Skip to main content
Ophthalmology and Therapy logoLink to Ophthalmology and Therapy
. 2021 Nov 2;11(1):125–133. doi: 10.1007/s40123-021-00402-w

Association of the HtrA1 rs11200638 Polymorphism with Neovascular Age-Related Macular Degeneration in Indonesia

Supanji Supanji 1,2,3,4,, Ayudha Bahana Ilham Perdamaian 1,2, Dewi Fathin Romdhoniyyah 1,2, Muhammad Bayu Sasongko 1,2,4, Angela Nurini Agni 1,2,4, Firman Setya Wardhana 1,2,4, Tri Wahyu Widayanti 1,2,4, Muhammad Eko Prayogo 1,2,4, Chio Oka 5, Masashi Kawaichi 5
PMCID: PMC8770728  PMID: 34727349

Abstract

Introduction

The aim of this study was to investigate the association of the HtrA1 rs11200638 polymorphism with neovascular age-related macular degeneration (nAMD) in Indonesia.

Methods

This case–control study included 80 patients with nAMD and 85 controls. Demographic parameters and whole blood were collected from each participant. Genomic DNA was extracted and used to assess the rs11200638 genotype by PCR and restriction enzyme digestion. Associations between the HtrA1 rs11200638 polymorphism and other risk factors for susceptibility to nAMD were assessed using the logistic regression model.

Results

Significant allelic associations between the HtrA1 polymorphism and nAMD were detected (odds ratio [OR] 8.67; 95% confidence interval [CI] 4.88–15.41; P < 0.001). Genotype analysis showed a statistical difference between the nAMD group and the control group (P < 0.001). In the multiple adjusted logistic regression model, people with the AA genotype were more likely to have nAMD although there was a wide confidence interval (OR 19.65; 95% CI 4.52–85.38; P < 0.001).

Conclusion

Our findings show that the risk of nAMD increased in the presence of risk alleles of HtrA1 rs11200638.

Keywords: Age-related macular degeneration, HtrA1, Polymorphism

Key Summary Points

The HtrA1 rs11200638 polymorphism is associated with the risk of neovascular age-related macular degeneration (nAMD) in Indonesian patients.
The presence of hypertension compounds the genetic risk for nAMD.
The results of this study are in accordance with those of other epidemiological studies involving patients of different ethnicity in supporting the hypothesis that HtrA1 contributes to the risk of nAMD.

Introduction

Age-related macular degeneration (AMD) is a progressive degenerative disease affecting the macula and is among the five leading causes of vision loss worldwide [1]. AMD results from a sequence of deterioration processes that occur in photoreceptors, the retinal pigment epithelium (RPE), and Bruch’s membrane (BM). These result in an irreversible lesion that manifests clinically as geographic atrophy (dry AMD) or they cause aberrant blood vessels originating from the choroid to leak at the macular region (neovascular AMD [nAMD]). If untreated, these conditions can lead to permanent vision loss. It is notable that that not all aged individuals follow the similar processes and develop AMD, implying a genetic-driven pathophysiology of the disease process.

High-temperature requirement A1 (HtrA1) is one of important genetic factors in nAMD etiology, in addition to Age-related maculopathy susceptibility 2 (ARMS2) and Complement factor H (CFH). The HtrA1 genetic variant rs11200638 is located precisely at the HtrA1 promoter. The three most strongly associated loci identified to date are located on chromosome one (1q31), CFH (rs1061170), chromosome 10 (10q26), ARMS2 (rs10490924; del443ins54), and HtrA1 (rs11200638) [2]. In an earlier study, we have shown that the ARMS2 rs10490924 and del443ins54 variants show a strong association with nAMD in Indonesia [3]. The position of the rs11200638 polymorphism in the genome is very close to those of the rs10490924 and del443ins54 polymorphisms [47]. These single nucleotide polymorphisms segregate together during chromosome crossing-over, resulting in almost all cases having the same status (wildtype, carrier, and mutant homozygote) with each other. Research has also shown that these two loci are highly predictive (i.e., in near perfect linkage disequilibrium [D′ > 0.98]) for AMD [7]. Therefore, investigation of the presence of the rs11200638 polymorphism in Indonesia will provide a large overview of the epidemiology and pathogenesis of nAMD.

Replication studies on different ethnic populations show consistent results [720], but there are no reports on Indonesian populations. In addition to CFH and ARMS2 [3], no other genetics factors have been examined in Indonesia. The aim of this study was to investigate the associations of HtrA1 with nAMD in the Indonesian population, of which the majority ethnic group is the Asian Malay group.

Methods

This case–control study included participants aged ≥ 45 years. Between 2016 and 2018 we recruited 80 patients with nAMD and 85 age-matched control participants into this study.The purpose of the research and the procedures were fully explained prior to the participants signing an informed consent form and undergoing blood collection and comprehensive ophthalmologic examinations. The study was approved by the Medical and Health Research Ethics Committee of the Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada (ethics number: KE/FK/864/EC [5 August 2016]; KE/FK/1109/EC/2017 [12 October 2017]; KE/FK/1108/EC/2018 [18 October 2018]). This study adhered to the ethical standards of the Declaration of Helsinki of 1964 and its later amendments. The inclusion/exclusion criteria and the criteria for AMD diagnosis were as reported previously [3].

Genotyping

The procedures followed for extraction of the genomic DNA and gene amplification were as described previously [3]. The primer sequences were: forward 5′-TTCCCATCTGAGACCGCT-3′ and reverse 5′-GGAAAGTTCCTGCAAATCG-3′ [17]. The PCR cycling conditions were: 1 cycle of 95 °C for 10 min, followed by 35 cycles of 95 °C for 45 s, 55 °C for 45 s, 72 °C for 45 s, with a final cycle of 72 °C for 5 min. For genotype discrimination, the 400-bp amplicon was digested with 5 U of EagI restriction enzyme (New England BioLabs, Ipswich. MA, USA) by an overnight incubation at 37 °C. Following electrophoresis in 2% agarose gels, the DNA bands were visualized with fluorosafe DNA staining (1st Base Asia, Selangor, Malaysia; Cat. No. BIO-5170-1 ml). The undigested samples were determined to be the AA genotype, whereas the partially or totally digested samples were designated the AG or GG genotype. Sanger sequencing was used to verify each genotype (AA; GA; GG) in the nAMD patient and control groups.

Statistical Analysis

A complete case analysis of those with complete covariate and genetic data was performed. Statistical analysis, including the Hardy–Weinberg equilibrium (HWE) test and multivariable logistic regression, were performed using STATA® version 16 (StataCorp, College Station, TX, USA) as reported previously [3].

Results

Blood samples were collected from 80 patients with nAMD and 85 controls, all of whom were Indonesian. The cases and controls were similar in terms of demographic data (Table 1). The average age of the patient and control groups was 67.3 and 68.2 years, respectively; 50.0 and 54.0% of the patient and control groups were female; and the mean body mass index (BMI) for AMD cases and controls was 23.6 and 22.2 kg/m2, respectively. Most participants were predominantly working indoors with less exposure to sunlight (72% for both AMD cases and controls). The number of AMD patients with high blood pressure was significantly higher in the nAMD group than in the controls.

Table 1.

Demographic characteristics of study participants

Demographic characteristics Case group (n = 80) Control group (n = 85) P
Age, years 0.49
 Range (median) 45–82 (67.5) 49–99 (69)
 Mean ± SD 67.3 ± 8.4 68.2 ± 7.8
Sex 0.55
 Male 33 (41.0%) 39 (46.0%)
 Female 47 (59.0%) 46 (54.0%)
BMI (kg/m2) 0.02
 Range (median) 16.7–37.1 (23.3) 15.2–36.8 (21.5)
 Mean ± SD 23.6 ± 3.5 22.2 ± 4.2
Sunlight exposure 0.92
 Indoor workplace 58 (72.0%) 61 (72.0%)
 Outdoor workplace 22 (28.0%) 24 (28.0%)
Smoking 0.75
 Never 61 (76.0%) 63 (74.0%)
 Ever 19 (24.0%) 22 (26.0%)
Blood pressure  < 0.001
 Normal blood pressure 44 (55.0%) 68 (80.0%)
 High blood pressure 36 (45.0%) 17 (20.0%)

BMI Body mass index, nAMD neovascular age-related macular degeneration, SD standard deviation

The allele and genotype distributions of the HtrA1 rs11200638 polymorphism are summarized in Table 2. Comparison of the cases and controls revealed a statistically significant difference in the allele or genotype distributions of HtrA1 rs11200638 (P < 0.001). The A allele frequency was 88.7% in nAMD patients and 42.2% in controls. There was a higher percentage of AA genotypes in the nAMD group (77.4%) than in the control group (22.6%), and the opposite was true for AG genotypes, which were less frequent in the nAMD group (21.8%) than in the control group (76.2%). The unconditional logistic regression analysis showed that the A allele was associated with an increased risk of nAMD (odds ratio [OR] 8.67; 95% confidence Interval [CI] 4.88–15.41; P < 0.001). Similarly, an association was found in adjusted logistic regression model with a per-A-allele OR of 3.73 (95% CI 1.11–12.56; P = 0.034).

Table 2.

Distribution of alleles and genotypes of the HtrA1 rs11200638 polymorphism

Allele Allele distribution, n (%) P Genotype Genotype distribution, n (%) P value P (HWE)
Case group Control group Case group Control group
G 18 (11.3%) 89 (57.8%)  < 0.001 GG 3 (11.5%) 23 (88.5%)  < 0.001 0.204
A 142 (88.7%) 65 (42.2%) GA 12 (21.8%) 43 (76.2%)
AA 65 (77.4%) 19 (22.6%)

CI Confidence interval, HWE Hardy–Weinberg equilibrium in control group, OR odds ratio

Individuals with the AA genotype were found to have strong association with nAMD in the unadjusted logistic regression analysis (OR 26.23; 95% CI: 7.10–96.93; P < 0.001), age- and sex-adjusted logistic regression analysis (OR 26.85; 95% CI 7.10–101.49), and the multiple variable logistic regression analysis (OR 19.65; 95% CI 4.52–85.38; P < 0.001) (Table 3). Additionally, the multiple variable logistic regression analysis showed that hypertension was associated with an increased risk for nAMD (OR 3.4; 95% CI 1.30–8.95; P = 0.013). No significant association was found between BMI and smoking with nAMD in the multiple variable logistic regression analysis (P ≥ 0.05).

Table 3.

Association between the HtrA1 rs11200638 polymorphism and nAMD in an Indonesian population

Genotype Crude OR (95% CI) P Adjusted OR (95% CI)a P Adjusted OR (95% CI)b P
GG 1.00 (reference) 1.00 (reference) 1.00 (reference)
GA 2.14 (0.55–8.36) 0.274 1.80 (0.45–7.22) 0.409 1.37 (0.30–6.21) 0.683
AA 26.23 (7.10–96.93)  < 0.001 26.85 (7.10–101.49)  < 0.001 19.65 (4.52–85.38)  < 0.001

aAdjusted for age and sex

bAdjusted for smoking, body mass index, and blood pressure

Discussion

We identified an association between the HtrA1 rs11200638 polymorphism and nAMD in an Indonesian population. However, these results should be interpreted cautiously due to the wide confidence interval, possibly due to the small sample size [21]. The findings from this gender and age-matched case–control study suggest that either A alleles or AA genotypes of the HtrA1 rs11200638 polymorphism were associated with the onset of nAMD. Patients with the AA genotype were more prone to have AMD by nearly 26-fold. The association remained strong after data adjustment with smoking, BMI, and blood pressure. People with the AA genotype had a 20-fold increased risk of having nAMD than those with the GG genotype. This finding is similar to results from other studies in other ethnic groups [12, 1719, 2224].

An association between HtrA1 and nAMD has also been found in other countries (Table 4). In Southeast Asia, similar results were also reported in Malaysia [23].

Table 4.

Results from studies on the association between the HtrA1 polymorphism and nAMD

References Location Ethnicity Sample OR (95% CI)
DeWan et al. [8] China Chinese 96 cases and 130 controlsa ORhom = 10 (4.38–22.82)
Mori et al. [13] Japan East Asian 123 cases and 133 controlsa ORhom = 5.59 (2.66–11.76)
Lin et al. [14] Taiwan Taiwanese Chinese 95 cases and 90 controlsb ORhet = 1.97 (0.81–4.81), ORhom = 8.59, (3.28–22.49)
Yan et al. [25] China Han Chinese 109 cases, 150 controls OR GA + AA = 2.02 (1.20–3.39)
Tam et al. [15] China Chinese 163 cases and 183 controlsb

ORhet = 1.88 (0.96–3.66)

ORhom = 7.6 (3.94–14.51)

Gong et al. [16] China Chinese 99 cases and 73 controls ORhom = 4.19 (2.28–7.70)
Lana et al. [17] Brazil South American 204 cases and 166 controls ORhom = 25.97 ± 4.42 (16.75–34.32)
Abbas and Azzazy [18] Egypt Arabic 26 cases and 20 controls ORhet+hom = 6 (1.4–24.7)
Kaur et al. [19] India East Asian 250 cases and 250 controls ORhom = 6.69 (3.69–12.10)
Matušková et al. [24] Czech Republic Czech population 307 cases and 191 controls OR = 16.02 (5.4–47.54)
Francis et al. [20] Northern Europe Caucasian 333 cases and 171 controlsa ORhom = 3.973 (2.928–5.390)
Gili et al. [9] Spain Spanish Caucasian 187 cases and 196 controls ORhom = 6.44 (3.62–11.47)
Yang et al. [10] USA Caucasian 581 cases and 309 controls ORhet = 1.90 (1.40, 2.58), ORhom = 7.51 (3.75, 15.04)
Gibbs et al. [7] USA Caucasian 342 cases and 215 controlsb
Chen et al. [12] USA Caucasian 774 cases and 294 controlsb; 192 bilateral nAMD, 278 unilateral nAMD, 234 bilateral GA, 72 unilateral GA

Bil ORhom = 10.95 (5.26–22.77)

Uni ORhom = 5.62 (2.65–11.90)

DeAngelis et al. [11] USA Caucasian 73 sib pairsc ORhom = 98.41 (13.45–720.08 P < 10−5) ORhet = 6.05 (2.13–17.21; P < 10−3)
Mohamad et al. [23] Malaysia Asian 145 cases, 145 controls ORhom = 1.52 (1.07–2.15)

GA Geographic atrophy

aAge-matched controls

bAge-matched and sex-matched controls

cControl was a sibling of each patient

The HtrA1 rs11200638 polymorphism is widely reported to be highly associated with the risk for nAMD worldwide. Epidemiological studies have shown that, compared to people with the GG genotype, those with the AA genotype in the Chinese population have a tenfold increased risk for nAMD [8] and their Caucasian counterparts have a 7.5-fold increased risk [10]. This higher risk of AA genotype for nAMD was reconfirmed in other studies involving Caucasian populations [7, 12]. The A allele and AA genotypes have also associated with the dry forms of AMD in addition to nAMD in Chinese Taiwanese subjects [14]. Another Chinese study showed a 7.6-fold increased risk in subjects with the A allele, with smoking status compounding the risk to 15.7-fold [15]. Studies in Middle East [18], India [19], and Brazil [17] have shown similar results. Individuals with the AG and AA genotype have been found to have a 2.2- and 8.7-fold higher risk of developing AMD, respectively, when compared with those who carry the GG genotype [26].

The HtrA1 gene encodes a serine protease, and this protease is produced by many tissues, including the RPE [27]. This protein plays an important role in the breakdown of many components of the extracellular matrix (ECM) [2729]. It has been hypothesized that these breakdowns of ECM proteins is related to development of neovascularization [27, 29].

A high concentration of HtrA1 has been found in the aqueous humor of nAMD patients, with subsequent decrease following intravitreal injections of 0.5 mg ranibizumab [31]. The HtrA1 polymorphism was also reported to be associated with the AMD onset in the second eye [12]. The association of the HtrA1 polymorphism to the response to ranibizumab treatment in nAMD has not been consistent in studies [23, 26, 32, 33]

The main limitations of our study are the small sample size and the hospital-based design. The design may have only captured the advanced profiles of AMD patients, thereby masking the true representation of AMD in general population. Future studies should include larger and more diverse sample sizes to allow subanalyses based on ethnic origin in Indonesia. Identifying other target genes related to AMD in the Indonesian population is also warranted as this study is only the second study on the genetic factors associated with nAMD and only the second study on AMD in Indonesia.

Conclusions

We identified that the HtrA1 rs11200638 polymorphism is significantly associated with risk of nAMD albeit with a wide confidence interval.

Acknowledgements

We sincerely thank the participants of this study.

Funding

The journal’s Rapid Service Fees, were financially supported by the Publishers and Publication Board (Badan Penerbit dan Publikasi; BPP) of Gadjah Mada University. The study was supported by Faculty of Medicine, Public Health, and Nurse (FK-KMK), Gadjah Mada University through the DAMAS research fund 2021 (No.: 269/UNI1/FKKMK/PPKE/PT/2021).

Editorial Assistance

Editorial assistance in the preparation of this article was provided by Klinik Bahasa, Office of Research and Publication, Faculty of Medicine Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.

Authorship

All named authors meet the International Committee of Medical Journal Editors (ICMJE) criteria for authorship for this article, take responsibility for the integrity of the work as a whole, and have given their approval for this version to be published.

Author Contributions

Supanji Supanji (Principal Investigator): conceptualization, methodology, research funding application, data collection and investigation, writing—reviewing and editing, and supervision. Ayudha Bahana Ilham: data collection and investigation, and writing—original draft. Dewi Fathin Romdhoniyyah: data collection and investigation, data analysis and interpretation, and writing—original draft. Muhammad Bayu Sasongko: data collection and investigation, data analysis and interpretation, writing—reviewing, and editing. Angela Nurini Agni: data collection and investigation, writing—reviewing, and editing. Firman Setya Wardhana: data investigation, writing—reviewing, and editing. Tri Wahyu Widayanti: data investigation, writing—reviewing and editing. Muhammad Eko Prayogo: data investigation, writing—reviewing, and editing. Chio Oka: conceptualization, data interpretation, writing—reviewing, and editing. Masashi Kawaichi: conceptualization, data interpretation, writing—reviewing, and editing. All authors read and approved the final manuscript.

Disclosures

Supanji Supanji, Ayudha Bahana Ilham Perdamaian, Dewi Fathin Romdhoniyyah, Muhammad Bayu Sasongko, Angela Nurini Agni, Firman Setya Wardhana, Tri Wahyu Widayanti, Muhammad Eko Prayogo, Chio Oka, Masashi Kawaichi all declare they have nothing to disclose.

Compliance with Ethics Guidelines

The purpose of the research and the procedures were fully explained prior to the participants signing an informed consent form and undergoing blood collection and comprehensive ophthalmologic examinations. The study was approved by the Medical and Health Research Ethics Committee of the Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada (ethics number: KE/FK/864/EC [5 August 2016]; KE/FK/1109/EC/2017 [12 October 2017]; KE/FK/1108/EC/2018 [18 October 2018]).

Data Availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  • 1.Flaxman SR, et al. Global causes of blindness and distance vision impairment 1990–2020: a systematic review and meta-analysis. Lancet Glob Health. 2017;5(12):e1221–e1234. doi: 10.1016/S2214-109X(17)30393-5. [DOI] [PubMed] [Google Scholar]
  • 2.Fritsche LG, et al. A large genome-wide association study of age-related macular degeneration highlights contributions of rare and common variants. Nat Genet. 2016;48(2):134–143. doi: 10.1038/ng.3448. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Supanji S, et al. Associations of arms2 and cfh gene polymorphisms with neovascular age-related macular degeneration. Clin Ophthalmol. 2021;15:1101–1108. doi: 10.2147/OPTH.S298310. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Fritsche LG, et al. Age-related macular degeneration is associated with an unstable ARMS2 (LOC387715) mRNA. Nat Genet. 2008;40:892. doi: 10.1038/ng.170. [DOI] [PubMed] [Google Scholar]
  • 5.Wang G, et al. Analysis of the indel at the ARMS2 3’UTR in age-related macular degeneration. Hum Genet. 2010;127(5):595–602. doi: 10.1007/s00439-010-0805-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Friedrich U, et al. Risk-and non-risk-associated variants at the 10q26 AMD locus influence ARMS2 mRNA expression but exclude pathogenic effects due to protein deficiency. Hum Mol Genet. 2011;20(7):1387–1399. doi: 10.1093/hmg/ddr020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Gibbs D, et al. Further mapping of 10q26 supports strong association of HTRA1 polymorphisms with age-related macular degeneration. Vis Res. 2008;48(5):685–689. doi: 10.1016/j.visres.2007.10.022. [DOI] [PubMed] [Google Scholar]
  • 8.DeWan A, et al. HTRA1 promoter polymorphism in wet age-related macular degeneration. Science. 2006;314(5801):989–992. doi: 10.1126/science.1133807. [DOI] [PubMed] [Google Scholar]
  • 9.Gili P, et al. Gene polymorphisms associated with an increased risk of exudative age-related macular degeneration in a Spanish population. Eur J Ophthalmol. 2021 doi: 10.1177/11206721211002698. [DOI] [PubMed] [Google Scholar]
  • 10.Yang Z, et al. A variant of the HTRA1 gene increases susceptibility to age-related macular degeneration. Science. 2006;314(5801):992–993. doi: 10.1126/science.1133811. [DOI] [PubMed] [Google Scholar]
  • 11.DeAngelis MM, et al. Alleles in the HtrA serine peptidase 1 gene alter the risk of neovascular age-related macular degeneration. Ophthalmology. 2008;115(7):1209–1215.e7. doi: 10.1016/j.ophtha.2007.10.032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Chen H, et al. Association of HTRA1 polymorphism and bilaterality in advanced age-related macular degeneration. Vis Res. 2008;48(5):690–694. doi: 10.1016/j.visres.2007.10.014. [DOI] [PubMed] [Google Scholar]
  • 13.Mori K, et al. Association of the HTRA1 gene variant with age-related macular degeneration in the Japanese population. J Hum Genet. 2007;52(7):636–641. doi: 10.1007/s10038-007-0162-1. [DOI] [PubMed] [Google Scholar]
  • 14.Lin JM, et al. HTRA1 polymorphism in dry and wet age-related macular degeneration. Retina. 2008;28(2):309–313. doi: 10.1097/IAE.0b013e31814cef3a. [DOI] [PubMed] [Google Scholar]
  • 15.Tam POS, et al. HTRA1 variants in exudative age-related macular degeneration and interactions with smoking and CFH. Investig Ophthalmol Vis Sci. 2008;49(6):2357–2365. doi: 10.1167/iovs.07-1520. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Gong Y, et al. Association of HTRA1 and CFH gene polymorphisms with age-related macular degeneration in Ningbo, China. Int Ophthalmol. 2021;41(3):995–1002. doi: 10.1007/s10792-020-01655-3. [DOI] [PubMed] [Google Scholar]
  • 17.Lana TP, et al. Association of HTRA1 rs11200638 with age-related macular degeneration (AMD) in Brazilian patients. Ophthalmic Genet. 2018;39(1):46–50. doi: 10.1080/13816810.2017.1354382. [DOI] [PubMed] [Google Scholar]
  • 18.Abbas RO, Azzazy HME. Association of single nucleotide polymorphisms in CFH, ARMS2 and HTRA1 genes with risk of age-related macular degeneration in Egyptian patients. Ophthalmic Genet. 2013;34(4):209–216. doi: 10.3109/13816810.2012.762934. [DOI] [PubMed] [Google Scholar]
  • 19.Kaur I, et al. Variants in the 10q26 gene cluster (LOC387715 and HTRA1) exhibit enhanced risk of age-related macular degeneration along with CFH in Indian patients. Investig Ophthalmol Vis Sci. 2008;49(5):1771–1776. doi: 10.1167/iovs.07-0560. [DOI] [PubMed] [Google Scholar]
  • 20.Francis PJ, Zhang H, DeWan A, Hoh J, Klein ML. Joint effects of polymorphisms in the HTRA1, LOC387715/ARMS2, and CFH genes on AMD in a Caucasian population. Mol Vis. 2008;14:1395–1400. http://www.molvis.org/molvis/v14/a168. [PMC free article] [PubMed]
  • 21.Hazra A. Using the confidence interval confidently. J Thorac Dis. 2017;9(10):4125–30. [DOI] [PMC free article] [PubMed]
  • 22.Tian J, et al. Association of genetic polymorphisms and age-related macular degeneration in Chinese population. Investig Ophthalmol Vis Sci. 2012;53(7):4262–4269. doi: 10.1167/iovs.11-8542. [DOI] [PubMed] [Google Scholar]
  • 23.Mohamad NA, et al. Association of HTRA1 and ARMS2 gene polymorphisms with response to intravitreal ranibizumab among neovascular age-related macular degenerative subjects. Hum Genomics. 2019;13(1):13. doi: 10.1186/s40246-019-0197-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Matušková V, et al. An association of neovascular age-related macular degeneration with polymorphisms of CFH, ARMS2, HTRA1 and C3 genes in Czech population. Acta Ophthalmol. 2020;98(6):e691–e699. doi: 10.1111/aos.14357. [DOI] [PubMed] [Google Scholar]
  • 25.Yang X, Hu J, Zhang J, Guan H. Polymorphisms in CFH, HTRA1 and CX3CR1 confer risk to exudative age-related macular degeneration in Han Chinese. Br J Ophthalmol. 2010;94(9):1211–1214. doi: 10.1136/bjo.2009.165811. [DOI] [PubMed] [Google Scholar]
  • 26.Tong Y, et al. LOC387715/HTRA1 gene polymorphisms and susceptibility to age related macular degeneration: a HuGE review and meta-analysis. Mol Vis. 2010;16:1958–1981. [PMC free article] [PubMed] [Google Scholar]
  • 27.Lin MK, et al. HTRA1, an age-related macular degeneration protease, processes extracellular matrix proteins EFEMP1 and TSP1. Aging Cell. 2018;17(4):e12710. doi: 10.1111/acel.12710. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Nakayama M, Iejima D, Akahori M, Kamei J, Goto A, Iwata T. Overexpression of HtrA1 and exposure to mainstream cigarette smoke leads to choroidal neovascularization and subretinal deposits in aged mice. Investig Ophthalmol Vis Sci. 2014;55(10):6514–6523. doi: 10.1167/iovs.14-14453. [DOI] [PubMed] [Google Scholar]
  • 29.Yi Chen C, et al. N-Terminomics identifies HtrA1 cleavage of thrombospondin-1 with generation of a proangiogenic fragment in the polarized retinal pigment epithelial cell model of age-related macular degeneration. Matrix Biol. 2018;70:84–101. doi: 10.1016/j.matbio.2018.03.013. [DOI] [PubMed] [Google Scholar]
  • 30.Vierkotten S, Muether PS, Fauser S. Overexpression of HTRA1 leads to ultrastructural changes in the elastic layer of Bruch’s membrane via cleavage of extracellular matrix components. PLoS ONE. 2011;6(8):e22959. doi: 10.1371/journal.pone.0022959. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Tosi GM, et al. HTRA1 and TGF-β1 concentrations in the aqueous humor of patients with neovascular age-related macular degeneration. Investig Ophthalmol Vis Sci. 2017;58(1):162–167. doi: 10.1167/iovs.16-20922. [DOI] [PubMed] [Google Scholar]
  • 32.Kubicka-Trzaska A, Karska-Basta I, Dziedzina S, Sanak M, Romanowska-Dixon B. HTRA1 rs11200638 and ARMS2 rs10490924 gene polymorphisms and response to intravitreal anti-VEGF treatment in patients with exudative age-related macular degeneration. Klin Oczna. 2019;2019(1):34–40. doi: 10.5114/ko.2019.84560. [DOI] [Google Scholar]
  • 33.Zhou YL, et al. Association between polymorphism rs11200638 in the HTRA1 gene and the response to anti-VEGF treatment of exudative AMD: a meta-analysis. BMC Ophthalmol. 2017 doi: 10.1186/s12886-017-0487-2. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.


Articles from Ophthalmology and Therapy are provided here courtesy of Springer

RESOURCES