Abstract
purpose. Primary open-angle glaucoma (POAG) is a common disease requiring early diagnosis and treatment to avoid asymptomatic visual field loss and eventual blindness. LMX1B mutations cause dominantly-inherited Nail-Patella syndrome in which approximately 33% of patients develop glaucoma. This study investigated the wider role of LMX1B in POAG.
methods. The contribution of variation at the LMXIB locus to risk of glaucoma was investigated in a case-control genetic association study in 272 patients with high-tension glaucoma (HTG), 37 patients with normal-tension glaucoma (NTG), 58 patients with ocular hypertension (OHT), and 276 controls.
results. Significant SNP associations were found for each patient group: rs7859156 was associated with HTG (P = 0.0015; odds ratio [OR], 0.64) and OHT (P = 0.0482; OR, 0.59); rs7854658 was associated with NTG (P = 0.0041; OR, 0.30). A protective ATG haplotype (including rs7859156) was less prevalent in patients with raised intraocular pressure (22.7% in combined HTG+OHT group vs. 31.7% in controls; P = 0.0005), and in patients with glaucoma (22.9% in combined HTG+NTG group vs. 31.7% in controls; P = 0.0008). ATG carriers in these combined groups had a decreased risk of developing glaucoma (OR, 0.72 and OR, 0.73, respectively). A GCAGAC haplotype (including rs7854658) was also less prevalent in glaucoma patients (16.5% vs. 24.7%; P = 0.0005) and carriers had a decreased risk of developing glaucoma (OR, 0.70).
conclusions. LMX1B haplotypes influence susceptibility to glaucoma in the general population, suggesting altered LMX1B function predisposes to glaucomatous damage and that this role may be independent of raised intraocular pressure.
Glaucoma is the second leading cause of blindness world-wide, affecting approximately 67 million people.
1 Primary open-angle glaucoma (POAG) is the most common form, with an estimated prevalence of 1.2% for the age group 40 to 89 years in the white UK population.
2 High-tension glaucoma (HTG) with raised intraocular pressure (IOP > 21 mm Hg) is the most common form of POAG, whereas the less common normal-tension glaucoma (NTG) shows IOP within the normal range. POAG is characterized by progressive retinal ganglion cell death, resulting in visual field loss and a typical excavation of the optic nerve head. Substantial disease progression frequently occurs before diagnosis. However, sight can often be preserved if early diagnosis is made.
3
Raised IOP is recognized as one of the strongest known risk factors for glaucoma.
4 5 6 7 Individuals with ocular hypertension (OHT) have raised IOP without clinical signs of a glaucomatous optic neuropathy; however, 10% will convert to POAG over a 10-year period.
8 Other risk factors include age,
9 10 black ethnicity,
11 reduced central corneal thickness (CCT),
12 enlarged cup/disc ratio (CDR),
13 14 15 and family history of the disease.
16
Population-based studies showed that the prevalence of glaucoma in siblings of patients was 10.4%, with the lifetime risk of glaucoma being 9.2 times higher in siblings and offspring of glaucoma patients compared to siblings and offspring of controls.
16 Moreover, twin studies found a higher degree of concordance among monozygotic twins.
17 18 Genetic linkage studies in rare pedigrees showing Mendelian patterns of adult-onset POAG inheritance have identified 14 genetic loci (GLC1A-N).
19 20 21 22 23 24 25 26 27 28 29 Notably however, few of these genes have been robustly associated with POAG in the general population. Among the three identified genes
MYOC (GLC1A),
OPTN (GLC1E), and
WDR36 (GLC1G), only
MYOC is established as directly causative, while due to conflicting results, the exact roles of
OPTN 30 31 and
WDR36 32 in POAG remain uncertain. In addition, mutations in
MYOC account for only a small—approximately 5%—of POAG.
33 34 35 36 37 The emerging view is that POAG is a complex, multifactorial disease resulting from interactions between several genetic and environmental factors.
38 While linkage studies have been the predominant method used to identify POAG loci, with advances in genome technology and bioinformatics it has become feasible to undertake studies to unravel the complex genetics of glaucoma. Association studies using single nucleotide polymorphisms (SNPs) offer a proficient method for assessing candidate genes with small effects
39 and are increasingly being applied to elucidate genetic mechanisms in complex disease.
40 Even small cohorts have proved to be remarkably powerful.
41
Genes that cause developmental glaucoma,
42 with the exception of the
CYP1B1 gene, have yet to be assessed as genetic susceptibility factors for POAG.
CYP1B1 causes primary congenital glaucoma. It is also involved in cases of juvenile open-angle glaucoma (JOAG)
43 44 and a recent study identified a
CYP1B1 polymorphism as a susceptibility factor for POAG.
45 46 Developmental glaucoma refers to glaucomas that are associated with developmental malformations of the anterior segment of the eye.
47 Anterior segment dysgenesis (ASD) may lead to an incomplete development, or dysfunction, of the structures that form the aqueous drainage pathway, and can result in IOP elevation secondary to aqueous outflow obstruction, predisposing to glaucoma.
42 Between 30% and 75% of ASD patients develop glaucoma, and a number of gene mutations have been identified underlying these conditions.
48 49 50 We hypothesize that subclinical mutations/polymorphisms in genes that are important for anterior segment development may produce subtle and undetected abnormalities in anterior segment structure and/or function which predispose to glaucoma. Therefore, the presence of specific alleles of these genes may be a significant susceptibility factor for the development of POAG.
The murine
Lmx1b gene is expressed in the developing anterior segment, in the trabecular meshwork and ciliary body, which are the sites of aqueous drainage and production, respectively.
51 Lmx1b encodes a LIM homeobox transcription factor that regulates programs of gene expression essential for normal morphogenesis and cell differentiation of the anterior segment.
51 Targeted homozygous mutation resulted in ASD phenotypes, including iris and ciliary body hypoplasia, and corneal stromal defects.
51 Significantly, mutations in the human homologue
LMX1B on chromosome 9q34.1 cause a rare autosomal dominant condition, Nail-Patella Syndrome (NPS; Mendelian Inheritance in Man [MIM] 161200) in which approximately 33% of patients over aged 40 years develop open-angle glaucoma.
52 As well as causing dysplasia of the nails and absent or hypoplastic patellae,
LMX1B mutations cause a spectrum of ocular phenotypes that vary in severity, including rare anterior segment anomalies of iris processes, ptosis, hypertelorism, epicanthal folds, bilateral sclerocornea, microcornea, keratoconus, congenital cataracts, and microphakia.
53 54 55 However, developmental abnormalities of the anterior segment are not clinically detectable in patients carrying
LMX1B mutation in the majority of cases,
52 56 a feature which is more consistent with POAG.
In this study, we investigate whether variant alleles of LMX1B play a role in POAG in the general population. We perform a case-control genetic association study to compare the prevalence of LMX1B SNPs in four groups—HTG, NTG, OHT, and a normal control group. LMX1B haplotypes were identified and their prevalence assessed in patients with glaucomatous optic neuropathy (HTG and NTG patients), and in patients with raised IOP (HTG and OHT patients). LMX1B has not been analyzed in any association studies to date, and here we identify protective LMX1B haplotype associations for both glaucoma and raised IOP.
Methods
Recruitment of Patients
All the participating subjects were recruited from glaucoma outpatient clinics at the Sunderland Eye Infirmary (Sunderland, UK), a secondary ophthalmology referral center. The subjects were treated in accordance with the Declaration of Helsinki. Informed consent was obtained from all participants after the nature and possible consequences of the study were explained. The study had Local Research Ethics Committee approval. A cohort of HTG cases (n = 272), and unrelated controls (n = 276) matched for ethnicity, age, and sex were recruited to the study. Cases with NTG (n = 37) and OHT (n = 58) were also collected. All cases (n = 367) and controls were of white British descent.
Control participants, either accompanying spouses or friends of individuals with glaucoma, were recruited randomly. All controls underwent a complete ophthalmic examination to exclude individuals with glaucoma from the control group, and were confirmed to have no visual complaints and IOP of less than 22 mm Hg with a normal disc appearance. Individuals with a family history of glaucoma were excluded.
All case subjects underwent a complete ophthalmic examination, including best visual acuity and visual field testing (Humphrey SITA standard 24-2 perimetry; Carl Zeiss Meditec AG, Jena, Germany), slit-lamp examination of the anterior segment (including gonioscopy), measurement of IOP by Goldmann applanation tonometer, posterior segment examination of the retina and optic disc after pupil dilation, and measurement of the CDR. Adult individuals with a diagnosis of HTG, NTG, or OHT older than aged 40 years were enrolled based on the following clinical criteria:
-
Presence of glaucomatous optic neuropathy (defined by loss of neuroretinal rim) with compatible and reproducible visual field loss for HTG and NTG, and absence of detectable glaucomatous damage or field loss for OHT;
-
Open drainage angles on gonioscopy;
-
IOP consistently 22 mmHg or greater on diurnal testing for HTG and OHT, and 21 mm Hg or less for NTG;
-
Absence of a secondary cause for glaucomatous optic neuropathy;
-
Absence of nonglaucomatous field losses and disc changes (i.e., high myopia).
Selection and Analysis of Single Nucleotide Polymorphisms
We used a tagging single nucleotide polymorphism (tSNP) approach to screen the LMX1B gene including 10 kb of upstream and downstream flanking region in patient and control groups, using tSNPs selected from the HapMap database (HapMap Data Release #22/Phase II Apr 2007; http://www.hapmap.org). Genotyping was performed by high-throughput SNP genotyping (Genomics Laboratory, Wellcome Trust Centre for Human Genetics, Cambridge, UK; MassARRAY iPLEX Assay; Sequenom Inc, San Diego, CA). (Details of primer sequences and SNP genotyping provided on request.) Allele frequencies for each SNP were tested for agreement with Hardy-Weinberg expectations (P > 0.05) using a χ2 goodness-of-fit test.
LD and Haplotype Structure of the LMX1B Genomic Region
Haplotypes were inferred using haplotype analysis software (Haploview v.4.0; www.broad.mit.edu /mpg/haploview), and associations between tSNP or haplotype and glaucoma were investigated. The method of Gabriel et al., as implemented in Haploview,
57 was used to construct LD blocks from tSNPs with minor allele frequencies (MAF) of 5% or more. LD between tSNPs was measured by the pairwise
D′ statistic and the LD structure was examined using the 80% confidence bounds of
D′ to define sites of historical recombination between tSNPs.
Haplotypes were constructed from genotype data in the full-size case-control panel within blocks by using an accelerated expectation-maximization algorithm method.
58 In each haplotype block, common haplotypes with frequencies of 1% or more were inferred that accounted for >98% of the chromosomes. Differences in genotype and haplotype frequencies between cases and controls were determined using a χ
2 distribution with 2° of freedom. Permutation testing was performed to calculate corrected
P values for multiple testing with 1000 simulations.
SNP and haplotype effects were investigated with and without adjustment for the covariates of age and sex using analysis software (THESIAS v.3.1; www.genecanvas.org). Thesias is based on the maximum likelihood model described in Tregouet et al.
59 Odds ratios (ORs) were calculated (THESIAS v.3.1 with 95% confidence intervals (CIs) for each genotype, with the respective wild-type as the reference), and covariate-adjusted haplotype-phenotype by comparison to the most frequent haplotype.
Results
Among the cases, 272 (74.3%) were classified as HTG, 37 (10.1%) as NTG, and 58 (15.6%) as OHT
(Table 1) . The mean IOP was significantly higher in the HTG and OHT groups compared with the control group, whereas CDR was significantly higher in the HTG and NTG groups compared to controls
(Table 1) .
A total of 23 tagging SNPs (with MAF > 0.10 at a minimum
r 2 of 0.8) spanning a region of 102,314 bp, including the 82,314 bp
LMX1B gene, were selected from the HapMap database and genotyped in all individuals
(Fig. 1) . The genotype distributions of these 23 SNPs in the controls did not differ from those expected from Hardy-Weinberg equilibrium. The pairwise LD matrix revealed six main haplotype blocks
(Fig. 2) .
Associations between Individual SNPs and Glaucoma
The allele frequencies of the 23 tSNPs among the three separate case groups (HTG, NTG, OHT) and controls were assessed; tSNPs showing significant effects are shown in
Table 2 .
In the HTG group, four tSNPs (all situated in intron 2) had allele frequencies that differed significantly between patients and controls. Protective allele frequencies of rs7859156, rs6478750, and rs7854658 were higher in controls than in HTG patients (P = 0.0015, 0.0258, and 0.0057, respectively), with ORs of 0.64, 0.72, and 0.65, respectively, after adjustment for sex. By contrast, the risk allele frequency of rs10987385 was higher in the HTG patients than in controls (P = 0.0180), with an OR of 1.43 after adjustment for sex.
In the OHT group, two of these tSNPs (both situated in intron 2) had allele frequencies that differed significantly between patients and controls. Protective allele frequencies of rs7859156 and rs6478750 were higher in controls than in OHT patients (P = 0.0482 and P = 0.0309, respectively), both with ORs of 0.59 after adjustment for age.
In the NTG group, five tSNPs had allele frequencies that differed significantly between NTG patients and controls, but only one of these alleles (rs7854658) was in common with the significant HTG tSNPs. The protective allele frequency of rs7854658 was higher in the controls than in NTG patients (P = 0.0041) with an OR of 0.30. In addition, risk allele frequencies of rs944103, rs16929236, rs10733682, and rs867559 were higher in NTG patients than in controls (P = 0.0488, 0.0064, 0.0489, and 0.0295, respectively), with ORs of 1.71, 2.30, 1.75, or 1.82, respectively, after adjustment for sex. rs7854658 and rs944103 are situated in intron 2, whereas rs16929236, rs10733682, and rs867559 are situated in the 3′ region of LMX1B. After permutation testing, all P values for these differences between patients in each group and controls increased beyond the significant level of 0.05, except for rs7859156, which had a permutated P value of 0.0376 after 1000 tests in the HTG group.
Next, we tested the allele frequencies of the 23 tSNPs in the combined groups of all patients with raised IOP (HTG and OHT), or all patients with glaucomatous optic neuropathy—that is, all the POAG patients (HTG and NTG), compared with the control group. In both groups, HTG+OHT and HTG+NTG, the same four tSNPs had an allele frequency that differed significantly between patients and controls
(Table 2) . Protective allele frequencies of rs7859156, rs6478750, and rs7854658 were higher in controls than cases, and risk allele frequencies of rs10987385 were higher in patients than in controls. In both combined groups, tSNP rs7859156, remained significantly different after 1000 permutation tests (
P < 0.05). In addition, in the combined POAG case group (HTG+NTG), a second tSNP rs7854658 remained significantly different after permutation testing.
Associations between Haplotypes and Raised IOP (OHT+HTG)
We examined the difference in frequency distribution of all common haplotypes between the combined raised IOP patient group (HTG+OHT) and the controls
(Table 3)and found a significant haplotype effect of block 2 and block 3. Theseeffects replicated those found in the separate HTG group
(Table 4) . Within block 2, two haplotypes (ATG and ACG defined by tSNPs rs12336217, rs7859156, and rs10819190) were differentially distributed in patients and controls
(Table 3) . Of these, haplotype ATG was most significant, and was less prevalent among patients compared with controls (22.7% vs. 31.7%;
P = 0.0005) and remained significant after permutation testing.
Haplotype ATG carriers were at a decreased risk of developing raised IOP compared with noncarriers (OR, 0.72) and this remained significant after adjustment for sex (P = 0.0330). The LD observed between SNPs and different functional effects of the haplotypes are potential sources of bias when studying multiple SNPs. Therefore, haplotype background analysis was performed in Thesias and although rs12336217, rs7859156, and rs10819190 are in LD, the rs7859156 polymorphism exerted an independent decreased risk to glaucoma (OR, 0.54; 95% CI, 0.39–0.75; P = 0.0003).
Within block 3, we observed two haplotypes (GCAGAC, ACAGGT; defined by rs10987385, rs13285227, rs944103, rs12555176, rs7854658, and 10987386) that were differentially distributed in patients and controls, although these associations did not withstand permutation testing
(Tables 3 4) .
These data suggest that LMX1B haplotypes, or perhaps an unknown nearby functional variant in LD, affect IOP and consequently predispose to glaucoma.
Associations between Haplotypes and Glaucoma (HTG+NTG)
Examination of the difference in frequency distribution of all common haplotypes between the combined POAG patient group (HTG+NTG) and the controls
(Table 5)found a significant effect of the same block 2 and block 3 haplotypes on glaucoma. Within block 2, the ACG and ATG haplotypes were differentially distributed in patients and controls, with haplotype ATG showing the strongest effect. ATG was significantly less prevalent among patients compared with controls (22.9% vs. 31.7%;
P = 0.0008) and remained significant after permutation testing. ATG carriers were at a decreased risk of developing glaucoma compared with noncarriers (OR, 0.73), and this remained significant after adjustment for sex (
P = 0.0450). Haplotype background analysis was performed to determine whether any of the tSNPs within the haplotype block 2 had an independent effect on glaucoma risk. Although rs12336217, rs7859156, and rs10819190 are in LD, rs7859156 polymorphism exerted an independent increased risk (OR, 0.54; 95% CI, 0.39–0.75;
P = 0.0002).
Within block 3, we observed three haplotypes (GCAGAC, GCGGGC, and ACAGGT, defined by rs10987385, rs13285227, rs944103, rs12555176, rs7854658, and 10987386) that were differentially distributed in patients and controls; one of these, GCAGAC, was significant after permutation testing. Haplotype GCAGAC was significantly less prevalent among patients compared with controls (16.5% vs. 24.7%; P = 0.0005, and turned into P = 0.0150 after 1000 permutation tests). GCAGAC carriers were at a decreased risk of developing glaucoma compared with noncarriers (OR, 0.70; P = 0.0360) after adjustment for sex in multivariate logistic regression analysis.
Crucially, the relation between haplotypes in block 2 and 3 and glaucoma risk did not persist after adjusting for CDR in Thesias. CDR is significantly increased in both NTG and HTG compared with controls
(Table 1) . Thus, the influence of these
LMX1B haplotypes, or a nearby functional variant in LD, on glaucoma risk may be partially explained by their relation with CDR.
Discussion
Approximately 1% to 2% of individuals 40 years of age or older in the general population develop POAG, compared with 33% of patients with the rare condition NPS (MIM 161200), which is caused by dominant mutations in the LMX1B gene. In this study, we investigated LMX1B as a candidate genetic risk factor for the most common form of glaucoma and identified significant associations between LMX1B alleles and haplotypes and POAG.
In the large HTG cohort, we found that the frequency of the protective tSNP rs7859156 in intron 2 was significantly reduced compared with the controls, and this effect withstood stringent permutation testing. Interestingly, a number of weak associations (with tSNPs rs6478750, rs10987385, and rs7854658) in the HTG group were replicated in the small separate OHT and NTG groups.
The HTG group is characterized by glaucomatous damage and raised IOP. The other two patient groups each have only one of these characteristics, either glaucomatous damage without raised IOP (NTG), or raised IOP without glaucomatous damage (OHT). To test the relationship between the variant alleles of
LMX1B and these two characteristics, we grouped the patients into those with raised IOP (HTG and OHT), or those with glaucomatous damage irrespective of IOP (HTG and NTG). Notably, in both of the combined groups the significant association with the protective tSNP rs7859156 in intron 2 was replicated and enhanced. Moreover, tSNP rs7854658, identified in the separate NTG and HTG groups, was highly significant and withstood permutation testing in the combined NTG+HTG group. This was an interesting result and was confirmed by haplotype analysis, suggesting that the effect of
LMX1B on glaucoma susceptibility may involve functions that are broader than effects on IOP. As the HTG cases are highly represented in the combined groups, in future studies it will be important to establish whether a larger group of NTG cases show a strong association. Recent studies have shown that 26.7% of individuals with NPS older than aged 50 years develop NTG,
54 whereas 11.9% of individuals older than aged 40 years develop OHT.
56 These data are also consistent with the proposal that the role of
LMX1B in glaucoma pathology may be complex.
Several studies have shown that increased CCT may occur in certain types of dominantly inherited developmental glaucoma, including iris hypoplasia (
FOXC1 duplication),
60 aniridia (
PAX6/Pax6),
61 62 and dysgenic lens (
Foxe3).
60 Conversely, a reduced corneal thickness was associated with Axenfeld-Rieger malformation of the anterior segment and
PITX2 mutation.
63 A thinner CCT was also found to be a risk factor for developing POAG in individuals with OHT.
64 CCT data was not collected for the cases and controls in the present study. However, analysis of the relationship between
LMX1B haplotypes and CCT will be important in future work, as like these other developmental glaucoma genes,
LMX1B may affect CCT.
CCT variation is known to affect the accuracy of IOP measurement on applanation tonometry, with thick corneas giving falsely high IOP readings and thin corneas giving falsely low readings.
65 66 In the present study, IOP measurements were checked by a Tono-Pen which is less affected by CCT,
67 in addition to performing applanation tonometry. Although normagrams based on varying CCT exist for adjusting IOP readings,
65 68 69 there is as yet no generally accepted correction formula.
70 However, two recent studies that adjusted IOP for CCT found that the correction did not alter the diagnosis of HTG or NTG,
71 and did not affect the relationship between the prevalence of POAG and IOP, respectively.
72
We identified six main haplotype blocks across the
LMX1B gene. Haplotypes within two of these blocks containing the significantly varying tSNPs were found to show significantly altered distributions in the two combined patient groups, POAG (HTG+NTG) and raised IOP with, or without HTG (HTG+OHT). The block 2 ATG haplotype is associated with both groups and with HTG alone, whereas the block 6 GCAGAC haplotype shows the strongest association with the HTG+NTG group. The block 2 haplotype (spanning a region of ∼6700 bp) and the block 3 haplotype (spanning a region of ∼28,000 bp) are both located within the large intron 2 of
LMX1B. This region shows stretches of greater than 85% conservation between the sequences of humans and mouse, and a functional role (e.g., gene expression regulatory regions) has been suggested.
73 Significantly, the block 2 haplotype is in complete LD with the promoter and 5′ upstream regions.
73 Therefore, despite being an intronic sequence, this haplotype may tag important conserved regions involved in gene regulation.
Our proposal that levels of
LMX1B expression are relevant to risk of elevated IOP and glaucoma is in line with the well-documented sensitivity of ocular development to gene dosage. For example, variations in the copy number of
FOXC1 74 and
PAX6,
75 which are presumed to alter levels of gene expression, or mutations in
PITX2 that increase or decrease levels of transcription factor function,
76 cause anterior segment anomalies and glaucoma. These developmental glaucoma genes are obvious candidates for further association studies for POAG, and it is possible that the combined inheritance of multiple loci may give a greater association with HTG and/or OHT, and may serve as important prognostic indicators in the general population.
Despite the progress in identifying genes that are involved in POAG, understanding of the underlying pathogenic mechanism is still limited. This is partly because if each causal gene only makes a small contribution to the overall phenotype, then unraveling the role each plays in the biochemical and cellular pathways involved in IOP control and retinal ganglion cell function is complex. New insight into a possible
Lmx1b pathway relevant to glaucoma pathology was provided by a report showing mutations in the collagen
Col4a1 gene resulted in ASD with optic nerve hypoplasia, and raised as well as low IOP.
77 Lmx1b is known to directly regulate expression of
Col4a3 and
Col4a4 in the kidney.
78 79 Lmx1b − / − mice showed defective collagen fibrillogenesis in the eye as well as ciliary body hypoplasia,
51 though there is not yet evidence that
Lmx1b regulates
Col4a1. Considered together, our data and other studies suggest that altered LMX1B activity levels cause abnormalities and dysfunction in the IOP-regulating anterior segment structures that are age-related and are clinically undetectable, resulting in POAG. While JOAG can be a consequence of
LMX1B mutation in NPS,
52 56 the mean age at which open-angle glaucoma or OHT has been detected in NPS is older than 40 years, at 63.4 (range, 55–72)
54 and 47.9 years (range, 23 to 78)
56 respectively, a feature consistent with POAG.
This is the first study to show an association between variants of LMX1B and POAG. These data indicate altered LMX1B function may be associated with the common forms of POAG in the general population, and provides a platform for further investigation of LMX1B as a genetic risk factor for adult-onset glaucoma.
Supported by the Royal College of Surgeons of Edinburgh, Alcon Laboratories (UK) Limited, and the Ulverscroft Foundation. Research at the UCL Institute of Child Health and Great Ormond Street Hospital for Children NHS Trust benefits from Research and Development funding received from the NHS Executive.
Submitted for publication June 24, 2008; revised August 29, 2008; accepted February 26, 2009.
Disclosure:
S. Park, Alcon Laboratories (UK) Limited (F);
Y. Jamshidi, Alcon Laboratories (UK) Limited (F);
D. Vaideanu, Alcon Laboratories (UK) Limited (F);
M. Bitner-Glindzicz, Alcon Laboratories (UK) Limited (F);
S. Fraser, Alcon Laboratories (UK) Limited (F);
J.C. Sowden, Alcon Laboratories (UK) Limited (F)
The publication costs of this article were defrayed in part by page charge payment. This article must therefore be marked “
advertisement” in accordance with 18 U.S.C. §1734 solely to indicate this fact.
Corresponding author: Jane C. Sowden, Developmental Biology Unit, UCL Institute of Child Health, 30 Guilford Street, London, WC1N 1EH UK;
j.sowden@ich.ucl.ac.uk.
Table 1. Comparison of Age, Sex, Mean CDR, and Mean IOP between HTG, OHT, NTG, HTG+OHT Group (with Raised IOP), HTG+NTG Group (with Glaucomatous Optic Neuropathy) and Control Group
Table 1. Comparison of Age, Sex, Mean CDR, and Mean IOP between HTG, OHT, NTG, HTG+OHT Group (with Raised IOP), HTG+NTG Group (with Glaucomatous Optic Neuropathy) and Control Group
| NTG | OHT | HTG | Controls | Cases Combined (OHT+HTG) | P * | Cases Combined (NTG+HTG) | P , † |
| n | 37 | 58 | 272 | 276 | 330 | | 309 | |
| Age | 77.51 | 65.19, ‡ | 71.17 | 70.76 | 70.12 | 0.437 | 71.93 | 0.158 |
| (SD) | (8.849) | (11.494) | (10.448) | (9.313) | (10.863) | | (10.462) | |
| % Male | 27.0, ‡ | 41.4 | 54.4, ‡ | 42.8 | 52.1 | 0.022 | 51.1 | 0.047 |
| Mean CDR | 0.7419, ‡ | 0.3629 | 0.7175, ‡ | 0.2120 | 0.6552 | <0.0001 | 0.7204 | <0.0001 |
| (SD) | (0.138) | (0.138) | (0.182) | (0.231) | (0.221) | | (0.177) | |
| Mean IOP | 17.64 | 27.16, ‡ | 29.13, ‡ | 15.45 | 28.79 | <0.0001 | 27.75 | <0.0001 |
| (SD) | (2.090) | (4.021) | (5.506) | (2.352) | (5.326) | | (6.415) | |
Table 2. Distribution of tSNPs between HTG, OHT, NTG, HTG+OHT, and HTG+NTG, Compared to the Wild-Type Control Group
Table 2. Distribution of tSNPs between HTG, OHT, NTG, HTG+OHT, and HTG+NTG, Compared to the Wild-Type Control Group
| Phenotype | tSNP | SNP ID | Allele | Case Counts (%) | Control Counts (%) | P | Permutation P | OR (95% CI) |
| HTG | 4 | rs7859156 | T | 121 (23.1) | 171 (31.8) | 0.0015 | 0.0376 | 0.64 (0.49–0.85) |
| 6 | rs6478750 | C | 193 (36.3) | 236 (42.9) | 0.0258 | NS | 0.72 (0.55–0.93) |
| 7 | rs10987385 | A | 147 (27.7) | 118 (21.5) | 0.0180 | NS | 1.43 (1.07–1.91) |
| 11 | rs7854658 | A | 95 (18.0) | 137 (24.9) | 0.0057 | NS | 0.65 (0.49–0.89) |
| OHT | 4 | rs7859156 | T | 24 (22.2) | 171 (31.8) | 0.0482 | NS | 0.59 (0.34–1.01) |
| 6 | rs6478750 | C | 35 (31.8) | 236 (42.9) | 0.0309 | NS | 0.59 (0.35–0.97) |
| NTG | 9 | rs944103 | G | 41 (55.4) | 238 (43.3) | 0.0488 | NS | 1.71 (1.06–2.77) |
| 11 | rs7854658 | A | 7 (9.7) | 137 (24.9) | 0.0041 | NS | 0.30 (0.14–0.64) |
| 17 | rs16929236 | G | 17 (23.0) | 64 (11.6) | 0.0064 | NS | 2.30 (1.30–4.05) |
| 18 | rs10733682 | A | 44 (59.5) | 260 (47.3) | 0.0489 | NS | 1.75 (1.05–2.90) |
| 21 | rs867559 | G | 22 (29.7) | 104 (18.9) | 0.0295 | NS | 1.82 (1.09–3.05) |
| HTG + OHT | 4 | rs7859156 | T | 145 (22.9) | 171 (31.8) | 7.0E-4 | 0.0120 | 0.63 (0.48–0.82) |
| 6 | rs6478750 | C | 228 (35.5) | 236 (42.9) | 0.0090 | NS | 0.69 (0.54–0.89) |
| 7 | rs10987385 | A | 175 (27.3) | 118 (21.5) | 0.0205 | NS | 1.39 (1.05–1.84) |
| 11 | rs7854658 | A | 116 (18.2) | 137 (24.9) | 0.0047 | NS | 0.66 (0.50–0.88) |
| HTG + NTG | 4 | rs7859156 | T | 138 (23.2) | 171 (31.8) | 0.0013 | 0.0360 | 0.64 (0.49–0.84) |
| 6 | rs6478750 | C | 220 (36.3) | 236 (42.9) | 0.0217 | NS | 0.73 (0.57–0.94) |
| 7 | rs10987385 | A | 162 (26.8) | 118 (21.5) | 0.0366 | NS | 1.35 (1.02–1.79) |
| 11 | rs7854658 | A | 102 (17.0) | 137 (24.9) | 0.0010 | 0.0270 | 0.62 (0.46–0.83) |
Table 3. Distribution of Haplotypes between HTG+OHT Cases and Controls
Table 3. Distribution of Haplotypes between HTG+OHT Cases and Controls
| Haplotype Frequency | All Subjects (%) | Case (%) | Control (%) | P | Permutation P | OR (95% CI) P Value after Adjustment for Sex |
| Block 2 (tSNP 3 to 5) | ACA | 35.6 | 35.8 | 35.2 | 0.8269 | 1.0000 | |
| ACG | 28.8 | 31.7 | 25.4 | 0.0156 | 0.3020 | 1.33 (0.99–1.78) P = 0.0591 |
| ATG | 26.9 | 22.7 | 31.7 | 5.0E-4 | 0.0100 | 0.72 (0.53–0.97) P = 0.0330 |
| GCG | 8.5 | 9.4 | 7.4 | 0.2110 | 0.9987 | |
| Block 3 (tSNP 7 to 12) | GTGGGC | 31.6 | 31.4 | 31.8 | 0.8865 | 1.0000 | |
| GCAGAC | 21.0 | 17.8 | 24.7 | 0.0035 | 0.0710 | 0.75 (0.54–1.03) P = 0.0770 |
| ACAGGT | 11.8 | 14.0 | 9.4 | 0.0143 | 0.2770 | 1.61 (.08–2.41) P = 0.0190 |
| GCGGGC | 11.2 | 12.4 | 9.8 | 0.1574 | 0.9875 | |
| GCAGGC | 10.2 | 9.8 | 10.6 | 0.6668 | 0.9875 | |
| ACATGT | 9.5 | 9.8 | 9.2 | 0.7580 | 1.0000 | |
| ACAGGC | 1.2 | 1.2 | 1.3 | 0.7729 | 1.0000 | |
Table 4. Distribution of Haplotypes between HTG Cases and Controls
Table 4. Distribution of Haplotypes between HTG Cases and Controls
| Haplotype | All Subjects (%) | Case (%) | Control (%) | P | Permutation P | OR (95% CI) P Value after Adjustment for Sex |
| Block 2 (tSNP 3 to 5) | ACA | 35.0 | 34.8 | 35.2 | 0.8804 | 1.0000 | |
| ACG | 28.7 | 32.2 | 25.4 | 0.0129 | 0.2720 | 1.39 (1.02–1.90) P = 0.0377 |
| ATG | 27.4 | 22.8 | 31.7 | 0.0010 | 0.0300 | 0.75 (0.54–1.03) P = 0.0750 |
| GCG | 8.6 | 9.9 | 7.4 | 0.1515 | 0.9770 | |
| Block 3 (tSNP 7 to 12) | GTGGGC | 31.8 | 31.8 | 31.8 | 0.9653 | 1.0000 | |
| GCAGAC | 21.1 | 17.5 | 24.7 | 0.0043 | 0.1040 | 0.73 (0.52–1.02) P = 0.0648 |
| ACAGGT | 11.7 | 14.2 | 9.4 | 0.0128 | 0.2720 | 1.64 (1.09–2.48) P = 0.0189 |
| GCGGGC | 11.0 | 12.3 | 9.8 | 0.1818 | 0.9890 | |
| GCAGGC | 10.1 | 9.5 | 10.6 | 0.4851 | 1.0000 | |
| ACATGT | 9.2 | 9.2 | 9.2 | 0.9892 | 1.0000 | |
| ACAGGC | 1.4 | 1.4 | 1.3 | 0.9327 | 1.0000 | |
Table 5. Distribution of Haplotypes between HTG+NTG Cases and Controls
Table 5. Distribution of Haplotypes between HTG+NTG Cases and Controls
| Haplotype | All Subjects (%) | Case (%) | Control (%) | P | Permutation P | OR (95% CI) P Value after Adjustment for Sex |
| Block 2 (tSNP 3 to 5) | ACA | 35.3 | 35.3 | 35.2 | 0.9718 | 1.0000 | |
| ACG | 28.9 | 32.2 | 25.4 | 0.0110 | 0.2350 | 1.36 (1.01–1.83) P = 0.0437 |
| ATG | 27.1 | 22.9 | 31.7 | 8.0E-4 | 0.0220 | 0.73 (0.54–0.99) P = 0.0450 |
| GCG | 8.4 | 9.3 | 7.4 | 0.2452 | 1.0000 | |
| Block 3 (tSNP 7 to 12) | GTGGGC | 31.6 | 31.4 | 31.9 | 0.8768 | 1.0000 | |
| GCAGAC | 20.4 | 16.5 | 24.7 | 5.0E-4 | 0.0150 | 0.70 (0.51–0.98) P = 0.0360 |
| GCGGGC | 11.9 | 13.9 | 9.8 | 0.0350 | 0.5760 | 1.51 (1.003–2.28) P = 0.0480 |
| ACAGGT | 11.7 | 13.8 | 9.4 | 0.0202 | 0.3980 | 1.6 (1.09–2.46) P = 0.0170 |
| GCAGGC | 10.5 | 10.3 | 10.8 | 0.7689 | 1.0000 | |
| ACATGT | 9.1 | 9.1 | 9.3 | 0.9033 | 1.0000 | |
| ACAGGC | 1.3 | 1.2 | 1.3 | 0.8697 | 1.0000 | |
The authors thank the subjects for their participation in this study: Charles Mein, Paul Rutland, and David Garway-Heath for advice during this study; and Lyn-Louise Buckingham at the Genomics Laboratory, Wellcome Trust Centre for Human Genetics.
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