# Multiple Gene Polymorphisms Associated with Exfoliation Syndrome in the Uygur Population

Authors: Yi-Nu Ma; Ting-Yu Xie; Xue-Yi Chen
Journal: Journal of Ophthalmology
 (2019)

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## Abstract

Background. Our previous data suggested that three single-nucleotide polymorphisms (SNPs), rs1048661, rs3825942, and rs2165241, of the lysyl oxidase-like 1 gene (LOXL1) are significantly associated with exfoliation syndrome (XFS) and exfoliation glaucoma (XFG). The following study investigated other SNPs that potentially effect XFS/XFG. Methods. A total of 216 Uygur patients diagnosed with XFS/XFG, and 297 Uygur volunteers were admitted to the First Affiliated Hospital at Xinjiang Medical University between January 2015 and October 2017. Blood samples were collected by venipuncture. Alleles and genotypes of LOXL1, TBC1D21, ATXN2, APOE, CLU, AFAP1, TXNRD2, CACNA1A, ABCA1, GAS7, and CNTNAP2 were analyzed by direct sequencing. Results. The allele G of rs41435250 of LOXL1 was a risk allele for XFS/XFG (P<0.001), whereas the allele G of rs893818 of LOXL1 was a protective allele for XFS/XFG (P<0.001). After adjusting all data for age and gender, the following results were obtained: the frequency of genotype CC for rs7137828 of ATXN2 was significantly higher in XFS/XFG patients than in controls (P=0.027), while no significance was found with reference to the frequency of genotype TT. The frequency of genotype GG for rs893818 of LOXL1 (P<0.001) and the frequency of genotype AA were both significantly higher in XFS/XFG groups compared to the control group (P<0.001). In addition, the frequency of genotype TT for rs41435250 of LOXL1 was higher in XFS/XFG patients than in controls (P=0.003), while no significant difference was found with reference to the frequency of genotype GG after adjusting for age and gender. In addition, the haplotypes G-A/T-G/G-G for rs41435250 and rs893818 were significantly associated with XFS/G. Conclusions. With reference to LOXL1, the rs41435250 resulted as a risk factor and rs893818 as a protective factor for XFS/XFG in the Uygur populations. Meanwhile, the rs16958445 of TBC1D21 and the rs7137828 of ATXN2 have also shown to be associated with pathogenesis of XFS/XFG.


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## Body

## 1. Introduction

Exfoliation syndrome (XFS) is an age-related, systemic, elastic microfibrillopathy characterized by deposition and progressive accumulation of a white, fibrillary, extracellular material affecting intraocular and extraocular tissues [1]. A recent study has suggested a high prevalence of XFS in the Uygur population [2, 3]. XFS is characterized by rapid progression, high resistance to medical therapy, and poor prognosis and may lead to exfoliation glaucoma (XFG), open-angle glaucoma, angle-closure glaucoma, and acceleration of cataract insensibly [4]. In China, especially in Xinjiang, many XFS/XFG patients lost their visual acuity due to the lack of medical treatment.Genetic factors have an important role in XFS pathogenesis. Our previous data have suggested that three single-nucleotide polymorphisms (SNPs), i.e.,rs1048661, rs3825942, and rs2165241, of the lysyl oxidase-like 1 gene (LOXL1) were significantly associated with XFS and XFG [5]. Moreover, Yao et al. have discovered that rs4886467, rs4558370, rs4461027, rs4886761, and rs16958477 SNPs located in the LOXL1 gene promoter region are risk factors for XFS [6]. In addition, many other SNPs, such as rs429358 and rs7412 located on apolipoprotein E (APOE) [7], rs2107856 and rs2141388 of contactin-associated protein-like 2 (CNTNAP2) [8], rs41435250 and rs893818 of LOXL1 [9], rs16958445 of TBC1 domain family member 21 (TBC1D21) [10], rs7137828 of autosomal-dominant ataxin 2 (ATXN2), rs35934224 of thioredoxin reductase 2 (TXNRD2), rs11732100 of actin filament-associated protein 1 (AFAP1), rs2472493 of ATP-binding cassette subfamily A member 1 (ABCA1), rs9897123 of growth arrest-specific 7 (GAS7) [11], rs4926244 of calcium voltage-gated channel subunit alpha1 A (CACNA1A) [12], and rs2279590 of clusterin (CLU) [13], have been associated with XFS/XFG. Accordingly, the aim of this study is to investigate whether these SNPs also affect XFS/XFG.


## 2. Materials and Methods

### 2.1. Ethical Approval

The Ethical Committee of the First Affiliated Hospital of Xinjiang Medical University, China, approved this study. In addition, the informed consent was obtained from all participants after explaining the objective and nature of the study. The study was conducted in accordance with the Declaration of Helsinki.


### 2.2. Study Population

A total of 216 Uygur patients who were diagnosed as XFS/XFG and 297 normal Uygur volunteers who were admitted at the First Affiliated Hospital of Xinjiang Medical University, the First People’s Hospital of Kashgar, and the Kuqa County Hospital between January 2015 and October 2017 were enrolled in this study. XFS was diagnosed based on the previously described approach [5]. In brief, XFS was diagnosed by exfoliation materials on the anterior lens capsule or on the pupil margin in either eye with dilation of the pupils. The inclusion criteria were the following: (1) IOP ≥22 mmHg in either eye; (2) glaucomatous changes on the optic disc, defined as a cup-to-disc ratio >0.7 in either eye or an asymmetric cup-to-disc ratio >0.2 or notching of the disc rim; and (3) characteristic glaucomatous visual field loss [14]. Patients with other causes of secondary glaucoma, such as uveitis, pigment dispersion syndrome, and iridocorneal endothelial syndrome, were excluded from the study. All study subjects were unrelated and received comprehensive ophthalmic examinations.Peripheral blood samples (2-3 ml) were collected from each subject by venipuncture. Genomic deoxyribonucleic acid (DNA) was extracted from the whole blood using a Genomic DNA Extraction Kit (The Beijing Genomics Institute, Beijing, China). The SNPs (rs429358, rs7412, rs2107856, rs2141388, rs41435250, rs893818, rs16958445, rs7137828, rs35934224, rs11732100, rs2472493, rs9897123, rs4926244, and rs2279590) were amplified by photoconductive relay (PCR) and directly sequenced [7–13]. Two sets of primers were used for amplification by PCR.Genotypes of these SNPs were determined by direct DNA sequencing, using a BigDye Terminator v3.1 Kit (Applied Biosystems, Foster City, CA) in a 3730XL capillary sequencer (Applied Biosystems). The sequences were analyzed by sequencing analysis software Chromas (Technelysium Pty Ltd., Queensland, Australia).


### 2.3. Statistical Analysis

Statistical analysis was performed using SPSS v17.0 software package (SPSS Inc., Chicago, IL). Hardy–Weinberg equilibrium (HWE) analysis was tested by using theχ2 test in SAS/Genetics v9.1 (SAS Institute Inc., Cary, NC, USA). The comparison of allelic and genotypic frequencies between the patient and control groups, as well as haplotype association analysis, was performed using a standard χ2 test. A P value <0.05 was considered statistically significant. Relative risk association was estimated by calculating odds ratios (OR) along with 95% confidence intervals (CI).


## 2.1. Ethical Approval

The Ethical Committee of the First Affiliated Hospital of Xinjiang Medical University, China, approved this study. In addition, the informed consent was obtained from all participants after explaining the objective and nature of the study. The study was conducted in accordance with the Declaration of Helsinki.


## 2.2. Study Population

A total of 216 Uygur patients who were diagnosed as XFS/XFG and 297 normal Uygur volunteers who were admitted at the First Affiliated Hospital of Xinjiang Medical University, the First People’s Hospital of Kashgar, and the Kuqa County Hospital between January 2015 and October 2017 were enrolled in this study. XFS was diagnosed based on the previously described approach [5]. In brief, XFS was diagnosed by exfoliation materials on the anterior lens capsule or on the pupil margin in either eye with dilation of the pupils. The inclusion criteria were the following: (1) IOP ≥22 mmHg in either eye; (2) glaucomatous changes on the optic disc, defined as a cup-to-disc ratio >0.7 in either eye or an asymmetric cup-to-disc ratio >0.2 or notching of the disc rim; and (3) characteristic glaucomatous visual field loss [14]. Patients with other causes of secondary glaucoma, such as uveitis, pigment dispersion syndrome, and iridocorneal endothelial syndrome, were excluded from the study. All study subjects were unrelated and received comprehensive ophthalmic examinations.Peripheral blood samples (2-3 ml) were collected from each subject by venipuncture. Genomic deoxyribonucleic acid (DNA) was extracted from the whole blood using a Genomic DNA Extraction Kit (The Beijing Genomics Institute, Beijing, China). The SNPs (rs429358, rs7412, rs2107856, rs2141388, rs41435250, rs893818, rs16958445, rs7137828, rs35934224, rs11732100, rs2472493, rs9897123, rs4926244, and rs2279590) were amplified by photoconductive relay (PCR) and directly sequenced [7–13]. Two sets of primers were used for amplification by PCR.Genotypes of these SNPs were determined by direct DNA sequencing, using a BigDye Terminator v3.1 Kit (Applied Biosystems, Foster City, CA) in a 3730XL capillary sequencer (Applied Biosystems). The sequences were analyzed by sequencing analysis software Chromas (Technelysium Pty Ltd., Queensland, Australia).


## 2.3. Statistical Analysis

Statistical analysis was performed using SPSS v17.0 software package (SPSS Inc., Chicago, IL). Hardy–Weinberg equilibrium (HWE) analysis was tested by using theχ2 test in SAS/Genetics v9.1 (SAS Institute Inc., Cary, NC, USA). The comparison of allelic and genotypic frequencies between the patient and control groups, as well as haplotype association analysis, was performed using a standard χ2 test. A P value <0.05 was considered statistically significant. Relative risk association was estimated by calculating odds ratios (OR) along with 95% confidence intervals (CI).


## 3. Results

A total of 216 Uygur XFS/XFG patients (case group) and 297 normal Uygur volunteers (control group) were included in the study. In the case group, there were 146 males and 70 females (average age: 68 years), while in the control group, there were 159 males and 138 females (average age: 62 year) (Table1).Table 1
Baseline of the two groups.
Case
Control
t
P
n
=
216
n
=
297
Age (years), mean ± SD
68.90 ± 8.47
62.46 ± 9.94
9.13
<0.001
Gender (M/F),n (%)
146 (67.59%)/70 (32.41%)
159 (53.54%)/138 (46.45%)
10.25
<0.001
M:male; F:female.All SNPs underwent the Hardy–Weinberg equilibrium test before further data analysis. Besides rs7137828 that deviated from HWE (P=0.006) in the control group and rs35934224 that deviated from HWE (P=0.005) in the case group, other SNPs were all in line with the HWE Table 2.Table 2
Hardy–Weinberg equilibrium test of these SNPs.
GeneName
SNP
HWE_Case
HWE_Control
HWE
LOXL1
rs893818
0.255
0.310
0.324
LOXL1
rs41435250
0.497
1.000
0.505
TBC1D21
rs16958445
0.111
0.555
0.553
ATXN2
rs7137828
1.000
0.006
0.025
CNTNAP2
rs2107856
1.000
1.000
1.000
CNTNAP2
rs2141388
0.895
0.908
0.795
APOE
rs429358
0.484
0.755
0.253
APOE
rs7412
0.310
0.632
0.299
CLU
rs2279590
0.367
1.000
0.490
CACNA1A
rs4926244
0.074
0.616
0.099
ABCA1
rs2472493
0.895
0.646
0.862
GAS7
rs9897123
1.000
0.122
0.279
AFAP1
rs11732100
0.692
0.482
0.793
TXNRD2
rs35934224
0.005
1.000
0.101
Besides rs7137828 that deviated from the HWE in the control group and rs35934224 that deviated from the HWE in the case group, other SNPs were all in line with the HWE.The allele association analysis showed that the frequency of allele G of rs41435250 and rs893818 ofLOXL1 was significantly higher in XFS/XFG patients than in controls (rs41435250: P<0.001, OR = 1.791, 95% CI: 1.334–2.405; rs893818: P<0.001, OR = 0.423, 95% CI: 0.318–0.563), while no significant differences were found for other alleles (P>0.05) (Table 3).Table 3
Allele association analysis with these SNPs.
SNP
XFS/XFG
Control
χ
2
P
OR (95% CI)
TBC1D21
rs16958445
Allele
G
432
583
3.025
0.082
1.369 (0.960–1.953)
A
70
69
ATXN2
rs7137828
Allele
T
429
531
3.272
0.070
0.7467 (0.544–1.025)
C
73
121
APOE
rs429358
Allele
T
452
587
C
50
65
<0.001
0.996
0.999 (0.677–1.473)
rs7412
Allele
C
468
610
T
34
42
0.051
0.822
1.055 (0.661–1.685)
CLU
rs2279590
Allele
C
351
455
T
151
197
0.002
0.961
0.994 (0.771–1.280)
AFAP1
rs11732100
Allele
C
402
524
T
100
128
0.015
0.903
1.018 (0.760–1.364)
TXNRD2
rs35934224
Allele
C
446
574
T
56
78
0.180
0.671
0.924 (0.642–1.331)
CACNA1A
rs4926244
Allele
T
401
515
C
101
137
0.138
0.710
0.947 (0.710–1.263)
ABCA1
rs2472493
Allele
A
301
391
G
201
261
<0.001
0.998
1.000 (0.789–1.269)
LOXL1
rs41435250
Allele
G
379
552
T
123
100
15.280
<0.001
1.791 (1.334–2.405)
rs893818
Allele
G
418
442
A
84
210
35.780
<0.001
0.423 (0.318–0.563)
GAS7
rs9897123
Allele
C
249
341
T
253
311
0.827
0.363
1.114 (0.883–1.406)
CNTNAP2
rs2107856
Allele
G
299
390
T
203
262
0.008
0.930
1.011 (0.797–1.281)
rs2141388
Allele
C
301
391
T
201
261
<0.001
0.998
1.000 (0.789–1.269)
G allele of rs41435250 of LOXL1 was the risk allele for the disorder. In contrast, G allele of rs893818 of LOXL1 was the protective allele for the disorder. Other alleles of SNPs showed no statistical significance.The genotype association analysis showed that the frequency of genotype AA for rs16958445 ofTBC1D21 was higher in XFS/XFG patients than in controls (P=0.033, OR = 5.481, 95% CI: 1.151–26.11), while the frequency of genotype GG was not significantly different between the two groups. After adjusting all data for age and gender, the following results were obtained: the frequency of genotype CC for rs7137828 of ATXN2 was significantly higher in XFS/XFG patients than in controls (P=0.027, OR = 0.322, 95% CI: 0.118–0.879), while no significant differences were found with reference to the frequency of genotype TT. The frequency of genotype GG for rs893818 of LOXL1 (P<0.001, OR= 0.511, 95% CI: 0.358–0.729) and the frequency of genotype AA were both significantly higher in the XFS/XFG group compared to the control group (P<0.001, OR= 0.095, 95% CI: 0.033–0.272). In addition, the frequency of genotype TT for rs41435250 of LOXL1 was higher in XFS/XFG patients than in controls (P=0.003, OR= 3.902, 95% CI: 1.580–9.640), while no significant difference was found with reference to the frequency of genotype GG after adjusting for age and gender. All data are shown in Table 4.Table 4
Genotype association analysis with these SNPs.
Gene/SNP
XFS/XFG
Control
p
OR (95% CI)
Adjusted-P
Adjusted-OR (95% CI)
TBC1D21
rs16958445
Genotype
GG
189
259
0.532
1.138 (0.758–1.71)
0.114
1.465 (0.913–2.351)
GA
54
65
0.033
5.481 (1.151–26.110)
0.043
5.439 (1.053–28.090)
AA
8
2
ATXN2
rs7137828
Genotype
TT
183
224
0.705
0.929 (0.635–1.360)
0.955
1.013 (0.654–1.569)
TC
63
83
0.027
0.322 (0.118–0.879)
0.030
0.299 (0.100–0.891)
CC
5
19
APOE
rs429358
Genotype
TT
202
263
0.910
1.025 (0.673–1.560)
0.532
1.171 (0.714–1.920)
TC
48
61
0.727
0.651 (0.059–7.230)
0.773
0.697 (0.060–8.091)
CC
1
2
rs7412
Genotype
CC
219
286
0.907
1.031 (0.619–1.717)
0.873
1.049 (0.585–1.882)
CT
30
38
0.790
1.306 (0.183–9.344)
0.887
1.172 (0.132–10.400)
TT
2
2
CLU
rs2279590
Genotype
CC
126
159
0.604
0.912 (0.644–1.292)
0.298
0.807 (0.538–1.209)
CT
99
137
0.760
1.094 (0.616–1.943)
0.171
1.586 (0.819–3.071)
TT
26
30
AFAP1
rs11732100
Genotype
CC
162
208
0.678
0.927 (0.649–1.324)
0.922
0.979 (0.650–1.477)
CT
78
108
0.442
1.412 (0.585–3.407)
0.576
0.711 (0.215–2.350)
TT
11
10
TXNRD2
rs35934224
Genotype
CC
203
252
0.118
0.709 (0.461–1.091)
0.175
0.710 (0.433–1.165)
CT
40
70
0.142
2.483 (0.737–8.362)
0.258
2.245 (0.553–9.114)
TT
8
4
CACNA1A
rs4926244
Genotype
TT
165
205
0.349
0.840 (0.584–1.209)
0.224
0.774 (0.512–1.170)
TC
71
105
0.684
1.165 (0.559–2.426)
0.826
0.901 (0.356–2.282)
CC
15
16
ABCA1
rs2472493
Genotype
AA
91
115
0.713
0.934 (0.650–1.343)
0.831
0.955 (0.626–1.457)
AG
119
161
0.888
1.036 (0.631–1.702)
0.906
0.966 (0.544–1.716)
GG
41
50
LOXL1
rs41435250
Genotype
GG
145
233
0.006
1.663 (1.158–2.388)
0.071
1.478 (0.966–2.259)
GT
89
86
0.003
3.902 (1.580–9.640)
0.003
5.276 (1.748–15.930)
TT
17
7
rs893818
Genotype
GG
171
154
<0.001
0.511 (0.358–0.729)
<0.001
0.4449 (0.293–0.676)
GA
76
134
<0.001
0.095 (0.033–0.272)
<0.001
0.119 (0.039–0.356)
AA
4
38
GAS7
rs9897123
Genotype
CC
62
82
0.739
0.934 (0.625–1.396)
0.440
0.833 (0.523–1.325)
CT
125
177
0.335
1.263 (0.785–2.033)
0.808
0.935 (0.542–1.612)
TT
64
67
CNTNAP2
rs2107856
Genotype
GG
89
117
0.917
1.02 (0.709–1.467)
0.687
1.091 (0.715–1.665)
GT
121
156
0.947
1.017 (0.622–1.664)
0.537
1.194 (0.681–2.094)
TT
41
53
rs2141388
Genotype
CC
91
118
0.981
0.996 (0.692–1.431)
0.772
1.064 (0.698–1.624)
CT
119
155
0.990
1.003 (0.614–1.639)
0.570
1.177 (0.672–2.060)
TT
41
53
The genotypes AA for rs16958445 of TBC1D21 and GG/TT for rs41435250 of LOXL1 were risk genotypes for the disease. The genotypes CC for rs7137828 of ATXN2 and GG/AA for rs893818 of LOXL1 were protective genotypes for the disease.Moreover, our results indicated that all MAFs were greater than 0.05, which further suggested that all SNPs were statistically significant (Table5).Table 5
MAFs of these SNPs.
Gene
SNP
Ref allele
Alt allele
Case MAF
Control MAF
Total MAF
LOXL1
rs893818
G
A
0.167
0.322
0.255
LOXL1
rs41435250
G
T
0.245
0.153
0.193
TBC1D21
rs16958445
G
A
0.139
0.106
0.121
ATXN2
rs7137828
T
C
0.145
0.186
0.168
CNTNAP2
rs2107856
G
T
0.404
0.402
0.403
CNTNAP2
rs2141388
C
T
0.400
0.400
0.400
APOE
rs429358
T
C
0.100
0.100
0.100
APOE
rs7412
C
T
0.068
0.064
0.066
CLU
rs2279590
C
T
0.301
0.302
0.302
CACNA1A
rs4926244
T
C
0.201
0.210
0.206
ABCA1
rs2472493
A
G
0.400
0.400
0.400
GAS7
rs9897123
C
T
0.496
0.477
0.489
AFAP1
rs11732100
C
T
0.199
0.196
0.198
TXNRD2
rs35934224
C
T
0.112
0.120
0.116
All MAFs were greater than 0.05, which pointed out that all these SNPs were statistically significant.After the study of alleles and genotypes, we screened out the LOXL1, APOE, and CNTNAP2 for the haplotype association analysis. The genotyping graphs for these SNPs are shown in Figure1.Figure 1
The genotyping graphs for LOXL1, APOE, and CNTNAP2.For the rs41435250 and rs893818 ofLOXL1, three haplotypes were observed. As shown in Table 6, all haplotypes showed a significantly higher frequency in XFS/XFG patients than in controls: GA (P≤0.001, OR= 0.417, 95% CI: 0.313–0.556), TG (P≤0.001, OR= 1.772, 95% CI: 1.320–2.380), and GG (P=0.028, OR= 1.302, 95% CI: 1.030–1.648). Furthermore, after adjusting for age and gender, the similar data were obtained (Table 7): GA (P≤0.001, OR = 0.400, 95% CI: 0.286–0.559), TG (P=0.001, OR = 1.769, 95% CI: 1.251–2.503), and GG (P=0.029, OR = 1.356, 95% CI: 1.032–1.782). We also observed three haplotypes for rs429358 and rs7412 of APOE and rs2107856 and rs2141388 of CNTNAP2; nevertheless, there was no connection between the case and control group.Table 6
Haplotype association analysis between these SNPs.
Gene
Haplotype
Case (proportion)
Control (proportion)
P value
OR
95% CI
rs41435250
rs893818
LOXL1
G
A
83 (0.165)
210 (0.322)
≤0.001
0.417
0.313–0.556
T
G
122 (0.243)
100 (0.153)
≤0.001
1.772
1.320–2.380
G
G
296 (0.590)
342 (0.525)
0.028
1.302
1.030–1.648
rs429358
rs7412
APOE
T
C
418 (0.833)
545 (0.836)
0.884
0.977
0.715–1.336
C
C
50 (0.100)
65 (0.100)
0.996
0.999
0.677–1.473
C
T
34 (0.068)
42 (0.064)
0.822
1.055
0.661–1.685
rs2107856
rs2141388
CNTNAP2
T
T
201 (0.400)
261 (0.400)
0.998
1.000
0.789–1.269
G
C
299 (0.596)
390 (0.598)
0.930
0.990
0.781–1.254
The haplotypes GG/TG/GA for the SNPs rs41435250 and rs893818 were significantly associated with XFS/XFG.Table 7
Haplotype (adjusted) association analysis between these SNPs.
Gene
Haplotype
Case (proportion)
Control (proportion)
P value
OR
95% CI
rs41435250
rs893818
LOXL1
G
A
67 (0.155)
189 (0.319)
≤0.001
0.400
0.286–0.559
T
G
101 (0.234)
89 (0.150)
0.001
1.769
1.251–2.503
G
G
264 (0.611)
314 (0.530)
0.029
1.356
1.032–1.782
rs429358
rs7412
APOE
T
C
360 (0.833)
494 (0.834)
0.609
0.910
0.634–1.307
C
C
42 (0.097)
57 (0.096)
0.643
1.113
0.707–1.753
C
T
30 (0.069)
41 (0.069)
0.834
1.059
0.621–1.806
rs2107856
rs2141388
CNTNAP2
T
T
180 (0.417)
239 (0.404)
0.569
1.083
0.823–1.424
G
C
250 (0.579)
352 (0.595)
0.523
0.915
0.696–1.202
The haplotypes GG/TG/GA for the SNPs rs41435250 and rs893818 were significantly associated with XFS/XFG.


## 4. Discussion

So far, numerous studies have focused on the polymorphisms ofLOXL1. Our previous studies have shown that there were polymorphisms of LOXL1 in different alleles and genotypes of different SNPs in XFS/XFG of different ethnic groups. In this study, we found two SNPs (rs41435250 and rs893818) of LOXL1 that were polymorphic and associated with XFS/XFG. Meanwhile, we also examined other genes which were previously affirmed to have polymorphisms in XFS/XFG. We found that rs16958445 of TBC1D21 and rs7137828 of ATXN2 were significantly associated with XFS/XFG. Yet, three haplotypes for rs429358 and rs7412 of APOE and rs2107856 and rs2141388 of CNTNAP2 had no connection between the case and control group.As a result,LOXL1 is still the susceptibility gene of XFS/XFG in Uygur populations. The rs1048661, rs3825942, rs2165241, rs4886467, rs4558370, rs4461027, rs4886761, rs16958477 [5, 6], and rs41435250 resulted to be risk factors, while rs893818 resulted to be a protective factor for XFS/XFG in the Uygur population.Genes, such asTBC1D21, ATXN2, APOE, CLU, AFAP1, TXNRD2, CACNA1A, ABCA1, GAS7, and CNTNAP2, have been associated with glaucoma. In this study, we discovered that SNPs, rs16958445 of TBC1D21 and the rs7137828 of ATXN2, had an important role in the pathogenesis of XFS/XFG in the Uygur population. Nonetheless, it is necessary to note that there may be other factors affecting the pathogenesis of XFS/G, which should be addressed by future studies.In this research, we gathered a number of genes to study the polymorphisms of the special ethnic groups, thus providing valuable information and expanding the knowledge on the gene mechanism of XFS/XFG. Nonetheless, the current study has some limitations that should be pointed out. Although the patients were recruited from the three largest areas of Xinjiang, the sample representativeness may be somewhat inaccurate, which could be addressed by expanding the sample size and thus improving the accuracy. We found that multiple gene polymorphisms had an important role in the pathogenesis of the disorder in Uygur patients, but we cannot exclude the possibility that other additional genetic or environmental factors also participate in modifying the development of this disorder.



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*Source: 9687823-2019-05-02.xml*