Single Nucleotide Polymorphisms Research Articles

Temporally resolved growth patterns reveal novel information about the polygenic nature of complex quantitative traits.

Plant height can be an indicator of plant health across environments and used to identify superior genotypes. Typically plant height is measured at a single timepoint when plants reach terminal height. Evaluating plant height using unoccupied aerial vehicles allows for measurements throughout the growing season, facilitating a better understanding of plant-environment interactions and the genetic basis of this complex trait. To assess variation throughout development, plant height data was collected from planting until terminal height at anthesis (14 flights 2018, 27 in 2019, 12 in 2020, and 11 in 2021) for a panel of ~500 diverse maize inbred lines. The percent variance explained in plant height throughout the season was significantly explained by genotype (9-48%), year (4-52%), and genotype-by-year interactions (14-36%) to varying extents throughout development. Genome-wide association studies revealed 717 significant single nucleotide polymorphisms associated with plant height and growth rate at different parts of the growing season specific to certain phases of vegetative growth. When plant height growth curves were compared to growth curves estimated from canopy cover, greater Fréchet distance stability was observed in plant height growth curves than for canopy cover. This indicated canopy cover may be more useful for understanding environmental modulation of overall plant growth and plant height better for understanding genotypic modulation of overall plant growth. This study demonstrated that substantial information can be gained from high temporal resolution data to understand how plants differentially interact with the environment and can enhance our understanding of the genetic basis of complex polygenic traits.

Genome Sequencing Identifies 13 Novel Candidate Risk Genes for Autism Spectrum Disorder in a Qatari Cohort

Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by deficits in social communication, restricted interests, and repetitive behaviors. Despite considerable research efforts, the genetic complexity of ASD remains poorly understood, complicating diagnosis and treatment, especially in the Arab population, with its genetic diversity linked to migration, tribal structures, and high consanguinity. To address the scarcity of ASD genetic data in the Middle East, we conducted genome sequencing (GS) on 50 ASD subjects and their unaffected parents. Our analysis revealed 37 single-nucleotide variants from 36 candidate genes and over 200 CGG repeats in the FMR1 gene in one subject. The identified variants were classified as uncertain, likely pathogenic, or pathogenic based on in-silico algorithms and ACMG criteria. Notably, 52% of the identified variants were homozygous, indicating a recessive genetic architecture to ASD in this population. This finding underscores the significant impact of high consanguinity within the Qatari population, which could be utilized in genetic counseling/screening program in Qatar. We also discovered single nucleotide variants in 13 novel genes not previously associated with ASD: ARSF, BAHD1, CHST7, CUL2, FRMPD3, KCNC4, LFNG, RGS4, RNF133, SCRN2, SLC12A8, USP24, and ZNF746. Our investigation categorized the candidate genes into seven groups, highlighting their roles in cognitive development, including the ubiquitin pathway, transcription factors, solute carriers, kinases, glutamate receptors, chromatin remodelers, and ion channels.

Genotyping single nucleotide polymorphisms in homologous regions using multiplex kb level amplicon capture sequencing.

Single nucleotide polymorphisms (SNPs) in homologous regions play a critical role in the field of genetics. However, genotyping these SNPs is challenging due to the presence of repetitive sequences within genome, which demand specific method. We introduce a new, mid-throughput method that simplifies SNP genotyping in homologous DNA sequences by utilizing a combination of multiplex kb level PCR (PCR size 2.5k-3.5kb) for capturing targeted regions and multiplex nested PCR library construction for next-generation sequencing (Multi-kb level capture-seq). First of all, we randomly selected 7 SNPs in homologous regions and successfully captured 6-plex kb level amplicons (one of segments contains 2 SNPs, while the remaining segments each have only one SNP) in a single tube. And then, the amplification products were subjected to multiplex nested PCR for library construction and sequenced on Illumina platform. We tested this strategy using 600 amplicons from 100 samples and accurately genotyped 96.8% of target SNPs with a coverage depth of ≥ 15×. For the uniformity within the samples, over 66.7% (4/6) of the amplicons had a coverage depth above 0.2-fold of average sequencing depth. To validate the accuracy of this approach, we performed Ligase detection reaction PCR for genotyping the 100 samples, and found that the genotyping data was 97.71% consistent with our NGS results. In conclusion, we have developed a highly efficient and accurate method for SNP genotyping in homologous regions, which offers researchers a new strategy to explore the complex regions of genome.

Identification of quantitative trait locus and positional candidate loci influencing chicken egg quality under tropical conditions.

Egg quality is a vital factor in the poultry industry. High-quality eggs not only meet consumer expectations for appearance, taste, and nutritional value but also have high marketability, profitability, and consumer satisfaction. Accordingly, we executed our research with the purpose of determining chromosomal regions and genetic markers associated with egg quality in an F2 cross-bred chicken population under tropical conditions; we determined these through a genome-wide association study and quantitative trait locus (QTL) mapping. This population was created by cross-breeding the L2 line of Taiwan Country chickens, which is adapted to local conditions in Taiwan, with an experimental line (R-line) of Rhode Island Red layer chickens, which was developed by the French National Research Institute for Agriculture, Food and the Environment. A 60K single nucleotide polymorphism (SNP) genotyping array for chickens was employed to execute the analysis. Our analysis revealed 40 QTLs associated with egg quality under tropical conditions, namely 20 QTLs with genome-wide statistical significance and 20 QTLs with chromosome-wide statistical significance. Furthermore, we identified 93 SNPs exerting discernible effects on egg quality, with 10 of these effects exhibiting genome-wide significance and 83 exhibiting potential significance. The majority of the detected QTL regions and SNPs agreed with those identified as having an association with egg quality or production traits in previous studies, thus supporting the interrelationships determined between the studied characteristics. The findings of this study enhance the understanding regarding the genetic regulation governing chicken egg quality, thereby serving as a valuable reference for future functional investigations.

Sympatric diversity pattern driven by the secondary contact of two deeply divergent lineages of the soybean pod borer Leguminivora glycinivorella.

The soybean pod borer, Leguminivora glycinivorella (Matsumura), is an important tortricid pest species widely distributed in most parts of China and its adjacent regions. Here, we analyzed the genetic diversity and population differentiation of L. glycinivorella using diverse genetic information including the standard cox1 barcode sequences, mitochondrial genomes (mitogenomes), and single-nucleotide polymorphisms (SNPs) from genotyping-by-sequencing. Based on a comprehensive sampling (including adults or larvae of L. glycinivorella newly collected at 22 of the total 30 localities examined) that covers most of the known distribution range of this pest, analyses of 543 cox1 barcode sequences and 60 mitogenomes revealed that the traditionally recognized and widely distributed L. glycinivorella contains two sympatric and widely distributed genetic lineages (A and B) that were estimated to have diverged ∼1.14 million years ago during the middle Pleistocene. Moreover, low but statistically significant correlations were recognized between genetic differentiation and geographic or environmental distances, indicating the existence of local adaptation to some extent. Based on SNPs, phylogenetic inference, principal component analysis, fixation index, and admixture analysis all confirm the two divergent sympatric lineages. Compared with the stable demographic history of Lineage B, the expansion of Lineage A had possibly made the secondary contact of the two lineages probable, and this process may be driven by the climate fluctuation during the late Pleistocene as revealed by ecological niche modeling.

In silico identification and characterisation of pathogenic genetic variants (nsSNPs) in the eukaryotic initiation factors eIF2 and eIF2B affecting miRNA binding sites

BackgroundThe eukaryotic translation initiation factors (eIF2 and eIF2B) are known to play a regulatory role in translation initiation. Studies have indicated that several missense mutations in both eIF2 and eIF2B subunits can lead to severe neurological diseases and cancer. In the current study, we have attempted to identify and characterise the single-nucleotide polymorphisms (SNPs) in the said subunits and their correlation with various diseases.ResultsInterestingly, we could identify SNPs only in 3′ untranslated regions (3′UTR) from EIF2 (EIF2S1 and S3) and EIF2B (EIF2B1, B2 and B5 subunits). Of which, two SNPs, one in each EIF2B1 (rs1050448) and EIF2B2 (rs4556), are observed to be affecting miRNA binding sites. The gene ontology (GO) analysis of identified miRNAs indicates their association with central nervous system development, various stress responses, growth factors, and immune system signalling pathways. Furthermore, molecular docking studies also confirm that the identified miRNAs have an excellent binding ability with corresponding wild-type/mutant dsDNA and mRNA with HADDOCK binding scores in the range of − 38.78 to − 3.99 kcal/mol and − 86.47 to − 23.78 kcal/mol, respectively.ConclusionWe conclude that the identified miRNAs may play a regulatory role in the symptomatic progression of neurological disorders and cancer and the same is validated by existing experimental evidences. Overall, the identified miRNAs serve as potential candidates for carrying out clinical investigations.Graphical abstract

Novel risk loci in LGI1-antibody encephalitis: genome-wide association study discovery and validation cohorts.

Encephalitis with antibodies to leucine-rich glioma-inactivated 1 (LGI1-Ab-E) is a common form of autoimmune encephalitis, presenting with seizures and neuropsychiatric changes, predominantly in older males. More than 90% of patients carry the human leucocyte antigen (HLA) class II allele, HLA-DRB1*07:01. However, this is also present in 25% of healthy controls. Therefore, we hypothesised the presence of additional genetic predispositions. In this genome-wide association study and meta-analysis, we studied a discovery cohort of 131 French LGI1-Ab-E and a validation cohort of 126 American, British and Irish LGI1-Ab-E patients, ancestry-matched to 2613 and 2538 European controls, respectively. Outside the known major HLA signal, we found two single nucleotide polymorphisms (SNPs) at genome-wide significance (p < 5 x 10-8), implicating PTPRD, a protein tyrosine phosphatase, and LINC00670, a non-protein coding RNA gene. Meta-analysis defined four additional non-HLA loci, including the protein coding COBL gene. Polygenic risk scores with and without HLA variants proposed a contribution of non-HLA loci. In silico network analyses suggested LGI1 and PTPRD mediated interactions via the established receptors of LGI1, ADAM22 and ADAM23. Our results identify new genetic loci in LGI1-Ab-E. These findings present opportunities for mechanistic studies and offer potential markers of susceptibility, prognostics and therapeutic responses.

A case of rapidly progressive hair loss due to azathioprine, and the prevalence of NUDT15 variants among Japanese patients with autoimmune blistering diseases: A single-center retrospective observational study.

Autoimmune blistering diseases (AIBDs), classified into pemphigus and pemphigoid, consist of relatively rare skin disorders caused by autoantibodies that target desmosomal and hemidesmosomal proteins, respectively. Although systemic corticosteroids are used as a first-line treatment for AIBDs, azathioprine is frequently co-administered as a steroid-sparing agent. Azathioprine is metabolized into thioguanine nucleotides (TGNs) which are its major active metabolites. The enzyme nudix hydrolase 15 (NUDT15) plays a key role in regulating TGNs. Serious side effects of azathioprine, including leukopenia and alopecia, are known to be particularly problematic in individuals with NUDT15 variants. The single-nucleotide polymorphism c.415C >T (p.Arg139Cys) is one of the most frequent NUDT15 variants associated with severe thiopurine toxicity. Recently, we treated a case of pemphigus vulgaris in a patient with NUDT15 variants in which the patient developed rapidly progressive diffuse hair loss and myelosuppression while receiving azathioprine. Previous reports on NUDT15 polymorphisms mainly focused on patients with inflammatory bowel disease or hematological malignancies, and the prevalence of NUDT15 polymorphisms remains unknown in AIBDs. This highlights the urgent need for research on NUDT15 polymorphisms in AIBDs to achieve a better understanding of the genetic factors influencing adverse reactions to azathioprine. To clarify the prevalence of NUDT15 variants in Japanese patients with AIBDs, we retrospectively reviewed the medical records of 78 patients with AIBDs (26 with bullous pemphigoid, 26 with pemphigus vulgaris, 17 with pemphigus foliaceus, and nine with other AIBDs) who had come to Hokkaido University Hospital between 2018 and 2023. The frequencies of NUDT15 variants of Arg/Arg, Arg/Cys, and Cys/Cys in these patients were approximately 72%, 23%, and 5%, respectively. Our findings indicate a prevalence of NUDT15 variants in AIBD patients that is similar to the prevalences of previous studies on patients with other diseases. These results emphasize the importance of screening for NUDT15 variants prior to initiating azathioprine treatment in Japanese patients with AIBDs.

Genetic and Epidemiological Insights into RAB32-Linked Parkinson's Disease.

The p.Ser71Arg RAB32 variant was recently associated with Parkinson's disease (PD). The aim was to investigate the presence of RAB32 variants in a large multiethnic group of individuals affected and unaffected by PD. We queried our proprietary database that contains exome/genome sequencing data of >180,000 individuals. Additional PD patients were genotyped, and proximal p.Ser71Arg-associated haplotypes were constructed. p.Ser71Arg was present in 11 PD patients (73% from northern Italy) and in 35 individuals (89% from the Middle East and North Africa [MENA]) aged <50 years without PD-relevant symptoms. It was found in-cis to a set of proximal single-nucleotide polymorphisms. Additional RAB32 variants were comparably frequent in PD and non-PD individuals. The RAB32 p.Ser71Arg variant defines a cluster of PD patients in northern Italy. Globally, it is most prevalent in MENA. Our data indicate that p.Ser71Arg causes PD and that it occurred only once, through a founder event. Other RAB32 variants are unlikely to cause PD. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Genetic Diversity in the Orenburg Goat Breed Revealed by Single-Nucleotide Polymorphism (SNP) Analysis: Initial Steps in Saving a Threatened Population

Background/Objectives: Orenburg goats are renowned for their soft down that acts as a substrate for warm clothing, particularly shawls that have an international reputation. As with many local livestock breeds, however, the Orenburg is presently at risk of extinction, an issue that can be addressed by assessing population genetic diversity and, thereafter, encouraging as much outbreeding as possible. Using single-nucleotide polymorphism (SNP)-based data, therefore, we analyzed the genetic diversity and population structure of modern Orenburg goats using samples collected from an expedition to Orenburg Oblast in 2024. Methods: We applied the Goat SNP50 BeadChip (Illumina, San Diego, CA, USA) for the genotyping of Orenburg goats from modern and archived populations. SNP genotypes of three Orenburg populations sampled in 2017 and 2019, Altai Mountain, Altai White, and Soviet Mohair breeds, were added to the dataset. Results: Principal component analysis and network and admixture analyses demonstrated that the genetic background inherent to the archived group of Orenburg goats was maintained in all modern populations. Values of genetic diversity indicators in modern populations were compatible with those obtained in comparison groups. Runs of homozygosity (ROH) were found in all the Orenburg goat populations (with a mean ROH length of 72.6–108.9 Mb and mean ROH number of 28–36). Genomic inbreeding based on ROH was low in all the Orenburg populations (FROH = 0.03–0.045). Conclusions: We showed that the ancestral background is retained in present-day Orenburg goats sampled in 2024. We provide the genetic basis through which certain breeder animals may be selected and bred traditionally or ex situ through a conservation program of gamete preservation.

TP53 Codon 72 Polymorphism Impacts Macrophage Activation through Reactive Oxygen Species-Dependent Cell Signaling Alterations.

The role of the most common TP53 single-nucleotide polymorphism (SNP) at codon 72, which encodes for proline (P72) or arginine (R72), in the regulation of the immune system has not yet been thoroughly explored. We found that this SNP contributes to aggravated inflammatory response in COVID-19 patients resulting from biased macrophage activation. R72-P53 inhibits mitochondrial manganese superoxide dismutase, leading to impaired reactive oxygen species scavenging, oxidation of phosphatase and tensin homolog deleted on chromosome 10 (PTEN), and, consequently, its inhibition. Reduced PTEN activity causes constitutive activation of the PI3K/Akt pathway, which restricts proinflammatory (M1) and promotes anti-inflammatory (M2) phenotypes through NF-κB and p53 inhibition. In contrast, PTEN-reduced PI3K/Akt activity, in P72 carrying cells, favors M1 phenotypes. LPS-stimulated R72 macrophages fail to reduce tumor growth in a mouse model of cancer, in contrast with P72 macrophages, which preserve M1 phenotype invivo and reduce tumor growth by enhancing antitumor T cell responses, consistent with antitumor functions of M1 macrophages. In addition, P72 macrophages contributed to increased mortality in a mouse model of LPS-induced endotoxemia. Therefore, given the high frequency of P72 in African Americans, cell signaling alterations driven by codon 72 of TP53 SNP may potentially contribute to differences in clinical outcomes and health disparities in common diseases associated with dysregulated macrophage activation.

Newborn Genomic Sequencing Needs Confirmation but Not Repeating

Newborn screening (NBS) has been one of the big innovations in public health. It has grown over the decades, especially with the introduction of tandem mass spectrometry. However, it is likely to expand significantly in the coming decades with the introduction of genomic testing. Traditionally, in NBS, there has been a pattern of repeat testing for confirmation and follow-up diagnostic testing. This follow-up is critical as NBS is a screening program. This pathway is appropriate for low-cost tests, but if public health authorities are going to invest in high-cost screening such as whole-genome sequencing, they are likely to baulk at repeating these expensive tests in a diagnostic setting. Our study investigates whether screening-grade data from NBS can be transitioned into diagnostic-grade data using a panel of single-nucleotide variants (SNVs) on a diagnostic specimen. These SNVs could be used to link the diagnostic specimen with all of the provenance requirements associated with routine pathology and the NBS genomic data. This strategy has large cost benefits and opens up the rapid use of NBS genomic data should a child present in an acute care setting and a genetic diagnosis is suspected. This approach will greatly speed up the confirmation of positive NBS results and reduce family anxiety due to delayed diagnostic testing.

Single Nucleotide Recognition and Mutation Site Sequencing Based on a Barcode Assay and Rolling Circle Amplification

Single nucleotide polymorphisms (SNPs) present significant challenges in microbial detection and treatment, further raising the demands on sequencing technologies. In response to these challenges, we have developed a novel barcode-based approach for highly sensitive single nucleotide recognition. This method leverages a dual-head folded complementary template probe in conjunction with DNA ligase to specifically identify the target base. Upon recognition, the system triggers rolling circle amplification (RCA) followed by the self-assembly of CdSe quantum dots onto polystyrene microspheres, enabling a single-particle fluorescence readout. This approach allows for precise base identification at individual loci, which are then analyzed using a bio-barcode array to screen for base changes across multiple sites. This method was applied to sequence a drug-resistant mutation site in Helicobacter pylori (H. pylori), demonstrating excellent accuracy and stability. Offering high precision, high sensitivity, and single nucleotide resolution, this approach shows great promise as a next-generation sequencing method.

The causal relationship between immune cell-mediated gut microbiota and ulcerative colitis: a bidirectional two-sample, mediation Mendelian randomization analysis

BackgroundNumerous studies have highlighted the close association between gut microbiota and the development of ulcerative colitis (UC), yet research on whether immune cells mediate this process remains scarce. This study utilizes various Mendelian randomization (MR) methods to investigate the causal relationship between gut microbiota and UC, further exploring the mediating role of immune cells in this process.MethodsGenome-wide association study (GWAS) summary statistics for 473 gut microbiota, 731 immune cell phenotypes, and UC were obtained from the GWAS catalog database. Single nucleotide polymorphisms (SNP) were used as instrumental variables (IV) to validate the causal relationship between gut microbiota and UC through two-sample MR and Bayesian weighted MR (BWMR), and reverse MR was employed to explore the presence of reverse causal effects. Two-step MR was applied to identify immune cell mediators and evaluate their mediation effects.ResultsThe study revealed a causal relationship between 20 gut microbiota and UC, with 14 microbiota acting as protective factors for UC and 6 as risk factors. Mediation MR identified 26 immune cell mediators, among which the association between CD11b on Mo MDSC and Bifidobacterium bifidum (B. bifidum) was most significant (p = 0.0017, OR = 1.4540, 95% CI: 1.1504–1.8378). Mediation MR analysis indicated that the mediation effect of CD11b on Mo MDSC between B. bifidum and UC was −0.0385, with a mediation effect ratio of 16.67%.ConclusionThere is a clear causal relationship between certain gut microbiota and UC, and CD11b on Mo MDSC is a significant mediator between B. bifidum and UC, providing new insights for the clinical treatment of UC.

Genetic Diversity and Population Structure Analysis of Soybean [Glycine max (L.) Merrill] Genotypes Using Agro-Morphological Traits and SNP Markers

Background/Objectives: Understanding the genetic diversity of soybean genotypes can provide valuable information that guides parental selection and the design of an effective hybridization strategy in a soybean breeding program. In order to identify genetically diverse, complementary, and prospective parental lines for breeding, this study set out to ascertain the genetic diversity, relationships, and population structure among 35 soybean genotypes based on agro-morphological traits and Single Nucleotide Polymorphic (SNP) marker data. Methods/Results: Cluster analysis, based on agro-morphological traits, grouped the studied genotypes into four clusters. The first two principal components accounted for 62.8% of the total phenotypic variation, where days to 50% flowering, days to 95% maturity, grain yield, shattering score, and lodging score had high and positive contributions to the total variation. Using the SNP marker information, mean values of 0.16, 0.19, 0.067, and 0.227 were obtained for minor allele frequency (MAF), polymorphic information content (PIC), observed heterozygosity (Ho), and expected heterozygosity (He), respectively. Using different clustering approaches (admixture population structure, principal component scatter plot, and hierarchical clustering), the studied genotypes were grouped into four major clusters. Conclusions:The agro-morphological and molecular analysis results indicated the existence of moderate genetic diversity among the studied genotypes. The traits identified to be significantly related to yield provide valuable information for the genetic improvement of soybeans for yield.

Cysteine cathepsins and autoimmune diseases: A bidirectional Mendelian randomization.

Cysteine cathepsins are proteolytic enzymes crucial in various physiological and pathological processes, primarily operating within lysosomes. Their functions include protein degradation, immune system regulation, and involvement in various diseases. While some cysteine cathepsins play important roles in the immune system, their connection to autoimmune diseases remains unclear. This study proposes using Mendelian randomization to explore the causal relationship between cysteine cathepsins and autoimmune diseases. Single nucleotide polymorphisms (SNPs) for cysteine cathepsins were obtained from a publicly available genome-wide association study (GWAS) dataset, while outcome SNP data were sourced from 10 separate GWAS datasets. Mendelian randomization (MR) analysis employed the Wald ratio (WR) and inverse variance weighted (IVW) approach as primary methods, supplemented by the weighted median and MR-Egger methods. Heterogeneity was assessed using Cochran Q test, and sensitivity analysis was conducted using the MR-PRESSO method. The association strength between exposure and outcome was evaluated using odds ratios (OR) with 95% confidence intervals (CI). The study identified a potential positive correlation between elevated cathepsin B and psoriasis (Wald ratio OR = 1.449, 95% CI: 1.053-1.993, P = .0227). Elevated cathepsin F was potentially linked to ulcerative colitis (WR OR = 1.073, 95% CI: 1.021-1.127, P = .0056), ankylosing spondylitis (WR OR = 1.258, 95% CI: 1.082-1.463, P = .0029), and primary biliary cholangitis(PBC) (WR OR = 1.958, 95% CI: 1.326-2.889, P = .0007). Conversely, cathepsin H appeared protective against celiac disease (WR OR = 0.881, 95% CI: 0.838-0.926, P = 6.5e-7), though elevated levels may increase the risk of type 1 diabetes (IVW OR = 1.121, 95% CI: 1.053-1.194, P = .0003) and PBC (WR OR = 1.792, 95% CI: 1.062-3.024, P = .0288). Cathepsin Z was also associated with an increased risk of type 1 diabetes (IVW OR = 1.090, 95% CI: 1.006-1.181, P = .0349). The MR analysis suggests potential risks of cathepsin B with psoriasis, cathepsin F with ulcerative colitis, ankylosing spondylitis, and PBC, and cathepsin Z with type 1 diabetes. Conversely, cathepsin H may protect against celiac disease but could increase the risk of type 1 diabetes and PBC.

Gene polymorphisms of miR-323b and miR-1343 that regulate kininogen L are associated with schizophrenia susceptibility: A preliminary population‑based study.

miR-SNP is a type of functional single nucleotide polymorphism (SNP) that affects the regulatory functions of miRNA genes, miRNA binding sites, or components of miRNA biogenesis. This study aimed to explore the relationship between miRNA gene polymorphisms that regulate the kininogen L protein and schizophrenia (SCZ). Bioinformatics methods predicted miRNA gene polymorphism sites regulating the kininogen L protein. The polymorphisms of rs56103835, rs6513496, rs651349, and rs2986407 were detected using imLDR multiple SNP typing technologies in 513 SCZ patients and 509 controls. The association of miR-SNP variations with SCZ susceptibility and symptoms was evaluated using SNPstat to determine the optimal inheritance model. Generalized multifactor dimensionality reduction (GMDR) analysis and logistic regression were used to calculate miR-SNP interactions. The association between hsa-miR-323b-rs56103835 and SCZ was statistically significant under the dominant model. The result of gene-gene interaction showed that the three-factor model (rs56103835 / rs2986407 / rs2155248) was the best, but it could not be considered significantly related to SCZ. Additionally, SCZ patients with the CC or CT genotype on rs2986407 were more likely to experience auditory hallucinations than those with the TT genotype. Our data revealed that the mutation of hsa-miR-323b-rs56103835 from C to T was associated with susceptibility to SCZ. The mutation of hsa-miR-1343-rs2986407 from T to C increases the risk of auditory hallucinations in SCZ patients.

Association of diuretics with falls and wrist fractures: a Mendelian randomization study

BackgroundThe association between diuretics and falls in older adult has been reported in previous studies, but discrepancy remains between the different types of diuretics. The association of diuretics with the risk of wrist fractures due to diuretics is also unclear. Therefore, in this study, we determined the association of diuretics with falls and wrist fractures by Mendelian randomization.MethodsWe used a two-sample Mendelian randomization (MR) approach to evaluate the effects of the loop diuretics\potassium-sparing diuretics\thiazide diuretics (LDs\PSDs\TDs) on the risk of falls and wrist fracture using the three diuretic-associated genetically-predicted single nucleotide polymorphisms (SNPs) as genetic tools. The inverse variance weighting (IVW) method was used as the main evaluation method, with odds ratio (OR) as the evaluation criterion. Additionally, weighted median (WME), MR-Egger, weighted mode (WM) and simple mode (SM) methods were used together for the MR analysis, and sensitivity analyses were performed to assess the robustness of the main results.ResultA total of 35 SNPs were included in this study as instrumental variables to replace LDs, PSDs, and TDs, which were 24, 7, and 4. Genetic substitutions for diuretics associated with increased risk of falls were LDs (OR = 1.012043, 95%CI: 1.001607–1.022588, p = 0.022337), PSDs (OR = 1.023794, 95%CI: 1.005605–1.042312, p = 0.010138). Genetically proxied TDs showed no association with falls, but the use of TDs showed a negative correlation with the incidence of wrist fracture (OR = 0.833, 95%CI: 0.767–0.905, p &amp;lt; 0.001). The Cochran Q-test showed no heterogeneity and MR-PRESSO method excluded data pleiotropy.ConclusionOur findings suggest that the use of loop diuretics (LDs) or potassium-sparing diuretics (PSDs) increases the incidence of falls, but there is no causal relationship between thiazide diuretics (TDs) and falls, and TDs may actually reduce the risk of wrist fractures. Clinical use of diuretics necessitates vigilance and appropriate preventive measures to minimize fall-related events.

Comprehensive genome analysis and variant detection at scale using DRAGEN.

Research and medical genomics require comprehensive, scalable methods for the discovery of novel disease targets, evolutionary drivers and genetic markers with clinical significance. This necessitates a framework to identify all types of variants independent of their size or location. Here we present DRAGEN, which uses multigenome mapping with pangenome references, hardware acceleration and machine learning-based variant detection to provide insights into individual genomes, with ~30 min of computation time from raw reads to variant detection. DRAGEN outperforms current state-of-the-art methods in speed and accuracy across all variant types (single-nucleotide variations, insertions or deletions, short tandem repeats, structural variations and copy number variations) and incorporates specialized methods for analysis of medically relevant genes. We demonstrate the performance of DRAGEN across 3,202 whole-genome sequencing datasets by generating fully genotyped multisample variant call format files and demonstrate its scalability, accuracy and innovation to further advance the integration of comprehensive genomics. Overall, DRAGEN marks a major milestone in sequencing data analysis and will provide insights across various diseases, including Mendelian and rare diseases, with a highly comprehensive and scalable platform.

Mapping and cloning of pepper fruit color-related genes based on BSA-seq technology

Fruit color is an important qualitative trait that greatly influences the marketability of peppers. Fruit color can be divided into two categories. Green fruit color denotes commercial maturity, whereas ripe fruit indicates physiological maturity. Herein, segregation populations were created using the ‘D24’ with pale green in the green fruit stage, orange in the mature fruit stage, and ‘D47’ with green in the green fruit stage and red in the mature fruit stage. BSA-seq and genetic linkage map analysis revealed green fruit color was linked to (gyqtl1.1) on Chr1 and (gyqtl10.1) on Chr10, while mature fruit color was linked to Chr6. Using functional annotation, sequence, and expression analysis, we speculate that an SNP mutation in the CapGLK2 gene at the gyqtl10.1 interval could initiate premature termination of translation, thus yielding green to pale green fruits in D47. Conversely, the orange color in mature D24 fruits is due to the Indel-mediated premature termination of translation of the CapCCS gene. Our research offers a theoretical foundation for choosing different varieties of pepper fruit based on their color.