Free
Genetics  |   February 2014
Mitochondrial DNA Variant Discovery in Normal-Tension Glaucoma Patients by Next-Generation Sequencing
Author Affiliations & Notes
  • Jin Wook Jeoung
    Department of Ophthalmology, Seoul National University Hospital, Seoul, Korea
  • Moon-Woo Seong
    Department of Laboratory Medicine, Seoul National University Hospital, Seoul, Korea
  • Sung Sup Park
    Department of Laboratory Medicine, Seoul National University Hospital, Seoul, Korea
  • Dong Myung Kim
    Department of Ophthalmology, Seoul National University Hospital, Seoul, Korea
  • Seok Hwan Kim
    Department of Ophthalmology, Seoul National University Boramae Hospital, Seoul, Korea
  • Ki Ho Park
    Department of Ophthalmology, Seoul National University Hospital, Seoul, Korea
  • Correspondence: Dong Myung Kim, Department of Ophthalmology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 110-744, Korea; [email protected]
Investigative Ophthalmology & Visual Science February 2014, Vol.55, 986-992. doi:https://doi.org/10.1167/iovs.13-12968
  • Views
  • PDF
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Jin Wook Jeoung, Moon-Woo Seong, Sung Sup Park, Dong Myung Kim, Seok Hwan Kim, Ki Ho Park; Mitochondrial DNA Variant Discovery in Normal-Tension Glaucoma Patients by Next-Generation Sequencing. Invest. Ophthalmol. Vis. Sci. 2014;55(2):986-992. https://doi.org/10.1167/iovs.13-12968.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

Purpose.: Normal-tension glaucoma (NTG) is a disease of late onset, complex trait with multiple risk factors. In this study, we discovered a mitochondrial DNA variant in NTG patients using next-generation sequencing (NGS).

Methods.: The DNA was extracted from the peripheral blood of NTG patients and normal control subjects. Sequencing of the entire mitochondrial DNA (mtDNA) using NGS revealed new genetic risk variants for NTG patients (discovery sample, n = 20). For the candidate genetic variants, we performed a disease–gene association study in the independent case–control populations (validation sample; NTG, n = 196 and normal control, n = 202) using Sanger sequencing.

Results.: This study identified 148 different novel mtDNA-sequence changes. Of these, 21 sequence variants identified at a frequency greater than 15% were located in the ND2-ND6, RNR1, RNR2, COX1, COX3, ATP6, ATP8, and CYTB genes. Of the 21 candidate genetic variants, the frequencies of m.4883C>T (ND2 gene), m.9540T>C (COX3 gene), and m.14766C>T (CYTB gene) were significantly different between NTG patients and controls (28.4% vs. 15.3%, P = 0.002; 56.5% vs. 44.4%, P = 0.020; and 3.1% vs. 0.0%, P = 0.030, respectively). The association with m.4883C>T in the ND2 gene resisted the Bonferroni correction for multiple tests. The NTG patients of T genotype in the m.4883C>T variant have more advanced visual field loss than those who carry the C genotype (P = 0.009).

Conclusions.: This study reveals a spectrum of mtDNA variants in patients with NTG. Our results identified a synonymous change, m.4883C>T variant, which was more prevalent in the NTG cohorts than in the controls. This finding suggests that the identified variant may be a genetic risk factor for the development of NTG.

Introduction
Glaucoma is a leading cause of blindness worldwide and is the second most frequent cause of nonaccidental blindness in industrialized countries. 13 The global prevalence of glaucoma was estimated at 67 million people in 2001. 4 Normal-tension glaucoma (NTG) is a condition involving progressive glaucomatous optic neuropathy and corresponding visual field defects with IOP in the statistically normal range. Because of the normal IOP, other factors, such as genetic predisposition, are believed to have an important role in the pathogenesis of NTG. Since up to 21% of NTG patients were reported to have a family history, it has been suggested that these patients may be genetically predisposed to developing NTG. 5 Over the last two decades, several genes have been identified that may be responsible for predisposition to NTG, but no causative gene has yet been confirmed in NTG subjects to our knowledge. 
Glaucoma is recognized as a neurodegenerative disorder characterized by the accelerated loss of retinal ganglion cells and their axons. Previous studies point to the possibility that mitochondrial dysfunction in certain individuals may predispose them to glaucoma. 68  
The advent of next-generation sequencing (NGS) has reduced sequencing costs and has significantly increased throughput, enabling population-level surveys of human genomic variation. After the advent of NGS and the complete sequencing of a large number of individuals from different populations, the site frequency spectrum has been enriched rapidly with rare and low frequency variants. 9 Considering that rare variants may exhibit geographic or ancestry-based specificity, 10,11 population-based genetic information may provide new insights into the pathogenesis of glaucoma. 
In this study, we discovered a mitochondrial DNA variant in NTG patients by using NGS technology. This study identified a synonymous change, m.4883C>T variant, which was more prevalent in the NTG cohorts than in the controls. Results of this study may improve our understanding of the pathophysiology of NTG and allow us to construct a new disease prediction model of NTG. 
Methods
This study was approved by the Institutional Review Board of the Seoul National University Hospital Clinical Research Institute. Informed consent was obtained from all participants at enrollment. All procedures were designed and conducted in accordance with the tenets of the Declaration of Helsinki. 
Subjects
We included 20 NTG patients (discovery sample) in this study. Cases diagnosed as pseudoexfoliation glaucoma and those with a known myocilin mutation were excluded. The entire mitochondrial DNA (mtDNA) was sequenced using NGS for the 20 NTG patients. From these results, we revealed new genetic risk variants for NTG patients. For the candidate genetic variants, we performed a disease–gene association study, using Sanger sequencing, in the independent case–control populations (validation sample). The validation sample consisted of 196 NTG patients and 202 normal control subjects. 
The diagnostic criteria for NTG were normal IOP, glaucomatous optic disc cupping, glaucomatous visual field defects, open anterior chamber angle, and the absence of any contributing ocular or systemic disorders. The IOP was measured using a Goldmann applanation tonometer. Normal IOP was defined as a diurnal IOP persistently below 21 mm Hg without medication. Visual fields of NTG patients were evaluated using the 30-2 program of the Humphrey Visual Field Analyzer Model 750 (Zeiss, Inc., San Leandro, CA) or Model 630 (Allergan, Inc., San Leandro, CA). Reliable fields were those with a fixation loss rate of ≤20%, and false-positive and false-negative error rates of ≤20%. A glaucomatous visual field defect was defined as a Glaucoma Hemifield Test outside normal limits on at least two fields, or a cluster of three or more nonedge points in a location typical for glaucoma, all of which are depressed on the pattern deviation plot at a P < 5% level and one of which is depressed at a P < 1% level on two consecutive fields, or a pattern standard deviation that occurs in less than 5% of normal fields. Exclusion criteria included historical or neuroimaging evidence of another possible optic neuropathic condition affecting either eye, significant visual loss in both eyes not associated with glaucoma, or refusal to participate. 
Normal control subjects who had completed medical and ophthalmologic examinations at the Health Promotion Clinic served as controls. These subjects had best corrected visual acuities of 20/25 and IOPs of 21 mm Hg or less. Subjects with any suspicious findings of glaucoma in the disc and fundus (e.g., cup-to-disc ratio of more than 0.6, notch in the neural rim, vertically oval cup, zone beta peripapillary atrophy, retinal nerve fiber layer defect, choroidal sclerosis, or abnormalities of the disc vessels) were not included. 
Sequence Analysis of the Mitochondrial DNA: Discovery Sample
DNA Extraction and Long-Range PCR.
Genomic DNA was extracted from peripheral blood using the QIAamp DNA extraction kit (QIAGEN, Valencia, CA). The entire mitochondrial genome was amplified in two overlapping fragments with sizes of 9.3 and 7.6 kilobases (kb). The primer sets for long-range PCR were as follows: F-5′-AACCAAACCCCAAAGACACC-3′ and R-5′-GCCAATAATGACGTGAAGTCC-3′ for the 9.3 kb-sized fragment I, and F-5′-TCCCACTCCTAAACACATCC-3′ and R-5′-TTTATGGGGTGATGTGAGCC-3′ for the 7.6 kb-sized fragment II. Long-range PCR was performed using LA Taq polymerase (TAKARA, Shiga, Japan). 
Library Preparation, Emulsion PCR, and Sequencing Reaction.
Sequencing reactions were carried out using Roche GS sequencing technology. The library was prepared following the manufacturer's protocol. Briefly, equimolar amounts of PCR products were pooled for each patient and were sheared to yield smaller fragments of 300 to 500 base pairs (bp). Then, barcoded adaptors were ligated to each fragment with DNA ligase. Adaptor-modified fragments were amplified clonally by emulsion PCR. The clonal amplicons were sequenced on the GS Jr platform. 
Bioinformatics Analysis.
NextGENe software (Softgenetics, State College, PA) was used to analyze the reads and align against the revised Cambridge reference sequence of human mtDNA. 12 Variant calls were filtered using the criteria of quality score of ≥20 and minimum coverage ≥ ×10. 
Disease–Gene Association Study: Validation Sample
From the results of the discovery sample, we selected new genetic risk variants for NTG patients. The mtDNA sequence variants, which were identified at a frequency of greater than 15% in the discovery sample, were considered as possible candidate genetic variants for NTG. We performed an allele association study on a new case–control population that is highly discordant for clinical phenotypes. A subset of 196 cases and 202 controls meeting the eligibility criteria were selected as a validation sample for genotyping. All candidate variants were confirmed by Sanger sequencing using original DNA from an independent biological sample and not from the whole genome amplified sample used in the discovery stage. Predicting effect of nonsynonymous variants on protein function was done using Polyphen-2 software. 13 The haplogroup determination was based on the phylogenetic network for European mtDNA, as described by Finnila et al. 14 and the literature by Accetturo et al. 15  
Statistical Analysis
The frequencies of the genotypes and alleles of the polymorphisms were compared between NTG patients and controls. The significance of association was determined by contingency table analysis using Fisher's exact test. The results were considered statistically significant when the P value was <0.05. For the Fisher's exact test, double-sided P values were calculated using the sum of small P values. 14 For genotype-phenotype analysis, we used independent t-tests to compare group means of those carrying the sequence variant being tested against the group means of those carrying the normal, reference sequence. The statistical analyses were performed using SPSS for Windows version 19.0 (SPSS, Inc., Chicago, IL). 
Results
Subject Characteristics
Clinical features of discovery and validation samples are depicted in Table 1. In this study, all subjects were Korean. For the validation sample, no significant differences were found between the two groups in terms of age, sex ratio, and IOP. The frequency of family history of glaucoma was significantly higher in the NTG patients (14.3%) than in the controls (0%, P < 0.001). In the case–control sample, no subject was identified with inherited mitochondrial disorders. 
Table 1
 
Characteristics of Study Subjects
Table 1
 
Characteristics of Study Subjects
Discovery Sample Validation Sample
NTG Patients, n = 20 NTG Patients, n = 196 Normal Controls, n = 202 P Value
Age, y 58.5 ± 9.3 57.0 ± 13.4 59.0 ± 15.3 0.184*
Sex ratio, male-to-female 5:15 89:107 98:104 0.603†
Baseline IOP, mm Hg 15.3 ± 2.4 15.3 ± 2.7 15.0 ± 2.8 0.286*
Family history of glaucoma 5 (25.0%) 28 (14.3%) 0 (0.0%) <0.001†
Social history
 Smoking 3 (15.0%) 19 (9.7%) 22 (10.9%) 0.820†
 Consumption of alcohol 6 (30.0%) 71 (36.2%) 78 (38.6%) 0.697†
Medical history
 Diabetes 2 (10.0%) 24 (12.2%) 21 (10.4%) 0.672†
 Hypertension 1 (5.0%) 64 (32.7%) 55 (27.2%) 0.284†
Humphrey C30-2 visual field
 MD, dB −6.88 ± 4.78 −7.99 ± 8.75
 PSD, dB 8.65 ± 5.24 6.52 ± 4.53
Sequence Analysis of the Mitochondrial DNA
For the discovery sample, the entire mtDNA was sequenced using NGS. This study identified 148 different novel mtDNA-sequence changes (see Supplementary Table S1 for a list of mtDNA-sequence changes). Of these, 21 sequence variants identified at a frequency greater than 15% were located in the ND2-ND6, RNR1, RNR2, COX1, COX3, ATP6, ATP8, and CYTB genes. 
From the 148 mtDNA-sequence changes, 20 nonsynonymous mtDNA changes were detected in 20 patients with NTG, and these were not considered to be Leber's hereditary optic neuropathy (LHON) mutations (Table 2). These 20 mtDNA changes spanned the mitochondrial coding region; 10 (50.0%) in complex I, 3 (15.0%) in complex III, 2 (10.0%) in complex IV, and 5 (25.0%) in ATP synthase. Six of these changes were predicted to be damaging to the corresponding protein structure and/or function. 
Table 2
 
Nonsynonymous mtDNA Nucleotide Changes
Table 2
 
Nonsynonymous mtDNA Nucleotide Changes
Nucleotide Substitution Gene Amino Acid Substitution Location Heteroplasmy Level, % PolyPhen-2 Prediction Base Substitution
m.3745G>A ND1 p.Ala147Thr Complex I 13 Benign Transition
m.4129A>G ND1 p.Thr275Ala Complex I NA Benign Transition
m.4824A>G ND2 p.Thr119Ala Complex I NA Possibly damaging Transition
m.5178C>A ND2 p.Leu237Met Complex I NA Probably damaging Transversion
m.5442T>C ND2 p.Phe325Leu Complex I NA Benign Transition
m.6102T>C COX1 p.Phe67Leu Complex IV 6 Benign Transition
m.6114A>G COX1 p.Met71Val Complex IV 8 Possibly damaging Transition
m.8414C>T ATP8 p.Leu17Phe ATP synthase NA Probably damaging Transition
m.8701A>G ATP6 p.Thr59Ala ATP synthase NA Benign Transition
m.8794C>T ATP6 p.His90Tyr ATP synthase NA Benign Transition
m.8860A>G ATP6 p.Thr112Ala ATP synthase NA Benign Transition
m.8894A>T ATP6 p.Asn123Ile ATP synthase 11 Benign Transversion
m.10398A>G ND3 p.Thr114Ala Complex I NA Benign Transition
m.10854T>C ND4 p.Leu32Pro Complex I 5 Probably damaging Transition
m.12005T>C ND4 p.Trp416Arg Complex I 6 Benign Transition
m.12358A>G ND5 p.Thr8Ala Complex I NA Unknown Transition
m.12436C>A ND5 p.His34Asn Complex I 11 Probably damaging Transversion
m.14766C>T CYTB p.Thr7Ile Complex III NA Benign Transition
m.15071T>C CYTB p.Tyr109His Complex III NA Benign Transition
m.15326A>G CYTB p.Thr194Ala Complex III NA Benign Transition
Seven nonsynonymous mtDNA changes were present in a heteroplasmic status. The heteroplasmy levels were 13% for m.3745G>A, 6% for m.6102T>C, 8% for m.6114A>G, 11% for m.8894A>T, 5% for m.10854T>C, 6% for m.12005T>C, and 11% for m.12436C>A. 
Disease-Gene Association Study
Of the 148 mtDNA abnormalities, the 21 sequence variants identified at a frequency greater than 15% were selected for the disease-gene association study. Of the 21 candidate genetic variants, the frequencies of m.4883C>T (ND2 gene), m.9540T>C (COX3 gene), and m.14766C>T (CYTB gene) were significantly different between NTG patients and controls (28.4% vs. 15.3%, P = 0.002; 56.5% vs. 44.4%, P = 0.020; 3.1% vs. 0.0%, P = 0.030, respectively). Additionally, the association with m.4883C>T in ND2 gene resisted the Bonferroni correction for multiple tests (Table 3). None of the other single nucleotide polymorphisms was associated with differences in baseline IOP, age at diagnosis, or mean deviation of the visual field. 
Table 3
 
Genotype Frequencies of mtDNA Sequence Changes in NTG Patients and Normal Control Subjects
Table 3
 
Genotype Frequencies of mtDNA Sequence Changes in NTG Patients and Normal Control Subjects
mtDNA Sequence Changes Haplogroup Associated Disease Location Amino Acid Substitution Genotype Patients Controls P Value*
m.663A>G A RNR1 gene A 169 178 1.000
G 20 20
m.709G>A RNR1 gene G 155 155 0.525
A 35 42
m.4883C>T D ND2 gene C 139 171 0.002
T 55 31
m.5178C>A D Longevity, blood iron metabolism ND2 gene p.Leu237Met C 138 140 0.825
A 55 60
m.5231G>A L0a ND2 gene G 186 193 0.797
A 8 7
m.5417G>A N9 ND2 gene G 185 186 0.392
A 9 14
m.8414C>T D4 Longevity ATP8 gene p.Leu17Phe C 144 145 0.641
T 46 53
m.8701A>G L/M ATP6 gene p.Thr59Ala A 89 84 0.478
G 105 115
m.8794C>T A Exercise endurance, coronary atherosclerosis risk ATP6 gene p.His90Tyr C 174 179 1.000
T 20 20
m.9540T>C L/M COX3 gene T 83 110 0.020
C 108 88
m.10398A>G M PD protective factor, longevity, altered cell PH, metabolic syndrome, breast cancer risk ND3 gene p.Thr114Ala A 77 65 0.143
G 117 135
m.10400C>T M ND3 gene C 85 82 0.611
T 109 118
m.10873T>C L/M ND4 gene T 86 81 0.478
C 110 121
m.12358A>G N9a ND5 gene p.Thr8Ala A 186 189 1.000
G 9 10
m.12372G>A U Altered brain pH ND5 gene G 180 190 0.211
A 15 9
m.12705C>T N/M/L ND5 gene C 57 49 0.310
T 139 151
m.14668C>T D4 Major depressive disorder ND6 gene C 147 145 0.564
T 47 54
m.14766C>T HV CYTB gene p.Thr7Ile C 6 0 0.030
T 189 193
m.14783T>C M CYTB gene T 86 79 0.539
C 109 114
m.15043G>A M Major depressive disorder CYTB gene G 86 81 0.476
A 108 119
m.15301G>A L/M CYTB gene G 87 81 0.417
A 108 119
Genotype-Phenotype Analysis
When we compared the clinical features of NTG patients with and without m.4883C>T mitochondrial DNA sequence changes, there was a significant difference in the mean deviation values of the visual field. The NTG patients of T genotype in the m.4883C>T variant had worse mean deviation values of the visual field compared to those who carry the C genotype (P = 0.009, Table 4). 
Table 4
 
Comparison of the Clinical Features of NTG Patients With and Without m.4883C>T mtDNA Sequence Changes
Table 4
 
Comparison of the Clinical Features of NTG Patients With and Without m.4883C>T mtDNA Sequence Changes
mtDNA Sequence Changes Clinical Features Genotype P Value
C, n = 139 T, n = 55
m.4883C>T Age at diagnosis, y 50.5 ± 12.6 53.0 ± 15.7 0.316*
Sex ratio, male-to-female 61:78 27:28 0.620†
Baseline IOP, mm Hg 15.3 ± 2.6 15.1 ± 2.8 0.598*
MD value of visual field, dB −7.15 ± 5.48 −10.03 ± 8.26 0.009*
Discussion
Glaucoma comprises a heterogeneous group of ocular disorders with a hereditable basis. The majority of these cases may be explained by a confluence of complex genotype and environmental risk factors. 16 The IOP is the only well recognized factor responsible for optic nerve damage in glaucoma. However, evidence from several studies suggests that mitochondrial dysfunction or altered mitochondrial signaling pathways are involved in glaucoma pathogenesis. 17,18 In this study, we performed a genetic analysis of the mitochondrial gene and revealed the genetic risk variants in NTG patients. 
Previous studies suggest that mitochondria have a crucial role in the pathophysiology of optic neuropathies, such as Leber's optic neuropathy, 19,20 and neurodegenerative diseases, such as Parkinson's disease. 21 In this study, we found that m.4883C>T in ND2 gene showed a significant association with NTG. The ND2 protein is one of the 46 subunits that constitute the OXPHOS complex I, which is a key enzyme in the respiratory chain. Our results are in line with previous reports that mutations in the ND subunits of complex I have an important role in oxidative phosphorylation diseases. 22 Complex I is the first site of the respiratory chain, produced by the assembly of 35 to 37 nuclear DNA and 7 mtDNA-encoded subunits. Since mtDNA is particularly vulnerable to oxidative stress, accumulation of mtDNA mutations leads to further impairment in oxidative phosphorylation and increases oxidative stress within the cell. 2325  
In genotype–phenotype analysis, we found that NTG patients bearing a T genotype in the m.4883C>T variant exhibit worse mean deviation values of the visual field when compared to those of the C genotype. Identification of genetic variants that are associated with glaucoma or with glaucoma severity can contribute to better understanding of the disease mechanisms. 26 Since glaucoma is a late-onset disease, it can be difficult to know when the disease actually was developed. However, the determination of genotype–phenotype correlation is important because earlier onset of the disease could result in increased visual disability later in life. 27 Our results suggested that the m.4883C>T variant accounts for the more severe form of NTG, which may require intensive treatment. 
In this study, 148 mitochondrial DNA sequence variants were observed in 20 patients with NTG. Of these, 20 nonsynonymous mtDNA changes were detected, which were not considered to be LHON mutations. Results of the present study corresponded with those of an earlier study that reported 27 different novel nonsynonymous mtDNA changes in primary open-angle glaucoma (POAG) patients, and most of these mtDNA sequence alterations in patients with POAG were transversions, meaning sequence changes that alter the purine/pyrimidine orientation and imply oxidative stress. 7 In this study, however, only 3 (15%) of the 20 nonsynonymous mtDNA changes were transversions. Furthermore, the nonsynonymous mtDNA changes from the earlier study were not observed in our results, suggesting that mitochondrial abnormalities may have a different role in the pathogenesis of NTG and POAG. However, the discovery sample set in this study is relatively small. This may limit the final recovery of functionally relevant variants associated with NTG. 
Of the 148 mtDNA abnormalities, we selected 21 candidate variants according to their frequency from the discovery sample. Some variants were known to be associated with certain complex diseases, like Parkinson disease or major depressive disorders. 2832 Given that glaucoma has some typical features that are similar to neurodegenerative diseases, 33 we speculated that mtDNA mutations could create a genetic susceptibility for the development of glaucoma. Moreover, the mtDNA mutations tend to accumulate with age, possibly affecting the mitochondrial function, and providing a link between aging and glaucoma. 3436  
Several mtDNA haplogroups were found to be associated with longevity, carcinogenesis, and other metabolic and degenerative diseases. Haplogroup D is one of these mtDNA haplogroups, which is defined by the specific variations of m.5178C>A and m.4883C>T in ND2 gene. The m.5178C>A variant is reported to be associated with longevity and also a variety of human disorders. 37,38 There are a few studies suggesting the association of some types of cancers (endometrial cancer, esophageal cancer, and lung cancer) with m.4883C>T. 3941 However, this association is based on a background of haplogroup D, not with m.4883C>T. Therefore, to the best of our knowledge, our study is the first to demonstrate the association of this variant with a phenotype. However, the m.4883C>T variant, which was significantly associated with NTG in our study, is a synonymous one; therefore, it is questionable that this variant will have some direct effect on protein function or structure. Further investigation is necessary for the linking of the discovered variants to mitochondrial dysfunction and NTG phenotype. 
The condition of NTG is highly prevalent in Korea and Japan; therefore, the distinction between the NTG and the control groups may be confounded with population ancestry and not necessarily with disease risk. This is because the mtDNA position 4883 is a characteristic mutation of haplogroup D, which is found in Japan. However, population-based comparisons confirmed that present-day Japanese have closest genetic affinity to Northern Asian populations, especially to Koreans. 42 Moreover, the incidence of haplogroup D in Korea is similar to that in Japan. 42,43 Therefore, examination of the ancestry of mtDNA was not required in our study. 
Mammalian mtDNA is present at high copy numbers in all cells of the body, which gives rise to characteristic features of mitochondrial genetics: homoplasmy and heteroplasmy. Occasionally, a subpopulation of mtDNA molecules carries pathogenic mutations. When this heteroplasmic mtDNA is present during embryogenesis, it can lead to a variety of clinical symptoms predominantly affecting muscle and nerve, along with other tissues, albeit on a lower scale. 44 In the presence of heteroplasmy, there is a threshold level of mutation that is important for the clinical expression of the disease and for biochemical defects. 45 Many disease-causing mtDNA variants are heteroplasmic and their clinical manifestation depends on the relative proportion of mutant versus normal mitochondrial genomes. 45 In our study, the heteroplasmy level ranged from 5% to 13%. However, low heteroplasmy level does not exclude pathogenic potential for the variant concerned. 
Mitochondrial dysfunction has been suggested in the pathophysiology of a number of neurodegenerative diseases. The high concentration of mitochondria at the optic nerve head may reflect a high requirement of ATP as the primary site of glaucomatous axonal injury. 6 The extent of mtDNA damage accumulating in various tissues correlates with those tissues most prone to age-related dysfunction. Mitochondrial dysfunction may have a role in the pathogenesis of glaucoma through direct involvement in a number of cellular processes, including aging, oxidative damage, and excitotoxicity. 33 Considering that glaucoma has a disproportionate prevalence among specific ethnic groups, 46 it is necessary to evaluate data from a broader ethnic distribution to better understand the spectrum of mitochondrial abnormalities in glaucoma patients. 
In conclusion, this study revealed a spectrum of mtDNA variants in patients with NTG. Our results identified a synonymous change, m.4883C>T variant, which was more prevalent in the NTG cohorts than in the controls. This finding suggested that the identified variant may be a genetic risk factor for the development of NTG. 
Supplementary Materials
Acknowledgments
Supported by the Korea Health Technology R&D Project, Ministry of Health & Welfare, Republic of Korea (Grants A101310 and A121615). 
Disclosure: J.W. Jeoung, None; M.-W. Seong, None; S.S. Park, None; D.M. Kim, None; S.H. Kim, None; K.H. Park, None 
References
Sommer A Tielsch JM Katz J Racial differences in the cause-specific prevalence of blindness in east Baltimore. N Engl J Med . 1991; 325: 1412–1417. [CrossRef] [PubMed]
Klein BE Klein R Sponsel WE Prevalence of glaucoma. The Beaver Dam Eye Study. Ophthalmology . 1992; 99: 1499–1504. [CrossRef] [PubMed]
Quigley HA Vitale S. Models of open-angle glaucoma prevalence and incidence in the United States. Invest Ophthalmol Vis Sci . 1997; 38: 83–91. [PubMed]
Michelson G Groh MJ. Screening models for glaucoma. Curr Opin Ophthalmol . 2001; 12: 105–111. [CrossRef] [PubMed]
Goldberg I Hollows FC Kass MA Becker B. Systemic factors in patients with low-tension glaucoma. Br J Ophthalmol . 1981; 65: 56–62. [CrossRef] [PubMed]
Barron MJ Griffiths P Turnbull DM Bates D Nichols P. The distributions of mitochondria and sodium channels reflect the specific energy requirements and conduction properties of the human optic nerve head. Br J Ophthalmol . 2004; 88: 286–290. [CrossRef] [PubMed]
Abu-Amero KK Morales J Bosley TM. Mitochondrial abnormalities in patients with primary open-angle glaucoma. Invest Ophthalmol Vis Sci . 2006; 47: 2533–2541. [CrossRef] [PubMed]
Ju WK Liu Q Kim KY Elevated hydrostatic pressure triggers mitochondrial fission and decreases cellular ATP in differentiated RGC-5 cells. Invest Ophthalmol Vis Sci . 2007; 48: 2145–2151. [CrossRef] [PubMed]
Matullo G Di Gaetano C Guarrera S. Next generation sequencing and rare genetic variants: from human population studies to medical genetics. Environ Mol Mutagen . 2013; 54: 518–532. [CrossRef] [PubMed]
Mathieson I McVean G. Differential confounding of rare and common variants in spatially structured populations. Nat Genet . 2012; 44: 243–246. [CrossRef] [PubMed]
Gravel S Henn BM Gutenkunst RN Demographic history and rare allele sharing among human populations. Proc Natl Acad Sci U S A . 2011; 108: 11983–11988. [CrossRef] [PubMed]
Andrews RM Kubacka I Chinnery PF Lightowlers RN Turnbull DM Howell N. Reanalysis and revision of the Cambridge reference sequence for human mitochondrial DNA. Nat Genet . 1999; 23: 147. [CrossRef] [PubMed]
Adzhubei IA Schmidt S Peshkin L A method and server for predicting damaging missense mutations. Nat Methods . 2010; 7: 248–249. [CrossRef] [PubMed]
Finnila S Lehtonen MS Majamaa K. Phylogenetic network for European mtDNA. Am J Hum Genet . 2001; 68: 1475–1484. [CrossRef] [PubMed]
Accetturo M Santamaria M Lascaro D Human mtDNA site-specific variability values can act as haplogroup markers. Hum Mutat . 2006; 27: 965–974. [CrossRef] [PubMed]
Allingham RR Liu Y Rhee DJ. The genetics of primary open-angle glaucoma: a review. Exp Eye Res . 2009; 88: 837–844. [CrossRef] [PubMed]
Izzotti A Longobardi M Cartiglia C Sacca SC. Mitochondrial damage in the trabecular meshwork occurs only in primary open-angle glaucoma and in pseudoexfoliative glaucoma. PLoS One . 2011; 6: e14567. [CrossRef] [PubMed]
Osborne NN. Pathogenesis of ganglion “cell death” in glaucoma and neuroprotection: focus on ganglion cell axonal mitochondria. Prog Brain Res . 2008; 173: 339–352. [PubMed]
Huoponen K Lamminen T Juvonen V Aula P Nikoskelainen E Savontaus ML. The spectrum of mitochondrial DNA mutations in families with Leber hereditary optic neuroretinopathy. Hum Genet . 1993; 92: 379–384. [CrossRef] [PubMed]
Lamminen T Huoponen K Sistonen P mtDNA haplotype analysis in Finnish families with leber hereditary optic neuroretinopathy. Eur J Hum Genet . 1997; 5: 271–279. [PubMed]
Wallace DC. Mitochondrial DNA sequence variation in human evolution and disease. Proc Natl Acad Sci U S A . 1994; 91: 8739–8746. [CrossRef] [PubMed]
Chol M Lebon S Benit P The mitochondrial DNA G13513A MELAS mutation in the NADH dehydrogenase 5 gene is a frequent cause of Leigh-like syndrome with isolated complex I deficiency. J Med Genet . 2003; 40: 188–191. [CrossRef] [PubMed]
Richter C Park JW Ames BN. Normal oxidative damage to mitochondrial and nuclear DNA is extensive. Proc Natl Acad Sci U S A . 1988; 85: 6465–6467. [CrossRef] [PubMed]
Wei YH Lu CY Lee HC Pang CY Ma YS. Oxidative damage and mutation to mitochondrial DNA and age-dependent decline of mitochondrial respiratory function. Ann N Y Acad Sci . 1998; 854: 155–170. [CrossRef] [PubMed]
Croteau DL Stierum RH Bohr VA. Mitochondrial DNA repair pathways. Mutat Res . 1999; 434: 137–148. [CrossRef] [PubMed]
Melki R Lefort N Brezin AP Garchon HJ. Association of a common coding polymorphism (N453S) of the cytochrome P450 1B1 (CYP1B1) gene with optic disc cupping and visual field alteration in French patients with primary open-angle glaucoma. Mol Vis . 2005; 11: 1012–1017. [PubMed]
Pasquale LR Loomis SJ Kang JH CDKN2B-AS1 genotype-glaucoma feature correlations in primary open-angle glaucoma patients from the United States. Am J Ophthalmol . 2013; 155: 342–353. [CrossRef] [PubMed]
van der Walt JM Nicodemus KK Martin ER Mitochondrial polymorphisms significantly reduce the risk of Parkinson disease. Am J Hum Genet . 2003; 72: 804–811. [CrossRef] [PubMed]
Takasaki S. Mitochondrial SNPs associated with Japanese centenarians, Alzheimer's patients, and Parkinson's patients. Comput Biol Chem . 2008; 32: 332–337. [CrossRef] [PubMed]
Rollins B Martin MV Sequeira PA Mitochondrial variants in schizophrenia, bipolar disorder, and major depressive disorder. PLoS One . 2009; 4: e4913. [CrossRef] [PubMed]
Kokaze A Ishikawa M Matsunaga N Combined effect of longevity-associated mitochondrial DNA 5178 C/A polymorphism and coffee consumption on the risk of hyper-LDL cholesterolemia in middle-aged Japanese men. J Hum Genet . 2010; 55: 577–581. [CrossRef] [PubMed]
Sawabe M Tanaka M Chida K Mitochondrial haplogroups A and M7a confer a genetic risk for coronary atherosclerosis in the Japanese elderly: an autopsy study of 1,536 patients. J Atheroscler Thromb . 2011; 18: 166–175. [CrossRef] [PubMed]
Kong GY Van Bergen NJ Trounce IA Crowston JG. Mitochondrial dysfunction and glaucoma. J Glaucoma . 2009; 18: 93–100. [CrossRef] [PubMed]
Kujoth GC Hiona A Pugh TD Mitochondrial DNA mutations, oxidative stress, and apoptosis in mammalian aging. Science . 2005; 309: 481–484. [CrossRef] [PubMed]
Navarro A Boveris A. The mitochondrial energy transduction system and the aging process. Am J Physiol Cell Physiol . 2007; 292: C670–686. [CrossRef] [PubMed]
Lascaratos G Garway-Heath DF Willoughby CE Chau KY Schapira AH. Mitochondrial dysfunction in glaucoma: understanding genetic influences. Mitochondrion . 2012; 12: 202–212. [CrossRef] [PubMed]
Tanaka M Gong JS Zhang J Yoneda M Yagi K. Mitochondrial genotype associated with longevity. Lancet . 1998; 351: 185–186. [CrossRef] [PubMed]
Matsunaga H Tanaka Y Tanaka M Antiatherogenic mitochondrial genotype in patients with type 2 diabetes. Diabetes Care . 2001; 24: 500–503. [CrossRef] [PubMed]
Xu L Hu Y Chen B Mitochondrial polymorphisms as risk factors for endometrial cancer in southwest China. Int J Gynecol Cancer . 2006; 16: 1661–1667. [CrossRef] [PubMed]
Li XY Guo YB Su M Cheng L Lu ZH Tian DP. Association of mitochondrial haplogroup D and risk of esophageal cancer in Taihang Mountain and Chaoshan areas in China. Mitochondrion . 2011; 11: 27–32. [CrossRef] [PubMed]
Zheng S Qian P Li F Association of mitochondrial DNA variations with lung cancer risk in a Han Chinese population from southwestern China. PLoS One . 2012; 7: e31322. [CrossRef] [PubMed]
Tanaka M Cabrera VM Gonzalez AM Mitochondrial genome variation in eastern Asia and the peopling of Japan. Genome Res . 2004; 14: 1832–1850. [CrossRef] [PubMed]
Lee HY Yoo JE Park MJ Chung U Kim CY Shin KJ. East Asian mtDNA haplogroup determination in Koreans: haplogroup-level coding region SNP analysis and subhaplogroup-level control region sequence analysis. Electrophoresis . 2006; 27: 4408–4418. [CrossRef] [PubMed]
Lightowlers RN Chinnery PF Turnbull DM Howell N. Mammalian mitochondrial genetics: heredity, heteroplasmy and disease. Trends Genet . 1997; 13: 450–455. [CrossRef] [PubMed]
Taylor RW Turnbull DM. Mitochondrial DNA mutations in human disease. Nat Rev Genet . 2005; 6: 389–402. [CrossRef] [PubMed]
Wadhwa SD Higginbotham EJ. Ethnic differences in glaucoma: prevalence, management, and outcome. Curr Opin Ophthalmol . 2005; 16: 101–106. [CrossRef] [PubMed]
Table 1
 
Characteristics of Study Subjects
Table 1
 
Characteristics of Study Subjects
Discovery Sample Validation Sample
NTG Patients, n = 20 NTG Patients, n = 196 Normal Controls, n = 202 P Value
Age, y 58.5 ± 9.3 57.0 ± 13.4 59.0 ± 15.3 0.184*
Sex ratio, male-to-female 5:15 89:107 98:104 0.603†
Baseline IOP, mm Hg 15.3 ± 2.4 15.3 ± 2.7 15.0 ± 2.8 0.286*
Family history of glaucoma 5 (25.0%) 28 (14.3%) 0 (0.0%) <0.001†
Social history
 Smoking 3 (15.0%) 19 (9.7%) 22 (10.9%) 0.820†
 Consumption of alcohol 6 (30.0%) 71 (36.2%) 78 (38.6%) 0.697†
Medical history
 Diabetes 2 (10.0%) 24 (12.2%) 21 (10.4%) 0.672†
 Hypertension 1 (5.0%) 64 (32.7%) 55 (27.2%) 0.284†
Humphrey C30-2 visual field
 MD, dB −6.88 ± 4.78 −7.99 ± 8.75
 PSD, dB 8.65 ± 5.24 6.52 ± 4.53
Table 2
 
Nonsynonymous mtDNA Nucleotide Changes
Table 2
 
Nonsynonymous mtDNA Nucleotide Changes
Nucleotide Substitution Gene Amino Acid Substitution Location Heteroplasmy Level, % PolyPhen-2 Prediction Base Substitution
m.3745G>A ND1 p.Ala147Thr Complex I 13 Benign Transition
m.4129A>G ND1 p.Thr275Ala Complex I NA Benign Transition
m.4824A>G ND2 p.Thr119Ala Complex I NA Possibly damaging Transition
m.5178C>A ND2 p.Leu237Met Complex I NA Probably damaging Transversion
m.5442T>C ND2 p.Phe325Leu Complex I NA Benign Transition
m.6102T>C COX1 p.Phe67Leu Complex IV 6 Benign Transition
m.6114A>G COX1 p.Met71Val Complex IV 8 Possibly damaging Transition
m.8414C>T ATP8 p.Leu17Phe ATP synthase NA Probably damaging Transition
m.8701A>G ATP6 p.Thr59Ala ATP synthase NA Benign Transition
m.8794C>T ATP6 p.His90Tyr ATP synthase NA Benign Transition
m.8860A>G ATP6 p.Thr112Ala ATP synthase NA Benign Transition
m.8894A>T ATP6 p.Asn123Ile ATP synthase 11 Benign Transversion
m.10398A>G ND3 p.Thr114Ala Complex I NA Benign Transition
m.10854T>C ND4 p.Leu32Pro Complex I 5 Probably damaging Transition
m.12005T>C ND4 p.Trp416Arg Complex I 6 Benign Transition
m.12358A>G ND5 p.Thr8Ala Complex I NA Unknown Transition
m.12436C>A ND5 p.His34Asn Complex I 11 Probably damaging Transversion
m.14766C>T CYTB p.Thr7Ile Complex III NA Benign Transition
m.15071T>C CYTB p.Tyr109His Complex III NA Benign Transition
m.15326A>G CYTB p.Thr194Ala Complex III NA Benign Transition
Table 3
 
Genotype Frequencies of mtDNA Sequence Changes in NTG Patients and Normal Control Subjects
Table 3
 
Genotype Frequencies of mtDNA Sequence Changes in NTG Patients and Normal Control Subjects
mtDNA Sequence Changes Haplogroup Associated Disease Location Amino Acid Substitution Genotype Patients Controls P Value*
m.663A>G A RNR1 gene A 169 178 1.000
G 20 20
m.709G>A RNR1 gene G 155 155 0.525
A 35 42
m.4883C>T D ND2 gene C 139 171 0.002
T 55 31
m.5178C>A D Longevity, blood iron metabolism ND2 gene p.Leu237Met C 138 140 0.825
A 55 60
m.5231G>A L0a ND2 gene G 186 193 0.797
A 8 7
m.5417G>A N9 ND2 gene G 185 186 0.392
A 9 14
m.8414C>T D4 Longevity ATP8 gene p.Leu17Phe C 144 145 0.641
T 46 53
m.8701A>G L/M ATP6 gene p.Thr59Ala A 89 84 0.478
G 105 115
m.8794C>T A Exercise endurance, coronary atherosclerosis risk ATP6 gene p.His90Tyr C 174 179 1.000
T 20 20
m.9540T>C L/M COX3 gene T 83 110 0.020
C 108 88
m.10398A>G M PD protective factor, longevity, altered cell PH, metabolic syndrome, breast cancer risk ND3 gene p.Thr114Ala A 77 65 0.143
G 117 135
m.10400C>T M ND3 gene C 85 82 0.611
T 109 118
m.10873T>C L/M ND4 gene T 86 81 0.478
C 110 121
m.12358A>G N9a ND5 gene p.Thr8Ala A 186 189 1.000
G 9 10
m.12372G>A U Altered brain pH ND5 gene G 180 190 0.211
A 15 9
m.12705C>T N/M/L ND5 gene C 57 49 0.310
T 139 151
m.14668C>T D4 Major depressive disorder ND6 gene C 147 145 0.564
T 47 54
m.14766C>T HV CYTB gene p.Thr7Ile C 6 0 0.030
T 189 193
m.14783T>C M CYTB gene T 86 79 0.539
C 109 114
m.15043G>A M Major depressive disorder CYTB gene G 86 81 0.476
A 108 119
m.15301G>A L/M CYTB gene G 87 81 0.417
A 108 119
Table 4
 
Comparison of the Clinical Features of NTG Patients With and Without m.4883C>T mtDNA Sequence Changes
Table 4
 
Comparison of the Clinical Features of NTG Patients With and Without m.4883C>T mtDNA Sequence Changes
mtDNA Sequence Changes Clinical Features Genotype P Value
C, n = 139 T, n = 55
m.4883C>T Age at diagnosis, y 50.5 ± 12.6 53.0 ± 15.7 0.316*
Sex ratio, male-to-female 61:78 27:28 0.620†
Baseline IOP, mm Hg 15.3 ± 2.6 15.1 ± 2.8 0.598*
MD value of visual field, dB −7.15 ± 5.48 −10.03 ± 8.26 0.009*
×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×