Literature DB >> 20062564

An association study of SERPING1 gene and age-related macular degeneration in a Han Chinese population.

Fang Lu1, Peiquan Zhao, Yinchuan Fan, Shibo Tang, Jianbin Hu, Xiaoqi Liu, Xian Yang, Yiye Chen, Tao Li, Chuntao Lei, Jiyun Yang, Ying Lin, Shi Ma, Chunyong Li, Yi Shi, Zhenglin Yang.   

Abstract

PURPOSE: Single nucleotide polymorphisms (SNPs) in the complement component 1 inhibitor (SERPING1) gene have been shown to be significantly associated with age-related macular degeneration (AMD) in Caucasian populations. A replication study of an association between these SNPs and AMD in a Chinese population is reported in this study.
METHODS: Six SNPs, including rs2511990, rs1005510, rs11546660, rs2511989, rs2511988, and rs4926 in SERPING1 were genotyped in a Han Chinese subject group using the SNaPshot method of ABI. This subject group was composed of 194 patients with choroidal neovascularization (CNV or wet) AMD, 78 patients with soft drusen, and 285 matched controls. P values of the SNPs were calculated using an additive model. Haplotype frequencies between cases and controls were compared by chi2 analysis. The haplotype analysis was performed using Haploview 4.0.
RESULTS: None of the six SNPs showed significant association with AMD. None of the major haplotypes were observed to be significantly associated with AMD or choroidal neovascularization AMD (CNV) after a stringent Bonferroni correction.
CONCLUSIONS: We demonstrate that SNPs in SERPING1 are not significantly associated with AMD in the mainland Han Chinese population.

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Mesh:

Substances:

Year:  2010        PMID: 20062564      PMCID: PMC2803124     

Source DB:  PubMed          Journal:  Mol Vis        ISSN: 1090-0535            Impact factor:   2.367


Introduction

Age-related macular degeneration (AMD) is a leading cause of blindness in the elderly population, characterized as chronic and progressive degeneration of photoreceptors, the underlying retinal pigment epithelium (RPE), Bruch’s membrane, and possibly, the choriocapillaris in the macula [1,2]. AMD is divided clinically into dry and wet AMD. Patients with dry AMD present with cellular debris (drusen) in or under the retinal pigment epithelium (RPE), irregularities in the pigmentation of the RPE, or geographic atrophy (GA). Patients with exudative or wet AMD are characterized by serous detachment of the RPE or choroidal neovascularization (CNV), or both [1,2]. Advanced AMD, including geographic atrophy or exudative disease, can cause severe vision loss. It is believed that AMD is a complex disorder caused by the interaction of multiple genetic and environmental risk factors [3-7]. Identification of AMD related genes has been tremendously successful. Complement pathway genes, including complement factor H (CFH) [2,8-13], C2/CFB [14-16], and C3 [15-17], have been confirmed by many replication studies. The LOC387715/HTRA1 gene has also been verified as a major AMD locus in different populations [18-24]. Recently, SNPs in the serpin peptidase inhibitor, clade G (C1 inhibitor) member 1 (SERPING1) gene showed highly significant genotypic association with age-related macular degeneration in two Caucasian populations [25]. Unfortunately, this finding could not be replicated by other studies [26-34]. To further analyze the association of SERPING1 and AMD, we investigated the association between SNPs in this gene and AMD in a mainland Han Chinese population.

Methods

Subjects

The Institutional Review Boards of the Sichuan Provincial People’s Hospital, Xinhua Hospital of Shanghai Jiao Tong University, and Zhongshan Ophthalmic Center, China approved this study. All subjects provided informed consent before participation in the study. AMD patients and normal age-matched controls, including individuals with a normal eye examination (individuals age 60 years or older with no drusen or RPE changes), were recruited in the ophthalmology clinic at Sichuan Provincial People’s Hospital, Xinhua Hospital of Shanghai Jiao Tong University, and Zhongshan Ophthalmic Center, China. All participants went through a standard examination protocol as in the previous description [19,24,27]. Grading was performed using a standard grid classification suggested by the International ARM Epidemiological Study Group for age-related maculopathy (ARM) and the age-related macular degeneration group [27]. All abnormalities in the macula were characterized according to the type, size and number of drusen, and hyperpigmentation or hypopigmentation, as well as AMD stages as defined by AREDS 1–5 stages. Patients with clinical features of AMD and CNV (CNV from other causes was excluded), with or without drusen, were diagnosed as wet AMD patients. Patients with only soft drusen were diagnosed as drusen (dry AMD) patients. In total, 194 wet AMD patients (Eight from Zhongshan Ophthalmic Center, 28 from Xinhua Hospital, 158 from of the Sichuan Provincial People’s Hospital), 78 soft drusen patients (all from of the Sichuan Provincial People’s Hospital), and 285 normal matched controls (Eight from Zhongshan Ophthalmic Center, 30 from Xinhua Hospital and 247 from of the Sichuan Provincial People’s Hospital) were recruited. In the normal matched controls, all individuals underwent an eye exam, no signs of early AMD, such as soft drusen or irregular pigmentations of the RPE in the macular area, were observed. Clinical information about the cases and controls is listed in Table 1.
Table 1

Characteristics of amd cases and controls matched for ages and ethnicity.

SubjectTotal numberMaleFemaleAverage age
All AMD (CNV+drusen)
272
126
146
68.2±9.8
CNV
194
90
104
69.4±12.2
drusen
78
36
42
68.7±8.7
Controls28513215368.4±7.2

Selection of tag and functional SNPs

We used the data of the Han Chinese Beijing population in HapMap3 of the international HapMap project and previous studies to select tag SNPs or functional SNPs in SERPING1 [26,28] for this study. Six SNPs were selected for genotyping, including rs2511990 upstream of the transcription start site (−2877 bases), rs1005510 in intron 2, rs11546660 (A56V) in exon 3, rs2511989, rs2511988 in intron 6, and rs4926 (M480V) in exon 8.

Genotyping

Blood from each subject was drawn and collected in an EDTA-containing tube. Genomic DNA was extracted from the blood by a Gentra Puregene Blood DNA kit (Minneapolis, MN). SNP genotyping was performed by the dye terminator-based SNaPshot method (Applied Biosystems, Foster City, CA). SNP analysis was performed on the ABI 3130 genetic analyzer (Applied Biosystems). Genotypes of the SNPs were determined by Genemapper software (Applied Biosystems). All SNPs reported in this manuscript had a genotyping success rate >96 percent and accuracy as judged by random re-genotyping of 10 percent of the samples in the subject group. Six SNPs in SERPING1 were genotyped. The PCR and SNaPshot primers are listed in Table 2.
Table 2

Genotyping primers.

SNPPCR Primer ForwardSnapshot Primer
rs2511989
F: TTCACAGCCTACCTTTCC
CCCTGGGTTTAATACAGGGGTTGTCAACTC
 
R: CAGCCTCAATCATAATACCA
rs2511990
F: AAGCTGGAGCTGAAACTG
GTTCTCTTCCCACTGGGAGCAGGTCTAGGATTTCTC
 
R: GGAAGAGGGATTCTGTGG
rs1005510
F: TTCTTACTACGAGGCACA
ATGTGGAAAATGTCCTGTACAAGAGAGTAATTTCTGACAGTGC
 
R: TAAATCAAGGAGCACAAG
rs2244169
F: TGGCGTGAACCCTGGAGA
CAGCCAGAAAAGTTTTACAAAGCACGTATATGAC
 
R: AGGTGGGAGGATTGCTTG
rs2511988
F: AGTGGGCTGGAACTTGGA
ATTGTGGGAGAGCTGCAGCTGCCCCACCTAGAAAATAAGAGATGCA
 R: GCATTGTGACAGAGGGTG

Haplotype analysis

Haplotype analysis was performed using Haploview 4.0. We performed the haplotype analysis following the instructions from the Broad Institute. If the genotype was not available, the genotype was set as 0.

Statistical analysis

Hardy–Weinberg equilibrium (HWE) for each SNP polymorphism was tested by the χ2 test with df=1. P values of the SNPs were calculated using an additive model. Haplotype frequencies between cases and controls were compared by χ2 analysis. The unadjusted odds ratios of the alleles and genotypes were estimated by the χ2 test. All statistical analyses were performed using the software SPSS, (SPSS, Chicago, IL) version 10.0 [18-24].

Results

Single nucleotide polymorphism analysis

All six SNPs selected were successfully genotyped and all of these SNPs were within HWE in both case (p>0.001, Table 3) and control groups (p>0.05, Table 3). The SNP frequencies in this study were similar to those of Han Chinese Beijing (HCB) available in HapMap3 in the International HapMap Project. None of the six SNPs showed significant association with AMD or subphenotypes of AMD including wet AMD or soft drusen, which are landmarks of early AMD even before a stringent Bonferroni correction (p≥0.05, Table 3). SNP rs2511989 was reported to be the most significant association of SNP in the SERPING1 gene with AMD in previous studies [25]. Although rs2511989 showed high polymorphism, no association between this SNP and AMD was observed in the Chinese population (p=0.76 for all AMD; p=0.61 for CNV AMD; p=0.77 for soft drusen).
Table 3

Association between subphenotypes of AMD ANS SNPS in SERPING1 in the Han Chinese subject group.

SNP (risk allele)Physical location (Chr.11)*PhenotypeGenotype countAllele frequencyHWETrend p-value
rs2511990
 (T)
57119284
CVN+Drusen
CC:211
CT:50
TT:10
0.13
0.003
0.59
 
 
CNV
CC:148
CT:35
TT:10
0.14
0.002
0.3
 
 
Drusen
CC:63
CT:15
TT:0
0.1
0.643
0.47
 
 
Control
CC:226
CT:51
TT:8
0.12
0.068

rs1005510
 (G)
57123798
CVN+Drusen
AA:140
AG:117
GG:15
0.27
0.135
0.44
 
 
CNV
AA:101
AG:81
GG:12
0.27
0.724
0.49
 
 
Drusen
AA:39
AG:36
GG:3
0.27
0.312
0.58
 
 
Control
AA:134
AG:131
GG:16
0.29
0.087

rs11546660
 (C)
57124043
CVN+Drusen
TT:249
CT:21
CC:0
0.04
0.506
0.05
 
 
CNV
TT:178
CT:16
CC:0
0.04
0.836
0.1
 
 
Drusen
TT:71
CT:5
CC:0
0.03
0.957
0.13
 
 
Control
TT:245
CT:35
CC:1
0.07
0.978

rs2511989
 (A)
57134901
CVN+Drusen
GG:198
AG:57
AA:5
0.13
0.706
0.76
 
 
CNV
GG:147
AG:42
AA:5
0.13
0.644
0.61
 
 
Drusen
GG:51
AG:15
AA:0
0.08
0.298
0.77
 
 
Control
GG:215
AG:63
AA:3
0.12
0.791

rs2511988
 (C)
57135746
CVN+Drusen
TT:155
CT:103
CC:14
0.25
0.557
0.99
 
 
CNV
TT:110
CT:73
CC:11
0.24
0.971
0.89
 
 
Drusen
TT:45
CT:30
CC:3
0.23
0.763
0.77
 
 
Control
TT:155
CT:118
CC:9
0.24
0.025

rs4926
 (A)
57138565
CVN+Drusen
GG:201
AG:65
AA:6
0.14
0.784
0.43
 
 
CNV
GG:147
AG:42
AA:5
0.13
0.644
0.7
 
 
Drusen
GG:54
AG:23
AA:1
0.16
0.689
0.25
  ControlGG:209AG:63AA:30.130.766

Haplotype association analysis

We then performed haplotype analysis using Haploview 4.0, and 14, 15, and 14 haplotypes were observed in the AMD-control, wet AMD-control, and drusen-control groups, respectively. We found that haplotype TGTGCG and haplotype CGCGCG were shown to have a significant difference between both AMD-control (p=0.0064, p=0.006, respectively, Table 4) and wet AMD-control groups (p=0.0042, p=0.025, respectively, Table 4). The haplotype CGTGCG was shown to have a significant difference between both AMD-control (p=0.0102, Table 4) and drusen-control (p=0.032, Table 4). In addition, the haplotype CGTGTA was shown to have a significant difference between wet AMD and controls (p=0.026, Table 4). But none of the haplotypes were shown to have a significant difference between cases and controls (p>0.05, Table 4) after a stringent Bonferroni correction. On the other hand, the haplotype CGTGCA was shown to be significantly associated with soft drusen in our subject group (p=7.87x10−5, Table 4) with frequencies of 0.11 in cases and 0.03 in controls, even after a stringent Bonferroni correction (p=0.0011, Table 4). This haplotype conferred a 3.72-fold (95% CI: 1.83–7.54) increased likelihood of dry AMD (Table 4). Additionally, the haplotype CGTACA was also shown to have a significant difference between both all AMD-control and wet AMD-control groups (p<0.05, Table 4) after a stringent Bonferroni correction. However, the frequency of this haplotype was low and it was absent in the controls.
Table 4

SERPING1 haplotype association with AMD in the Han Chinese subject group.

Type of AMD
Haplotype
Frequency
Haplotype association (p value)
Bufferoni correction
Odds ratio (95% CI)
  CaseControl (p value) 
All AMD
H1:CATGTG
0.63
0.57
0.0609
 
 
 
H2:CGTGTG
0.04
0.06
0.1091
 
 
 
H3:TGTGCG
0.06
0.02
0.0064
0.0900
 
 
H4:TGTACG
0.03
0.04
0.3301
 
 
 
H5:CGTGCA
0.04
0.03
0.2641
 
 
 
H6:CGTGCG
0.02
0.05
0.0102
0.1428
 
 
H7:CATGTA
0.02
0.03
0.4105
 
 
 
H8:CATATG
0.02
0.03
0.5689
 
 
 
H9:TATGTG
0.02
0.01
0.3679
 
 
 
H10:CGCGCA
0.02
0.01
0.5900
 
 
 
H11:CGTACA
0.03
0.00
0.0008
0.0112
 
 
H12:CGTACG
0.01
0.02
0.4070
 
 
 
H13:CGTGTA
0.01
0.02
0.0628
 
 
 
H14:CGCGCG
0.00
0.02
0.0060
0.0840
 
Wet AMD
H1:CATGTG
0.63
0.57
0.0717
 
 
 
H2:CGTGTG
0.03
0.06
0.0946
 
 
 
H3:TGTACG
0.04
0.04
0.7668
 
 
 
H4:TGTGCG
0.06
0.02
0.0042
0.0630
 
 
H5:CGTGCG
0.02
0.05
0.0620
 
 
 
H6:CATGTA
0.03
0.03
0.6366
 
 
 
H7:CGTGCA
0.02
0.03
0.5447
 
 
 
H8:CATATG
0.02
0.03
0.2741
 
 
 
H9:CGCGCA
0.02
0.01
0.5848
 
 
 
H10:TATGTG
0.02
0.01
0.3616
 
 
 
H11:CGTACG
0.01
0.02
0.6028
 
 
 
H12:CGCGCG
0.00
0.02
0.0256
0.3840
 
 
H13:CGTACA
0.03
0.00
0.0003
0.0045
 
 
H14:CATGCG
0.01
0.01
0.3513
 
 
 
H15:CGTGTA
0.00
0.02
0.0263
0.3950
 
Drusen AMD
H1:CATGTG
0.62
0.57
0.2702
 
 
 
H2:CGTGTG
0.04
0.06
0.5894
 
 
 
H3:CGTGCA
0.11
0.03
7.87E-05
1.10E-03
3.72 (1.83–7.54)
 
H4:CGTGCG
0.01
0.05
0.0317
0.4438
 
 
H5:TGTACG
0.01
0.04
0.0909
 
 
 
H6:CATATG
0.04
0.03
0.6489
 
 
 
H7:TGTGCG
0.05
0.02
0.1275
 
 
 
H8:CATGTA
0.02
0.03
0.3929
 
 
 
H9:CGTGTA
0.01
0.02
0.6998
 
 
 
H10:CGCGCG
0.00
0.02
0.0894
 
 
 
H11:TATGTG
0.02
0.01
0.3297
 
 
 
H12:CGCGCA
0.01
0.01
0.8976
 
 
 
H13:CGTACG
0.01
0.02
0.4630
 
 
 H14:CATGCG0.000.010.2656  

Discussion

Although genes in complement pathways, including CFH, C2/BF, and C3 [2,8-17] and chr.10q26 (LOC387715/HTRA1) [18-24], have been identified as related to AMD, these loci could not explain all genetic contributions to AMD, suggesting that additional genetic variants related to AMD have not yet been found. Based on the candidate gene approach, Ennis et al. [25] reported that SNPs in SERPING1 were significantly associated with AMD in two Caucasian populations. Additional evidence for SERPING1 involving AMD includes: 1) SERPING1 gene encoding C1INH plays an important role in complement pathways, which have been confirmed to participate in the pathogenesis of AMD; and 2) SERPING1 was expressed in both retinal and RPE-choroid layers in RT–PCR and immunofluorescence studies [25,29]. AMD affection status was correlated with increased abundance of choroidal C1INH [29]. Complement activation pathways include lectin, classical and alternative pathways. SERPING1 encodes C1INH, an inhibitor of the classical and lectin pathways of complement activation. The classical complement pathway is initiated by the C1 complex, which comprises a C1q hexamer complex with a zymogenic (C1r)2-(C1s) 2). SERPING1 irreversibly inhibits C1r and C1s, MASP-1 (mannan-binding lectin serine peptidase 1), and MASP-2 (mannan-binding lectin serine peptidase 2, the C1s ortholog in the lectin pathway), as well as modulating the complement activation through inhibition unrelated to proteases [30-33]. However, Park et al. [26] were unable to replicate the association between the genetic variation in SERPING1 and AMD in two large and well characterized Caucasian subject groups, and Allikmets et al. [34] were also unable to replicate the association between rs2511989 in SERPING1 and AMD. Additional replication studies, especially of a different ethnicity, are important to determine if SERPING1 is really associated with AMD. None of the six SNPs showed significant association with AMD and none of the major haplotypes were observed to be significantly associated with AMD or choroid neovascularization AMD (CNV) after a stringent Bonferroni correction in our study, suggesting that SERPING1 may not be related to AMD in the Han Chinese population. In the haplotype analysis, none of the SNPs tagged the significant haplotypes. Because half of samples’ genotype data for rs11546660 and rs4926 was not available in the HapMap3 for the Chinese, we cannot compare the haplotype frequencies to those in the HapMap. Although four haplotypes including TGTGCG, CGCGCG, CGTGCG, and CGTGTA were shown to have significant associations with different subphenotypes of AMD, anymore after a stringent Bonferroni correction, the significant associations no longer existed, suggesting that these haplotypes were not specifically associated with AMD. Since the haplotype CGTACA was rare in all AMD (3%) and wet groups (3%), and absent in the drusen group and controls, we think that the significant association between this haplotype and AMD is not reliable. The haplotype CGTGCA was shown to be significantly associated with soft drusen in the subject group even after a stringent Bonferroni correction (p=0.0011, Table 4). Further replication studies are needed to clarify the current situation because of the limited number of soft drusen samples in this study.
  34 in total

1.  The International HapMap Project.

Authors: 
Journal:  Nature       Date:  2003-12-18       Impact factor: 49.962

2.  Complement factor H polymorphism in age-related macular degeneration.

Authors:  Robert J Klein; Caroline Zeiss; Emily Y Chew; Jen-Yue Tsai; Richard S Sackler; Chad Haynes; Alice K Henning; John Paul SanGiovanni; Shrikant M Mane; Susan T Mayne; Michael B Bracken; Frederick L Ferris; Jurg Ott; Colin Barnstable; Josephine Hoh
Journal:  Science       Date:  2005-03-10       Impact factor: 47.728

3.  Strong association of the Y402H variant in complement factor H at 1q32 with susceptibility to age-related macular degeneration.

Authors:  Sepideh Zareparsi; Kari E H Branham; Mingyao Li; Sapna Shah; Robert J Klein; Jurg Ott; Josephine Hoh; Gonçalo R Abecasis; Anand Swaroop
Journal:  Am J Hum Genet       Date:  2005-05-13       Impact factor: 11.025

4.  Interaction of C1-inhibitor with the C1r and C1s subcomponents in human C1.

Authors:  G J Arlaud; A Reboul; R B Sim; M G Colomb
Journal:  Biochim Biophys Acta       Date:  1979-01-25

5.  Complement factor H polymorphism and age-related macular degeneration.

Authors:  Albert O Edwards; Robert Ritter; Kenneth J Abel; Alisa Manning; Carolien Panhuysen; Lindsay A Farrer
Journal:  Science       Date:  2005-03-10       Impact factor: 47.728

6.  Complement factor H variant increases the risk of age-related macular degeneration.

Authors:  Jonathan L Haines; Michael A Hauser; Silke Schmidt; William K Scott; Lana M Olson; Paul Gallins; Kylee L Spencer; Shu Ying Kwan; Maher Noureddine; John R Gilbert; Nathalie Schnetz-Boutaud; Anita Agarwal; Eric A Postel; Margaret A Pericak-Vance
Journal:  Science       Date:  2005-03-10       Impact factor: 47.728

7.  A common haplotype in the complement regulatory gene factor H (HF1/CFH) predisposes individuals to age-related macular degeneration.

Authors:  Gregory S Hageman; Don H Anderson; Lincoln V Johnson; Lisa S Hancox; Andrew J Taiber; Lisa I Hardisty; Jill L Hageman; Heather A Stockman; James D Borchardt; Karen M Gehrs; Richard J H Smith; Giuliana Silvestri; Stephen R Russell; Caroline C W Klaver; Irene Barbazetto; Stanley Chang; Lawrence A Yannuzzi; Gaetano R Barile; John C Merriam; R Theodore Smith; Adam K Olsh; Julie Bergeron; Jana Zernant; Joanna E Merriam; Bert Gold; Michael Dean; Rando Allikmets
Journal:  Proc Natl Acad Sci U S A       Date:  2005-05-03       Impact factor: 11.205

8.  Localization of complement 1 inhibitor (C1INH/SERPING1) in human eyes with age-related macular degeneration.

Authors:  Robert F Mullins; Elizabeth A Faidley; Heather T Daggett; Catherine Jomary; Andrew J Lotery; Edwin M Stone
Journal:  Exp Eye Res       Date:  2009-07-14       Impact factor: 3.467

9.  Variation in factor B (BF) and complement component 2 (C2) genes is associated with age-related macular degeneration.

Authors:  Bert Gold; Joanna E Merriam; Jana Zernant; Lisa S Hancox; Andrew J Taiber; Karen Gehrs; Kevin Cramer; Julia Neel; Julie Bergeron; Gaetano R Barile; R Theodore Smith; Gregory S Hageman; Michael Dean; Rando Allikmets
Journal:  Nat Genet       Date:  2006-03-05       Impact factor: 38.330

Review 10.  An international classification and grading system for age-related maculopathy and age-related macular degeneration. The International ARM Epidemiological Study Group.

Authors:  A C Bird; N M Bressler; S B Bressler; I H Chisholm; G Coscas; M D Davis; P T de Jong; C C Klaver; B E Klein; R Klein
Journal:  Surv Ophthalmol       Date:  1995 Mar-Apr       Impact factor: 6.048

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  11 in total

1.  Association between SERPING1 rs2511989 polymorphism and age-related macular degeneration: Meta-analysis.

Authors:  Yi Dong; Ze-Dong Li; Xin-Yu Fang; Xue-Feng Shi; Song Chen; Xin Tang
Journal:  Int J Ophthalmol       Date:  2015-04-18       Impact factor: 1.779

2.  Association of Htra1 gene polymorphisms with the risk of developing AMD in Iranian population.

Authors:  Mohammad Askari; Amin Reza Nikpoor; Fazel Gorjipour; Mohsen Mazidi; Mohammad Hosein Sanati; Hajar Aryan; Alireza Irani; Khalil Ghasemi Falavarjani; Hossein Nazari; Kazem Mousavizadeh
Journal:  Rep Biochem Mol Biol       Date:  2015-10

3.  Genetic variants influencing lipid levels and risk of dyslipidemia in Chinese population.

Authors:  Huaichao Luo; Xueping Zhang; Ping Shuai; Yuanying Miao; Zimeng Ye; Ying Lin
Journal:  J Genet       Date:  2017-12       Impact factor: 1.166

4.  Preservation of cone photoreceptors after a rapid yet transient degeneration and remodeling in cone-only Nrl-/- mouse retina.

Authors:  Jerome E Roger; Keerthi Ranganath; Lian Zhao; Radu I Cojocaru; Matthew Brooks; Norimoto Gotoh; Shobi Veleri; Avinash Hiriyanna; Rivka A Rachel; Maria Mercedes Campos; Robert N Fariss; Wai T Wong; Anand Swaroop
Journal:  J Neurosci       Date:  2012-01-11       Impact factor: 6.167

Review 5.  Genetics of Hereditary Angioedema Revisited.

Authors:  Anastasios E Germenis; Matthaios Speletas
Journal:  Clin Rev Allergy Immunol       Date:  2016-10       Impact factor: 8.667

Review 6.  Genetic insights into age-related macular degeneration: controversies addressing risk, causality, and therapeutics.

Authors:  Michael B Gorin
Journal:  Mol Aspects Med       Date:  2012-04-27

7.  Association between the SERPING1 gene and age-related macular degeneration and polypoidal choroidal vasculopathy in Japanese.

Authors:  Isao Nakata; Kenji Yamashiro; Ryo Yamada; Norimoto Gotoh; Hideo Nakanishi; Hisako Hayashi; Akitaka Tsujikawa; Atsushi Otani; Masaaki Saito; Tomohiro Iida; Akio Oishi; Keitaro Matsuo; Kazuo Tajima; Fumihiko Matsuda; Nagahisa Yoshimura
Journal:  PLoS One       Date:  2011-04-19       Impact factor: 3.240

8.  Ethnic differences in the association of SERPING1 with age-related macular degeneration and polypoidal choroidal vasculopathy.

Authors:  Ke Liu; Timothy Y Y Lai; Li Ma; Frank H P Lai; Alvin L Young; Marten E Brelen; Pancy O S Tam; Chi Pui Pang; Li Jia Chen
Journal:  Sci Rep       Date:  2015-03-24       Impact factor: 4.379

9.  Relationship between SERPING1 rs2511989 polymorphism and age-related macular degeneration risk: a meta-analysis.

Authors:  Yan-Bo Ma; Shao-Ying Fu; Yan-Hua Ma; Hong-Ling Liu
Journal:  Mol Vis       Date:  2014-10-17       Impact factor: 2.367

10.  Comparison of machine learning tools for the prediction of AMD based on genetic, age, and diabetes-related variables in the Chinese population.

Authors:  Shaofeng Hao; Junye Bai; Huimin Liu; Lijun Wang; Tao Liu; Chaobin Lin; Xiangguang Luo; Junhui Gao; Jiangman Zhao; Huilin Li; Hui Tang
Journal:  Regen Ther       Date:  2020-09-29       Impact factor: 3.419

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