Primary congenital glaucoma (PCG) is an autosomal recessive disorder caused predominantly by mutations in the CYP1B1 gene. A total of five frequent single nucleotide polymorphisms (SNPs) have been identified in the coding sequence of CYP1B1: rs10012C>G (p.R48G), rs1056827G>T (p.A119S), rs1056836C>G (p.V432L), rs1056837C>T (p.D449D), and rs1800440A>G (p.N453S). We performed a functional characterization of four common CYP1B1 variants presenting different coding SNP haplotypes (RAVDN, GSLDN, RALDS, and RALDN) and five CYP1B1 mutations reported for PCG patients: c.182G>A (p.G61E), c.608A>G (p.N203S), c.1033_1035del (p.L343del), c.241 T>A (p.Y81N), and c.685G>A (p.E229 K). Each mutation was embedded in its corresponding background SNP haplotype. The common variants revealed variation in enzymatic activity; among them, RAVDN showed the highest activity. Mutants p.G61E, p.N203S, and p.L343del each revealed a residual activity (<10%) of their respective haplotype. The microsomal CYP1B1 abundance relative to total protein also showed variation in common variants and a significant reduction in p.L343del, p.Y81N, and p.E229 K. The free energy of folding (DeltaDeltaG) values suggest that the lower stability of the mutants is one key property leading to the experimentally observed lower protein abundance. Our new measure of relative enzymatic activity (U/mg total protein), which combines activity and abundance values, was significantly lower for all five mutations compared to the corresponding background haplotype. We classified p.Y81N and p.E229 K not as mutations but as hypomorphic alleles, since their relative activity values are intermediate between bona fide mutations and the common variant with the lowest activity (RALDS). We propose that CYP1B1 mutations can act by either reducing enzymatic activity (p.G61E and p.N203S), reducing the abundance of the enzyme (p.Y81N and p.E229 K), or both (p.L343del).
The occurrence of several rare putative disease-causing variants in patients with glaucoma suggests that WDR36 may be a minor disease-causing gene in glaucoma, at least in the German population. The large variability in WDR36, though, requires functional validation of these variants, once its function is characterized.
Background
The aim of this study is to identify differentially methylated regions (DMRs) in the genomes of a sample of cognitively healthy individuals and a sample of individuals with LOAD, all of them nonagenarians from Costa Rica.
Methods
In this study, we compared whole blood DNA methylation profiles of 32 individuals: 21 cognitively healthy and 11 with LOAD, using the Infinium MethylationEPIC BeadChip. First, we calculated the epigenetic age of the participants based on Horvath’s epigenetic clock. DMRcate and Bumphunter were used to identify DMRs. After in silico and knowledge-based filtering of the DMRs, we performed a methylation quantitative loci (mQTL) analysis (rs708727 and rs960603).
Results
On average, the epigenetic age was 73 years in both groups, which represents a difference of over 20 years between epigenetic and chronological age in both affected and unaffected individuals. Methylation analysis revealed 11 DMRs between groups, which contain six genes and two pseudogenes. These genes are involved in cell cycle regulation, embryogenesis, synthesis of ceramides, and migration of interneurons to the cerebral cortex. One of the six genes is PM20D1, for which altered expression has been reported in LOAD. After genotyping previously reported mQTL SNPs for the gene, we found that average methylation in the PM20D1 DMR differs between genotypes for rs708727, but not for rs960603.
Conclusions
This work supports the possible role of PM20D1 in protection against AD, by showing differential methylation in blood of affected and unaffected nonagenarians. Our results also support the influence of genetic factors on PM20D1 methylation levels.
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