Systemic lupus erythematosus (SLE) is an autoimmune disease characterised by the production of autoantibodies and the involvement of multiple organ systems. Systemic sclerosis (SSc) is another autoimmune disease that causes fibrosis. We will aim to analyse the role of killer cell immunoglobulin-like receptor (KIR) genotypes and their existence with the respective HLA ligands in patients with SLE and SSc. Forty-five SLE, 25 SSc and 40 healthy controls were included. We examined the presence/absence of KIR2DL1, 2DL2, 2DL3, 2DL4, 2DL5A, 2DL5B, 2DS1, 2DS1, 2DS2, 2DS3, 2DS4, 2DS5, 3DL1, 3DL2, 3DL3, 3DS1, 2DP1, 3DP1 and their known HLA ligands. In the SLE group, the KIR2DL5, KIR2DL5B and KIR2DS3 genes were significantly more frequent, and KIR2DL3 gene was significantly less than in controls (p values <0.05). In SSc patients, the KIR2DS3 gene was more frequent than in controls (p = 0.032). The KIR2DL3 gene was detected more frequently in controls while KIR2DS3 gene was more frequent in the patient group when SLE and SSc patients were combined (p values < 0.05). The KIR2DS2/HLA-C and KIR2DS2/HLA-C combinations were significantly more in both SLE and SSc groups than in controls. The KIR2DL2 and KIR2DL5B genes were protective from neurologic involvement in SLE patients (p values <0.05). The variations of some KIR genes such as KIR2DL5, KIR2DL5B, KIR2DS3 and KIR2DL3 may have a role in the pathogenesis of SLE and SSc. Also, the presence of KIR2DL2 and KIR2DL5B may cause major organ involvement, like neurologic involvement, in SLE.
Neurofibromatosis Type I (NF1) is a multi systemic autosomal dominant neurocutaneous disorder predisposing patients to have benign and/or malignant lesions predominantly of the skin, nervous system and bone. Loss of function mutations or deletions of the NF1 gene is responsible for NF1 disease. Involvement of various pathogenic variants, the size of the gene and presence of pseudogenes makes it difficult to analyze. We aimed to report the results of 2 years of multiplex ligation-dependent probe amplification (MLPA) and next generation sequencing (NGS) for genetic diagnosis of NF1 applied at our genetic diagnosis center. The MLPA, semiconductor sequencing and Sanger sequencing were performed in genomic DNA samples from 24 unrelated patients and their affected family members referred to our center suspected of having NF1. In total, three novel and 12 known pathogenic variants and a whole gene deletion were determined. We suggest that next generation sequencing is a practical tool for genetic analysis of NF1. Deletion/duplication analysis with MLPA may also be helpful for patients clinically diagnosed to carry NF1 but do not have a detectable mutation in NGS.
Objective: The aim of this study was to investigate the molecular basis of maturity-onset diabetes of the young (MODY) by targeted-gene sequencing of 20 genes related to monogenic diabetes, estimate the frequency and describe the clinical characteristics of monogenic diabetes and MODY in the Trakya Region of Turkey. Methods: A panel of 20 monogenic diabetes related genes were screened in 61 cases. Illumina NextSeq550 system was used for sequencing. Pathogenicity of the variants were assessed by bioinformatics prediction software programs and segregation analyses. Results: In 29 (47.5%) cases, 31 pathogenic/likely pathogenic variants in the GCK, ABCC8, KCNJ11, HNF1A, HNF4A genes and in 11 (18%) cases, 14 variants of uncertain significance (VUS) in the GCK, RFX6, CEL, PDX1, KCNJ11, HNF1A, G6PC2, GLIS3 and KLF11 genes were identified. There were six different pathogenic/likely pathogenic variants and six different VUS which were novel. Conclusion: This is the first study including molecular studies of twenty monogenic diabetes genes in Turkish cases in the Trakya Region. The results showed that pathogenic variants in the GCK gene are the leading cause of MODY in our population. A high frequency of novel variants (32.4%-12/37) in the current study, suggests that multiple gene analysis provides accurate genetic diagnosis in MODY.
Background Advancement in genetic technology has led to the identification of an increasing number of genes in epilepsy. This will provide a lot of information in clinical practice and improve the diagnosis and treatment of epilepsy. Aim To show the importance of genes in the next‐generation sequencing (NGS) panel during the evaluation of epilepsy and to emphasise the importance of genetic studies in different populations for the evaluation of genes that cause disease. Methods This was a single‐centre retrospective cohort study of 80 patients who underwent NGS testing with a customised epilepsy panel. Results In a total of 54 (67.5%) out of 80 patients, pathogenic or likely pathogenic variants and variants of uncertain significance (VOUS) were identified according to the American College of Medical Genetics and Genomics criteria. Pathogenic or likely pathogenic variants (n = 35) were identified in 29 (36.25%) out of 80 individuals. VOUS (n = 34) were identified in 28 (35%) out of 80 patients. Pathogenic, likely pathogenic and VOUS were most frequently identified in TSC2 (n = 11), SCN1A (n = 6) and TSC1 (n = 5) genes. Other common genes were KCNQ2 (n = 3), AMT (n = 3), CACNA1H (n = 3), CLCN2 (n = 3), MECP2 (n = 2), ASAH1 (n = 2) and SLC2A1 (n = 2). Conclusions NGS‐based testing panels contribute to the diagnosis of epilepsy and might change the clinical management by preventing unnecessary and potentially harmful diagnostic procedures and management in patients. Thus, our results highlight the benefit of genetic testing in children suffering with epilepsy.
AIM: Charcot-Marie-Tooth (CMT) disease or hereditary motor and sensory neuropathy (HMSN) is the definition of a genetically heterogeneous group of diseases characterized by the impaired function of peripheral nerves. The aim of this study was to investigate the genetic etiology of CMT. MATERIAL and METHODS:We herein examined 55 non-related patients with a suspicion of CMT phenotype or HMSN using a customized multigene panel based on the next-generation sequencing technique. All cases were previously analyzed for PMP22 duplication with the Multiplex Ligand Probe Amplification (MLPA) method. RESULTS:In 13 cases (7.15%), we identified a pathogenic/likely pathogenic variant. The affected genes were MARS1, NDRG1, GJB1, GDAP1, MFN2, PRX, SH3TC2, and FGD4. In six cases (10.9%), novel variants were identified: pathogenic variants in GJB1 and FGD4 genes, variants of unknown significance (VUS) in HSPB3, CHRNA1, ARHGEF10, and KIF5A genes. In 21 cases (11.55%), VUS with the genes HSPB3,
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