statistical analyses were SNPs that had been genotyped in more than one cohort: VDR (rs2189480); CFH (rs572515 and rs1061170); ARMS2/HTRA1 (rs10490924, rs11200638 and rs1049331); and RAR-related Orphan receptor A gene (RORA; rs12900948 and rs4335725) [38, 40, 42, 51, 52]. An additional pooled case-only analysis was performed in logistic regression to test for interaction with greater power. Statistical interaction was also tested for between UV measures and the variants examined using an interaction term in the regression models.
Bioinformatic analysis of functional implications of genetic variants
Variants were analysed by computational methods to infer potential functional relevance. Conservation analysis was performed using the comparative genomics feature in Ensembl http://useast.ensembl.org/index.html to compare the human variant with nine eutherian mammals, including chimp, mouse and pig. To analyse the putative biological effects of each exonic or intronic variation, either the major or minor allele was input into predictive programs flanked on either side by 100 bp of sequence. Potential human transcription factor binding sites were analysed using default parameters of the transcription element search system from the University of Pennsylvania http://www.cbil.upenn.edu/cgi-bin/tess/tess. Additional analysis of putative splice sites was performed using the default parameters of the Alternative Splice Site Predictor http://www.es.embnet.org/~mwang/assp.html. Also, the publicly available program mRNA by SNP Browser v 1.0.1[56, 57] was used to investigate the association of significant CYP24A1 SNPs and expression quantitative trait loci (eQTLs).
We used Ingenuity Pathway Analysis (IPA) software http://www.ingenuity.com/ to create a visual representation of the complex shared pathways involved in the aetiology of AMD, the metabolism/synthesis of vitamin D and the vascularisation processes. The likelihood that each gene/protein is randomly associated with a given function, pathway or other protein/gene is automatically calculated using the right-tailed Fisher's exact test. We accepted only those relationships with p > 0.0001, suggesting that their association with our gene/protein functions or diseases was non-random.
For our initial discovery cohort, we recruited a total of 135 extremely discordant sibling pairs (one sibling with neovascular AMD and one unaffected sibling -- AREDS category 1 or less). The mean ± SD age of the unaffected siblings was 76.0 ± 7.6 years (age range, 50.3-93.9) and the mean ± SD of the affected (neovascular) siblings was 71.7 ± 8.0 years (age range, 49.0-86.5) (Table S1 (Table 5)). Of the affected patients, 47 per cent were male and 39 per cent of the matching unaffected siblings were male. Most participants were of European descent.
The expanded sibling cohort comprised 481 sibling pairs and 657 individuals: 198 unaffected controls, 106 early and intermediate dry AMD patients (AREDS category 2 and 3), and 353 neo-vascular AMD patients (Table S1 (Table 5)). The mean ± SD age of the unaffected subjects was 75.4 ± 8.3 years (age range, 50.3-94.3 years), the mean age of the patients with early or intermediate AMD was 77.6 ± 7.2 years (age range, 58.2-100.6 years), and the age of those subjects with neovascular AMD was 73.9 ± 7.8 years (age range, 49.0-94.0 years). Forty-four percent of the unaffected subjects, 35 per cent of the AREDS category 2 and 3 AMD subjects and 41 per cent of the neovascular subjects were male. The cohort from central Greece consisted of a total of 344 patients: 121 unaffected controls, 84 early and intermediate dry AMD patients (AREDS category 2 and 3) and 139 neovascular AMD patients (Table S1 (Table 5)). The mean ± SD age of the unaffected subjects was 73.5 ± 7.3 years (age range, 48.0-88.0 years), the age of the patients with early or intermediate AMD was 74.5 ± 7.8 years (age range, 52.0-91.0 years) and the mean age of those subjects with neovascular AMD was 76.2 ± 7.5 years (age range, 49.0-94.0 years). Fifty-one per cent of the unaffected subjects, 44 per cent of the AREDS category 2 and 3 AMD subjects and 45 per cent of the neovascular subjects were male. All participants were white and from central Greece.
The prospective cohorts from the NHS and HPFS consisted of a total of 1,527 patients: 1,070 unaffected controls, 293 early and intermediate dry AMD patients (AREDS category 2 and 3) and 164 AMD neovascular patients. The mean ± SD age of the unaffected subjects was 60.2 ± 5.9 years (age range, 41.3-74.0 years), the age of the patients with early or intermediate AMD was 59.5 ± 5.7 years (age range, 41.3-74.0 years) and the mean age of those subjects with neovascular AMD was 61.1 ± 6.0 years (age range, 42.7-74.0 years). Thirty-six per cent of the unaffected subjects, 18 per cent of the AREDS category 2 and 3 AMD subjects and 46 per cent of the neovascular subjects were male.
Analysis of sunlight-associated epidemiological factors
The analysis of epidemiological data was performed on 133 extremely discordant sibling pairs, equalling 266 subjects. Twenty-six affected patients (19.5 per cent) had skin cancer and 25 (18.8 per cent) of their matched unaffected siblings also had skin cancer. Iris colour in the affected patients was 42.9 per cent blue (n = 151), 24.8 per cent green (n = 33) and 32.3 per cent brown (n = 34). In the matched unaffected patients iris colour was 41.6 per cent blue (n = 132), 25.0 per cent green (n = 33) and 33.4 per cent brown (n = 45). Of the affected siblings, 94 (70.6 per cent) reported taking multivitamin supplements at least twice a week for at least six months and 76 (57.1 per cent) of the unaffected patients reported the same. Specific vitamin D supplementation was reported in 11 affected patients (8.3 per cent) and 15 unaffected patients (11.3 per cent).
The average yearly UV index in the affected patients was 5.24 W/m2 (range, 4.42-7.49) and 5.43 W/m2 (range, 4.37-7.49) in the unaffected patients. Average yearly UVA in the affected patients was 40.22 W/m2 (range, 36.16-50.58) and 41.17 W/m2 (range, 36.17-50.57). Average yearly UVB in the affected patients was 0.99 W/m2 (range, 0.84-1.41) and 1.03 W/m2 (range, 0.84-1.41) in the unaffected patients.
Single factor analysis of epidemiological factors using conditional logistic regression
Distribution of continuous variables (if applicable)
Odds ratio (95% confidence interval)
Vitamin D supplements for ≥6 months
Multivitamin supplements for ≥6 months
Serum 25(OH)D level (ng/ml)
Sun exposure now 1†
Sun exposure now 2†
Sun exposure now 3†
Sun exposure now 4†
Sun exposure now 1 or 2†
Sun exposure 15 years ago 1†
Sun exposure 15 years ago 2†
Sun exposure 15 years ago 3†
Sun exposure 15 years ago 4†
Sun exposure 15 years ago 1 or 2†
Year UV index (TUV)‡
Year UV-A (TUV)‡
Year UV-B (TUV)‡
Year UV index (EPA)§
Multiple conditional logistic regression for UV irradiance
Odds ratio (95% CI)
Year UV index
Smoking ≥10 pack-years
CFH rs572515 (additive model)
HTRA1 rs1049331 (additive model)
Odds ratio (95% CI)
Smoking ≥10 pack-years
CFH rs572515 (additive model)
HTRA1 rs1049331 (additive model)
Odds ratio (95% CI)
Smoking ≥ 10 pack-years
CFH rs572515 (additive model)
HTRA1 rs1049331 (additive model)
Analysis of serum levels of vitamin D
RPE-choroid expression analysis
Investigation of vitamin D in retinal cells
Analysis of CYP27A1, CYP27B1, VDR and CYP24A1SNPs in the extremely discordant sibling pair cohort: Discovery cohort
Family-based association test analysis of individual CYP27A1, CYP27B1, VDR and CYP24A1 SNPs in discovery cohort
Sequencing of area surrounding significant variation
Based on the initial findings of significant variation within VDR and CYP24A1, a combination of direct sequencing and NextGen sequencing was performed on 95 neovascular patient samples in order to capture variation beyond the significantly associated tagging SNPs to include exons and surrounding exon/intron borders. Specifically, exons 4 and 5 of VDR and exons 4-12 of CYP24A1 were assayed for variation. No further variation was found within VDR, but the following 22 SNPs were found in the regions investigated in CYP24A1: rs2296241, rs4809960, rs4809959, rs2181874, rs6068816, rs6022993, rs6091828, rs6127119, rs6127118, rs2296239, rs2274130, rs1570670, rs1977297, rs1570669, rs927650, rs2762934, rs4809957, rs6022987, rs11907350, rs10623012, rs4811494 and rs2762933 (see Table S2 (Table 6)). Additionally, novel variations were found within CYP24A1 intron 7 at c.990 +189 (chromosome 20: 52,779,066; G > A) and c.990 + 222-223 (chromosome 20: 52,779,033; an insertion of 99 bp of the sequence GCGCACAGCATCTATACCACGGT GCCTCAGCGCACGGCCTCATACTAGACACCA CGGTGCCTCCGCGCACGGCCTCATACCAG ACGCCACGGTGCCTCC). Both variants were confirmed by sequencing in the reverse direction.
Further direct sequencing showed the 99 bp insert to be a repeated sequence. Patients were found to be both homozygous and heterozygous for this repeat. Interestingly, an alternative heterozygote was found that consisted of one 99 bp repeat and a second, smaller insert. This second insert had the same sequence as that described for rs3831062 but at a different location than that initially described (chromosome 20: 52,779,033; an insertion of 35 bp of the sequence GGAGGCACCGTGGCGTCTG GTATGAGGCCGTGCGC). Direct sequencing was performed for all subsequent variation of this sequence. This 99 bp insertion was not associated with AMD in either the sibling cohort or the Greek cohort.
Analysis of VDR and CYP24A1SNPs in the replication cohorts
Based on the results of direct sequencing, 24 SNPs/structural variants were genotyped in the extended sibling cohort consisting of 657 individuals/481 sibling pairs and the unrelated case-control cohort from central Greece by a combination of Sequenom, Taqman and direct sequencing. Based on the preliminary findings of association in the discovery and expanded sibling cohorts, the following 12 SNPs were genotyped in the NHS/HPFS cohort: VDR rs2189480, CYP24A1 rs2181874, rs6127118, c.990 +222-223ins99, rs2296239, rs2274130, rs1570670, rs1570669, rs927650, rs2762934, rs4809957 and rs11907350.
Haplotype analysis of CYP24A1
Those CYP24A1 SNPs that were shown to have a p-value ≤ 0.12 in the analysis of individual SNPs using UNPHASED were analysed in a backward selection fashion and, additionally, by using a sliding window approach for haplotype association using the same program. In each of the four cohorts, no method identified significant haplo-types (data not shown).
Meta-analysis of VDR and CYP24A1
Single SNP association results comparing all AMD subtypes with normal subjects
Expanded sibpair cohort
c.990 + 189
G > A
c.990 + 222-
Bioinformatic analysis of potential function of variants
Of the SNPs found to be significantly associated with AMD, three SNPs were well conserved across species: rs2296239, rs2274130 and rs1570670, spanning from exon 8 to intron 9 of CYP24A1. Transcription Element Search System (TESS) analysis showed that, of our five significant SNPs, three SNPs changed or created transcription factor binding sites with the presence of the minor allele. Specifically, the minor allele of rs2274130 eliminated the binding site of B factor T00286 factor i T00557 NF-E2; rs1570670 changed the binding site from Gata-1 to GR; and the minor allele of rs1570669 changed the binding site from NF-BA1 to STE12. Using the publicly available eQTL database mRNA by SNP Browser v 1.0.1,[56, 57] we investigated the association of the CYP24A1 SNPs that were significant alone or as part of a haplotype with eQTLs. Of our six SNPs, rs2181874 and rs1570669 were associated with the genes TSC22 domain family, member 1 (TSC22D1), unc-51-like kinase 2 (ULK2) and ring finger protein 213 (RNF213), respectively. These results suggest that further experimental analysis of these data would be worthwhile.
In order to identify causal variation, the creation of putative splice sites by genetic variants was analysed by inputting sequence into the alternative splice site predictor http://www.es.embnet.org/~mwang/assp.html (using the default parameters). Splice site analysis of the minor allele (G) of rs927650--the SNP most significantly associated with an increased risk of AMD in the Greek cohort--predicted the creation of an alternative isoform/cryptic donor at the bp immediately preceding this SNP (chromosome 20: 52772742) within intron 11 of the longest CYP24A1 transcript (CYP24A1-003) with a score of 10.967. Further studies should be conducted to test this prediction in a biological setting.
IPA analyses indicated that five genes (RXRA, VDR, PTH, CYP24 and CYP24A1) involved in the regulation of vitamin D metabolism, are connected by direct and indirect relationships to one AMD-associated gene (HTRA1) for which the pathway is unknown [10, 38, 52, 60–62]. Additionally, some of these pathway genes directly or indirectly interact with genes involved in angiogenesis (the CALR, catenin [cadherin-associated protein] beta 1 (CTNNB1), bone morphogenetic protein 4 (BMP4) and interleukin 6 [IL6] genes), one of the hallmarks of neovascular AMD.
Analysis of interactions between gene variants and environmental factors
For gene-gene interactions, all CYP24A1 SNPs were tested for interaction with well-established risk genotypes in ARMS2/HTRA1, CFH and RORA for which we had previous genotyping data and, furthermore, for interaction with VDR rs2189480. Analysis of all AMD subtypes compared with unaffected individuals showed several CYP24A1 SNPs and VDR rs2189480 to interact modestly, but these associations did not remain significant after adjusting for multiple comparisons. The pooled case-only analysis showed no significant interactions between CYP24A1 SNPs and VDR rs2189480.
Interaction between both CYP24A1 and VDR variants and sunlight exposure was also tested using CLR in SAS. No significant interaction was found between UV irradiation and any of the variants tested (data not shown).
Many pathways and processes involved in the progression of systemic disorders such as cancer, cardiovascular disease and autoimmune diseases are also thought to be involved in AMD. It is therefore likely that valuable insights into the pathophysiology of AMD may be gained by studying pathways common to AMD and other well-characterised diseases that may overlap in pathogenesis. In fact, cross-talk between disease fields has already proven beneficial for the treatment of AMD: anti-vascular endothelial growth factor (anti-VEGF) antibodies initially developed for the treatment of cancer are currently the most effective treatment for neovascular AMD .
The important role of vitamin D in diseases of complex aetiology, its anti-angiogenic properties and an association between vitamin D serum levels and early AMD led us initially to explore the association between vitamin D and neovascular AMD by examining vitamin D-associated epidemiological factors and genetic variants of vitamin D metabolism genes in an extremely discordant sibling pair cohort. Here, we showed a protective effect of UV exposure on the development of neo-vascular AMD. Further, we identified several CYP24A1 SNPs significantly associated with all subtypes of AMD in four diverse cohorts, both retrospectively and prospectively. Moreover, these significant associations were demonstrated in a meta-analysis of the four cohorts. To the best of our knowledge, this was the first study to demonstrate a protective effective of UV exposure on the development of AMD and a genetic link between vitamin D metabolism and AMD.
The role of sunlight in AMD pathophysiology remains controversial. Human exposure to natural sunlight may be both beneficial and detrimental. One benefit of cutaneous sunlight exposure is the production of vitamin D. Studies have also shown that vitamin D produced as a result of sunlight exposure reduces the risk of autoimmune diseases such as multiple sclerosis (MS) and inflammatory bowel disease (IBD) . By contrast, natural sunlight (ie UV exposure) has long been known to have harmful effects on the human body, including permanent DNA damage. For example, studies have linked sunlight exposure to skin cancer, for both melanomas [64, 65] and carcinomas . In dermatological malignancies, the most detrimental factor is UVB, but UVA may also play a role.
To distinguish between the effects of general sunlight exposure and specifically UV exposure, sunlight exposure was self-assessed by patients and UV exposure was quantified separately by examining UV radiation, as measured in irradiance of UVB (290 nm to 320 nm), UVA (320 nm to 400 nm) and UV index. In addition, we examined vitamin supplementation, as well as sun-related variables including iris colour, self-reported sun exposure and skin cancer history. We also measured 25(OH)D in sera as a biomarker for vitamin D levels. To the best of the authors' knowledge, this was the first examination of sunlight exposure in the context of established AMD risk genotypes and smoking.
Quantification of sunlight exposure is difficult, as it is an ongoing life-long process [67–79]. One of the first studies of ocular exposure to UV based on interview data and field measurements in Chesapeake Bay watermen demonstrated no association between UV exposure and AMD . Further analysis of this same dataset showed that there was in fact an association between AMD and ocular exposure, but to blue light specifically [76, 78]. Alternatively, various studies have tested the association of sunlight exposure and AMD by measuring various sun-related variables. For example, Khan et al. investigated the role of variables such as iris colour, place of residence and hair colour but found no association between AMD and these sun related factors . Cruickshanks et al. measured lifetime number of sunburns, use of hats and sunglasses and number of hours spent outdoors, and showed an association between leisure time spent outdoors and risk of early AMD . Our study demonstrated a protective effect of moderate levels of UV radiation exposure and AMD, independent of smoking history and CFH and HTRA1 genotype. While experimental studies have shown that UV light has damaging effects on the retina--primarily via oxidative damage and formation of reactive oxygen species--previous epidemiological studies have shown inconsistent results regarding an association between UV light and risk of AMD [67–79]. UV light is part of the sunlight spectrum, but only UVA (320-400 nm) and UVB (280-320 nm) reach the Earth's surface. UV light has traditionally been considered harmful because it induces DNA damage and causes oxidative damage to RPE cells [82–84]. Furthermore, UV light has been shown to have pro-angiogenic properties. UVA-irradiated RPE cells have been shown to have increased levels of prostaglandin-endoperoxide synthase 2 (also known as cyclooxygenase-2 [COX2]), which is implicated in choroidal neovascularisation . UVB-induced tumours express elevated levels of factors associated with angiogenesis, including VEGF, matrix metallopeptidase 2 (MMP2) and matrix metallopeptidase 3 (MMP3) .
Emerging evidence shows that solar radiation may have beneficial effects, however. Epidemiological studies have demonstrated that sunlight reduces the incidence and mortality of various cancers, including non-Hodgkin's lymphoma and melanoma [88, 89]. UV light is known to suppress the immune response and growing evidence points to the role of inflammation in AMD pathogenesis. Since aberrant inflammation is believed to be a contributing factor to AMD, the immunosuppressive effects of UV radiation may provide some protective effect.
We specifically examined the role of UV light and AMD in this study, although previous studies have mainly looked at ambient sunlight exposure. Previous studies have been inconsistent about the role of sunlight exposure and AMD [67–79, 91, 92]. Some studies suggested a positive association,[69, 76, 91, 92] while others found no correlation [71, 78, 93]. To our knowledge, our study was the first to show a protective influence of UV light on neovascular AMD. Our finding may contrast with previous studies as a result of using a larger number of neovascular cases (n = 133) than that used in most previous studies. Furthermore, previous studies measured ambient solar radiation, which includes light of various wavelengths (UV, infrared, visible), while our study distinguished the contribution of UV irradiance.
Although our gene expression studies on vitamin D metabolism genes in human donor eyes found no significant association as a function of age or disease status, differences in expression levels between the macular and extramacular regions were observed. Specifically, the expression of both VDR and CYP27A1 was detected in the RPE-choroid, and CYP27A1 and CYP27B1 were detected in the retina, thus suggesting that the vitamin D metabolic genes VDR and CYP27B1 may function differently between the maculae and extramaculae, whether diseased or non-diseased. Also, AMD may not be a localised disease but rather may manifest systemically, and this may explain why CYP24A1 was not detected in human retinal tissue regardless of disease status. The gene expression changes that we observed in retinal cell lines suggested that CYP24A1 activity may alter over time and this would support its role in a late-onset disease such as AMD.
There were several limitations to this study. First, there was the possibility of recall bias. There was no definitive method to confirm an individual's recall of personal sun exposure and thus data could have been prone to misclassification. We attempted to minimise this bias by using a quantitative measurement of UV exposure based on the geographical location where the participants had resided for the majority of their lifetime; however, assessment of UV radiation based on residential history represents potential rather than actual exposure and could be subject to error. Secondly, although the subjects were questioned about the amount of time they spent outdoors, no information was gathered about their use of protection against sunlight, such as hats and sunglasses, which shield against UV light. Further, the subjects' sera were collected at various times throughout the year, and thus serum levels of vitamin D measured in this study may not accurately have represented the true range among the patient population, since vitamin D levels are influenced by sunlight exposure, diet and age.
Although a previous study by Parekh et al. showed an inverse relationship between vitamin D levels and early AMD but not late AMD, this study was limited by a small number of patients with an advanced form of AMD (n = 10). A more recent study by Millen et al. was able to show a statistically significant association between serum 25(OH)D concentrations and early AMD in women younger than 75 years; specifically, that high serum 25(OH)D concentrations may be protective . In our study, we further investigated the association of serum levels of 25(OH)D, the circulating form of vitamin D, with neovascular AMD by analysing the serum levels of 50 extremely discordant sibling pairs (n = 100). Our results were similar to those found by Millen and colleagues: a trend towards higher levels of vitamin D in the serum of unaffected patients compared with neo-vascular patients, although the difference was not statistically significant. Since the ability to produce vitamin D is diminished with advanced age (ageing results in decreased amounts of cutaneous 7-dehydrocholesterol, and by 70 years of age vitamin D3 synthesis is reduced by approximately 75 per cent), it is not unexpected that serum vitamin D levels were low, given that the average age of our unaffected patients was 75.4 years. This could explain why the association was not significant. Additionally, since this was measured only once, the serum values reflected the vitamin D production/intake over a limited amount of time, thus suggesting enhanced random measurement error.
In addition to epidemiological data, the association of AMD with genetic variation in vitamin D pathway genes was further suggested by existing linkage data for genomic regions associated with AMD. The vitamin D pathway genes assayed in this study all lie within regions that have been associated with AMD -- specifically, 2q33 (CYP27A1), 12q13 (CYP27B1 and VDR), and 20q13 (CYP24A1).
The CYP24A1 SNPs significantly associated with neovascular AMD in the discovery cohort (either individually [rs6127118 and rs2769234] or as part of a haplotype [rs6068816, rs6127118, rs1570699, rs92760 and rs2762934]) were concentrated in the area between exon 6 and exon 12. This area was further examined and refined by direct sequencing and analysed in an extended sibling cohort. After controlling for smoking history, sex and age, we were able to show significant variation in CYP24A1 in all populations, both separately and, more importantly, in a meta-analysis. Variation within CYP24A1 was available in the dbGAP dataset http://www.ncbi.nlm.nih.gov/projects/gap/ but, when tested for association with AMD, no significance was observed. This lack of association could be explained by the small number of subjects in the dbGAP dataset, as compared with the current study (n = 500 and 2,528, respectively). Additionally, these data were based on a 100,000 SNP chip, and the CYP24A1 variation was imputed with low imputation quality, which is another limitation of the dbGAP dataset.
Moreover, pathway analysis showed that, in a hypothetical pathway, CYP24A1 was directly linked to another AMD-associated gene, HTRA1, for which the exact pathway is unknown. In a complex disease such as AMD, one would expect the combination of multiple effects, including the modest effect of CYP24A1, to contribute to disease causality. Although there was no statistical interaction seen between CYP24A1 and HTRA1, there may have been binding between the two that differed between those with and those without AMD. Further molecular studies should be performed to investigate this association.
An anti-angiogenic role for vitamin D has been well documented in the cancer literature [96–98]. Therefore, a role for vitamin D may be protective of AMD by its anti-angiogenic properties . For example, VEGF expression was downregulated after tumour cells were treated with vitamin D [25, 26]. Vitamin D may exert anti-inflammatory properties by enhancing T suppressor cell activity and down-regulating T helper cells, T cytotoxic cells and natural killer cells . At physiological concentrations, vitamin D has also been shown to protect cell proteins and membranes from oxidative damage . In addition to playing a role in cancer, the vitamin D pathway has been implicated in several autoimmune diseases. Several studies have found that low levels of vitamin D are associated with increased autoimmunity.
A role for vitamin D in AMD is not only plausible in terms of the known biological roles of vitamin D, but also because of the diminished ability to produce vitamin D with advanced age . The problem of vitamin D deficiency is not only prevalent among the elderly: as of 2005, approximately 40 per cent of men and 50 per cent of women aged over 18 from the USA were estimated to have inadequate levels of 25(OH)D .
In summary, using multiple lines of evidence, this study demonstrated an association between the vitamin D pathway and AMD. Specifically, there is a protective association between UV radiation and neovascular AMD which is independent of smoking and CFH and HTRA1 polymorphisms. Additionally, we identified an association between genetic variation in the major vitamin D catabolic gene, CYP24A1, and risk for all forms of AMD and, specifically, the neovascular form of AMD. Further experiments are needed to elucidate the role of vitamin D and UV light in the pathogenesis of AMD. Ongoing large-scale trials of supplemental vitamin D may provide a unique opportunity to examine the effects of vitamin D on AMD in a randomised trial setting. Such studies may have important implications for the prevention and/or treatment of neovascular AMD by the regulation of modifiable lifestyle factors that influence levels of vitamin D.
We thank the patients and their siblings for their participation in this study. We also thank Anne Marie Lane, Amanda Harring and Trevor Arneberg for their help on this project and Fei Ji, for critical and helpful discussions on statistical analysis.
This work was supported by grants from the Lincy Foundation; the Massachusetts Lions; Friends of the Massachusetts Eye and Ear Infirmary; Genetics of Age-related Macular Degeneration Fund; MEEI; the Edward N. & Della L. Thome Memorial Foundation; an unrestricted grant from Research to Prevent Blindness, Inc. to the Department of Ophthalmology and Visual Sciences, University of Utah; Hope for Vision and the National Institutes of Health [EY014458, EY14104, EY017362, EY017404].
- Hanahan D, Weinberg RA: The hallmarks of cancer. Cell. 2000, 100: 57-70. 10.1016/S0092-8674(00)81683-9.View ArticlePubMedGoogle Scholar
- Ding X, Patel M, Chan C-C: Molecular pathology of age-related macular degeneration. Prog Retin Eye Res. 2009, 28: 1-18. 10.1016/j.preteyeres.2008.10.001.PubMed CentralView ArticlePubMedGoogle Scholar
- Jager RD, Mieler WF, Miller JW: Age-related macular degeneration. N Engl J Med. 2008, 358: 2606-2617. 10.1056/NEJMra0801537.View ArticlePubMedGoogle Scholar
- Anderson DH, Mullins RF, Hageman GS, Johnson LV: A role for local inflammation in the formation of drusen in the aging eye. Am J Ophthalmol. 2002, 134: 411-431. 10.1016/S0002-9394(02)01624-0.View ArticlePubMedGoogle Scholar
- Hageman GS, Luthert PJ, Victor Chong NH, Johnson LV, et al: An integrated hypothesis that considers drusen as biomarkers of immune-mediated processes at the RPE-Bruch's membrane interface in aging and age-related macular degeneration. Prog Retin Eye Res. 2001, 20: 705-732. 10.1016/S1350-9462(01)00010-6.View ArticlePubMedGoogle Scholar
- Beatty S, Koh H, Phil M, Henson D, et al: The role of oxidative stress in the pathogenesis of age-related macular degeneration. Surv Ophthalmol. 2000, 45: 115-134. 10.1016/S0039-6257(00)00140-5.View ArticlePubMedGoogle Scholar
- Dong A, Xie B, Shen J, Yoshida T, et al: Oxidative stress promotes ocular neovascularization. J Cell Physiol. 2009, 219: 544-552. 10.1002/jcp.21698.PubMed CentralView ArticlePubMedGoogle Scholar
- Dong LM, Ulrich CM, Hsu L, Duggan DJ, et al: Vitamin D related genes CYP24A1 and CYP27B1, and colon cancer risk. Cancer Epidemiol Biomarkers Prev. 2009, 18: 2540-2548. 10.1158/1055-9965.EPI-09-0228.PubMed CentralView ArticlePubMedGoogle Scholar
- Haines JL, Hauser MA, Schmidt S, Scott WK, et al: Complement factor H variant increases the risk of age-related macular degeneration. Science. 2005, 308: 419-421. 10.1126/science.1110359.View ArticlePubMedGoogle Scholar
- Jakobsdottir J, Conley YP, Weeks DE, Mah TS, et al: Susceptibility genes for age-related maculopathy on chromosome 10q26. Am J Hum Genet. 2005, 77: 389-407. 10.1086/444437.PubMed CentralView ArticlePubMedGoogle Scholar
- Khansari N, Shakiba Y, Mahmoudi M: Chronic inflammation and oxidative stress as a major cause of age-related diseases and cancer. Recent Pat Inflamm Allergy Drug Discov. 2009, 3: 73-80. 10.2174/187221309787158371.View ArticlePubMedGoogle Scholar
- Klein R, Klein BEK, Knudtson MD, Wong TY, et al: Systemic markers of inflammation endothelial dysfunction, and age-related maculopathy. Am J Ophthalmol. 2005, 140: 35-44.PubMedGoogle Scholar
- Murdoch C, Muthana M, Coffelt SB, Lewis CE: The role of myeloid cells in the promotion of tumour angiogenesis. Nat Rev Cancer. 2008, 8: 618-631. 10.1038/nrc2444.View ArticlePubMedGoogle Scholar
- Ostrand-Rosenberg S, Sinha P: Myeloid-derived suppressor cells: Linking inflammation and cancer. J Immunol. 2009, 182: 4499-4506. 10.4049/jimmunol.0802740.PubMed CentralView ArticlePubMedGoogle Scholar
- Pan J-S, Hong M-Z, Ren J-L: Reactive oxygen species: A double-edged sword in oncogenesis. World J Gastroenterol. 2009, 15: 1702-1707. 10.3748/wjg.15.1702.PubMed CentralView ArticlePubMedGoogle Scholar
- Pittet MJ: Behavior of immune players in the tumor microen-vironment. Curr Opin Oncol. 2009, 21: 53-59. 10.1097/CCO.0b013e32831bc38a.PubMed CentralView ArticlePubMedGoogle Scholar
- Shan W, Yang G, Liu J: The inflammatory network: Bridging senescent stroma and epithelial tumorigenesis. Front Biosci. 2009, 14: 4044-4057.View ArticleGoogle Scholar
- Swaroop A, Chew EY, Rickman CB, Abecasis GR: Unraveling a multifactorial late-onset disease: From genetic susceptibility to disease mechanisms for age-related macular degeneration. Annu Rev Genomics Hum Genet. 2009, 10: 19-43. 10.1146/annurev.genom.9.081307.164350.PubMed CentralView ArticlePubMedGoogle Scholar
- Visconti R, Grieco D: New insights on oxidative stress in cancer. Curr Opin Drug Discov Devel. 2009, 12: 240-245.PubMedGoogle Scholar
- Deeb KK, Trump DL, Johnson CS: Vitamin D signalling pathways in cancer: Potential for anticancer therapeutics. Nat Rev Cancer. 2007, 7: 684-700. 10.1038/nrc2196.View ArticlePubMedGoogle Scholar
- Egan KM: Vitamin D and melanoma. Ann Epidemiol. 2009, 19: 455-461. 10.1016/j.annepidem.2009.01.005.View ArticlePubMedGoogle Scholar
- Garland FC, Garland CF, Gorham ED, Young JF: Geographic variation in breast cancer mortality in the United States: A hypothesis involving exposure to solar radiation. Prev Med. 1990, 19: 614-622. 10.1016/0091-7435(90)90058-R.View ArticlePubMedGoogle Scholar
- Lefkowitz ES, Garland CF: Sunlight vitamin D, and ovarian cancer mortality rates in US women. Int J Epidemiol. 1994, 23: 1133-1136. 10.1093/ije/23.6.1133.View ArticlePubMedGoogle Scholar
- Holick MF: Vitamin D and bone health. J Nutr. 1996, 126 (4 Suppl): 1159S-1164S.PubMedGoogle Scholar
- Shokravi MT, Marcus DM, Alroy J, Egan K, et al: Vitamin D inhibits angiogenesis in transgenic murine retinoblastoma. Invest Ophthalmol Vis Sci. 1995, 36: 83-87.PubMedGoogle Scholar
- Iseki K, Tatsuta M, Uehara H, Iishi H, et al: Inhibition of angiogenesis as a mechanism for inhibition by 1alpha-hydroxyvitamin D3 and 1,25-dihydroxyvitamin D3 of colon carcinogenesis induced by azoxymethane in Wistar rats. Int J Cancer. 1999, 81: 730-733. 10.1002/(SICI)1097-0215(19990531)81:5<730::AID-IJC11>3.0.CO;2-Q.View ArticlePubMedGoogle Scholar
- Hansen CM, Hansen D, Holm PK, Binderup L: Vitamin D compounds exert anti-apoptotic effects in human osteosarcoma cells in vitro. J Steroid Biochem Mol Biol. 2001, 77: 1-11. 10.1016/S0960-0760(01)00033-4.View ArticlePubMedGoogle Scholar
- Hayes CE, Nashold FE, Spach KM, Pedersen LB: The immunological functions of the vitamin D endocrine system. Cell Mol Biol (Noisy-le-grand). 2003, 49: 277-300.Google Scholar
- Abe E, Miyaura C, Sakagami H, Takeda M, et al: Differentiation of mouse myeloid leukemia cells induced by 1 alpha,25-dihydroxyvitamin D3. Proc Natl Acad Sci USA. 1981, 78: 4990-4994. 10.1073/pnas.78.8.4990.PubMed CentralView ArticlePubMedGoogle Scholar
- Ravid A, Koren R: The role of reactive oxygen species in the anticancer activity of vitamin D. Recent Results Cancer Res. 2003, 164: 357-367.View ArticlePubMedGoogle Scholar
- Ahn J, Albanes D, Berndt SI, Peters U, et al: Vitamin D-related genes. serum vitamin D concentrations and prostate cancer risk. Carcinogenesis. 2009, 30: 769-776. 10.1093/carcin/bgp055.PubMed CentralView ArticlePubMedGoogle Scholar
- Bär M, Domaschke D, Meye A, Lehmann B, et al: Wavelength-dependent induction of CYP24A1-mRNA after UVB-triggered calcitriol synthesis in cultured human keratinocytes. J Invest Dermatol. 2007, 127: 206-213. 10.1038/sj.jid.5700493.View ArticlePubMedGoogle Scholar
- Lanske B, Razzaque MS: Vitamin D and aging: Old concepts and new insights. J Nutr Biochem. 2007, 18: 771-777. 10.1016/j.jnutbio.2007.02.002.PubMed CentralView ArticlePubMedGoogle Scholar
- Parekh N, Chappell RJ, Millen AE, Albert DM, et al: Association between vitamin D and age-related macular degeneration in the Third National Health and Nutrition Examination Survey 1988 through 1994. Arch Ophthalmol. 1994, 125: 661-669.View ArticleGoogle Scholar
- Seddon JM, Santangelo SL, Book K, Chong S, et al: A genomewide scan for age-related macular degeneration provides evidence for linkage to several chromosomal regions. Am J Hum Genet. 2003, 73: 780-790. 10.1086/378505.PubMed CentralView ArticlePubMedGoogle Scholar
- Iyengar SK, Song D, Klein BEK, Klein R, et al: Dissection of genomewide-scan data in extended families reveals a major locus and oligogenic susceptibility for age-related macular degeneration. Am J Hum Genet. 2004, 74: 20-39. 10.1086/380912.PubMed CentralView ArticlePubMedGoogle Scholar
- DeAngelis MM, Lane AM, Shah CP, Ott J, et al: Extremely discordant sib-pair study design to determine risk factors for neovascular age-related macular degeneration. Arch Ophthalmol. 2004, 122: 575-580. 10.1001/archopht.122.4.575.View ArticlePubMedGoogle Scholar
- DeAngelis MM, Ji F, Adams S, Morrison MA, et al: Alleles in the HtrA serine peptidase 1 gene alter the risk of neovascular age-related macular degeneration. Ophthalmology. 2008, 115: 1209-1215.e7. 10.1016/j.ophtha.2007.10.032.PubMed CentralView ArticlePubMedGoogle Scholar
- Age-Related Eye Disease Study Research Group: A randomized. placebo-controlled, clinical trial of high-dose supplementation with vitamins C and E, beta carotene, and zinc for age-related macular degeneration and vision loss: AREDS report no. 8. Arch Ophthalmol. 2001, 119: 1417-1436.PubMed CentralView ArticleGoogle Scholar
- Silveira AC, Morrison MA, Ji F, Xu H, et al: Convergence of linkage. gene expression and association data demonstrates the influence of the RAR-related orphan receptor alpha (RORA) gene on neovascular AMD: A systems biology based approach. Vision Res. 2010, 50: 698-715. 10.1016/j.visres.2009.09.016.PubMed CentralView ArticlePubMedGoogle Scholar
- Klein R, Klein BEK, Tomany SC, Moss SE: Ten-year incidence of age-related maculopathy and smoking and drinking: The Beaver Dam Eye Study. Am J Epidemiol. 2002, 156: 589-598. 10.1093/aje/kwf092.View ArticlePubMedGoogle Scholar
- Schaumberg DA, Chasman D, Morrison MA, Adams SM, et al: Prospective study of common variants in the retinoic acid receptor-related orphan receptor α gene and risk of neovascular age-related macular degeneration. Arch Ophthalmol. 2010, 128: 1462-1471. 10.1001/archophthalmol.2010.261.PubMed CentralView ArticlePubMedGoogle Scholar
- Schaumberg DA, Hankinson SE, Guo Q, Rimm E, et al: A prospective study of 2 major age-related macular degeneration susceptibility alleles and interactions with modifiable risk factors. Arch Ophthalmol. 2007, 125: 55-62. 10.1001/archopht.125.1.55.View ArticlePubMedGoogle Scholar
- Hollis BW, Kamerud JQ, Selvaag SR, Lorenz JD, et al: Determination of vitamin D status by radioimmunoassay with an 125I-labeled tracer. Clin Chem. 1993, 39: 529-533.PubMedGoogle Scholar
- Chong NHV, Keonin J, Luthert PJ, Frennesson CI, et al: Decreased thickness and integrity of the macular elastic layer of Bruch's membrane correspond to the distribution of lesions associated with age-related macular degeneration. Am J Pathol. 2005, 166: 241-251. 10.1016/S0002-9440(10)62248-1.PubMed CentralView ArticlePubMedGoogle Scholar
- Hageman GS, Anderson DH, Johnson LV, Hancox LS, et al: A common haplotype in the complement regulatory gene factor H (HF1/CFH) predisposes individuals to age-related macular degeneration. Proc Natl Acad Sci USA. 2005, 102: 7227-7232. 10.1073/pnas.0501536102.PubMed CentralView ArticlePubMedGoogle Scholar
- Mullins RF, Russell SR, Anderson DH, Hageman GS: Drusen associated with aging and age-related macular degeneration contain proteins common to extracellular deposits associated with atherosclerosis elastosis, amyloidosis, and dense deposit disease. FASEB J. 2000, 14: 835-846.PubMedGoogle Scholar
- Seddon JM, Santangelo SL, Book K, Chong S, et al: A genomewide scan for age-related macular degeneration provides evidence for linkage to several chromosomal regions. Am J Hum Genet. 2003, 73: 780-790. 10.1086/378505.PubMed CentralView ArticlePubMedGoogle Scholar
- Srivatsan A, Han Y, Peng J, Tehranchi AK, et al: High-precision. whole-genome sequencing of laboratory strains facilitates genetic studies. PLoS Genet. 2008, 4: e1000139-10.1371/journal.pgen.1000139.PubMed CentralView ArticlePubMedGoogle Scholar
- Andreoli MT, Morrison MA, Kim BJ, Chen L, et al: Comprehensive analysis of complement factor H and LOC387715/ARMS2/HTRA1 variants with respect to phenotype in advanced age-related macular degeneration. Am J Ophthalmol. 2009, 148: 869-874. 10.1016/j.ajo.2009.07.002.PubMed CentralView ArticlePubMedGoogle Scholar
- DeAngelis MM, Ji F, Kim IK, Adams S, et al: Cigarette smoking. CFH, APOE, ELOVL4, and risk of neovascular age-related macular degeneration. Arch Ophthalmol. 2007, 125: 49-54. 10.1001/archopht.125.1.49.View ArticlePubMedGoogle Scholar
- Zhang H, Morrison MA, Dewan A, Adams S, et al: The NEI/NCBI dbGAP database: Genotypes and haplotypes that may specifically predispose to risk of neovascular age-related macular degeneration. BMC Med Genet. 2008, 9: 51-PubMed CentralView ArticlePubMedGoogle Scholar
- Dudbridge F: Likelihood-based association analysis for nuclear families and unrelated subjects with missing genotype data. Hum Hered. 2008, 66: 87-98. 10.1159/000119108.PubMed CentralView ArticlePubMedGoogle Scholar
- Gabriel SB, Schaffner SF, Nguyen H, Moore JM, et al: The structure of haplotype blocks in the human genome. Science. 2002, 296: 2225-2229. 10.1126/science.1069424.View ArticlePubMedGoogle Scholar
- Francis PJ, Schultz DW, Hamon S, Ott J, et al: Haplotypes in the complement factor H (CFH) gene: Associations with drusen and advanced age-related macular degeneration. PLoS ONE. 2007, 2: e1197-10.1371/journal.pone.0001197.PubMed CentralView ArticlePubMedGoogle Scholar
- Dixon AL, Liang L, Moffatt MF, Chen W, et al: A genome-wide association study of global gene expression. Nat Genet. 2007, 39: 1202-1207. 10.1038/ng2109.View ArticlePubMedGoogle Scholar
- Moffatt MF, Kabesch M, Liang L, Dixon AL, et al: Genetic variants regulating ORMDL3 expression contribute to the risk of childhood asthma. Nature. 2007, 448: 470-473. 10.1038/nature06014.View ArticlePubMedGoogle Scholar
- Albert DM, Marcus DM, Gallo JP, O'Brien JM: The antineoplastic effect of vitamin D in transgenic mice with retinoblastoma. Invest Ophthalmol Vis Sci. 1992, 33: 2354-2364.PubMedGoogle Scholar
- Clark AG: The role of haplotypes in candidate gene studies. Genet Epidemiol. 2004, 27: 321-333. 10.1002/gepi.20025.View ArticlePubMedGoogle Scholar
- Rivera A, Fisher SA, Fritsche LG, Keilhauer CN, et al: Hypothetical LOC387715 is a second major susceptibility gene for age-related macular degeneration contributing independently of complement factor H to disease risk. Hum Mol Genet. 2005, 14: 3227-3236. 10.1093/hmg/ddi353.View ArticlePubMedGoogle Scholar
- Yang Z, Camp NJ, Sun H, Tong Z, et al: A variant of the HTRA1 gene increases susceptibility to age-related macular degeneration. Science. 2006, 314: 992-993. 10.1126/science.1133811.View ArticlePubMedGoogle Scholar
- Dewan A, Liu M, Hartman S, Zhang SS-M, et al: HTRA1 promoter polymorphism in wet age-related macular degeneration. Science. 2006, 314: 989-992. 10.1126/science.1133807.View ArticlePubMedGoogle Scholar
- Cantorna MT: Vitamin D and its role in immunology: Multiple sclerosis and inflammatory bowel disease. Prog Biophys Mol Biol. 2006, 92: 60-64. 10.1016/j.pbiomolbio.2006.02.020.View ArticlePubMedGoogle Scholar
- Fears TR, Bird CC, Guerry D, Sagebiel RW, et al: Average midrange ultraviolet radiation flux and time outdoors predict melanoma risk. Cancer Res. 2002, 62: 3992-3996.PubMedGoogle Scholar
- Solomon CC, White E, Kristal AR, Vaughan T: Melanoma and lifetime UV radiation. Cancer Causes Control. 2004, 15: 893-902. 10.1007/s10552-004-1142-9.View ArticlePubMedGoogle Scholar
- de Gruijl FR: p53 mutations as a marker of skin cancer risk: Comparison of UVA and UVB effects. Exp Dermatol. 2002, 11 (Suppl 1): 37-39.View ArticlePubMedGoogle Scholar
- The Eye Disease Case-Control Study Group: Risk factors for neovascular age-related macular degeneration. Arch Ophthalmol. 1992, 110: 1701-1708.View ArticleGoogle Scholar
- Cruickshanks KJ, Klein R, Klein BE: Sunlight and age-related macular degeneration. The Beaver Dam Eye Study. Arch Ophthalmol. 1993, 111: 514-518. 10.1001/archopht.1993.01090040106042.View ArticlePubMedGoogle Scholar
- Cruickshanks KJ, Klein R, Klein BE, Nondahl DM: Sunlight and the 5-year incidence of early age-related maculopathy: The Beaver Dam Eye Study. Arch Ophthalmol. 2001, 119: 246-250.PubMedGoogle Scholar
- Darzins P, Mitchell P, Heller RF: Sun exposure and age-related macular degeneration. An Australian case-control study. Ophthalmology. 1997, 104: 770-776.View ArticlePubMedGoogle Scholar
- Delcourt C, Carrière I, Ponton-Sanchez A, Fourrey S, et al: Light exposure and the risk of age-related macular degeneration: The Pathologies Oculaires Liées à l'Age (POLA) study. Arch Ophthalmol. 2001, 119: 1463-1468. 10.1001/archopht.119.10.1463.View ArticlePubMedGoogle Scholar
- Dillon J, Zheng L, Merriam JC, Gaillard ER: Transmission of light to the aging human retina: Possible implications for age related macular degeneration. Exp Eye Res. 2004, 79: 753-759. 10.1016/j.exer.2004.06.025.View ArticlePubMedGoogle Scholar
- Fletcher AE, Bentham GC, Agnew M, Young IS, et al: Sunlight exposure. antioxidants, and age-related macular degeneration. Arch Ophthalmol. 2008, 126: 1396-1403. 10.1001/archopht.126.10.1396.View ArticlePubMedGoogle Scholar
- McCarty CA, Mukesh BN, Fu CL, Mitchell P, et al: Risk factors for age-related maculopathy: The Visual Impairment Project. Arch Ophthalmol. 2001, 119: 1455-1462. 10.1001/archopht.119.10.1455.View ArticlePubMedGoogle Scholar
- Rosenthal FS, Phoon C, Bakalian AE, Taylor HR: The ocular dose of ultraviolet radiation to outdoor workers. Invest Ophthalmol Vis Sci. 1988, 29: 649-656.PubMedGoogle Scholar
- Taylor HR, Mun ˜oz B, West S, Bressler NM, et al: Visible light and risk of age-related macular degeneration. Trans Am Ophthalmol Soc. 1990, 88: 163-173. discussion 173-178PubMed CentralPubMedGoogle Scholar
- Tomany SC, Cruickshanks KJ, Klein R, Klein BEK, et al: Sunlight and the 10-year incidence of age-related maculopathy: The Beaver Dam Eye Study. Arch Ophthalmol. 2004, 122: 750-757. 10.1001/archopht.122.5.750.View ArticlePubMedGoogle Scholar
- West SK, Rosenthal FS, Bressler NM, Bressler SB, et al: Exposure to sunlight and other risk factors for age-related macular degeneration. Arch Ophthalmol. 1989, 107: 875-879. 10.1001/archopht.1989.01070010897038.View ArticlePubMedGoogle Scholar
- West SK, Duncan DD, Mun ˜oz B, Rubin GS, et al: Sunlight exposure and risk of lens opacities in a population-based study: The Salisbury Eye Evaluation project. JAMA. 1998, 280: 714-718. 10.1001/jama.280.8.714.View ArticlePubMedGoogle Scholar
- Khan JC, Shahid H, Thurlby DA, Bradley M, et al: Age related macular degeneration and sun exposure. iris colour, and skin sensitivity to sunlight. Br J Ophthalmol. 2006, 90: 29-32. 10.1136/bjo.2005.073825.PubMed CentralView ArticlePubMedGoogle Scholar
- Winkler BS, Boulton ME, Gottsch JD, Sternberg P: Oxidative damage and age-related macular degeneration. Mol Vis. 1999, 5: 32-PubMed CentralPubMedGoogle Scholar
- Roduit R, Schorderet DF: MAP kinase pathways in UV-induced apoptosis of retinal pigment epithelium ARPE19 cells. Apoptosis. 2008, 13: 343-353. 10.1007/s10495-008-0179-8.View ArticlePubMedGoogle Scholar
- Patton WP, Chakravarthy U, Davies RJ, Archer DB: Comet assay of UV-induced DNA damage in retinal pigment epithelial cells. Invest Ophthalmol Vis Sci. 1999, 40: 3268-3275.PubMedGoogle Scholar
- Tratsk KS, Thanos S: UV irradiation causes multiple cellular changes in cultured human retinal pigment epithelium cells. Graefes Arch Clin Exp Ophthalmol. 2003, 241: 852-859. 10.1007/s00417-003-0747-0.View ArticlePubMedGoogle Scholar
- Chan C-M, Huang J-H, Lin H-H, Chiang H-S, et al: Protective effects of (-)-epigallocatechin gallate on UVA-induced damage in ARPE19 cells. Mol Vis. 2008, 14: 2528-2534.PubMed CentralPubMedGoogle Scholar
- Tobi SE, Gilbert M, Paul N, McMillan TJ: The green tea polyphenol. epigallocatechin-3-gallate, protects against the oxidative cellular and genotoxic damage of UVA radiation. Int J Cancer. 2002, 102: 439-444. 10.1002/ijc.10730.View ArticlePubMedGoogle Scholar
- Mantena SK, Meeran SM, Elmets CA, Katiyar SK: Orally administered green tea polyphenols prevent ultraviolet radiation-induced skin cancer in mice through activation of cytotoxic T cells and inhibition of angiogenesis in tumors. J Nutr. 2005, 135: 2871-2877.PubMedGoogle Scholar
- Berwick M, Armstrong BK, Ben-Porat L, Fine J, et al: Sun exposure and mortality from melanoma. J Natl Cancer Inst. 2005, 97: 195-199. 10.1093/jnci/dji019.View ArticlePubMedGoogle Scholar
- Smedby KE, Hjalgrim H, Melbye M, Torrång A, et al: Ultraviolet radiation exposure and risk of malignant lymphomas. J Natl Cancer Inst. 2005, 97: 199-209. 10.1093/jnci/dji022.View ArticlePubMedGoogle Scholar
- Meunier L, Raison-Peyron N, Meynadier J: ['UV-induced immunosuppression and skin cancers']. Rev Med Interne. 1998, 19: 247-254. 10.1016/S0248-8663(97)89326-5.View ArticlePubMedGoogle Scholar
- Vojnikovic B, Njiric S, Coklo M, Spanjol J: Ultraviolet sun radiation and incidence of age-related macular degeneration on Croatian Island. Rab Coll Antropol. 2007, 31 (Suppl 1): 43-44.PubMedGoogle Scholar
- Vojnikovic B, Synek S, Mićović V, Telezar M, et al: Epidemiological study of sun exposure and visual field damage in children in Primorsko-Goranska County -- The risk factors of earlier development of macular degeneration. Coll Antropol. 2010, 34 (Suppl 2): 57-59.PubMedGoogle Scholar
- Hyman LG, Lilienfeld AM, Ferris FL, Fine SL: Senile macular degeneration: A case-control study. Am J Epidemiol. 1983, 118: 213-227.PubMedGoogle Scholar
- Millen AE, Voland R, Sondel SA, Parekh N, et al: Vitamin D status and early age-related macular degeneration in postmenopausal women. Arch Ophthalmol. 2011, 129: 481-489. 10.1001/archophthalmol.2011.48.PubMed CentralView ArticlePubMedGoogle Scholar
- Holick MF: Vitamin D deficiency. N Engl J Med. 2007, 357: 266-281. 10.1056/NEJMra070553.View ArticlePubMedGoogle Scholar
- Plum LA, DeLuca HF: Vitamin D. disease and therapeutic opportunities. Nat Rev Drug Discov. 2010, 9: 941-955. 10.1038/nrd3318.View ArticlePubMedGoogle Scholar
- Toner CD, Davis CD, Milner JA: The vitamin D and cancer conundrum: Aiming at a moving target. J Am Diet Assoc. 2010, 110: 1492-1500. 10.1016/j.jada.2010.07.007.View ArticlePubMedGoogle Scholar
- Krishnan AV, Trump DL, Johnson CS, Feldman D: The role of vitamin D in cancer prevention and treatment. Endocrinol Metab Clin North Am. 2010, 39: 401-418. 10.1016/j.ecl.2010.02.011.View ArticlePubMedGoogle Scholar
- Elmadfa I, Meyer AL: Body composition changing physiological functions and nutrient requirements of the elderly. Ann Nutr Metab. 2008, 52 (Suppl 1): 2-5.View ArticlePubMedGoogle Scholar
- Zadshir A, Tareen N, Pan D, Norris K, et al: The prevalence of hypovitaminosis D among US adults: Data from the NHANES III. Ethn Dis. 2005, 15 (4 Suppl 5): S5-97-S5-101.Google Scholar