Glutathione S-Transferase M1 and T1 Gene Polymorphisms in Patients with Chronic Plaque-Type Psoriasis: A Case-Control Study

Objective: To determine the role of glutathione S-transferase (GST) isoenzyme polymorphisms as susceptibility factors in patients with psoriasis in a Turkish cohort. Subjects and Methods: In this case-control study, 105 patients with plaque-type psoriasis and 102 healthy controls were recruited from the dermatology outpatient clinics of two university hospitals. Genomic DNA was extracted from whole blood using a DZ DNA isolation kit. Multiplex PCR was used to determine GSTM1 and GSTT1 polymorphisms in the isolated DNAs. Results: Of the 150 patients with psoriasis, 83 (79%) were identified with the GSTT1 genotype and 22 (21%) with the null genotype. Of the 102 patients in the control group, 69 (67.6%) subjects were identified with the GSTT1 genotype and 33 (32.4%) with the null genotype. There was no significant difference between the patient and control groups (p = 0.063). Regarding the GSTM1 polymorphism, 54 (51.4%) patients were identified with this genotype and 51 (48.6%) with the null genotype; in the control group, 50 (49%) were identified with this genotype and 52 (51%) with the null genotype. Again there was no statistically significant difference between the groups (p = 0.957). Conclusion: In this Turkish cohort of patients with psoriasis, neither GSTT1 nor GSTM1 polymorphisms were associated with disease susceptibility. Larger studies with a wider range of GST isoenzyme are needed. (C) 2015 S. Karger AG, Base

Birt-Hogg-Dube Syndrome: Diagnostic Journey of Three Cases from Skin to Gene

Birt-Hogg-Dube syndrome (BHDS) is a rare disorder characterized by the triad of cutaneous lesions, renal tumors, lung cysts and inactivation of the gene folliculin (FLCN). Here, we present three female patients diagnosed with BHDS. First case a 55-year-old female had flesh moles histopathology compatible with angiofibroma, multiple cysts in the lung and kidneys, FLCN gene mutations ('c.1285dupC [p.His429Profs*]' 11th exon and 'c.653G>A [p.Arg258His]' 7th exon). The second case a 76-year-old female had trichodiscoma on her skin, multiple cysts in the lung, spontaneous pneumothorax, FLCN gene mutation 'c.1285dupC (p.His429Profs*27) 11th exon' and, her son had renal carcinoma history under 50 years of age. Our third case, also the daughter of case 2, had dermal papules histopathology compatible with trichodiscoma, spontaneous pneumothorax, FLCN gene mutation 'c.1285dupC (p.His429Profs*27) 11th exon' and, parotid oncocytoma. Through our cases, we document the first case of two mutations ('c.1285dupC [p.His429Profs*]' 11th exon and 'c.653G>A [p.Arg258His]' 7th exon) in the same FLCN gene and the 11th known case of parotid oncocytoma associated with BHDS in the light of the literature

Alzheimer Disease Associated Loci: <em>APOE</em> Single Nucleotide Polymorphisms in Marmara Region

Alzheimer’s disease (AD) is a major global health challenge, especially among individuals aged 65 or older. According to population health studies, Turkey has the highest AD prevalence in the Middle East and Europe. To accurately determine the frequencies of common and rare APOE single nucleotide polymorphisms (SNPs) in the Turkish population residing in the Marmara Region, we conducted a retrospective study analyzing APOE variants in 588 individuals referred to the Bursa Uludag University Genetic Diseases Evaluation Center. Molecular genotyping, clinical exome sequencing, bioinformatics analysis, and statistical evaluation were employed to identify APOE polymorphisms and assess their distribution. The study revealed the frequencies of APOE alleles as follows: ε4 at 9.94%, ε2 at 9.18%, and ε3 at 80.68%. The gender-based analysis in our study uncovered a tendency for females to exhibit a higher prevalence of mutant genotypes across various SNPs. The most prevalent haplotype observed was ε3/ε3, while rare APOE SNPs were also identified. These findings align with global observations, underscoring the significance of genetic diversity and gender-specific characteristics in comprehending health disparities and formulating preventive strategies

A new line method; A direct test in spinal muscular atrophy screening for DBS

Abstract Background Nucleic acid‐based assays provide an opportunity to screen for genetically encoded diseases like spinal muscular atrophy (SMA), before the onset of symptoms. Nowadays, such assays could be easily utilized as high‐throughputs in SMA to detect a homozygous deletion of exon 7 of the survival motor neuron 1 gene (SMN1) that is responsible for >95% of SMA patients. Methods We developed a new line method (NLM) as a direct real time PCR test procedure without nucleic acid extraction in dried blood spots (DBS) to screen for homozygous deletion of exon 7 of the SMN1 gene. Performance of this setup was evaluated on 580 DBS newborn samples and air dried 50 DBS from whole blood including 20 samples for homozygous deletion of the SMN1 gene detected earlier with MLPA. Results We found all 580 newborn DBS samples as wild type. DBS prepared from 50 whole blood samples also including 20 affected people were correctly identified as homozygous deletions and 30 wild types of exon 7 of SMN1 as before with MLPA. When the MLPA method was taken as the gold standard, the sensitivity and specificity of the NLM test were found 100% for the detection of SMN1 exon 7 homozygous deletion. Conclusion In the NLM, the total test duration has been reduced to less than 75 min without requiring any extra process such as DNA extraction step and sample plate preparation after the punching step. Thereby, newborn SMA screening with the NLM has gained an environmentally friendly feature with not requiring additional tedious steps

Analysis of ACE2 and TMPRSS2 coding variants as a risk factor for SARS-CoV-2 from 946 whole-exome sequencing data in the Turkish population

Heterogeneity in symptoms associated with COVID-19 in infected patients remains unclear. ACE2 and TMPRSS2 gene variants are considered possible risk factors for COVID-19. In this study, a retrospective comparative genome analysis of the ACE2 and TMPRSS2 variants from 946 whole-exome sequencing data was conducted. Allele frequencies of all variants were calculated and filtered to remove variants with allele frequencies lower than 0.003 and to prioritize functional coding variants. The majority of detected variants were intronic, only two ACE2 and three TMPRSS2 nonsynonymous variants were detected in the analyzed cohort. The main ACE2 variants that putatively have a protective or susceptibility effect on SARS-CoV-2 have not yet been determined in the Turkish population. The Turkish genetic makeup likely lacks any ACE2 variant that increases susceptibility to SARS-CoV-2 infection. TMPRSS2 rs75603675 and rs12329760 variants that were previously defined as common variants that have different allele frequencies among populations and may have a role in SARS-CoV-2 attachment to host cells were determined in the population. Overall, these data will contribute to the formation of a national variation database and may also contribute to further studies of ACE2 and TMPRSS2 in the Turkish population and differences in SARS-CoV-2 infection among other populations

The impact and future of artificial intelligence in medical genetics and molecular medicine: an ongoing revolution

Artificial intelligence (AI) platforms have emerged as pivotal tools in genetics and molecular medicine, as in many other fields. The growth in patient data, identification of new diseases and phenotypes, discovery of new intracellular pathways, availability of greater sets of omics data, and the need to continuously analyse them have led to the development of new AI platforms. AI continues to weave its way into the fabric of genetics with the potential to unlock new discoveries and enhance patient care. This technology is setting the stage for breakthroughs across various domains, including dysmorphology, rare hereditary diseases, cancers, clinical microbiomics, the investigation of zoonotic diseases, omics studies in all medical disciplines. AI's role in facilitating a deeper understanding of these areas heralds a new era of personalised medicine, where treatments and diagnoses are tailored to the individual's molecular features, offering a more precise approach to combating genetic or acquired disorders. The significance of these AI platforms is growing as they assist healthcare professionals in the diagnostic and treatment processes, marking a pivotal shift towards more informed, efficient, and effective medical practice. In this review, we will explore the range of AI tools available and show how they have become vital in various sectors of genomic research supporting clinical decisions