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Background: Human leukocyte antigen-G (HLA-G) is a pivotal protein involved in immune regulation and tolerance, while systemic lupus erythematosus (SLE) is a multifaceted autoimmune condition influenced by genetic and environmental factors. Research indicates that variations and mutations in HLA-G may impact SLE development. Objective: This study aimed to explore the relationship between polymorphisms in the 3'-untranslated region (UTR) of the HLA-G gene and SLE. Methods: DNA from 100 SLE patients and 100 controls was analyzed using polymerase chain reaction to amplify the target sequence. Allele and genotype frequencies were determined, and haplotypes were assessed using Haploview v.4.2 software, with linkage disequilibrium calculated. Results: Findings revealed that the +2960 Ins allele was significantly linked to SLE as a risk factor, with the Del allele showing a protective effect. In addition, the +3010C allele and +3187A allele were significantly associated with SLE at both allele and genotype levels. The +3142 GG homozygote was notably linked to SLE at the genotype level. Haplotype analysis identified UTR-2 haplotypes as risk factors for SLE, whereas the UTR-1 haplotype was protective, shedding light on genetic factors influencing SLE risk. Conclusion: This study underscores the importance of HLA-G gene 3'-UTR polymorphisms in SLE susceptibility, suggesting their potential as diagnostic or therapeutic targets.

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The regulatory serine protease, complement factor I (FI), in conjunction with one of its cofactors (FH, C4BP, MCP, or CR1), plays an essential role in controlling complement activity through inactivation of C3b and C4b. The functional impact by missense variants in the CFI gene, particularly those with minor allele frequencies of 0.01% to 0.1%, is infrequently studied. As such, these variants are typically classified as variants of uncertain significance (VUS) when they are identified by clinical testing. Herein, we utilized a minigene splicing assay to assess the functional impact of 36 ultra-rare variants of CFI. These variants were selected based on their minor allele frequencies (MAF) and their association with low-normal FI levels. Four variants lead to aberrant splicing-one 5' consensus splice site (NM_000204.5: c.1429G>C, p.Asp477His) and three exonic changes (c.355G>A, p.Gly119Arg; c.472G>A, p.Gly158Arg; and c.950G>A, p.Arg317Gln)-enabling their reclassification to likely pathogenic (LP) or pathogenic (P) based on ACMG guidelines. These findings underscore the value of functional assays, such as the minigene assay, in assessing the clinical relevance of rare variants in CFI.

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In forensic genetics, utilizing massively parallel sequencing (MPS) to analyze short tandem repeats (STRs) has demonstrated several advantages compared to conventional capillary electrophoresis (CE). Due to the current technical limitations, although flanking region polymorphisms had been mentioned in several previous studies, most studies focused on the core repeat regions of STRs or the variations in the adjacent flanking regions. In this study, we developed an MPS system consisting of two sets of multiplex PCR systems to detect not only the STR core repeat regions but also to observe variants located at relatively distant positions in the flanking regions. The system contained 42 commonly used forensic STRs, including 21 autosomal STRs (A-STRs) and 21 Y-chromosomal STRs (Y-STRs), and a total of 350 male individuals from a Chinese Han population were genotyped. The length and sequence variants per locus were tallied and categorized based on length (length-based, LB), sequence without flanking region (core repeat regions sequence-based, RSB), and sequence with flanking region (core repeat and flanking regions sequence-based, FSB), respectively. Allele frequencies, Y-haplotype frequencies, and forensic parameters were calculated based on LB, RSB, and FSB, respectively, to evaluate the improvement in discrimination power, heterozygosity, and effectiveness of forensic systems. The results suggested the sequence variations have more influence on A-STRs and could improve the identification ability of MPS-STR genotyping. Concordance between MPS and CE methods was confirmed by using commercial CE-based STR kits. The impact of flanking region variations on STR genotype analysis and potential factors contributing to discordances were discussed. A total of 58 variations in the flanking regions (53 SNPs/SNVs and 5 InDels) were observed and most variations (48/58) were distributed in A-STRs. In summary, this study delved deeper into the genetic information of forensic commonly used STR and advanced the application of massively parallel sequencing in forensic genetics.

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BACKGROUND: Dilated cardiomyopathy (DCM) is a major cause of heart failure and heart transplantation. Recently, some studies have reported that the autoimmune response in myocardial cells might be related to the pathogenesis of DCM. The CD247 gene has been previously found to be involved in autoimmune disease. Therefore, our study aimed to clarify the hypothesis that there is a certain linkage between polymorphisms of the CD247 gene and the triggering of DCM risk. METHODS: In the present study, two single nucleotide polymorphisms (SNPs) of the CD247 gene, rs12141731 and rs858543, were genotyped by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) in 355 DCM patients and 404 age- and sex-matched controls. RESULTS: Pearson's chi-squared test for the CD247 gene revealed that SNP rs858543 (p = 0.001, OR = 0.72, 95% CI = (0.588-0.882), but not SNP rs12141731, was associated with DCM in the Chinese Han population. Haplotype analysis revealed that the CC haplotype was associated with increased DCM susceptibility, while CT was a protective haplotype. Cox multivariate survival analysis indicated that the rs858543 TT genotype (HR: 0.608, 95% CI = 0.402-0.921, p = 0.019) was an independent multivariate predictor for longer overall survival in DCM patients. CD247 mRNA expression levels were significantly decreased in DCM patients (p = 0.02). CONCLUSIONS: Our study suggested that a polymorphism in the CD247 gene may be a risk factor for DCM in the Chinese Han population. TRIAL REGISTRATION: ChiCTR2000029701.

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Drug type and dosing recommendation have been designed and optimized based on average response in the general population. Yet, there is significant inter-individual variability in drug response, which results in treatment inefficacy or adverse drug reactions in a subset of patients. This is partly due to genetic factors that typically affect drug metabolism or clearance. To verify the relevance and applicability of international pharmacogenetic guidelines in the Swiss population, we genotyped 1533 patients from a hospital-based biobank who received at least 30 different drugs, as documented in their electronic health record. We then assessed the prevalence of clinically actionable variants in 13 high-risk pharmacogenes. We compared the allele frequencies obtained in the hospital-based cohort with those of a Swiss population-based cohort of 4791 individuals. The prevalence of clinically actionable variants was comparable between the two cohorts, with most study participants (97.3%) carrying at least one actionable pharmacogenetic variant. We then assessed the frequency of high-risk prescriptions due to actionable gene-drug interactions and observed that 31% of patients in the hospital-based cohort were prescribed at least one drug for which they carried a high-risk variant, and for which international guidelines recommend a change of drug or dosage. Our analysis confirms the high prevalence of actionable pharmacogenetic variants in the Swiss population. It also shows that a substantial minority of patients are exposed to drugs for which they carry potentially problematic variants. Implementing a genetically informed approach to drug prescribing could have a positive impact on the quality of healthcare delivery.

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BACKGROUND: Mitochondrial genomes differ from the nuclear genome and in humans it is known that mitochondrial variants contribute to genetic disorders. Prior to genomics, some livestock studies assessed the role of the mitochondrial genome but these were limited and inconclusive. Modern genome sequencing provides an opportunity to re-evaluate the potential impact of mitochondrial variation on livestock traits. This study first evaluated the empirical accuracy of mitochondrial sequence imputation and then used real and imputed mitochondrial sequence genotypes to study the role of mitochondrial variants on milk production traits of dairy cattle. RESULTS: The empirical accuracy of imputation from Single Nucleotide Polymorphism (SNP) panels to mitochondrial sequence genotypes was assessed in 516 test animals of Holstein, Jersey and Red breeds using Beagle software and a sequence reference of 1883 animals. The overall accuracy estimated as the Pearson's correlation squared (R2) between all imputed and real genotypes across all animals was 0.454. The low accuracy was attributed partly to the majority of variants having low minor allele frequency (MAF < 0.005) but also due to variants in the hypervariable D-loop region showing poor imputation accuracy. Beagle software provides an internal estimate of imputation accuracy (DR2), and 10 percent of the total 1927 imputed positions showed DR2 greater than 0.9 (N = 201). There were 151 sites with empirical R2 > 0.9 (of 954 variants segregating in the test animals) and 138 of these overlapped the sites with DR2 > 0.9. This suggests that the DR2 statistic is a reasonable proxy to select sites that are imputed with higher accuracy for downstream analyses. Accordingly, in the second part of the study mitochondrial sequence variants were imputed from real mitochondrial SNP panel genotypes of 9515 Australian Holstein, Jersey and Red dairy cattle. Then, using only sites with DR2 > 0.900 and real genotypes, we undertook a genome-wide association study (GWAS) for milk, fat and protein yields. The GWAS mitochondrial SNP effects were not significant. CONCLUSION: The accuracy of imputation of mitochondrial genotypes from the SNP panel to sequence was generally low. The Beagle DR2 statistic enabled selection of sites imputed with higher empirical accuracy. We recommend building larger reference populations with mitochondrial sequence to improve the accuracy of imputing less common variants and ensuring that SNP panels include common variants in the D-loop region.

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OBJECTIVE: Aim: To investigate allele frequencies of rs1799983 polymorphism eNOS genes and to determine association between rs1799983 polymorphism of eNOS gene and essential hypertension in Iraqi hypertensive patients. PATIENTS AND METHODS: Materials and Methods: This is an observational cross sectional descriptive single center study. ninety hypertensive patients were recruited by specialist cardiologist and conducted at AL-Diwaniyah teaching hospital and department of pharmacology and therapeutics, college of medicine, university of Al-Qadisiyah, Iraq. DNA samples were genotyped by PCR-tetra-arm method. NO level was measured by using ELISA kit. RESULTS: Results: Regarding rs1799983 the most frequent allele was G (73%) and the most frequent genotype was GG (55%). Our results indicate lack of substantial link between genotype frequencies of rs1799983 polymorphism and NO level (p=0.88) and thereby there is no statistically significant effect on SBP and DBP (p = 0.051). CONCLUSION: Conclusions: our study demonstrated lack of significant association between this polymorphism and essential hypertension in Iraqi hypertensive patients.

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A central goal in evolutionary biology is to understand how different evolutionary processes cause trait change in wild populations. However, quantifying evolutionary change in the wild requires linking trait change to shifts in allele frequencies at causal loci. Nevertheless, datasets that allow for such tests are extremely rare and existing theoretical approaches poorly account for the evolutionary dynamics that likely occur in ecological settings. Using a decade-long integrative phenome-to-genome time-series dataset on wild threespine stickleback (Gasterosteus aculeatus), we identified how different modes of selection (directional, episodic, and balancing) drive microevolutionary change in correlated traits over time. Most strikingly, we show that feeding traits changed by as much 25% across 10 generations which was driven by changes in the genetic architecture (i.e., in both genomic breeding values and allele frequencies at genetic loci for feeding traits). Importantly, allele frequencies at genetic loci related to feeding traits changed at a rate greater than expected under drift, suggesting that the observed change was a result of directional selection. Allele frequency dynamics of loci related to swimming traits appeared to be under fluctuating selection evident in periodic population crashes in this system. Our results show that microevolutionary change in a wild population is characterized by different modes of selection acting simultaneously on different traits, which likely has important consequences for the evolution of correlated traits. Our study provides one of the most thorough descriptions to date of how microevolutionary processes result in trait change in a natural population.

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To investigate the association between single nucleotide polymorphism (SNP) at the rs3918188, rs1799983 and rs1007311 loci of the endothelial nitric oxide synthase (eNOS) gene and genetic susceptibility to systemic lupus erythematosus (SLE) in northeastern China. The base distribution of eNOS gene rs3918188, rs1799983 and rs1007311 in 1712 human peripheral blood samples from Northeast China was detected by SNaPshot sequencing technology. The correlation between genotype, allele and gene model of these loci of the eNOS gene and the genetic susceptibility to SLE was investigated by logistic regression analysis. The results of the differences in the frequency distribution of their gene models were visualised using R 4.3.2 software. Finally, HaploView 4.2 software was used to analyse the relationship between the haplotypes of the three loci mentioned above and the genetic susceptibility to SLE. A multifactor dimensionality reduction (MDR) analysis was used to determine the best SNP-SNP interaction model. The CC genotype and C allele at the rs3918188 locus may be a risk factor for SLE (CC vs AA: OR = 1.827, P < 0.05; C vs A: OR = 1.558, P < 0.001), and this locus increased the risk of SLE in the dominant model and the recessive model (AC + CC vs AA: OR = 1.542, P < 0.05; CC vs AA + AC: OR = 1.707, P < 0.001), while the risk of SLE was reduced in the overdominant model (AC vs AA + CC: OR = 0.628, P < 0.001). The GT genotype and T allele at locus rs1799983 may be a protective factor for SLE (GT vs GG: OR = 0.328, P < 0.001; T vs G: OR = 0.438, P < 0.001) and this locus reduced the risk of SLE in the overdominant model (GT vs GG + TT: OR = 0.385, P < 0.001). There is a strong linkage disequilibrium between the rs1007311 and rs1799983 loci of the eNOS gene. Among them, the formed haplotype AG increased the risk of SLE compared to GG. AT and GT decreased the risk of SLE compared to GG. In this study, the eNOS gene rs3918188 and rs1799983 loci were found to be associated with susceptibility to SLE. This helps to deeply explore the mechanism of eNOS gene and genetic susceptibility to SLE. It provides a certain research basis for the subsequent exploration of the molecular mechanism of these loci and SLE, as well as the early diagnosis, treatment and prognosis of SLE.

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Advances in next-generation sequencing technologies have led to elucidation of sensorineural hearing loss genetics and associated clinical impacts. However, studies on the functional pathogenicity of variants of uncertain significance (VUS), despite their close association with clinical phenotypes, are lacking. Here we identified compound heterozygous variants in ESRRB transcription factor gene linked to DFNB35, specifically a novel splicing variant (NM_004452.4(ESRRB): c.397 + 2T>G) in trans with a missense variant (NM_004452.4(ESRRB): c.1144C>T p.(Arg382Cys)) whose pathogenicity remains unclear. The splicing variant (c.397 + 2T>G) caused exon 4 skipping, leading to premature stop codon formation and nonsense-mediated decay. The p.(Arg382Cys) variant was classified as a VUS due to its particularly higher allele frequency among East Asian population despite disease-causing in-silico predictions. However, functional assays showed that p.(Arg382Cys) variant disrupted key intramolecular interactions, leading to protein instability. This variant also reduced transcriptional activity and altered expression of downstream target genes essential for inner ear function, suggesting genetic contribution to disease phenotype. This study expanded the phenotypic and genotypic spectrum of ESRRB in DFNB35 and revealed molecular mechanisms underlying ESRRB-associated DFNB35. These findings suggest that variants with high allele frequencies can also possess functional pathogenicity, providing a breakthrough for cases where VUS, previously unexplored, could be reinterpreted by elucidating their functional roles and disease-causing characteristics.

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The genetic factors of stroke in South Asians are largely unexplored. Exome-wide sequencing and association analysis (ExWAS) in 75 K Pakistanis identified NM_000435.3(NOTCH3):c.3691 C > T, encoding the missense amino acid substitution p.Arg1231Cys, enriched in South Asians (alternate allele frequency = 0.58% compared to 0.019% in Western Europeans), and associated with subcortical hemorrhagic stroke [odds ratio (OR) = 3.39, 95% confidence interval (CI) = [2.26, 5.10], p = 3.87 × 10-9), and all strokes (OR [CI] = 2.30 [1.77, 3.01], p = 7.79 × 10-10). NOTCH3 p.Arg231Cys was strongly associated with white matter hyperintensity on MRI in United Kingdom Biobank (UKB) participants (effect [95% CI] in SD units = 1.1 [0.61, 1.5], p = 3.0 × 10-6). The variant is attributable for approximately 2.0% of hemorrhagic strokes and 1.1% of all strokes in South Asians. These findings highlight the value of diversity in genetic studies and have major implications for genomic medicine and therapeutic development in South Asian populations.

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Cleft lip and/or palate (CL/P) are the most common congenital anomalies in the craniofacial region, leading to morphological and functional disruptions in the facial region. Their etiology involves genetic and environmental factors, with genetics playing a crucial role. This study aimed to investigate the association of four single nucleotide polymorphisms (SNPs)-rs987525, rs590223, rs522616, and rs4714384-with CL/P in the Polish population. We analyzed DNA samples from 209 individuals with CL/P and 418 healthy controls. The impact of SNPs on the presence of CL/P was assessed using multivariate logistic regression. Significant associations were found with rs987525. Specifically, the AC genotype was linked to an increased CL/P risk (odds ratio [OR] = 1.95, 95% confidence interval [CI]: 1.34-2.83, p < 0.001), while the CC genotype was associated with a decreased risk (OR = 0.46, 95% CI: 0.32-0.67, p < 0.001). Rs4714384 was also significant, with the CT genotype correlated with a reduced risk of CL/P (OR = 0.66, 95% CI: 0.46-0.94, p = 0.011). SNPs rs590223 and rs522616 did not show statistically significant associations. These results underscore the role of rs987525 and rs4714384 in influencing CL/P risk and suggest the utility of genetic screening in understanding CL/P etiology.

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There are more than 260 million people of Slavic descent worldwide, who reside mainly in Eastern Europe but also represent a noticeable share of the population in the USA and Canada. Slavic populations, particularly Eastern Slavs and some Western Slavs, demonstrate a surprisingly high degree of genetic homogeneity, and, consequently, remarkable contribution of recurrent alleles associated with hereditary diseases. Along with pan-European pathogenic variants with clearly elevated occurrence in Slavic people (e.g., ATP7B c.3207C>A and PAH c.1222C>T), there are at least 52 pan-Slavic germ-line mutations (e.g., NBN c.657_661del and BRCA1 c.5266dupC) as well as several disease-predisposing alleles characteristic of the particular Slavic communities (e.g., Polish SDHD c.33C>A and Russian ARSB c.1562G>A variants). From a clinical standpoint, Slavs have some features of a huge founder population, thus providing a unique opportunity for efficient genetic studies.

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The aim of our study was to investigate an association between polymorphisms of either the VEGF (vascular endothelial growth factor) gene (rs6921438) or the KDR (kinase insert domain receptor) gene (rs2071559, rs2305948) and DN (diabetic nephropathy) in Caucasians with T2DM (type 2 diabetes mellitus). The second aim was to investigate the effect of either the VEGF gene (rs6921438) or the KDR gene (rs2071559, rs2305948) on the immune expression of either VEGF or KDR in the renal tissues of T2DM subjects (to test the functional significance of tested polymorphisms). The study included 897 Caucasians with T2DM for at least ten years (344 patients with DN and 553 patients without DN). Each subject was genotyped and analyzed for KDR (rs1617640, rs2305948) and VEGF (rs6921438) polymorphisms. Kidney tissue samples taken from 15 subjects with T2DM (autopsy material) were immunohistochemically stained for the expression of VEGF and KDR. We found that the rs2071559 KDR gene was associated with an increased risk of DN. In addition, the GG genotype of the rs6921438 VEGF gene had a protective effect. We found a significantly higher numerical area density of VEGF-positive cells in T2DM subjects with the A allele of the rs6921438-VEGF compared to the homozygotes for wild type G allele (7.0 ± 2.4/0.1 mm2 vs. 1.24 ± 0.5/0.1 mm2, respectively; p < 0.001). Moreover, a significantly higher numerical area density of KDR-positive cells was found in T2DM subjects with the C allele of rs2071559 (CC + CT genotypes) compared to the homozygotes for wild type T allele (9.7± 3.2/0.1 mm2 vs. 1.14 ± 0.5/0.1 mm2, respectively; p < 0.001) To conclude, our study showed that the presence of the C allele of the rs2071559 KDR gene was associated with a higher risk of DN, while the G allele of the rs6921438-VEGF conferred protection against DN in Slovenian T2DM subjects.

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Our study aimed to investigate the associations between CXCL12 rs1029153, rs1801157, and rs2297630 single-nucleotide polymorphisms (SNPs), CXCL12 protein levels, MS prevalence, and clinical parameters. This study included 250 individuals diagnosed with MS and 250 sex- and age-matched healthy control individuals from Lithuania. The SNPs were genotyped with real-time PCR-based assays. The CXCL12 protein concentration was evaluated in serum using the ELISA method. Of the studied CXCL12 SNPs, we found that the rs1801157 CT genotype in the males was associated with 2.3 times reduced MS odds when compared with the CC genotype according to the overdominant and codominant models (p = 0.011 and p = 0.012, respectively). There was a tendency, which did not reach adjusted statistical significance, for a lower CXCL12 protein concentration in the healthy individuals with the rs1801157 CT genotype (p = 0.028). Sensory symptoms were rarer in the women with the rs1801157 TT genotype (p = 0.004); however, this genotype was also associated with a shorter MS disease duration (p = 0.007). CXCL12 rs1801157 was associated with reduced odds of MS occurrence in the male individuals. In women, rs1801157 was associated with a sensory symptom prevalence.

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MOTIVATION: Selective sweeps can successfully be distinguished from neutral genetic data using summary statistics and likelihood-based methods that analyze single nucleotide polymorphisms (SNPs). However, these methods are sensitive to confounding factors, such as severe population bottlenecks and old migration. By virtue of machine learning, and specifically convolutional neural networks (CNNs), new accurate classification models that are robust to confounding factors have been recently proposed. However, such methods are more computationally expensive than summary-statistic-based ones, yielding them impractical for processing large-scale genomic data. Moreover, SNP data are frequently preprocessed to improve classification accuracy, further exacerbating the long analysis times. RESULTS: To this end, we propose a 1D CNN-based model, dubbed FAST-NN, that does not require any preprocessing while using only derived allele frequencies instead of summary statistics or raw SNP data, thereby yielding a sample-size-invariant, scalable solution. We evaluated several data fusion approaches to account for the variance of the density of genetic diversity across genomic regions (a selective sweep signature), and performed an extensive neural architecture search based on a state-of-the-art reference network architecture (SweepNet). The resulting model, FAST-NN, outperforms the reference architecture by up to 12% inference accuracy over all challenging evolutionary scenarios with confounding factors that were evaluated. Moreover, FAST-NN is between 30× and 259× faster on a single CPU core, and between 2.0× and 6.2× faster on a GPU, when processing sample sizes between 128 and 1000 samples. Our work paves the way for the practical use of CNNs in large-scale selective sweep detection. AVAILABILITY AND IMPLEMENTATION: https://github.com/SjoerdvandenBelt/FAST-NN.

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Background: The role of the common FTO gene variant rs9939609 in obesity has been well established, and the FTO gene has a strong association with T2DM. Objective: To investigate the association of FTO gene variant rs9939609 with obesity-related parameters in T2DM and CVD patients. Materials and Methods: In this cross-sectional study, 280 subjects of either sex aged 45.10 ± 9.6 years were randomly divided into four groups, that is, T2DM, T2DM with CVD, nondiabetic with CVD disease, and normal control. These samples were genotyped by ARMS-PCR. The FTO gene association with obesity-related parameters in T2DM and CVD patients was analyzed by SPSS 22. Results: The TT genotype was the most common genotype (46.80%) in our study groups. The minor allele frequency (MAF) was significantly higher in T2DM patients (0.39 vs. 0.28), T2DM patients with CVD (0.43 vs. 0.28), and nondiabetic patients with CVD (0.35 vs. 0.28) as compared to control with p < 0.005. Carriers of the AA genotype of the FTO gene rs9939609 were significantly associated with increased BMI, WC, HbA1C, SBP, DBP, and TGs and lowered HDL cholesterol as compared to the TA and TT genotypes in T2DM and CVD patients with p < 0.005. The FTO gene variant rs9939609 showed a significant association with T2DM and CVD. The AA genotype odds ratio (OR) in T2DM was 1.48 (1.06-2.32), p = 0.006, and in CVD, it was 1.56 (1.04-2.4), p = 0.003. Conclusion: The FTO gene variant rs9939609 has a strong association with T2DM and CVD. The AA genotype of FTO gene variants rs9939609 showed a strong association with most of the risk factors of CVD and T2DM.

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The role of CYP2E1 in oxidation is essential for its effects on meat quality. This study used 200 Indonesian sheep (Ovis aries) to determine the SNP g allele frequencies. g. 50658168 T>C of CYP2E1 gene located in 3´-UTR region and their genetic association with lamb quality traits, including carcass characteristics, retail cut carcass, physicochemical lamb, fatty acid, cholesterol, flavor and odor, and mineral content. Further, the level of CYP2E1 mRNA and CYP2E1 protein expression in muscle were determined and correlated with lamb quality traits. CYP2E1 gene polymorphisms were identified using Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR-RFLP) analysis. The CYP2E1 mRNA expression levels in phenotypically divergent sheep populations were analyzed using Quantitative Real Time-PCR (qRT-PCR). Immunohistochemistry (IHC) and hematoxylin-eosin (HE) staining analysis used three samples each in the high and low lamb quality groups based on pH value and tenderness. An association study of CYP2E1 gene polymorphisms was performed using General Linear Model (GLM) analysis. The genetic association between the CC, CT, and TT genotypes at the SNP g. 50658168 T>C CYP2E1 gene and lamb quality traits were significant (P<0.05), including carcass characteristics, retail cut carcass, fatty acid, cholesterol, flavor, and odor. Lambs with the CT genotype had a higher mRNA and protein expression in high lamb quality traits. The highest CYP2E1 protein expression was localized in the longissimus dorsi. The group sample with high lamb quality had a higher area and perimeter of muscle cells. CYP2E1 can be used as a genetic marker for selecting sheep with high meat quality.

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The diagnosis of familial Mediterranean fever (FMF) is primarily based on clinical standards. The purpose of this study was to investigate the relevance of Mediterranean fever (MEFV) genetic testing in the diagnosis of FMF as well as to identify the most frequent variant alleles and their relationship to clinical symptoms in Egyptian patients. Egyptian patients with a clinical suspicion of having FMF were studied in order to determine MEFV genotypes. Each patient was meticulously evaluated through an extensive collection of their medical history, a thorough clinical examination, and a series of laboratory tests, encompassing CBC, ESR, and CRP measurements. The MEFV variant screening procedure included the use of reverse dot blot hybridization. The average age of our patients when they were given a diagnosis was 22.8 ± 1.404 years old. The predominant clinical manifestations identified were abdominal pain, fever, and arthralgia.  Molecular interrogation of the MEFV gene unveiled that a significant proportion of the cohort, constituting 72 individuals (60%), displayed heterozygosity, whereas a smaller fraction, comprising 12 subjects (10%), demonstrated homozygosity and an equivalent number (10%) exhibited compound heterozygosity. Pertaining to the distribution of allele variants, E148Q emerged as the most prevalent, succeeded by M694I, accounting for 12.5% of the cases, and M680I (G/A), representing 10.41%. This notable prevalence of heterozygous genotypes among the Egyptian demographic, preliminarily identified as potential FMF cases, underscores the imperative for molecular diagnostics to enhance the precision of FMF identification.

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Aims: A large genome-wide analyses of UK Biobank data reported 15 novel loci associated with the susceptibility of hip osteoarthritis (HOA). We aimed to replicate the association of these loci with HOA in the Chinese population.Methods: A total of 13 Single Nucleotide Polymorphisms were genotyped in 892 HOA patients and 1123 healthy controls.Results: The risk allele frequency of rs62578127 and rs11059094 was significantly higher in the patients than in the controls. The mRNA expression of LMX1B (p = 0.01) and MLXIP (p = 0.001) were significantly increased in HOA tissues.Conclusion: We successfully replicated two novel susceptible loci of HOA and further characterized two potential causative genes.

[Box: see text].

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