Genetics of Keratoconus: Where Do We Stand?
Keratoconus is a progressive thinning and anterior protrusion of the cornea that results in steepening and distortion of the cornea, altered refractive powers, and reduced vision. Keratoconus has a complex multifactorial etiology, with environmental, behavioral, and multiple genetic components contributing to the disease pathophysiology. Using genome-wide and candidate gene approaches several genomic loci and genes have been identified that highlight the complex molecular etiology of this disease. The review focuses on current knowledge of these genetic risk factors associated with keratoconus.
Keratoconus is a corneal ectatic disease that results in bilateral and asymmetrical corneal distortion, altered refractive powers, and reduced vision. The disease usually manifests itself during the late teens or early twenties and shows a slow progression for the next decade or two. The clinical signs of keratoconus are highly variable depending on the stage of progression of the disease and may include stromal thinning, conical protrusion, Fleischer’s ring, Vogt’s striae, increased visibility of nerve fibres, and rupture in Bowman’s layer [1–3].
Keratoconus is known to affect all ethnicities but its incidence exhibits geographical variability plausibly due to forme fruste or subclinical forms of the disease, differences in diagnostic methods and criteria, or differences in genetic variations in such populations . Different population-based studies have evaluated the prevalence of keratoconus among different ethnic groups and the rates are found to be variable. The estimated incidence of keratoconus varies between 1 in 500 and 1 in 2,000 individuals in the general population and the estimated prevalence is reported to be 54.5 per 100,000 [1, 5]. Studies suggest that the prevalence and incidence rates are much higher among Asians than the Caucasian population [6, 7]. In a study undertaken in the Midlands, UK, a prevalence of 4 : 1 and an incidence of 4.4 : 1 were reported in Asians compared to the white Caucasians  while another UK study conducted in Yorkshire found that the incidence was 7.5 times higher in Asians as compared to the whites . Population studies in the Middle East (including the Arabs and non-Arabs) suggest that the incidence of keratoconus is between 20/100,000 and 24.9/100,000 [8, 9] which is comparable to that observed in the Asian-Pacific population [6, 7]. However, in one study from India, the prevalence was reported to be as high as 2.3% (2,300 per 100,000) . The mean age of onset of keratoconus is reported to be 39.3 years . The severity of the disease also varies with race and was reported to be 4.4 and 7.5 times greater among Asian group compared to white Caucasians [6, 7]. And although exact figures are not available, keratoconus is believed to be overrepresented and more aggressive in the Maori and Polynesian populations of New Zealand .
Keratoconus is a multifactorial disease involving complex interaction of both genetic and environmental factors that contribute to the disease manifestation. As with any other diseases of complex etiology, differentiation between association, cause, and effect is very challenging and varies between individuals. Although keratoconus affects both genders, most of the studies suggest a preponderance of men over women [13–15]. In the study by Georgiou et al. keratoconus was 2.6 times more common in males than in females  and five times more common in men than women by Millodot et al. . However, there are studies that either reported no differences among genders  or showed a greater prevalence in females . In some individuals keratoconus may be entirely associated with currently well recognized environmental influences such as contact lens wear, eye rubbing, atopy of the eye, and those related to increased oxidative damage, such as ultraviolet light and yet in another may be solely controlled by genetic mechanisms exhibiting Mendelian inheritance pattern [1, 18]. Studies supporting the role of consanguinity as a risk factor for keratoconus have also been documented [7, 19] providing strong evidence of genetic contribution to the disease and may be relevant in communities practicing consanguineous marriages, such as in Saudi Arabia. However, a majority of keratoconus cases occur as a result of the genetic predisposition triggered by environmental factors . This review summarizes the current knowledge on genetic aspects of keratoconus.
2. Role of Heredity in Keratoconus
A majority of keratoconus cases are sporadic; however, autosomal dominant with reduced penetrance and autosomal recessive mode of inheritance have also been documented [21–24]. First-degree relatives are at much higher risk of the disease than the general population [5, 25]. Monozygotic twins show a high concordance of keratoconus with a greater similarity of phenotypes indicating a strong role of genetic component(s) in the disease phenotype . These data provide strong evidence to support the role of heredity in keratoconus.
3. Genetic Studies in Keratoconus
Corneal topographical assessment, in vivo confocal microscopy, Placido disk analysis, and slit lamp biomicroscopy have greatly aided the diagnosis of keratoconus  but are often highly variable and difficult to interpret in young individuals with mild symptoms. Identification of specific genetic markers may thus be a valuable tool in clinical diagnostics. Multiple genomic approaches have been used to identify chromosomal loci and genes involved in keratoconus.
4. Linkage Studies
Linkage analysis is a powerful tool to map susceptible genetic loci and has been utilized at genome-wide level in keratoconus. To date, 17 distinct genomic loci have been mapped for keratoconus indicating that there exists high degree of genetic heterogeneity in this disease  (Table 1). Unfortunately, only three of these loci, namely, 5q21, 5q32, and 14q11, have been replicated independently . However, using this approach in large extended pedigrees has led to the identification of two potential genes (MIR184 and DOCK9) associated with keratoconus as described below (Table 2).
Using linkage analysis  and fine mapping  a 5.5 Mb region of chromosome 15q22-q24a was identified in a single extended pedigree from Northern Ireland with hereditary keratoconus related with anterior capsular cataract. With deep sequencing using next-generation sequencing technology, three novel variants were identified recently in DNAJA4, IREB2, and MIR184 genes that segregated with the phenotype in this family. A mutation (r.57 c>u) in the micro-RNA (miRNA) gene MIR184 (OMIM 613146) was considered to be the most likely cause . miRNA regulate more than 60% of known genes by the mechanism of mRNA degradation and inhibition of protein translation by binding to the 3′ UTR region of the gene and are known to affect disease phenotypes . MIR184 is abundantly expressed in the cornea and lens epithelia and mutation in the seed region of MIR184 is likely to affect its function. Consistent with this finding, subsequent studies identified the same mutation in families with EDICT syndrome (endothelial dystrophy, iris hypoplasia, congenital cataract, and stromal thinning)  and dominant congenital cataract associated with corneal phenotype . However, a study in 780 keratoconus patients could identify MIR184 variants in only 0.25% (two) patients indicating that variants in MIR184 gene may not account for isolated keratoconus .
In another study in large keratoconus family of Ecuadorian origin Gajecka and colleagues identified a region of 5.59 Mb on chromosome 13q32 consisting of 25 genes using whole-genome single nucleotide polymorphism (SNP) 250 K array . Sequencing of eight candidate genes led to the identification of a novel variant c.2262a>c (Gln745His) in the dedicator of cytokinesis 9 (DOCK9; OMIM 607325) gene that segregated in the family and was absent in ethnically matched controls . DOCK9 is expressed in the cornea and specifically activates CDC42, a G-protein. Although the exact mechanism by which this mutation may cause keratoconus is not clear, it is known that the mutation is located in DHR1 domain which binds phospholipids and may affect recruitment of the protein to the membrane and it is predicted to be “possibly damaging” . Furthermore, this locus contains additional genes, IPO5 (importin 5; OMIM 602008) and STK24 (serine/threonine kinase 24; OMIM 604984), the exact role of which in keratoconus pathogenesis is not known yet. A recent study in Polish patients with sporadic keratoconus, however, reported that keratoconus-related sequence variants in these genes (DOCK9, IPO5, and STK24) were present only in small number of studied patients indicating that these genes may have minor roles to play .
Several other loci have been reported in keratoconus families among different population (listed in Table 1) [18, 23, 24, 38–43]. A locus on 17p13 was reported in a two-generation Pakistani family with autosomal recessive Leber congenital amaurosis and keratoconus . Li et al. reported several regions of linkage on chromosomes 4, 5, 9, 12, and 14 using two-stage genome-wide linkage scan in keratoconus sib pair families of white and Hispanic origin . Similarly, a genome-wide linkage scan in a large Australian pedigree identified two regions of linkage at chromosomal regions 1p36.23-36.21 and 8q13.1-q21.11 . Moreover, Bisceglia et al. provided evidence of linkage replication in keratoconus at chromosome5q21.2 and suggestive linkage at chromosomal regions 5q32-q33, 14q11.2, and 15q2.32 . Despite efforts to screen numerous candidate genes in these loci, identification of causative genes (and mutations), however, remains elusive to a large extent. This may be due to the several limitations posed by linkage studies of complex diseases. The size of genetic effect, power of analysis to identify genes with small effects, presence of phenocopies with reduced penetrance, and various subclinical forms of keratoconus may be the reasons in many instances [45, 46]. With the advent of high-density SNP arrays and whole-genome/exome sequencing using the next-generation sequencing technologies it may now be possible to identify causal genetic variants in chromosomal regions exhibiting linkage in families of keratoconus.
5. Candidate Gene Analysis
Genetic risk factors for keratoconus have been difficult to identify because of the complex etiology of the disease. Among other approaches used to identify genetic components in families with suspected dominant forms of keratoconus, candidate gene analysis has also been employed to study keratoconus cohorts. Based on the underlying biological traits of the disease, candidate genes are predicted depending on their known biological functions and expression patterns relevant to the disease. Candidate gene approaches are particularly useful in studying complex multifactorial diseases and enables us to identify even small gene effects using large case-control cohorts. Similar approach has been commonly employed in keratoconus among different populations targeting potential genes involved in craniofacial and ocular development, extracellular matrix, collagens, apoptosis, and oxidative stress related pathways (Table 2).
Keratoconus exhibits overlapping pathophysiology with other corneal dystrophies . Although clinically distinct, posterior polymorphous corneal dystrophy (PPCD) has been associated with keratoconus suggesting a common genetic pathway . Mutations in visual system homeobox 1 (VSX1; OMIM 605020) and zinc-finger E-box binding homeobox 1 (ZEB1; OMIM 189909) genes have been previously implicated in PPCD [42, 49] and hence their role in keratoconus has been investigated. VSX1 is a member of the paired-like homeodomain transcription factors family that plays a role in craniofacial and ocular development. VSX1 is expressed by keratocytes only in injured corneas and is associated with fibroblastic transformation suggesting its role in response to wound and making it a potential candidate involved in corneal diseases . The gene is mapped to chromosome 20p11.21. Since the first report by Héon and colleagues  numerous studies have evaluated the association of variants in VSX1 and keratoconus [4, 51–56]. Two synonymous (rs56157240 and rs12480307) and one missense tag SNP (rs6050307) in the VSX1 gene were found to be significantly associated with keratoconus in Han Chinese population . Similarly, two heterozygous mutations (N151S and G160V) and an intragenic polymorphism (IVS1-11a allele) were significantly associated with increased risk of keratoconus in Korean patients . The G160V accounted for 5.3% (13/249) of the study population. However, the results have been contradictory so far and this includes our own study in Saudi cohorts that failed to show any association [58–61]. Some of these common variants reported in VSX1 are listed in Table 3. Although VSX1 remains the most commonly studied gene the data from various populations suggests that variations in VSX1 account for only 2-3% of keratoconus cases and may not have a major role in the molecular etiology of keratoconus reflecting the polygenic nature of this disease. To date there is only one recent study in unrelated European patients supporting the role of ZEB1 mutations in keratoconus [34, 62] that needs to be replicated. Another gene associated with multiple types of corneal dystrophy includes an extracellular matrix gene, transforming growth factor beta-induced (TGFBI; OMIM 190180) . A novel nonsense mutation (G535X) has been reported in a Chinese patient with keratoconus  but replication studies to confirm the role of TGFBI in keratoconus are lacking.
Based on disease pathogenesis of keratoconus, genetic alterations in collagen pathway that may affect corneal collagen structure/function have also been investigated without much success. No pathological mutations were reported in 104 European keratoconus patients in the COL4A3 (OMIM 120070) and COL4A4 (OMIM 120131) genes; however, significant allelic effects were seen for D326Y variant in COL4A3 and M1237V and F1644F variants in COL4A4 . However, variants in COL4A3 and COL4A4 failed to show any association in Han Chinese population . Similarly, variants in COL4A1 (OMIM 120130) and COL4A2 (OMIM 120090) genes failed to segregate with the disease in Ecuadorian families  and the role of COL8A1 (OMIM 120251) and COL8A2 (OMIM 120252) in keratoconus has also been excluded . Keratoconus is associated with eye rubbing in atopic patients . Filaggrin (FLG; OMIM 135940) mutations are a strong genetic risk factor for atopic dermatitis. Mechanical injury to the keratoconic corneal epithelium results in keratocyte apoptosis via the interleukin 1 (IL1) pathway causing stromal thinning . For these reasons, FLG and IL1 have been suggested as candidate genes for keratoconus. Only five patients (5.6%) were found to be carriers of at least one FLG mutation of the two prevalent loss-of-function FLG alleles (R501X and 2282del4) indicating the need to look for other FLG mutations and/or other candidate genes . IL1B (OMIM 147720) promoter polymorphisms, rs1143627 (−31t>c) and rs16966 (−511c>t), were first reported to be associated with increased risk of keratoconus in Korean patients by Kim et al. . The study also reported a decreased risk of the disease with an intronic IL1A (OMIM 147760) +376c>a polymorphism (rs2071376). Recently, Mikami and colleagues replicated the association of polymorphisms in IL1B (rs1143627, −31t>c and rs16944, −511c>t) and reported that the haplotype was associated with 1.72-fold increased risk of disease in Japanese keratoconus patients . There are no functional studies yet to identify the role of these SNPs in the development of keratoconus. However, the data does suggest that polymorphisms in IL1B are important risk factors for susceptibility to keratoconus and must be investigated in other keratoconic populations.
In yet another recent study using linkage and candidate gene approach Li and colleagues identified a region of 5 Mb on chromosome 5q15 consisting of gene encoding calpastatin (CAST; OMIM 114090), an endogenous inhibitor of calpains . SNP (rs4434401) located in CAST gene was associated with both familial and sporadic keratoconus making it an interesting candidate to be tested in other ethnic groups. Other candidate genes screened in keratoconus cohorts include TIMP3 (OMIM 188826), SPARC (OMIM 182120), and SOD1 (OMIM 147450). The tissue inhibitors of metalloproteinases (TIMPs) are natural inhibitors of matrix metalloproteinases and the balance between the two regulates remodeling of the extracellular matrix. TIMP3 has been shown to be differentially expressed in keratoconic corneas . However, no pathogenic variants have been identified in keratoconus patients . SPARC is localized to a chromosomal region 5q31.3-g32 that was suggestive of linkage in familial keratoconus  making it an interesting candidate. Three novel missense mutations (E63K, c.187g>a; M92I, c.276g>a; and D219E, c.657c>a) have been reported in Italian patients with keratoconus that were not detected in 200 controls; however, it is not clear yet whether these are rare polymorphisms or causative mutations and need further investigation . Since oxidative stress has been hypothesized to play a role in the etiology of keratoconus [75, 76] and given the association of trisomy 21 (Down syndrome) with keratoconus, association of variants in SOD1 gene localized on chromosome 21 has also been investigated. Although an intronic deletion in SOD1 was found to segregate in two small families with keratoconus , this finding has not been consistent in additional cohorts, including in Saudi cohorts , and so far accounts for less than 1% of keratoconus cases.
6. Keratoconus and the Mitochondrial Connection
It was previously reported that mitochondrial oxidative stress in Tet-mev-1 mice causes excessive apoptosis in several tissues leading to precocious age-dependent corneal physiological changes, delayed corneal epithelialization, decreased corneal endothelial cells, thickened Descemet’s membrane, and thinning of parenchyma with corneal pathological dysfunctions such as keratitis, Fuchs’ corneal dystrophy (FCD), and probably keratoconus . Under TEM, swelling of the mitochondria was observed in keratoconus corneal tissues . Keratoconus corneas exhibited more mitochondrial DNA (mtDNA) damage than normal corneas . Keratoconus fibroblasts had increased basal generation of reactive oxygen species and were more susceptible to stressful challenges (low-pH and/or H2O2 conditions) than were normal fibroblasts . Additionally, cultured keratoconus fibroblasts have an inherent, hypersensitive response to oxidative stress that involves mitochondrial dysfunction and mtDNA damage . As a result, it was suggested that keratoconus fibroblast hypersensitivity may play a role in the development and progression of keratoconus . A large number of variations including two novel frameshift mutations in mitochondrial complex I (ND1-6) gene of the mitochondrial genome have been reported in keratoconus patients negative for VSX1 mutations . Similarly, Abu-Amero and colleagues had recently shown that mtDNA mutations were present in keratoconus patients from Saudi Arabia . In addition, our recent study showed that the mean relative mtDNA content was found to be significantly higher in patients with keratoconus than the normal control subjects . Future studies in large cohorts of multiple ethnic populations are needed to establish the role of oxidative stress in keratoconus and the relevance of mitochondrial genes which in parts may provide insights into the pathophysiological mechanisms of this complex disease.
7. Keratoconus Associated with Other Disorders
Keratoconus has been associated with numerous systemic and ocular disorders, including Leber congenital amaurosis [86, 87], X-linked hypohidrotic ectodermal dysplasia with mutation in EDA (OMIM 300451) gene , Williams-Beuren syndrome , brittle cornea syndrome , Costello syndrome , intellectual disability , and other corneal dystrophies (PPCD and Fuchs’ endothelial dystrophy) [62, 93]. Individuals with Down syndrome have 10–300-fold higher prevalence of keratoconus [1, 94]. Other chromosomal abnormalities include Turner syndrome , chromosome 13 ring anomaly , and translocation 7;11 . Similarly, individuals with connective tissue disorders such as Marfan syndrome , Ehlers-Danlos syndrome , and mitral valve prolapse  also show an increased prevalence of keratoconus. Such observations imply that either these disorders may provide environmental triggers for manifestation of keratoconus or they share a common underlying genetic mechanism(s). However, the caveat to this plausibility is that the mutations in the causative genes for such disorders have not been found to be enriched or causative in isolated keratoconus cases. Therefore, the exact relevance of increased prevalence of keratoconus associated with these genetic disorders is still not known.
8. Genome-Wide Association Studies
Genome-wide association studies (GWAS) in case-control cohorts provide a powerful platform to identify common risk variants in complex genetic disease. These studies identify SNP(s) that are in linkage disequilibrium with causative variants and require large population-based samples to achieve a genome-wide significance (). To this end, GWAS has been performed in keratoconus, albeit in relatively small number of patients. A recent segregation analysis in unrelated sporadic keratoconus families indicated that keratoconus is a complex non-Mendelian disease with low genotype-phenotype correlation and suggested the use of GWAS, epigenetics, and pathway analyses in nonfamilial keratoconus . Using GWAS, Burdon and colleagues identified a SNP (rs3735520) at the HGF (OMIM 142409) locus to be associated with keratoconus in cohorts from Australia, USA, and Northern Ireland . In another GWAS, Li and colleagues identified a SNP (rs4954218) located near RAB3GAP1 (OMIM 602536) as a potential susceptibility locus for keratoconus in Caucasian cohorts from USA . In both these GWAS the results did not achieve a genome-wide significant value. The findings of SNP rs4954218 have been replicated in an Australian Caucasian cohort and represent a strong candidate for keratoconus .
Li and colleagues performed a two-stage genome-wide linkage scan in keratoconus families and identified a locus at chromosome 5q23.2, overlapping the gene encoding lysyl oxidase (LOX; OMIM 153455) . LOX is involved in corneal collagen and elastin cross-linking . Artificial collagen fibre cross-linking following riboflavin and UV light exposure is a procedure currently being tested for the treatment of keratoconus and therefore this gene may have therapeutic implications . Two SNPs (rs10519694 and rs2956540) in LOX showing nominal genome-wide significance were associated with keratoconus by family-based association testing that were also found to be significantly associated with keratoconus in case-control cohorts . Other studies so far have provided conflicting evidence for the role of LOX in keratoconus [51, 108].
An alternative approach to case-control GWAS would be to test for association with intermediate phenotypes and identify the heritable quantitative trait loci. An elegant example of this approach was demonstrated by Lu and colleagues to identify multiple loci associated with central cornea thickness (CCT) and keratoconus . In a large (>20,000) European and Asian population-based sample the study reported 16 new loci associated with CCT at genome-wide significance. The authors then investigated the association of these CCT-linked loci with risk of keratoconus in 874 cases and 6,085 controls. This meta-analysis identified six SNPs within or nearby FOXO1 (rs2721051), FNDC3B (rs4894535), RXRA-COL5A1 (rs1536482), MPDZ-NFIB (rs1324183), COL5A1 (rs7044529), and BANP-ZNF469 (rs9938149) genes/loci that were strongly associated with the risk of keratoconus. Interestingly, a deleterious mutation in ZNF469 (OMIM 612078) is known to cause brittle cornea syndrome which is associated with extremely thin and fragile cornea . However, the GWAS showed an unexpected effect direction for SNP rs9938149 in BANP-ZNF469, with the CCT-increasing allele leading to increased risk for keratoconus, implying that, in addition to alternative mechanisms which may be specific for keratoconus, part of the genetic predisposition to keratoconus is mediated through the genes underlying CCT . The association of SNPs rs1324183 and rs9938149 with keratoconus has been replicated in an independent Australian cohort; however, their association was via a noncorneal curvature route . Using a similar approach Li and colleagues identified polymorphisms (rs1536482 and rs7044529) in the COL5A1 (OMIM 120215) region which regulate normal variation in CCT and may play a role in corneal thinning associated with keratoconus .
9. Chromosomal Copy Number Alterations
Copy number variation (CNV) is also a significant molecular mechanism in Mendelian diseases. These variants can be detected on a genome-wide level using microarray-based comparative genomic hybridization. In our previous study in 20 Saudi patients with isolated nonfamilial keratoconus we did not detect any chromosomal variations that would account for the disease .
10. Gene Expression Studies
In addition to the numerous studies focused on identifying genes using DNA-based approaches, few studies have also investigated the mRNA transcriptome to identify functional genes and the disease pathways. Microarray analysis of 11 keratoconus and 8 normal corneal epithelium samples resulted in identification of 47 genes that were upregulated and 9 genes that were downregulated. The keratin 72 (KRT72 OMIM 608246) gene was the most upregulated (5.2-fold) gene identified in this study . Another study identified genes in apoptosis pathway that were differentially expressed suggesting a role in stromal thinning . Mootha and colleagues reported a 212-fold decrease in alcohol dehydrogenase 1B (class I) beta polypeptide (ADH1B; OMIM 103720) mRNA levels in cultured keratocytes . Similarly, to identify differentially expressed genes in human keratocytes, Lee et al. performed PCR-based differential analysis on cultured corneal stromal fibroblasts from normal and keratoconic corneas. The study reported upregulation of bone morphogenetic protein 4 (BMP4; OMIM 112262), cofilin 1 (CFL1; OMIM 601442), and JAW1-related protein (MRVI1; 604673) and downregulation of actin, alpha 2 (ACTA2; OMIM 102620), gene rich cluster, C 10 gene (GRCC10; OMIM 615140), tissue inhibitor of metalloproteinases 1 and 3 (TIMP1; OMIM 305370 and TIMP3), and somatostatin receptor 1 (SSTR1; OMIM 182451) . A novel cornea-expressed gene, aquaporin 5 (AQP5; OMIM 600442), was found to be downregulated in keratoconic corneas as compared to controls . In another study using pooled patients corneas, microarray analysis identified 87 differentially expressed genes that belonged to pathways of apoptosis and regulation of cellular differentiation and proliferation. Of these, a majority of 69 genes were found to be downregulated, controlled by transcription factor AP1 .
Overall, the data from gene expression studies suggest a role of genes involved in apoptosis, cellular differentiation, and proliferation pathways which supports the proteomic data. Unfortunately, none of the studies help validate genes identified from DNA-based genetic studies with the exception of extracellular matrix genes (TIMP1 and TIMP3). In addition, the identification of AQP5 could not be replicated in another study . However, the role of other genes (e.g., BMP4, CFL1) identified by differential expression analysis as a potential mediator of keratoconus requires further studies. Gene expression is known to be tissue and cell specific. The use of different tissue and cell types, forme fruste of keratoconus, and methods used for expression studies may be the likely cause(s).
There is sufficient data to suggest that keratoconus has a major genetic predisposition. Current understanding supports a complex etiology involving both genetic and environmental factors. A number of genetic susceptibility loci have been implicated in keratoconus and there exists genetic heterogeneity rather than a single major gene-effect responsible for development and progression of keratoconus. Family-based studies have led to the identification of MIR184 and DOCK9 genes in cases with familial keratoconus; however, the replication of locus identified in a specific keratoconus family in other families (even in homogeneous population) has been very limited. Identification of a mutation in MIR184 in keratoconus opens a new area of research to study miRNA regulation in eye diseases. Despite numerous efforts potentially pathogenic variants have been identified in only small number of keratoconus patients and a majority of causative genes and mutations remain to be unraveled. Although VSX1 only accounts for rare cases, it still remains the most studied keratoconus gene. However, it is unclear whether and how mutations in VSX1 contribute to the pathogenesis of keratoconus. Other candidate genes including SOD1, ZEB1, TGFB1, FLG, interleukin, and collagen may have a role to play in the pathogenesis of keratoconus and need further elucidations. Similarly, other candidate genes identified by GWAS including HGF, RAB3GAP1, LOX, MPDZ, NFIB, BANP, and ZNF469 may be important risk factors for keratoconus and require replication studies in other populations. Gene expression analyses are a valuable tool in addition to other approaches in identifying candidate genes and to elucidate the pathogenesis of keratoconus. In addition, identification of heritable quantitative trait loci can provide an alternative approach for selection and analysis of candidate genes in keratoconus  and has been successfully demonstrated in Australian cohort . The subclinical forms of keratoconus may be a confounding factor and complicate the identification of common genetic defects. It is therefore important to include clinically well-defined and accurately classified patients to minimize phenotypic differences. With increased utilization of high-density SNP arrays and whole-genome/exome sequencing technologies it will now be possible to apply genome-wide approach to identify causal genetic variants in both familial and sporadic forms of keratoconus and at a more rapid pace; until then the molecular pathogenesis of keratoconus remains heterogeneous.
Conflict of Interests
The authors declare that there is no conflict of interests regarding the publication of this paper.
Drs. Khaled K. Abu-Amero and Altaf A. Kondkar are supported by the Glaucoma Research Chair at Department of Ophthalmology (Supervisor: Dr. Saleh A. Al-Obeidan), College of Medicine, King Saud University, Riyadh, Saudi Arabia.
M. Stabuc-Silih, M. Strazisar, M. Ravnik-Glavac, M. Hawlina, and D. Glavac, “Genetics and clinical characteristics of keratoconus,” Acta Dermatovenerologica Alpina, Panonnica, et Adriatica, vol. 19, no. 2, pp. 3–10, 2010.View at: Google Scholar
R. H. Kennedy, W. M. Bourne, and J. A. Dyer, “A 48-year clinical and epidemiologic study of keratoconus,” American Journal of Ophthalmology, vol. 101, no. 3, pp. 267–273, 1986.View at: Google Scholar
K. Zadnik, J. T. Barr, T. B. Edrington et al., “Baseline findings in the collaborative longitudinal evaluation of keratoconus (CLEK) study,” Investigative Ophthalmology and Visual Science, vol. 39, no. 13, pp. 2537–2546, 1998.View at: Google Scholar
A. E. Davidson, S. Hayes, A. J. Hardcastle, and S. J. Tuft, “The pathogenesis of keratoconus,” Eye, vol. 28, no. 2, pp. 189–195, 2014.View at: Google Scholar
A. E. Hughes, D. P. Dash, A. J. Jackson, D. G. Frazer, and G. Silvestri, “Familial keratoconus with cataract: linkage to the long arm of chromosome 15 and exclusion of candidate genes,” Investigative Ophthalmology and Visual Science, vol. 44, no. 12, pp. 5063–5066, 2003.View at: Publisher Site | Google Scholar
Y. Wang, Y. S. Rabinowitz, J. I. Rotter, and H. Yang, “Genetic epidemiological study of keratoconus: evidence for major gene determination,” American Journal of Medical Genetics, vol. 93, no. 5, pp. 403–409, 2000.View at: Google Scholar
H. Tyynismaa, P. Sistonen, S. Tuupanen et al., “A locus for autosomal dominant keratoconus: linkage to 16q22.3-q23.1 in Finnish families,” Investigative Ophthalmology and Visual Science, vol. 43, no. 10, pp. 3160–3164, 2002.View at: Google Scholar
C. A. Jordan, A. Zamri, C. Wheeldon, D. V. Patel, R. Johnson, and C. N. J. McGhee, “Computerized corneal tomography and associated features in a large New Zealand keratoconic population,” Journal of Cataract and Refractive Surgery, vol. 37, no. 8, pp. 1493–1501, 2011.View at: Publisher Site | Google Scholar
D. P. Dash, G. Silvestri, and A. E. Hughes, “Fine mapping of the keratoconus with cataract locus on chromosome 15q and candidate gene analysis,” Molecular Vision, vol. 12, pp. 499–505, 2006.View at: Google Scholar
J. A. Karolak, P. Polakowski, J. Szaflik, J. P. Szaflik, and M. Gajecka, “Molecular screening of keratoconus susceptibility sequence variants in VSX1, TGFBI, DOCK9, STK24, and IPO5 genes in Polish patients and novel TGFBI variant identification,” Ophthalmic Genetics, vol. 18, pp. 1–7, 2014.View at: Publisher Site | Google Scholar
J. Fullerton, P. Paprocki, S. Foote, D. A. Mackey, R. Williamson, and S. Forrest, “Identity-by-descent approach to gene localisation in eight individuals affected by keratoconus from north-west Tasmania, Australia,” Human Genetics, vol. 110, no. 5, pp. 462–470, 2002.View at: Publisher Site | Google Scholar
A. Hameed, S. Khaliq, M. Ismail et al., “A novel locus for Leber congenital amaurosis (LCA4) with anterior keratoconus mapping to chromosome 17p13,” Investigative Ophthalmology and Visual Science, vol. 41, no. 3, pp. 629–633, 2000.View at: Google Scholar
P. de Bonis, A. Laborante, C. Pizzicoli et al., “Mutational screening of VSX1, SPARC, SOD1, LOX, and TIMP3 in keratoconus,” Molecular Vision, vol. 17, pp. 2482–2494, 2011.View at: Google Scholar
S. Saee-Rad, H. Hashemi, M. Miraftab et al., “Mutation analysis of VSX1 and SOD1 in Iranian patients with keratoconus,” Molecular Vision, vol. 17, pp. 3128–3136, 2011.View at: Google Scholar
P. Paliwal, R. Tandon, D. Dube, P. Kaur, and A. Sharma, “Familial segregation of a VSX1 mutation adds a new dimension to its role in the causation of keratoconus,” Molecular Vision, vol. 17, pp. 481–485, 2011.View at: Google Scholar
K. K. Abu-Amero, H. Kalantan, and A. M. Al-Muammar, “Analysis of the VSX1 gene in keratoconus patients from Saudi Arabia,” Molecular Vision, vol. 17, pp. 667–672, 2011.View at: Google Scholar
F. L. Munier, B. E. Frueh, P. Othenin-Girard et al., “BIGH3 mutation spectrum in corneal dystrophies,” Investigative Ophthalmology and Visual Science, vol. 43, no. 4, pp. 949–954, 2002.View at: Google Scholar
M. Stabuc-Silih, M. Ravnik-Glavac, D. Glavac, M. Hawlina, and M. Strazisar, “Polymorphisms in COL4A3 and COL4A4 genes associated with keratoconus.,” Molecular vision, vol. 15, pp. 2848–2860, 2009.View at: Google Scholar
J. A. Karolak, K. Kulinska, D. M. Nowak et al., “Sequence variants in COL4A1 and COL4A2 genes in ecuadorian families with keratoconus,” Molecular Vision, vol. 17, pp. 827–843, 2011.View at: Google Scholar
S. E. Wilson, Y.-G. He, J. Weng et al., “Epithelial injury induces keratocyte apoptosis: hypothesized role for the interleukin-1 system in the modulation of corneal tissue organization and wound healing,” Experimental Eye Research, vol. 62, no. 4, pp. 325–337, 1996.View at: Publisher Site | Google Scholar
S. H. Kim, J. W. Mok, H. S. Kim, and C. K. Joo, “Association of −31T>C and −511 C>T polymorphisms in the interleukin 1 beta (IL1B) promoter in Korean keratoconus patients,” Molecular Vision, vol. 14, pp. 2109–2116, 2008.View at: Google Scholar
T. Mikami, A. Meguro, T. Teshigawara et al., “Interleukin 1 beta promoter polymorphism is associated with keratoconus in a Japanese population,” Molecular Vision, vol. 19, pp. 845–851, 2013.View at: Google Scholar
J.-E. Lee, B. S. Oum, H. Y. Choi, S. U. Lee, and J. S. Lee, “Evaluation of differentially expressed genes identified in keratoconus,” Molecular Vision, vol. 15, pp. 2480–2487, 2009.View at: Google Scholar
A. M. Al-Muammar, H. Kalantan, T. A. Azad, T. Sultan, and K. K. Abu-Amero, “Analysis of the SOD1 gene in keratoconus patients from Saudi Arabia,” Ophthalmic Genetics, 2014.View at: Google Scholar
M. Chwa, S. R. Atilano, V. Reddy, N. Jordan, D. W. Kim, and M. C. Kenney, “Increased stress-induced generation of reactive oxygen species and apoptosis in human keratoconus fibroblasts,” Investigative Ophthalmology and Visual Science, vol. 47, no. 5, pp. 1902–1910, 2006.View at: Publisher Site | Google Scholar
D. Pathak, B. Nayak, M. Singh, N. Sharma, J. S. Titiyal, and R. Dada, “Mitochondrial complex 1 gene analysis in keratoconus,” Molecular Vision, vol. 17, pp. 1514–1525, 2011.View at: Google Scholar
K. K. Abu-Amero, A. A. Kondkar, T. A. Azad, T. Sultan, H. Kalantan, and A. M. Al-Muammar, “Keratoconus increases the copy number of mitochondrial DNA,” Molecular Vision. In press.View at: Google Scholar
M. J. Elder, “Leber congenital amaurosis and its association with keratoconus and keratoglobus,” Journal of Pediatric Ophthalmology and Strabismus, vol. 31, no. 1, pp. 38–40, 1994.View at: Google Scholar
M. Piccione, G. Serra, C. Sanfilippo, E. Andreucci, I. Sani, and G. Corsello, “A new mutation in EDA gene in X-linked hypohidrotic ectodermal dysplasia associated with keratoconus,” Minerva Pediatrica, vol. 64, no. 1, pp. 59–64, 2012.View at: Google Scholar
H. Al-Hussain, S. M. Zeisberger, P. R. Huber, C. Giunta, and B. Steinmann, “Brittle cornea syndrome and its delineation from the kyphoscoliotic type of Ehlers-Danlos syndrome (EDS VI): report on 23 patients and review of the literature,” American Journal of Medical Genetics, vol. 124A, no. 1, pp. 28–34, 2004.View at: Google Scholar
B. Koller, T. F. Neuhann, and I. M. Neuhann, “Keratoplasty in patients with intellectual disability,” Cornea, vol. 33, no. 1, pp. 10–13, 2014.View at: Google Scholar
M. Macsai, E. Maguen, and P. Nucci, “Keratoconus and Turner's syndrome,” Cornea, vol. 16, no. 5, pp. 534–536, 1997.View at: Google Scholar
C. J. Heaven, F. Lalloo, and E. McHale, “Keratoconus associated with chromosome 13 ring abnormality,” British Journal of Ophthalmology, vol. 84, no. 9, p. 1079, 2000.View at: Google Scholar
X. Li, Y. Bykhovskaya, T. Haritunians et al., “A genome-wide association study identifies a potential novel gene locus for keratoconus, one of the commonest causes for corneal transplantation in developed countries,” Human Molecular Genetics, vol. 21, no. 2, pp. 421–429, 2012.View at: Publisher Site | Google Scholar
F. Hasanian-Langroudi, R. Saravani, M. H. Validad, G. Bahari, and D. Yari, “Association of Lysyl oxidase (LOX) polymorphisms with the risk of Keratoconus in an Iranian population,” Ophthalmic Genetics, 2014.View at: Google Scholar
S. Sahebjada, M. Schache, A. J. Richardson et al., “Evaluating the association between keratoconus and the corneal thickness genes in an independent Australian population,” Investigative Ophthalmology & Visual Science, vol. 54, no. 13, pp. 8224–8228, 2013.View at: Google Scholar
X. Li, Y. Bykhovskaya, A. L. C. Canedo et al., “Genetic association of COL5A1 variants in keratoconus patients suggests a complex connection between corneal thinning and keratoconus,” Investigative Ophthalmology and Visual Science, vol. 54, no. 4, pp. 2696–2704, 2013.View at: Publisher Site | Google Scholar
K. K. Abu-Amero, A. M. Hellani, S. M. Al Mansouri, H. Kalantan, and A. M. Al-Muammar, “High-resolution analysis of DNA copy number alterations in patients with isolated sporadic keratoconus,” Molecular Vision, vol. 17, pp. 822–826, 2011.View at: Google Scholar
V. V. Mootha, J. M. Kanoff, J. Shankardas, and S. Dimitrijevich, “Marked reduction of alcohol dehydrogenase in keratoconus corneal fibroblasts,” Molecular Vision, vol. 15, pp. 706–712, 2009.View at: Google Scholar
Y. S. Rabinowitz, L. Dong, and G. Wistow, “Gene expression profile studies of human keratoconus cornea for NEIBank: a novel cornea-expressed gene and the absence of transcripts for aquaporin 5,” Investigative Ophthalmology and Visual Science, vol. 46, no. 4, pp. 1239–1246, 2005.View at: Publisher Site | Google Scholar
M. Macé, S. D. Galiacy, A. Erraud et al., “Comparative transcriptome and network biology analyses demonstrate antiproliferative and hyperapoptotic phenotypes in human keratoconus corneas,” Investigative Ophthalmology and Visual Science, vol. 52, no. 9, pp. 6181–6191, 2011.View at: Publisher Site | Google Scholar
Y. Garfias, A. Navas, H. J. Pérez-Cano, J. Quevedo, L. Villalvazo, and J. C. Zenteno, “Comparative expression analysis of aquaporin-5 (AQP5) in keratoconic and healthy corneas,” Molecular Vision, vol. 14, pp. 756–761, 2008.View at: Google Scholar