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This study introduces a thermoplastic microdevice integrated with additive-enhanced allele-specific amplification and hydrazine-induced silver nanoparticle-based detection of single nucleotide polymorphism (SNP) and opportunistic pathogens. For point-of-care testing of SNP, an allele-specific loop-mediated isothermal amplification reaction using nucleotide-mismatched primers and molecular additives was evaluated to discriminate single-nucleotide differences in the samples. The microdevice consists of purification and reaction units that enable DNA purification, amplification, and detection in a sequential manner. The purification unit enables the silica-based preparation of samples using an embedded glass fiber membrane. Hydrazine-induced silver nanoparticle formation was employed for endpoint colorimetric detection of amplicons within three min at room temperature. The versatile applicability of the microdevice was demonstrated by the successful identification of SNPs related to sickle cell anemia, genetically-induced hair loss, and Enterococcus faecium. The microdevice exhibited a detection limit of 103 copies per μL of SNP targets in serum and 102 CFU mL−1 of Enterococcus faecium in tap water within 70 min. The proposed microdevice is a promising and versatile platform for point-of-care nucleic acid testing of different samples in low-resource settings. [ABSTRACT FROM AUTHOR]

Background: COVID-19, caused by SARS-CoV-2 has become the most threatening issue to all populations around the world. It is, directly and indirectly, affecting all of us and thus, is an emerging topic dealt in global health. To avoid the infection, various studies have been done and are still ongoing. COVID-19 cases are reported all over the globe, and among the millions of cases, genetic similarity may be seen. The genetical common features seen within confirmed cases may help outline the tendency of infection and degree severity of the disease. Here, we reviewed multiple papers on SNPs related to SARS-CoV-2 infection and analyzed their results. Methods: The PubMed databases were searched for papers discussing SNPs associated with SARS-CoV-2 infection and severity. Clinical studies with human patients and statistically showing the relevance of the SNP with virus infection were included. Quality Assessment of all papers was done with Newcastle Ottawa Scale. Results: In the analysis, 21 full-text literature out of 2956 screened titles and abstracts, including 63,496 cases, were included. All were human-based clinical studies, some based on certain regions gathered patient data and some based on big databases obtained online. ACE2, TMPRSS2, and IFITM3 are the genes mentioned most frequently that are related to SARS-CoV-2 infection. 20 out of 21 studies mentioned one or more of those genes. The relevant genes according to SNPs were also analyzed. rs12252-C, rs143936283, rs2285666, rs41303171, and rs35803318 are the SNPs that were mentioned at least twice in two different studies. Conclusions: We found that ACE2, TMPRSS2, and IFITM3 are the major genes that are involved in SARS-CoV-2 infection. The mentioned SNPs were all related to one or more of the above-mentioned genes. There were discussions on certain SNPs that increased the infection and severity to certain groups more than the others. However, as there is limited follow-up and data due to a shortage of time history of the disease, studies may be limited. [ABSTRACT FROM AUTHOR]

Genome-wide association studies have demonstrated that combinations of single nucleotide polymorphisms (SNPs), rather than individual SNPs, represent genetic signatures that correlate with heterogeneous and complex diseases. In this context, we developed a paper-based device that provides visual detection of a 10-SNP panel as a genetic signature associated with the risk for breast cancer. The method involves multiplex PCR amplification, multiplex extension reaction of allele-specific primers, without prior purification of the amplified sequences, and, finally, capture and visualization of the extension products within minutes on the device. Detection and monitoring are accomplished either by naked eye or by scanning with a common flatbed scanner. The total assay time is ∼ 2 h. The method was evaluated by using 21 clinical samples of known genotypes. The results were fully concordant with the reference method (sequencing). The proposed method is accurate, simple, rapid, and cost-effective. Visual detection does not require specialized instrumentation or highly trained technical personnel. We anticipate that the proposed device will become a useful analytical tool for precision medicine of breast cancer. [ABSTRACT FROM AUTHOR]

Explaining the evolution of helping behaviour in the eusocial insects where nonreproductive ("worker") individuals help raise the offspring of other individuals ("queens") remains one of the most perplexing phenomena in the natural world. Polistes paper wasps are popular study models, as workers retain the ability to reproduce: such totipotency is likely representative of the early stages of social evolution. Polistes is thought to have originated in the tropics, where seasonal constraints on reproductive options are weak and social groups are effectively perennial. Yet, most Polistes research has focused on nontropical species, where seasonality causes family groups to disperse; cofoundresses forming new nests the following spring are often unrelated, leading to the suggestion that direct fitness through nest inheritance is key in the evolution of helping behaviour. Here, we present the first comprehensive genetic study of social structure across the perennial nesting cycle of a tropical Polistes—Polistes canadensis. Using both microsatellites and newly developed single nucleotide polymorphism markers, we show that adult cofoundresses are highly related and that brood production is monopolized by a single female across the nesting cycle. Nonreproductive cofoundresses in tropical Polistes therefore have the potential to gain high indirect fitness benefits as helpers from the outset of group formation, and these benefits persist through the nesting cycle. Direct fitness may have been less important in the origin of Polistes sociality than previously suggested. These findings stress the importance of studying a range of species with diverse life history and ecologies when considering the evolution of reproductive strategies. [ABSTRACT FROM AUTHOR]

Background: Developmental dysplasia of the hip (DDH) is a congenital condition affecting 2–3% of all newborns. DDH increases the risk of osteoarthritis and is the cause of 30% of all total hip arthroplasties in adults < 40 years of age. We aim to explore the genetic background of DDH in order to improve diagnosis and personalize treatment. Methods: We conducted a structured literature review using PRISMA guidelines searching the Medline, Embase and Cochrane databases. We included 31 case control studies examining single nucleotide polymorphisms (SNPs) in non-syndromic DDH. Results: A total of 73 papers were included for full text review, of which 31 were single nucleotide polymorphism (SNP) case/control association studies. The literature review revealed that the majority of published papers on the genetics of DDH were mostly underpowered for detection of any significant association. One large genome wide association study has been published (N = 9,915), establishing GDF5 as a plausible risk factor. Conclusions: DDH is known to be congenital and heritable, with family occurrence of DDH already included as a risk factor in most screening programs. Despite this, high quality genetic research is scarce and no genetic risk factors have been soundly established, prompting the need for more research. [ABSTRACT FROM AUTHOR]

Genetic variation in taste is one of the factors that influence taste perception. This study is carried out to ascertain whether CD36 gene variants and PROP taster status are associated with fatty taste sensitivity and perception among lean and obese individuals. A total of 103 obese and 77 lean subjects with mean age of 25.78 ± 5.65 years who took part in the study were classified into PROP nontasters, medium tasters, or supertasters by using the PROP filter paper screening procedure. The suprathreshold sensitivity for linoleic acid solutions and intensity towards two food products (‘Bubur Chacha’ and mango pudding) with different fat content was assessed using the general Labeled Magnitude Scales. The subjects were genotyped for CD36 gene variants (Single Nucleotide Polymorphism (SNPs): rs1761667, rs152748 and rs1049673). It was observed that obese subjects were less sensitive toward fatty taste and gave a lower creaminess rating for the studied food products. Only one CD36 gene polymorphism i.e. rs1761677 and PROP taster status were associated with fat suprathreshold rating. Subjects with AA homozygous for rs1761667 and the supertaster perceived higher oiliness in linoleic acid solution. PROP supertaster significantly perceived higher creaminess in both the food products, but no association was observed between the creaminess rating and CD36 gene variant (rs1761667). All the CD36 gene variants and PROP taster status were not associated with obesity status. These findings indicated that even though the CD36 gene variant influences individuals’ oral fat sensitivity, PROP taster status plays a more dominant role in fat taste perception among obese and non-obese individuals. [ABSTRACT FROM AUTHOR]

Background: Aedes aegypti (L.) is the main vector of dengue, yellow fever, Zika, and chikungunya viruses in many parts of the world, impacting millions of people worldwide each year. Insecticide-based interventions have been effective in controlling Aedes mosquito populations for several years, but in recent times, resistance to these compounds has developed, posing a global threat to the control of this mosquito. Methods: Ovitraps were used to collect A. aegypti eggs in the cities of Tartagal and San Ramón de la Nueva Orán (Salta), Puerto Iguazú (Misiones), and Clorinda (Formosa). World Health Organization (WHO)-impregnated papers with the discriminating concentration (DC) of permethrin, 5X, 10X and pirimiphos methyl were used for the toxicological bioassays. We also genotyped each sample for the three kdr single nucleotide polymorphisms (SNP): V410L, V1016I, and F1534C in individual TaqMan quantitative PCR (qPCR) reactions. Results: All investigated A. aegypti populations were highly resistant to permethrin, as the mortality percentage with the permethrin 10×DC remained below 98%. However, all populations were 100% susceptible to pirimiphos-methyl. Kdr genotyping demonstrated the presence of the V410L mutation for the first time in Argentina in all the populations studied. A prevalence of the triple mutant genotype (LL + II + CC) was observed in the northeastern cities of Clorinda (83.3%) and Puerto Iguazú (55.6%). Conclusions: This study demonstrates for the first time the presence and intensity of resistance to permethrin in different populations from Argentina, and correlates the observed phenotype with the presence of kdr mutations (genotype). [ABSTRACT FROM AUTHOR]

Background: An application of artificial intelligence is machine learning, which allows computer programs to learn and create data. Methods: In this work, we aimed to evaluate the performance of the MySLR machine learning platform, which implements the Latent Dirichlet Allocation (LDA) algorithm in the identification and screening of papers present in the literature that focus on mutations of the apolipoprotein E (ApoE) gene in Italian Alzheimer's Disease patients. Results: MySLR excludes duplicates and creates topics. MySLR was applied to analyze a set of 164 scientific publications. After duplicate removal, the results allowed us to identify 92 papers divided into two relevant topics characterizing the investigated research area. Topic 1 contains 70 papers, and topic 2 contains the remaining 22. Despite the current limitations, the available evidence suggests that articles containing studies on Italian Alzheimer's Disease (AD) patients were 65.22% (n = 60). Furthermore, the presence of papers about mutations, including single nucleotide polymorphisms (SNPs) ApoE gene, the primary genetic risk factor of AD, for the Italian population was 5.4% (n = 5). Conclusion: The results show that the machine learning platform helped to identify case-control studies on ApoE gene mutations, including SNPs, but not only conducted in Italy. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the impact of early treatment and IL1RN genetic variants on the response to anakinra in systemic juvenile idiopathic arthritis (JIA). Methods: Response to anakinra was defined as achievement of clinically inactive disease (CID) at 6 months without glucocorticoid treatment. Demographic, clinical, and laboratory characteristics of 56 patients were evaluated in univariate and multivariate analyses as predictors of response to treatment. Six single‐nucleotide polymorphisms (SNPs) in the IL1RN gene, previously demonstrated to be associated with a poor response to anakinra, were genotyped by quantitative polymerase chain reaction (qPCR) or Sanger sequencing. Haplotype mapping was performed with Haploview software. IL1RN messenger RNA (mRNA) expression in whole blood from patients, prior to anakinra treatment initiation, was assessed by qPCR. Results: After 6 months of anakinra treatment, 73.2% of patients met the criteria for CID without receiving glucocorticoids. In the univariate analysis, the variable most strongly related to the response was disease duration from onset to initiation of anakinra treatment, with an optimal cutoff at 3 months (area under the curve 84.1%). Patients who started anakinra treatment ≥3 months after disease onset had an 8‐fold higher risk of nonresponse at 6 months of treatment. We confirmed that the 6 IL1RN SNPs were inherited as a common haplotype. We found that homozygosity for ≥1 high‐expression SNP correlated with higher IL1RN mRNA levels and was associated with a 6‐fold higher risk of nonresponse, independent of disease duration. Conclusion: Our findings on patients with systemic JIA confirm the important role of early interleukin‐1 inhibition and suggest that genetic IL1RN variants predict nonresponse to therapy with anakinra. [ABSTRACT FROM AUTHOR]

The cell-free genomic DNA (gDNA) concentration in serum ranges from 1500 to 7500 copies/mL within 2 h after phlebotomy (6–24 times the concentration observed in plasma). Here, we aimed to evaluate the gDNA size distribution in serum with time after coagulation and to test if crude serum can be directly used as a source of gDNA for qPCR. Next, we investigated if single nucleotide polymorphisms (SNPs) could be genotyped directly from the crude serum isolated from capillary blood using a hand-powered paper centrifuge. All tested PCR targets (65, 100, 202 and 688 base pairs) could be successfully amplified from DNA extracted from serum, irrespective of their amplicon size. The observed qPCR quantitation cycles suggested that the genomic DNA yield increased in serum with incubation at room temperature. Additionally, only 65 and 101 base pair qPCR targets could be amplified from crude serum soon after the coagulation. Incubation for 4 days at room temperature was necessary for the amplification of PCR targets of 202 base pairs. The 688 base pair qPCR target could not be amplified from serum directly. Lastly, serum was successfully separated from capillary blood using the proposed paper centrifuge and the genotypes were assigned by testing the crude serum using allele-specific qPCR, producing small amplicon sizes in complete agreement with the genotypes assigned by testing the DNA extracted from whole blood. The serum can be used directly as the template in qPCR for SNP genotyping, especially if small amplicon sizes are applied. This shortcut in the SNP genotyping process could further molecular point-of-care diagnostics due to elimination of the DNA extraction step. [ABSTRACT FROM AUTHOR]

The International Journal of Molecular Sciences has published a Special Issue titled "New Advances in Metabolic Syndrome," which features high-quality original papers written by prominent leaders in the field. Metabolic syndrome (MetS) is a cluster of derangements that includes insulin resistance, central obesity, hyperglycemia, hypertension, and lipid abnormalities. The issue covers various topics, including genetic susceptibility, obesity features, novel management approaches, blood pressure findings in special populations, glucose disturbances, and the connection between MetS and liver dysfunction and neoplastic risk. Additionally, the issue includes reviews on the role of the gut microbiome in health and disease, gestational diabetes, and the link between MetS and Alzheimer's disease. The aim of the Special Issue is to provide an update on the latest research in MetS and contribute to future therapeutic breakthroughs. [Extracted from the article]

Spots of blood are routinely collected from newborn babies onto filter paper called Guthrie cards and used to screen for metabolic and genetic disorders. The archived dried blood spots are an important and precious resource for genomic research. Whole genome amplification of dried blood spot DNA has been used to provide DNA for genome-wide SNP genotyping. Here we describe a 96 well format procedure to extract DNA from a portion of a dried blood spot that provides sufficient unamplified genomic DNA for genome-wide single nucleotide polymorphism (SNP) genotyping. We show that SNP genotyping of the unamplified DNA is more robust than genotyping amplified dried blood spot DNA, is comparable in cost, and can be done with thousands of samples. This procedure can be used for genome-wide association studies and other large-scale genomic analyses that require robust, high-accuracy genotyping of dried blood spot DNA. [ABSTRACT FROM AUTHOR]

In this cohort profile article we describe the lifetime major depressive disorder (MDD) database that has been established as part of the BIObanks Netherlands Internet Collaboration (BIONIC). Across the Netherlands we collected data on Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) lifetime MDD diagnosis in 132,850 Dutch individuals. Currently, N = 66,684 of these also have genomewide single nucleotide polymorphism (SNP) data. We initiated this project because the complex genetic basis of MDD requires large population-wide studies with uniform in-depth phenotyping. For standardized phenotyping we developed the LIDAS (LIfetime Depression Assessment Survey), which then was used to measure MDD in 11 Dutch cohorts. Data from these cohorts were combined with diagnostic interview depression data from 5 clinical cohorts to create a dataset of N = 29,650 lifetime MDD cases (22%) meeting DSM-5 criteria and 94,300 screened controls. In addition, genomewide genotype data from the cohorts were assembled into a genomewide association study (GWAS) dataset of N = 66,684 Dutch individuals (25.3% cases). Phenotype data include DSM-5 -based MDD diagnoses, sociodemographic variables, information on lifestyle and BMI, characteristics of depressive symptoms and episodes, and psychiatric diagnosis and treatment history. We describe the establishment and harmonization of the BIONIC phenotype and GWAS datasets and provide an overview of the available information and sample characteristics. Our next step is the GWAS of lifetime MDD in the Netherlands, with future plans including fine-grained genetic analyses of depression characteristics, international collaborations and multi-omics studies. [ABSTRACT FROM AUTHOR]

Simple Summary: A bibliometric analysis was carried out to know the evolution of research on genes associated with meat tenderness, of interest for the development of selection programs. Since 1993, studies have been limited to a few researchers in high-income countries due to the costs associated with the techniques. The main findings showed that the scientific production had a discontinuous growth because science experienced a significant change since approximately 2010. Marker-assisted selection was widely used, evaluating mainly CAPN (calpain) and CAST (calpastatin) genes for their contribution to meat tenderness, especially in cattle. However, the effects are small; therefore, genomic selection was implemented by genotyping thousands of single nucleotide polymorphisms (SNPs) for further explanation of genetic variation. The results shown are important for scholars to identify emerging methodologies and gaps in the literature and to know who the prolific authors and institutions in the field for possible collaborations, etc., are. Tenderness is one of the main characteristics of meat because it determines its price and acceptability. This is the first bibliometric study on the trend of research on the role of genes in meat tenderness. A total of 175 original and English-language articles published up to 2021 were retrieved from Scopus. The bibliometric analysis was carried out with VOSviewer (version 1.6.18, Eck and Waltman, Leiden, Netherlands) and complemented with the Analyze search results service from Scopus. Erroneous and duplicate data were eliminated, and incomplete information was added to standardize the results. Scientific production was evaluated by means of quantity, quality and structure indicators. As a first glance, 8.816% of authors have published more than 50% of papers mainly related to genes encoding the calpain (CAPN)-calpastatin (CAST) system and single nucleotide polymorphisms (SNPs). Among other findings, a strong link was found between the contribution of the main countries (led by the United States with) and their institutions (led by the USDA Agricultural Research Service with) to their gross domestic product. Most studies on the topic are published in the Journal of Animal Science, and other journals with high impact according to the number of citations and different metrics. Finally, when evaluating the most cited articles, the occurrence and association of the main keywords, it was confirmed that research is focused on the role of CAPN and CAST genes and of SNPs in beef tenderness. The change in science was emphasized; although marker-assisted selection is still used, genes have an infinitesimal effect on complex traits. Therefore, since about 2010, new research groups adopted genomic selection to evaluate dense panels of SNPs and better explain genetic variation in meat tenderness. [ABSTRACT FROM AUTHOR]

Studies on vitamin D receptor (VDR) and its association with multiple disorders are expanding. This bibliometric study aims to find and summarize VDR-related publications, and compare them across various countries, organizations, and journals to demonstrate trends in VDR research. VOSviewer and Excel 2019 were used to classify and summarize Web of Science articles from 1900 to mid-2021. Total records of 8762 articles were analyzed, and maps of co-citations bibliometric keywords co-occurrence were designed. In conclusion, relative research interest and published papers related to VDR were growing in the past 30 years. The United States of America dominates the research regarding VDR. The highest quality of VDR research was achieved by the University of California System, University of Wisconsin System, and Harvard University. J Steroid Biochem Mol Biol, PLoS One, and J Biol Chem are the leading three productive journals on VDR. Various aspects of vitamin D deficiency associated disorders and genetic studies regarding VDR, including single nucleotide polymorphism, gene variants, epigenome, long non-coding ribonucleic acid (lncRNA), and small nucleolar RNA host gene 6 are potentially the recent research hotspot in this field. Moreover, coronavirus disease, polycystic ovary syndrome, non-alcoholic fatty liver disease, gut microbiota, gestational diabetes, systemic sclerosis, and chemoresistance are the trending medical conditions associated with VDR. [ABSTRACT FROM AUTHOR]

A member of the transforming growth factor-ß superfamily, myostatin (MSTN) functions in the regulation and growth of muscle mass in animals. The MSTN gene's single nucleotide polymorphisms (SNPs) are implicit in their relationship with growth traits in multiple agricultural species, although the research has been limited with regards to goats. As such, the objective of the paper was to conduct a systematic review of the relationship between the SNPs of the MSTN gene and growth traits in goats. 4 databases were systematically evaluated, and 6 studies were found to be eligible. The 6 included articles observed 24 SNPs of the MSTN gene across several breeds, and 5 articles identified 7 SNPs with a significant association to at least one growth trait. All identified SNPs were unique to the studies, except 368A>C of exon 1 which was identified in 2 articles and can potentially be used as a candidate genetic marker. The systematic review concludes that there is an existing relationship between the MSTN gene's SNPs and growth traits in goats and further studies need to be done to confirm the validity of the identified MSTN gene SNPs so that they might be used as potential genetic markers in goats. [ABSTRACT FROM AUTHOR]

Vitamin D requires activation to show its pharmacological effect. While most studies investigate the association between vitamin D and disease, only a few focus on the impact of vitamin D metabolism gene polymorphisms (vitDMGPs). This bibliometric study aims to provide an overview of current publications on vitDMGPs (CYP27B1, CYP24A1, CYP2R1, CYP27A1, CYP2R1, DHCR7/NADSYN1), compare them across countries, affiliations, and journals, and inspect keywords, co-citations, and citation bursts to identify trends in this research field. CiteSpace© (version 6.1.R3, Chaomei Chen), Bibliometrix© (R version 4.1.3 library, K-Synth Srl, University of Naples Federico II, Naples, Italy), VOSviewer© (version 1.6.1, Nees Jan van Eck and Ludo Waltman, Leiden University, Leiden, Netherlands) and Microsoft® Excel 365 (Microsoft, Redmond, Washington, USA) classified and summarized Web of Science articles from 1998 to November 2022. We analyzed 2496 articles and built a timeline of co-citations and a bibliometric keywords co-occurrence map. The annual growth rate of vitDMGPs publications was 18.68%, and their relative research interest and published papers were increasing. The United States of America leads vitDMGPs research. The University of California System attained the highest quality of vitDMGPs research, followed by the American National Institutes of Health and Harvard University. The three productive journals on vitDMGPs papers are J. Steroid. Biochem. Mol. Biol., PLOS ONE, and J. Clin. Endocrinol. Metab. We highlighted that the vitDMGPs domain is relatively new, and many novel research opportunities are available, especially those related to studying single nucleotide polymorphisms or markers in a specific gene in the vitamin D metabolism cycle and their association with disease. Genome-wide association studies, genetic variants of vitDMGPs, and vitamin D and its role in cancer risk were the most popular studies. CYP24A1 and CYB27A1 were the most-studied genes in vitDMGPs. Insulin was the longest-trending studied hormone associated with vitDMGPs. Trending topics in this field relate to bile acid metabolism, transcriptome and gene expression, biomarkers, single nucleotide polymorphism, and fibroblast growth factor 23. We also expect an increase in original research papers investigating the association between vitDMGPs and coronavirus disease 2019, hypercalcemia, Smith–Lemli–Opitz syndrome, 27-hydroxycholesterol, and mendelian randomization. These findings will provide the foundations for innovations in the diagnosis and treatment of a vast spectrum of conditions. [ABSTRACT FROM AUTHOR]

This study focuses on the genetic diversity and population structure of Prunus dulcis (almond tree), a crucial agricultural component with widespread cultivation and commercial importance, particularly in Iran, a region with a longstanding tradition of almond cultivation. The diverse almond collection in Iran encompasses many local varieties, breeding selections, rootstocks, and international cultivars. This diversity necessitates advanced genotyping techniques to gain insights into genetic diversity, population structure, and linkage disequilibrium (LD). In this paper, genotyping-by-sequencing (GBS) was employed to analyze 62 almond germplasm samples, identifying approximately 63,537 high-quality single nucleotide polymorphisms (SNPs) distributed across the eight chromosomes of the almond genome. On average, there were 30,225 SNPs per chromosome. The analysis yielded an average polymorphism information content (PIC) of 0.315 and an expected heterozygosity (He) rate of 0.28, indicating a significant level of genetic diversity within the studied almond germplasm. The LD analysis demonstrated a rapid decline, with an average LD decay spanning approximately 300 kb for an r2 value of 0.2. This suggests substantial hybridization among the sampled almond varieties. Principal Component Analysis (PCA) and structure analysis could not differentiate genotypes based on geographical origin, providing further evidence of genetic mixing among the studied almond populations. An Analysis of Molecular Variance (AMOVA) highlighted significant genetic diversity within populations but revealed minimal differences. This comprehensive study of Iran's almond genotypes offers valuable insights for future breeding and conservation efforts, emphasizing this agriculturally significant species abundant genetic diversity and intricate population structure. [ABSTRACT FROM AUTHOR]

Here, a high-sensitivity silver-based surface plasmon resonance biosensor by a coating of zinc oxide on silicon for detecting hybridization of DNA is reported numerically. By changing the surface plasmon resonance angle and the minimum reflectance, this proposed biosensor can examine the difference between matched and mismatched DNA strands, as well as the nucleotide bonding between double-stranded (dsDNA) helix structures, and recognize the hybridization of target DNAs by using probe DNA immobilized on zinc oxide in the proper orientation. Also, the methodology of this work can detect single nucleotide polymorphisms (SNP). Using the transfer matrix method, we investigated the performance parameters of the biosensor. We observed that our proposed sensor has a maximum sensitivity of 378.36 deg/RIU and a good quality factor of 71.183 RIU−1. As we can see, compared with other reported papers, our proposed biosensor shows much better performance. This paper uses the biocompatibility, the electrical properties, the chemical stability, and high affinity of both Si and ZnO in surface plasmon resonance biosensors for the hybridization of DNA. [ABSTRACT FROM AUTHOR]

High performance, laser-induced graphene (LIG) electrodes were integrated into adhesive tape-based microfluidic channels to realize both electrochemical (EC) and electrochemiluminescent (ECL) detection approaches. This provides strategies for low limits of detection, simple hardware requirements and inexpensive fabrication, which are characteristics required for assays in the competitive point-of-care (POC) sensor field. Here, electrode design and microchannel dimensions were studied and a DNA hybridization assay with liposomes for signal amplification was developed for the specific detection of DNA derived from Cryptosporidium parvum as the model analyte. Liposomes entrapped either Ru(bpy)32+ or K4[Fe(CN)6] generating ECL- and EC-signal amplification, respectively. This new microchip provided all desirable analytical figures of merit needed for POC applications. Specifically, a desirable one-step assay was designed which provided a limit of detection of 3 pmol L−1 for the ECL and 47 pmol L−1 for the EC approach and furthermore enabled highly specific detection considering that at room temperature in this simple setup a single nucleotide polymorphism resulted in a signal decrease of 58%, whereas a decrease of > 98% was observed for non-matching sequences present in 10-fold excess. Direct detection in various matrices ranging from drinking water to soil extracts was also achieved. It is concluded that the simple and inexpensive fabrication in combination with signal amplification strategies makes these concepts relevant for on-site pathogen detection in resource-limited environments. [ABSTRACT FROM AUTHOR]

The article discusses the impact of functional genomics on plant breeding. Functional genomics, with its advancements in genomics and omics technologies, has provided a deeper understanding of the molecular mechanisms governing plant traits and their responses to environmental conditions. This integration has allowed breeders to make informed decisions and develop improved crop varieties with enhanced characteristics. The intersection of functional genomics and plant breeding has also contributed to increased crop yields, sustainability, and resilience in the face of climate change. The article highlights several research papers that explore the intricacies of functional genomics and its relevance to enhancing plant breeding programs. These papers provide valuable insights into various aspects of plant growth, development, photosynthesis, genetic variations, and gene families, ultimately contributing to global food security and sustainability. [Extracted from the article]

Identification of quantitative trait loci (QTLs) and candidate genes that affect growth intensity is a prerequisite for the marker-assisted selection of economically important traits. The number of QTL studies on sheep is relatively small in comparison to those on cattle and pigs. The current QTL sheep database – Sheep QTLdb – contains information on 1658 QTLs for 225 different traits. A few genes and markers associated with growth, carcass and meat productivity traits have been reported. The information about QTLs from the Sheep QTLdb cannot be directly used in marker-assisted selection due to the lack of essential information such as effective and reference alleles, the effect direction etc., and it requires manual curation and validation. In this study we performed a comprehensive search for QTLs focusing on single nucleotide polymorphisms (SNPs) associated with growth and meat traits in sheep. The database contains information about 156 SNP–trait associations (123 unique SNPs) and a list of 165 associated genes. The updated information is freely available at https://github.com/Defrag1236/Ovines%5f2018 (last access: 18 September 2019). This information can be useful for further association studies and preliminary estimation of genetic variability for economically important traits in different breeds. [ABSTRACT FROM AUTHOR]

Background: Head and neck squamous cell carcinoma (HNSCC) is one of the most prevalent cancers worldwide. The identification of molecular alterations adding to the individual risk of HNSCC development and progression is one of the most important challenges in studies on cancer genetics. MicroRNAs (miRNAs), which belong to the group of important post-transcriptional regulators of human gene expression, seem to be valuable options for consideration as key modifiers of individual cancer risk, and therefore may be helpful in predicting inter-individual differences in cancer risk, response to treatment and prognosis. Methods: There have not been many studies focused on the relationship between miRNA variants and HNSCC published in PubMed within the last 15 years. We found and analyzed 30 reviews, meta-analyses and research papers and revealed 14 SNPs which have been reported as significant in the context of HNSCC susceptibility and/or prognosis. Results: These 14 SNPs were located in 13 separate miRNAs. Among them, four were the most frequently studied (miRNA-146, -196, -149 and -499) and have been shown to have the greatest impact on the course of HNSCC. However, the presented results have been conflicting. Conclusions: It must be concluded that, despite the years of studies, there are no conclusive reports demonstrating a significant role of SNPs in miRNAs in the context of the susceptibility to HNSCC or its prognosis. [ABSTRACT FROM AUTHOR]

The bidirectional effect of hyperuricemia on chronic kidney disease (CKD) underscores the importance of hyperuricemia as a risk factor for CKD. We evaluated the effect of hyperuricemia on the presence and development of CKD after considering genetic background by calculating polygenic risk scores (PRSs). We employed genome-wide association study summary statistics—excluding the United Kingdom Biobank (UKB) datasets among published CKD Gen Consortium papers—to calculate the PRSs for CKD in white background subjects. To validate PRS performance, we divided the UKB into two datasets to validate and test the data. We used logistic regression analysis to evaluate the association between hyperuricemia and CKD, and performed Kaplan–Meier survival analysis exclusively for subjects with available follow-up data. In total, 438,253 clinical data and 4,307,940 single nucleotide polymorphisms from 459,155 samples were included. We observed a significant positive association between PRS and CKD and the presence and development of CKD. Hyperuricemia significantly increased CKD risk (adjusted odds ratio 1.55, 95% confidence interval 1.48–1.61). The impact of hyperuricemia on CKD was maintained irrespective of PRS range. In addition, negative interaction between hyperuricemia and PRS for CKD was found. Survival analysis indicates that the presence of hyperuricemia significantly increased the risk of CKD development. The PRS for CKD thoroughly reflects the risk of CKD development. Hyperuricemia is a significant indicator of CKD risk, even after incorporating the genetic risk score for CKD. Irrespective of genetic risk, patients with a prospective risk of developing CKD require uric acid monitoring and management. [ABSTRACT FROM AUTHOR]

Simple Summary: Simple Summary: This article studies runs of homozygosity (ROHs) across the genome using high-density single-nucleotide polymorphism (SNP) arrays for the structural and functional annotation of genes localized inside or in close proximity to selected sections of the genome of Aberdeen Angus cattle. The obtained results could serve as a foundation for future studies aimed at identifying the genes and markers required to determine the most significant productive traits of cattle. The data confirm the effect of targeted selection on increasing the height, body size, and live weight in the population of Aberdeen Angus cattle. A large number of cattle breeds have marked phenotypic differences. They are valuable models for studying genome evolution. ROH analysis can facilitate the discovery of genomic regions that may explain phenotypic differences between breeds affecting traits of economic importance. This paper investigates genome-wide ROH of 189 Aberdeen Angus bulls using the Illumina Bovine GGP HD Beadchip150K to structurally and functionally annotate genes located within or in close ROH of the Aberdeen Angus cattle genome. The method of sequential SNP detection was used to determine the ROH. Based on this parameter, two ROH classes were allocated. The total length of all ROH islands was 11,493 Mb. As a result of studying the genomic architecture of the experimental population of Aberdeen Angus bulls, nine ROH islands and 255 SNPs were identified. Thirteen of these overlapped with regions bearing 'selection imprints' previously identified in other breeds of cattle, and five of these regions were identified in other Aberdeen Angus populations. The total length of the ROH islands was 11,493 Mb. The size of individual islands ranged from 0.038 to 1.812 Mb. Structural annotation showed the presence of 87 genes within the identified ROH islets. [ABSTRACT FROM AUTHOR]

Background: Managing genetic diversity is critically important for maintaining species fitness. Excessive homozygosity caused by the loss of genetic diversity can have detrimental effects on the reproduction and production performance of a breed. Analysis of genetic diversity can facilitate the identification of signatures of selection which may contribute to the specific characteristics regarding the health, production and physical appearance of a breed or population. In this study, breeds with well-characterized traits such as fine wool production (Rambouillet, N = 745), parasite resistance (Katahdin, N = 581) and environmental hardiness (Dorper, N = 265) were evaluated for inbreeding, effective population size (Ne), runs of homozygosity (ROH) and Wright's fixation index (FST) outlier approach to identify differential signatures of selection at 36,113 autosomal single nucleotide polymorphisms (SNPs). Results: Katahdin sheep had the largest current Ne at the most recent generation estimated with both the GONe and NeEstimator software. The most highly conserved ROH Island was identified in Rambouillet with a signature of selection on chromosome 6 containing 202 SNPs called in an ROH in 50 to 94% of the individuals. This region contained the DCAF16, LCORL and NCAPG genes that have been previously reported to be under selection and have biological roles related to milk production and growth traits. The outlier regions identified through the FST comparisons of Katahdin with Rambouillet and Dorper contained genes with known roles in milk production and mastitis resistance or susceptibility, and the FST comparisons of Rambouillet with Katahdin and Dorper identified genes related to wool growth, suggesting these traits have been under natural or artificial selection pressure in these populations. Genes involved in the cytokine-cytokine receptor interaction pathways were identified in all FST breed comparisons, which indicates the presence of allelic diversity between these breeds in genomic regions controlling cytokine signaling mechanisms. Conclusions: In this paper, we describe signatures of selection within diverse and economically important U.S. sheep breeds. The genes contained within these signatures are proposed for further study to understand their relevance to biological traits and improve understanding of breed diversity. [ABSTRACT FROM AUTHOR]

Motivation: Alignment of reads to a reference genome sequence is one of the key steps in the analysis of human whole-genome sequencing data obtained through Next-generation sequencing (NGS) technologies. The quality of the subsequent steps of the analysis, such as the results of clinical interpretation of genetic variants or the results of a genome-wide association study, depends on the correct identification of the position of the read as a result of its alignment. The amount of human NGS whole-genome sequencing data is constantly growing. There are a number of human genome sequencing projects worldwide that have resulted in the creation of large-scale databases of genetic variants of sequenced human genomes. Such information about known genetic variants can be used to improve the quality of alignment at the read alignment stage when analysing sequencing data obtained for a new individual, for example, by creating a genomic graph. While existing methods for aligning reads to a linear reference genome have high alignment speed, methods for aligning reads to a genomic graph have greater accuracy in variable regions of the genome. The development of a read alignment method that takes into account known genetic variants in the linear reference sequence index allows combining the advantages of both sets of methods. Results: In this paper, we present the minimap2_index_modifier tool, which enables the construction of a modified index of a reference genome using known single nucleotide variants and insertions/deletions (indels) specific to a given human population. The use of the modified minimap2 index improves variant calling quality without modifying the bioinformatics pipeline and without significant additional computational overhead. Using the PrecisionFDA Truth Challenge V2 benchmark data (for HG002 short-read data aligned to the GRCh38 linear reference (GCA_000001405.15) with parameters k = 27 and w = 14) it was demonstrated that the number of false negative genetic variants decreased by more than 9500, and the number of false positives decreased by more than 7000 when modifying the index with genetic variants from the Human Pangenome Reference Consortium. [ABSTRACT FROM AUTHOR]

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Background: Natural cases of prion disease have not been reported in rabbits, and prior attempts to identify a prion conversion agent have been unsuccessful. However, recent applications of prion seed amplifying experimental techniques have sparked renewed interest in the potential susceptibility of rabbits to prion disease infections. Among several factors related to prion disease, polymorphisms within the prion-like protein gene (PRND), a member of the prion protein family, have been reported as significantly associated with disease susceptibility in various species. Therefore, our study aimed to investigate polymorphisms in the PRND gene of rabbits and analyze their genetic characteristics. Methods: Genomic DNA was extracted from 207 rabbit samples to investigate leporine PRND polymorphisms. Subsequently, amplicon sequencing targeting the coding region of the leporine PRND gene was conducted. Additionally, linkage disequilibrium (LD) analysis was employed to assess the connection within and between loci. The impact of non-synonymous single nucleotide polymorphisms (SNPs) on the Doppel protein was evaluated using PolyPhen-2. Results: We found nine novel SNPs in the leporine PRND gene: c.18A  >  G, c.76G  >  C, c.128C  >  T, c.146C  >  T, c.315A  >  G, c.488G  >  A, c.525G  >  C, c.544G  >  A, and c.579A  >  G. Notably, seven of these PRND SNPs, excluding c.525G  >  C and c.579A  >  G, exhibited strong LD values exceeding 0.3. In addition, LD analysis confirmed a robust link between PRNP SNP c.234C  >  T and PRND SNPs at c.525G  >  C and c.579A  >  G. Furthermore, according to PolyPhen-2 and SIFT analyses, the four non-synonymous SNPs were predicted to have deleterious effects on the function or structure of the Doppel protein. However, PANTHER and Missense3D did not indicate such effects. Conclusion: In this paper, we have identified novel SNPs in the rabbit PRND gene and predicted their potential detrimental effects on protein function or structure through four non-synonymous SNPs. Additionally, we observed a genetic linkage between SNPs in the PRND and PRNP genes. These findings may provide insights into understanding the characteristics of rabbits as partially resistant species. To the best of our knowledge, this study is the first to genetically characterize PRND SNPs in rabbits. [ABSTRACT FROM AUTHOR]

Objectives: We performed a systematic review on single‐nucleotide polymorphisms and risk‐related chronic rhinosinusitis. Design and Setting: A comprehensive review of the last 20 years' English language literature regarding chronic rhinosinusitis and single‐nucleotide polymorphisms was performed. We included in the synthesis all the papers reporting gene variation implicated in the pathogenesis of chronic inflammation and polyps. Results: We found 12 papers with 9127 patients, of which 2739 CRS cases and 6388 controls. The major comorbidities reported related to chronic rhinosinusitis were atopy in 4555 (49.9%), asthma in 4594 (50.33%), Samter Triad in 448 (4.9%) and eosinophilia in 391 subjects (4.28%). Conclusion: Our systematic review revealed the major SNPs significantly associated with chronic rhinosinusitis and the specific pathways involved. Given the presence of different extraction methods and samples sequencing, further studies with larger courts are necessary to identify significative single‐nucleotide polymorphisms. [ABSTRACT FROM AUTHOR]