ABSTRACT. Stargardt disease (STGD) is an inherited genetic eye condition involving bilateral macular dystrophy leading to progressive central vision loss. It is the most common form of autosomal recessive juvenile macular dystrophy. In this study, ELOVL4 and PRPH2 genes were analyzed in 30 STGD probands for genetic variations using nextgeneration sequencing. In the patient group, two genetic variants in exon 6 of ELOVL4, and three in exon 3 of PRPH2 were detected. All sequence modifications in both ELOVL4 and PRPH2 were recorded, including those of a non-pathogenic nature. In the control group, four different genetic variations were detected in ELOVL4, and five in PRPH2. STGD patients of different ethnicities may carry distinct ELOVL4 and PRPH2 sequence variants. We believe that the genetic variations identified in this study may be related to STGD etiopathogenesis.
Osteoporosis is a common disorder, with prolongation of the average life span it has become a major public health problem. On the formation of osteoporosis genetic factors and environmental influences could play a role then it is considered as multi-factorial. Because a variety of functions to affect susceptibility to the formation of osteoporosis VDR-F, VDR-B, COL1A1, ESR1X, ESR1P and CTR are thought to be candidate genes. In this study, the aim is to investigate the relationship between these genes polymorphism and bone mineral density (BMD) values of lumbar vertebra and femoral neck in 188 Turkish people. Lumbar spine and femoral neck BMD of the individuals included in the study were measured by the dual X-ray absorptiometry method. The genotyped polymorphisms by simultaneous amplification of five regions of the genome, containing six SNPs of interest and detecting the amplified product, using the kit MetaBone Clinical Arrays(®). Statistical analyses indicated that; VDR-B gene polymorphisms major (P = 0.013), VDR-F polymorphisms have minor (P = 0.082) effect on femur BMD. None of the other genes has any significant effect on spinal BMD. Patient age, body mass index and diet has significant effect on femoral and spinal BMD. Osteoporosis is a multi-factorial disease and many genetic and non-genetic risk factors contribute to the development of osteoporosis. Early detection of a genetic predisposition to osteoporosis should allow delay and/or limit unfavorable changes in the bone tissue.
New detected ZNF 469 P873T and Q2188H heterozygote coding variants in isolated advance keratoconus patients may be associated with the disease pathogenesis.
ABSTRACT. Age-related macular degeneration (AMD) is a leading cause of blindness in developed countries. The ARMS2 gene has been found to be associated with AMD. Currently, intravitreal ranibizumab (IVR) treatment is one of the widely used treatments for neovascular AMD. The aim of this study was to investigate the association between the genotype of ARMS2 rs10490924 polymorphism and IVR treatment responsiveness in patients with neovascular AMD. The study included 39 patients with advanced neovascular AMD (patient group) and 250 healthy individuals with exome sequencing data (control group). The patient group was divided into three subgroups: GG (N = 10), TG (N = 14), and TT (N = 15). Before IVR treatment, all patients had intraretinal or subretinal fluid or both. They received three monthly IVR-injection treatments. One month after the third injection, the patients were evaluated as either "responders" or "non-responders" based on the presence or absence of intraretinal or subretinal fluid or both. The patient subgroups TG and TT had an 8.56-and 39-fold higher risk of AMD, respectively, than patient subgroup GG had. The allele frequency was 0.537 and 0.10 in the patient and control groups, respectively. Within the patient subgroup TT, there was a significant difference between the "responders" and "non-responders" (P = 0.025). In conclusion, in neovascular AMD patients undergoing IVR treatment, TT genotype tended to be a better predictor of good short-term treatment response, compared to the GG and TG genotypes. Further studies using confirmed genetic biomarkers for individualized optimal treatments are required.
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