Identification Of Single Nucleotide Polymorphisms Research Articles

Abstract A019: Identification and Genomic Analysis of miRNA-mRNA Binding Site SNPs in Hepatitis C Virus-Associated Hepatocellular Carcinoma

Abstract Hepatitis C virus (HCV) infection is a major risk factor for hepatocellular carcinoma (HCC), a leading cause of cancer-related deaths globally. MicroRNAs (miRNAs) play critical roles in gene regulation, and single nucleotide polymorphisms (SNPs) within miRNA binding sites can disrupt this regulation, potentially influencing HCC pathogenesis. The present study aims to identify and characterize SNPs within miRNA binding sites of genes associated with HCV- induced HCC (HCV-HCC). A comprehensive bioinformatics analysis workflow was devised. HCV-specific differentially expressed (DE) miRNAs and mRNAs were extracted from literature and databases. SNPs in the 3' UTRs of HCV-HCC genes were identified, and their impact on miRNA binding was predicted using PoymiRTS and TargetScan. RNAhybrid was used to estimate minimum folding energy (MFE) differences (ΔMFE) between mutant and wild types. Functional enrichment analysis was conducted to elucidate the biological processes affected by these SNPs. Our analysis revealed several significant alterations in miRNA-mRNA binding pairs due to SNPs within genes associated with HCV-HCC. For instance, among the downregulated genes in HCV-HCC, the SNP in CTSB (rs3088245; 193T>C) predicted to increase the stability of the miR-27b - CTSB duplex (ΔMFE: 1.4), suggesting enhanced binding and potentially improved repression of CTSB. Conversely, the SNP in EGR2 (rs61865883; 287 T>A) decreased the stability of the miR-140-5p - EGR2 mRNA interaction (ΔMFE: -1.9), suggesting a weaker binding affinity and potentially reduced repression of EGR2 expression. Considering the tumor suppressor role of EGR2, presence of this SNP is likely to reflect good prognosis. For the upregulated gene oncogene, XIAP, the SNP (rs6648556; 5892 T>C) is predicted to enhance the binding of miR- 200c (ΔMFE: 1.5), likely resulting in increased suppression of XIAP expression in patients carrying this SNP and improved prognosis. Our study emphasizes the importance of considering genetic variations in miRNA binding sites in the context of HCV-HCC. These SNPs may serve as genetic modifiers influencing disease susceptibility and progression. Further experimental studies are warranted to explore their potential as therapeutic agents and predictors of prognosis in HCV-HCC patients. Citation Format: Azeem M Butt, Anum Qamar, Shafiqa Siddique. Identification and Genomic Analysis of miRNA-mRNA Binding Site SNPs in Hepatitis C Virus-Associated Hepatocellular Carcinoma [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: RNAs as Drivers, Targets, and Therapeutics in Cancer; 2024 Nov 14-17; Bellevue, Washington. Philadelphia (PA): AACR; Mol Cancer Ther 2024;23(11_Suppl):Abstract nr A019.

From phylogenomics to breeding: Can universal target capture probes be used in the development of SNP markers for kinship analysis?

AbstractPremiseLeveraging DNA markers, particularly single‐nucleotide polymorphisms (SNPs), in parentage analysis, sib‐ship reconstruction, and genomic relatedness analysis can enhance plant breeding efficiency. However, the limited availability of genomic information, confined to the most commonly used species, hinders the broader application of SNPs in species of lower economic interest (e.g., most tree species). We explored the possibility of using universal target capture probes, namely Angiosperms353, to identify SNPs and assess their effectiveness in genomic relatedness analysis.MethodsWe tested the approach in 11 tree species, six of which had a half‐sib family structure. Variants were called within species, and genomic relatedness analysis was conducted in species with two or more families. Scalability via amplicon sequencing was tested by designing primers and testing them in silico.ResultsAdequate SNPs for relatedness analysis were identified in all species. Relatedness values from Angiosperms353‐based SNPs highly correlated with those from thousands of genome‐wide DArTseq SNPs in Cordia africana, one of the species with a family structure. The in silico performance of designed primers demonstrated the potential for scaling up via amplicon sequencing.DiscussionUtilizing universal target capture probes for SNP identification can help overcome the limitations of genomic information availability, thereby enhancing the application of genomic markers in breeding plant species with lower economic interest.

Role of SIRPG gene in type 1 diabetes and lichen planus.

Type 1 diabetes (T1D) is a form of diabetes caused by pancreatic β-cell destruction and absolute insulin deficiency. Lichen planus (LP) is an idiopathic inflammatory skin disease of unclear etiology. The role of SIRPG gene dysregulation in T1D and LP remains unclear. Mendelian randomization (MR) using matched samples was employed to study causal relationship between T1D and increased risk of LP. T1D-related single nucleotide polymorphism identification was conducted. Datasets GSE156035 for T1D and GSE52130 for LP were obtained from gene expression omnibus. Differentially expressed genes were identified, analyses included weighted gene co-expression network analysis, functional enrichment, gene set enrichment analysis, and protein-protein interaction network construction and analysis. Heatmaps of gene expression levels were generated. Comparative toxicogenomics database was used to identify diseases most relevant to core genes. Inverse variance weighted, MR-Egger, weighted median methods estimated genetic predisposition between T1D and LP, showing consistent positive correlations using both weighted median and inverse variance weighted methods. Horizontal pleiotropy analysis with MR-Egger intercept indicated no evidence of significant directional pleiotropy (P = .70645) for LP. There was no evidence of directional pleiotropy effects between T1D and LP. One hundred eighteen differentially expressed genes were identified. In biological processes, they were mainly enriched in apoptosis, inflammatory response, insulin receptor signaling pathway, glucose metabolism. In cellular components, enrichment was observed in mediator complex and replication fork. In molecular function, they were concentrated in leukotriene receptor activity and helicase activity. Kyoto Encyclopedia of Genes and Genomes analysis revealed enrichment in metabolic pathways, PI3K-Akt signaling pathway, cell cycle, p53 signaling pathway, AGE-RAGE signaling pathway in diabetic complications. Weighted gene co-expression network analysis with a soft threshold power of 4. SIRPG showing high expression in both T1D and LP samples. There is a positive causal relationship between T1D and LP. Comparative toxicogenomics database analysis revealed associations of core genes with metabolic syndrome, lipid metabolism disorders, cardiovascular diseases, immune system diseases, peripheral neuropathic pain, and inflammation. SIRPG is highly expressed in both T1D and LP, providing a new insight into the pathogenesis of T1D and LP.

Cleaved Amplified Polymorphic Sequence Markers in Horticultural Crops: Current Status and Future Perspectives

DNA markers have broad applications, including marker-assisted selection (MAS) for breeding new cultivars. Currently, single nucleotide polymorphisms (SNPs) have become a preferred choice of markers for molecular geneticists and breeders. They offer many advantages, such as high abundance and coverage in the genome, codominant inheritance, locus specificity, and flexibility for high-throughput genotyping/detection formats, and they are relatively inexpensive. The availability of reference genome sequences enables precise identification of candidate genes and SNPs associated with a trait of interest through quantitative trait loci (QTL) mapping and genome-wide association studies (GWAS). Such SNPs can be converted into markers for their application in MAS in crop breeding programs. Cleaved amplified polymorphic sequence (CAPS) markers amplify short genomic sequences around the polymorphic endonuclease restriction site. This review provides insight into the recent advancements made in the development and application of CAPS markers in several horticultural plants. We discussed many new tools that aid faster and more accurate design of CAPS markers from the whole genome resequencing (WGRS) data. The developed CAPS markers offer immense application in germplasm screening and field trials, genomic loci mapping, identifying candidate genes, and MAS of important horticultural traits such as disease resistance, fruit quality and morphology, and genetic purity.

Programmable DNA-based nanostructure sensors for mutation detection coupled with asymmetric amplification in precision genome profiling

We introduce a DNA-based nanostructure sensor for the rapid, precise identification of single-nucleotide polymorphisms (SNPs), a key factor in determining disease susceptibility and tailoring medical treatment. The proposed two-state sensor design facilitates multiplexed, sequence-specific detection of double-stranded genomic DNA (gDNA), overcoming traditional obstacles presented by base pairing interference. Utilizing detector strands with binding penalties, the sensor achieves high SNP specificity, discernible by distinct gel electrophoresis band positions. Coupled with asymmetric PCR (asy-PCR), our integrated system amplifies genetic profiling effectiveness, especially in clinical biopsies, enhancing gDNA detection sensitivity and specificity for concurrent multiple mutation identifications. This cost-effective method ($0.41 per test) streamlines mutation screening, enabling high-throughput analysis with limited equipment—requiring only a single staining agent and a unified electrophoresis apparatus. Validated clinically with 70 colorectal cancer samples, the system boasts a 98.57% sensitivity and 95.71% specificity for KRAS mutations, surpassing traditional PCR detection and uncovering low-frequency mutations untraceable by direct sequencing. Our findings suggest this asy-PCR enhanced DNA-based nanostructure sensor system has the potential to revolutionize genetic diagnostics, offering expansive applications in detecting viral variants and microbial strains, thus advancing personalized genetic testing.

MiRNASNP-v4: a comprehensive database for miRNA-related SNPs across 17 species.

Single nucleotide polymorphisms (SNPs) within microRNAs (miRNAs) and their target binding sites can influence miRNA biogenesis and target regulation, thereby participating in a variety of diseases and biological processes. Current miRNA-related SNP databases are often species-limited or based on outdated data. Therefore, we updated our miRNASNP database to version 4 by updating data, expanding the species from Homo sapiens to 17 species, and introducing several new features. In miRNASNP-v4, 82580 SNPs in miRNAs and 24836179 SNPs in 3'UTRs of genes across 17 species were identified and their potential effects on miRNA secondary structure and target binding were characterized. In addition, compared to the last release, miRNASNP-v4 includes the following improvements: (i) gene enrichment analysis for gained or lost miRNA target genes; (ii) identification of miRNA-related SNPs associated with drug response and immune infiltration in human cancers; (iii) inclusion of experimentally supported immune-related miRNAsand (iv) online prediction tools for 17 animal species. With the extensive data and user-friendly web interface, miRNASNP-v4 will serve as an invaluable resource for functional studies of SNPs and miRNAs in multiple species. The database is freely accessible at http://gong_lab.hzau.edu.cn/miRNASNP/.

2-Aryl-Benzoimidazoles as Type II NADH Dehydrogenase Inhibitors of Mycobacterium tuberculosis.

The nonproton pumping type II NADH dehydrogenase in Mycobacterium tuberculosis is essential for meeting the energy needs in terms of ATP under normal aerobic and stressful hypoxic environmental states. Type II NADH dehydrogenase conduits electrons into the electron transport chain in Mycobacterium tuberculosis, which results in ATP synthesis. Therefore, the inhibition of NDH-2 ensures the abolishment of the entire ATP synthesis machinery. Also, type II NADH dehydrogenase is absent in the mammalian genome, thus making it a potential target for antituberculosis drug discovery. Herein, we have screened a commercially available library of drug-like molecules and have identified a hit having a benzimidazole core moiety (6, H37Rv mc26230; minimum inhibitory concentration (MIC) = 16 μg/mL and ATP IC50 = 0.23 μg/mL) interfering with the oxidative phosphorylation pathway. Extensive medicinal chemistry optimization resulted in analogue 8, with MIC = 4 μg/mL and ATP IC50 = 0.05 μg/mL against the H37Rv mc26230 strain of Mycobacterium tuberculosis. Compounds 6 and 8 were found to be active against mono- and multidrug-resistant mycobacterium strains and demonstrated a bactericidal response. The Peredox-mCherry experiment and identification of single-nucleotide polymorphisms in mutants of CBR-5992 (a known type II NADH dehydrogenase inhibitor) were used to confirm the molecules as inhibitors of the type II NADH dehydrogenase enzyme. The safety index >10 for the test active molecules revealed the safety of test molecules.

Identification of growth-related genes based on BSA in Pacific white shrimp Litopenaeus vannamei

The development of SNP genotyping techniques has facilitated the application of genome-wide association studies (GWAS) and genomic selection (GS) in plants and animals. However, the cost of high-throughput SNP genotyping is particularly high in the case of aquaculture animals which can produce a large number of offspring. Consequently, a cost effective method for trait-associated SNP identification and application was urgently needed in aquaculture breeding. In this study, a Bulk Segregation Analysis sequencing (BSA-seq) method was employed to identify growth-related single nucleotide polymorphisms (SNPs) and genes in the Pacific white shrimp Litopenaeus vannamei. Two independent families were used for this analysis to reduce the false positive. The DNA of individuals with the highest and lowest body weights was pooled separately. Two methods including the ED (Euclidean distance) method and the chi-square test were applied to calculate the allele differences between high and low growth rate individuals. A total of 24,325,437 SNPs were identified and consequently 1,299 SNPs and 163 genes were identified to be associated with growth traits. KEGG enrichment analysis showed that these genes were significantly enriched in phosphatidylinositol signaling system and phospholipase D signaling pathway. The diacylglycerol kinase genes, phosphatidylinositol 3-kinase genes, inositol polyphosphate 5-phosphatase genes, mitogen-activated protein kinase genes, myotubularin-related protein genes and epidermal growth factor receptor genes in these pathways were considered as candidate growth genes. This study demonstrated that the BSA-seq based on whole genome resequencing is cost-effective and useful in aquaculture. The results not only provide useful information for understanding the genetic basis of growth traits, but also offer a source of SNPs for marker-assisted selection (MAS) and genomic selection (GS) in shrimp.

Cardiovascular Disease May Be Triggered by Gut Microbiota, Microbial Metabolites, Gut Wall Reactions, and Inflammation

Cardiovascular disease (CVD) may be inherited, as recently shown with the identification of single nucleotide polymorphisms (SNPs or “snips”) on a 250 kb DNA fragment that encodes 92 proteins associated with CVD. CVD is also triggered by microbial dysbiosis, microbial metabolites, metabolic disorders, and inflammatory intestinal epithelial cells (IECs). The epithelial cellular adhesion molecule (Ep-CAM) and trefoil factor 3 (TFF3) peptide keeps the gut wall intact and healthy. Variations in Ep-CAM levels are directly linked to changes in the gut microbiome. Leptin, plasminogen activator inhibitor 1 (PAI1), and alpha-1 acid glycoprotein 1 (AGP1) are associated with obesity and may be used as biomarkers. Although contactin 1 (CNTN1) is also associated with obesity and adiposity, it regulates the bacterial metabolism of tryptophan (Trp) and thus appetite. A decrease in CNTN1 may serve as an early warning of CVD. Short-chain fatty acids (SCFAs) produced by gut microbiota inhibit pro-inflammatory cytokines and damage vascular integrity. Trimethylamine N-oxide (TMAO), produced by gut microbiota, activates inflammatory Nod-like receptors (NLRs) such as Nod-like receptor protein 3 (NLRP3), which increase platelet formation. Mutations in the elastin gene (ELN) cause supra valvular aortic stenosis (SVAS), defined as the thickening of the arterial wall. Many of the genes expressed by human cells are regulated by gut microbiota. The identification of new molecular markers is crucial for the prevention of CVD and the development of new therapeutic strategies. This review summarizes the causes of CVD and identifies possible CVD markers.

Identification of clade-defining single nucleotide polymorphisms for improved rabies virus surveillance

BackgroundRabies is an ancient disease that remains endemic in many countries. It causes many human deaths annually, predominantly in resource-poor countries. Over evolutionary timelines, several rabies virus (RABV) genotypes have stabilised, forming distinct clades. Extensive studies have been conducted on the origin, occurrence and spread of RABV clades. Single nucleotide polymorphisms (SNPs) distribution across the RABV genome and its clades remains largely unknown, highlighting the need for comprehensive whole-genome analyses. MethodsWe accessed whole genome sequences for RABV from public databases and identified SNPs across the whole genome sequences. Then, we annotated these SNPs using an R script, and these SNPs were categorised into different categories; universal, clade-specific, and clade-defining, based on the frequency of occurrence. ResultsIn this study, we present the SNPs occurring in the RABV based on whole genome sequences belonging to 8 clades isolated from 7 different host species likely to harbour dog-related rabies. We classified mutations into several classes based on their location within the genome and assessed the effect of SNP mutations on the viral glycoprotein. ConclusionsThe clade-defining mutations have implications for targeted surveillance and classification of clades. Additionally, we investigated the effects of these mutations on the Glycoprotein of the virus. Our findings contribute to expanding knowledge about RABV clade diversity and evolution, which has significant implications for effectively tracking and combatting RABV transmission.

Identification of a functional single nucleotide polymorphism in the FASN promoter associated with milk fat traits in dairy cattle.

Identification of a functional single nucleotide polymorphism in the FASN promoter associated with milk fat traits in dairy cattle.

Identification of New Single Nucleotide Polymorphisms Potentially Related to Small Ruminant Lentivirus Infection Susceptibility in Goats Based on Data Selected from High-Throughput Sequencing.

Small ruminant lentivirus (SRLV) infections are spread in the flocks of sheep and goats all over the world, causing economic loss. Although only a fraction of infected animals develop disease symptoms, all of them may shed the virus, causing uncontrolled spread of the infection. Antibodies against the virus can be detected in the blood of infected animals and are the main marker of infection. Additionally, in most infected animals, proviral DNA can also be detected, but at different levels. Due to the lack of treatment or vaccines, the most effective strategy to prevent SRLV infections are control programmes introduced by several countries based on the elimination of seropositive individuals from the flock. An alternative approach, which has currently become the rationale, is an identification of host factors which may predispose certain individuals or breeds to resistance or susceptibility to small ruminant lentivirus infection. In our work, attention was paid to goats of the Carpathian breed infected with SRLV. Available RNA-seq results from the blood of 12 goats with a determined level of SRLV proviral load were used to analyse single nucleotide polymorphisms (SNPs) by the variant calling method. Six SNPs within five genes (POU2AF1, BCAT2, TMEM154, PARP14, UBASH3A) were selected for genotyping to determine their association with the level of small ruminant lentivirus proviral DNA in a group of 60 goats. Interestingly, in seronegative individuals, only the TT genotype of the PARP14 gene was observed, while the TMEM154 CC genotype was found only in seropositive goats. Both genes may be considered potential markers for resistance/susceptibility to SRLV infection. In contrast, polymorphisms identified in POU2AF1 and UBASH3A genes seemed to be deleterious for respective protein functions; therefore, these genes are less likely to be recognised as resistance/susceptibility markers of SRLV infection.

A comprehensive guide to bioinformatics tools and databases

The interest in the functional aspects of the genome has increased eventually with the expansion of genomic databases. In this review, various genetic alterations within the genome, such as Single Nucleotide Polymorphisms (SNPs), disease-associated mutations, neutral polymorphisms, and small insertions or deletions (INDELs), have been identified and characterized. These polymorphisms, particularly SNPs, have become widely employed in genetic analyses, serving as valuable molecular markers. They are applied across diverse genetic studies, including the reconstruction of haplotypes. In addition to experimental methods for investigating specific genetic variants, there has been a significant surge in bioinformatics research over the past decade, aimed at the molecular consequences of these genetic alterations. Haplotypes, which represent various alleles of a gene, can be reconstructed not only for entire chromosomes but also for specific genes, utilizing the information derived from SNPs. The computational approach to SNP and haplotype discovery has gained prominence due to the continuous expansion of sequence data within public databases. This growth enables more precise identification of SNPs. This article aims to introduce easily accessible and practical online tools for researchers. In summary, SNP and haplotype identification tools are indispensable in bioinformatics for studying genetic variation, population genetics, disease associations, and personalized medicine. They provide valuable insights into the genetic underpinnings of various traits and diseases, helping advance our understanding of genetics and its applications in healthcare.

A single rareσ70 variant establishes a unique gene expression pattern in the E. coli pathobiont LF82.

LF82, an adherent-invasive Escherichia coli (AIEC) pathobiont, is associated with Crohn's disease, an inflammatory bowel disease of unknown etiology. Although AIEC phenotypes differ from those of 'commensal' or pathogenic E. coli, work has failed to identify genetic features accounting for these differences. We have investigated a natural, but rare, single nucleotide polymorphism (SNP) in LF82 present within the highly conserved rpoD gene, encodingσ70 [primary sigma factor, RNA polymerase (RNAP)]. We demonstrate thatσ70 D445V results in transcriptomicand phenotypic changes consistent with LF82 phenotypes, including increased antibiotic resistance and biofilm formation and increased capacity for methionine biosynthesis. RNA-seq analyses comparingσ70 V445 versus σ70 D445 identified 24 genes upregulated byσ70 V445 in both LF82 and the laboratory E. coli K-12 strain MG1655. Using in vitro transcription, we demonstrate thatσ70 D445V directly increases transcription from promoters for several of the up-regulated genes and that the presence of a 16 bp spacer and -14 G:C is associated with this increase. The position of D445V within RNAP suggests that it could affect RNAP/spacer interaction. Our work represents the first identification of a distinguishing SNP for this pathobiont and suggests an underrecognized mechanism by which pathobionts and strain variants can emerge.

CattleAssigner: A framework for accurate assignment of individuals to cattle lineages and populations using minimum informative markers

Assigning individual animals to their respective breeds, populations or lineages has immense significance in the evolutionary analyses of global cattle populations besides detecting the underlying genetic variation that may likely have facilitated the adaptation of these breeds to diverse environmental conditions. It is also important in discovering the geographic patterns of genetic variation in cattle populations as well as tracing the geographical origin of breeds, food products, and diseases. Given this, the present study was undertaken to elucidate the minimum number of informative single nucleotide polymorphism (SNP) markers, originally generated using medium-density BovineSNP50 BeadChip across 1823 individuals represnting 73 populations, to assign individual animals to the corresponding lineage/group (African or European or Indicine or admixed) and respective populations within that lineage/group using two well-known supervised machine learning (ML) algorithms namely Random Forest (RF) and Extreme Gradient Boosting (XGBoost). Each of the two ML models were trained with the most informative SNP panels (with sizes of 48, 96, and 192) that were elucidated using two statistical methods i.e., principal component analysis (PCA) and Wright's fixation index (FST), and two ML methods (RF with Gini, and RF with MDA). Three panels with the topmost discriminant SNPs (at 192, 96, and 48 densities) were created for each of the marker preselection approaches. These panels were evaluated, based on their performance vis-à-vis animals’ assignment to respective lineage, population group or population. The results showed that XGBoost achieved the best accuracy of 95% with 192-SNP panel (selected via RF with MDA), followed by RF (93% accuracy) with 192-SNP panel (selected via RF with either Gini or MDA), for animal to lineage assignment. Similarly, RF trained with 48-SNP panel (selected via RF with Gini algorithm) achieved the best accuracy of 97% for assigning animals to African lineage, while it achieved the best accuracy of 89% for assigning animals to admixed populations using 96-SNP panel (selected via PCA). On the other hand, XGBoost achieved the best accuracy of 88% for assigning animals to European breeds using 192-SNP panel (selected via FST method). Furthermore, the results with both RF and XGBoost achieved a poor performance of assigning animals of Indicine lineage to the correct group as the best accuracy for such assignment was 66%, achieved using RF with 192-SNP panel (selected via FST method). In conclusion, the study reports the applicability of statistical and ML approaches for identification of discriminatory SNPs, useful the assignment of individuals to corresponding lineages and to respective populations within lineages besides revealing the efficiency of XGBoost and RF-based ML models in performing such assignments. Both the ML models achieved better performance as compared to statistical ones in assigning the animals to specific lineages while they faired comparably similar to each other for the assignment of individuals to respective populations within respective lineages or population groups.

Identification of specific injury-related SNPs in high-level athletes of Arab origin: A pilot study

Valuable insights for preventing sports injuries in athletes have been achieved through advancements in genetics. This study aimed to determine the allelic frequency of distinct single nucleotide polymorphisms (SNPs) in a group of high-level athletes of Arab origin and to explore whether any significant relationship exists between specific genotypes in the selected SNPs with the prevalence and severity of non-contact soft tissue injuries (NCSTIs) and stress fracture injuries (SFIs). A cohort of 30 Arab male adult athletes trained at the same Sports excellence Centre from various individual sports was recruited and genotyped for collagen type 5 alpha 1 (COL5A1) rs12722 and vitamin D receptor (VDR) rs10735810 variants. The injury data of participant athletes were collected over two training seasons and categorized according to the site and type (muscle, tendon, ligament, or stress fracture) and severity (mild, moderate, or severe). For the COL5A1 rs12722, the examined genotypes were not related to the NCSTIs occurrence, while for VDR rs10735810, the CT and TT genotypes showed a prevalence for increased stress fracture injuries (RR = 7.72; 95 % CI: 1.66–35.87; p = 0.011 and RR = 9.93; 95 % CI: 2.83–34.89; p < 0.001, respectively), and increased odds for severe stress fractures (OR = 10.91, 95 % CI: 1.34–126.92, p = 0.033). This pilot study indicates a possible association between specific genotypes in the examined polymorphisms and the prevalence and severity of NCSTIs and SFIs. Given the constraints of the small sample size in the current study, additional research is required to gain a comprehensive understanding of this specific population.

Exploring Genetic Interactions in Colombian Women with Polycystic Ovarian Syndrome: A Study on SNP-SNP Associations.

Polycystic ovary syndrome (PCOS) is an endocrine and metabolic disorder with high prevalence in women around the world. The identification of single-nucleotide polymorphisms (SNPs) through genome-wide association studies has classified it as a polygenic disease. Most studies have independently evaluated the contribution of each SNP to the risk of PCOS. Few studies have assessed the effect of epistasis among the identified SNPs. Therefore, this exploratory study aimed to evaluate the interaction of 27 SNPs identified as risk candidates and their contribution to the pathogenesis of PCOS. The study population included 49 control women and 49 women with PCOS with a normal BMI. Genotyping was carried out through the MassARRAY iPLEX single-nucleotide polymorphism typing platform. Using the multifactor dimensionality reduction (MDR) method, the interaction between SNPs was evaluated. The analysis showed that the best interaction model (p < 0.0001) was composed of three loci (rs11692782-FSHR, rs2268361-FSHR, and rs4784165-TOX3). Furthermore, a tendency towards synergy was evident between rs2268361 and the SNPs rs7371084-rs11692782-rs4784165, as well as a redundancy in rs7371084-rs11692782-rs4784165. This pilot study suggests that epistasis may influence PCOS pathophysiology. Large-scale analysis is needed to deepen our understanding of its impact on this complex syndrome affecting thousands of women.

Identification of single nucleotide polymorphisms in BMP-2 gene and their associations with productive traits in Rainbow Trout

Relevance. Aquaculture is occupying an increasingly important place in fish farming, as it allows obtaining more products per unit area. In recent years, special attention has been paid to the development of new breeds of Rainbow Trout in order to obtain fish forms adapted to aquaculture conditions. One of the significant breeding achievements is the Ropshinsky golden trout, characterized by attractive scale coloration. Taking into account the emergence of such forms of fish, research to identify genetic characteristics is of particular relevance. The BMP-2 gene is an important determinant of fish growth and development, so a comprehensive study of its structure will allow us to identify the most favorable genotypes in producers for their use in further selection and breeding.Results. The aim of the work is to identify single nucleotide polymorphisms (SNPs) in the studied gene and link their presence in parental forms with their productive traits. In particular, after sequencing, several SNPs were identified in different positions both in the intron and exon regions of the gene. The frequencies of occurrence of genotypes in parents were calculated and a number of quantitative traits were measured in the offspring numbered of 50 individuals from each crossing pair. In some cases, it was possible to establish statistically significant associations between the identified SNPs and productive traits in females and males — the parents of the resulting offspring. In females, an association was established between head length and SNP in one gene region, and in males, an association of another polymorphism with ejaculate volume has been demonstrated.

Noninvasive Prenatal Genetic Screening of Cell-Free Fetal DNA for Early Prediction of β-Thalassemia Using Fiber Optic Nanogold-Linked Sorbent Assay.

β-Thalassemia is a prevalent type of severe inherited chronic anemia, primarily identified in developing countries. The identification of single nucleotide polymorphisms (SNPs) plays a vital role in the early diagnosis of genetic diseases. Here, we reported the development of an amplification-free fiber optic nanogold-linked sorbent assay method using a fiber optic particle plasmon resonance (FOPPR) biosensor for rapid and ultrasensitive detection of SNPs. Herein, MutS protein was selected as the biorecognition capture probe and immobilized on the sensing region to capture the target mutant DNA, which was hybridized with a single-base mismatched single-stranded DNA labeled by a gold nanoparticle (AuNP). The AuNP acts as a signaling agent to be detected by the FOPPR biosensor when it is bound on the fiber core surface. The method effectively differentiates mismatched double-stranded DNA by MutS protein from perfectly matched/complementary dsDNA. It exhibits an impressively low detection limit for the detection of SNPs at approximately 10-16 M using low-cost sensor chips and devices. By determination of the ratio of mutant DNA to normal DNA in cell-free genomic DNA from blood samples, this method is promising for diagnosing β-thalassemia in fetuses without invasive testing techniques.

Identification of Nonsynonymous SNPs in Immune-Related Genes Associated with Pneumonia Severity in Pigs.

We previously showed that several polymorphisms in genes encoding pattern recognition receptors that cause amino acid substitutions alter pathogen recognition ability and disease susceptibility in pigs. In this study, we expanded our analysis to a wide range of immune-related genes and investigated polymorphism distribution and its influence on pneumonia in multiple commercial pig populations. Among the polymorphisms in 42 genes causing 634 amino acid substitutions extracted from the swine genome database, 80 in 24 genes were found to have a minor allele frequency of at least 10% in Japanese breeding stock pigs via targeted resequencing. Of these, 62 single nucleotide polymorphisms (SNPs) in 23 genes were successfully genotyped in 862 pigs belonging to four populations with data on pneumonia severity. Association analysis using a generalized linear mixed model revealed that 12 SNPs in nine genes were associated with pneumonia severity. In particular, SNPs in the cellular receptor for immunoglobulin G FCGR2B and the intracellular nucleic acid sensors IFI16 and LRRFIP1 were found to be associated with mycoplasmal pneumonia of swine or porcine pleuropneumonia in multiple populations and may therefore have wide applications in the improvement of disease resistance in pigs. Functional analyses at the cellular and animal levels are required to clarify the mechanisms underlying the effects of these SNPs on disease susceptibility.