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1.
Hum Genet ; 136(1): 119-127, 2017 01.
Article in English | MEDLINE | ID: mdl-27844144

ABSTRACT

Anophthalmia, microphthalmia, and coloboma are a genetically heterogeneous spectrum of developmental eye disorders and affect around 30 per 100,000 live births. OLFM2 encodes a secreted glycoprotein belonging to the noelin family of olfactomedin domain-containing proteins that modulate the timing of neuronal differentiation during development. OLFM2 SNPs have been associated with open angle glaucoma in a case-control study, and knockdown of Olfm2 in zebrafish results in reduced eye size. From a cohort of 258 individuals with developmental eye anomalies, we identified two with heterozygous variants in OLFM2: an individual with bilateral microphthalmia carrying a de novo 19p13.2 microdeletion involving OLFM2 and a second individual with unilateral microphthalmia and contralateral coloboma who had a novel single base change in the 5' untranslated region. Dual luciferase assays demonstrated that the latter variant causes a significant decrease in expression of OLFM2. Furthermore, RNA in situ hybridisation experiments using human developmental tissue revealed expression in relevant structures, including the lens vesicle and optic cup. Our study indicates that OLFM2 is likely to be important in mammalian eye development and disease and should be considered as a gene for human ocular anomalies.


Subject(s)
Extracellular Matrix Proteins/genetics , Eye Abnormalities/genetics , Glaucoma, Open-Angle/genetics , Glycoproteins/genetics , Polymorphism, Single Nucleotide , Cell Line, Tumor , Cohort Studies , Eye/embryology , Eye Abnormalities/diagnosis , Eye Proteins/genetics , Gene Deletion , Gene Expression Regulation , Glaucoma, Open-Angle/diagnosis , Glaucoma, Open-Angle/etiology , High-Throughput Nucleotide Sequencing , Humans , Infant , Male
2.
Epilepsy Res ; 105(1-2): 92-102, 2013 Jul.
Article in English | MEDLINE | ID: mdl-23498093

ABSTRACT

PURPOSE: In a recent genome-wide association study for partial epilepsies in the European population, a common genetic variation has been reported to affect partial epilepsy only modestly. However, in complex diseases such as partial epilepsy, multiple factors (e.g. single nucleotide polymorphisms, microRNAs, metabolic and epigenetic factors) may target different sets of genes in the same pathway, affecting its function and thus causing the disease development. In this regard, we hypothesize that the pathways are critical for elucidating the mechanisms underlying partial epilepsy. METHODS: Previously we had developed a novel methodology with the aim of identifying the disease-related pathways. We had combined evidence of genetic association with current knowledge of (i) biochemical pathways, (ii) protein-protein interaction networks, and (iii) the functional information of selected single nucleotide polymorphisms. In our present study, we apply this methodology to a data set on partial epilepsy, including 3445 cases and 6935 controls of European ancestry. RESULTS: We have identified 30 overrepresented pathways with corrected p-values smaller than 10(-12). These pathways include complement and coagulation cascades, cell cycle, focal adhesion, extra cellular matrix-receptor interaction, JAK-STAT signaling pathway, MAPK signaling pathway, proteasome, ribosome, calcium signaling and regulation of actin cytoskeleton pathways. Most of these pathways have growing scientific support in the literature as being associated with partial epilepsy. We also demonstrate that different factors affect distinct parts of the pathways, as shown here on complement and coagulation cascades pathway with a comparison of gene expression vs. genome-wide association study. CONCLUSIONS: Traditional studies on genome-wide association have not revealed strong associations in epilepsies, since these single nucleotide polymorphisms are not shared by most of the patients. Our results suggest that it is more effective to incorporate the functional effect of a single nucleotide polymorphism on the gene product, protein-protein interaction networks and functional enrichment tools into genome-wide association studies. These can then be used to determine leading molecular pathways, which cannot be detected through traditional analyses. We hope that this type of analysis brings the research community one step closer to unraveling the complex genetic structure of epilepsies.


Subject(s)
Databases, Genetic , Epilepsies, Partial/genetics , Gene Regulatory Networks/genetics , Genome-Wide Association Study/methods , Polymorphism, Single Nucleotide/genetics , Signal Transduction/genetics , Epilepsies, Partial/diagnosis , Epilepsies, Partial/epidemiology , Humans
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