Search

Pod quality and yield traits in snap bean (Phaseolus vulgaris L.) influence consumer preferences, crop adoption by farmers, and the ability of the product to be commercially competitive locally and globally. The objective of the study was to identify the quantitative trait loci (QTL) for pod quality and yield traits in a snap × dry bean recombinant inbred line (RIL) population. A total of 184 F6 RILs derived from a cross between Vanilla (snap bean) and MCM5001 (dry bean) were grown in three field sites in Kenya and one greenhouse environment in Davis, CA, USA. They were genotyped at 5,951 single nucleotide polymorphisms (SNPs), and composite interval mapping was conducted to identify QTL for 16 pod quality and yield traits, including pod wall fiber, pod string, pod size, and harvest metrics. A combined total of 44 QTL were identified in field and greenhouse trials. The QTL for pod quality were identified on chromosomes Pv01, Pv02, Pv03, Pv04, Pv06, and Pv07, and for pod yield were identified on Pv08. Co-localization of QTL was observed for pod quality and yield traits. Some identified QTL overlapped with previously mapped QTL for pod quality and yield traits, with several others identified as novel. The identified QTL can be used in future marker-assisted selection in snap bean.

Background: Due to genetic depletion in nature, gene banks play a critical role in the long-term conservation of plant genetic resources and the provision of a wide range of plant genetic diversity for research and breeding programs. Genetic information on accessions facilitates gene bank management and can help to conserve limited resources and to identify taxonomic misclassifications or mislabelling. Here, we developed SNP markers for genotyping 4,187 mostly polyploid rose accessions from large rose collections, including the German Genebank for Roses. Results: We filtered SNP marker information from the RhWag68k Axiom SNP array using call rates, uniformity of the four allelic dosage groups and chromosomal position to improve genotyping efficiency. After conversion to individual PACE® markers and further filtering, we selected markers with high discriminatory power. These markers were used to analyse 4,187 accessions with a mean call rate of 91.4%. By combining two evaluation methods, the mean call rate was increased to 95.2%. Additionally, the robustness against the genotypic groups used for calling was evaluated, resulting in a final set of 18 markers. Analyses of 94 pairs of assumed duplicate accessions included as controls revealed unexpected differences for eight pairs, which were confirmed using SSR markers. After removing the duplicates and filtering for accessions that were robustly called with all 18 markers, 141 out of the 1,957 accessions showed unexpected identical marker profiles with at least one other accession in our PACE® and SSR analysis. Given the attractiveness of NGS technologies, 13 SNPs from the marker set were also analysed using amplicon sequencing, with 76% agreement observed between PACE® and amplicon markers. Conclusions: Although sampling error cannot be completely excluded, this is an indication that mislabelling occurs in rose collections and that molecular markers may be able to detect these cases. In future applications, our marker set could be used to develop a core reference set of representative accessions, and thus optimise the selection of gene bank accessions. [ABSTRACT FROM AUTHOR]

Potassium ion channels play a fundamental role in regulating cell membrane repolarization, modulating the frequency and shape of action potentials, and maintaining the resting membrane potential. A growing number of studies have indicated that dysfunction in potassium channels associates with the pathogenesis and treatment of depression. However, the involvement of potassium channels in the onset and treatment of depression has not been thoroughly summarized. In this review, we performed a comprehensive analysis of the association between multiple potassium channels and their roles in depression, and compiles the SNP loci of potassium channels associated with depression, as well as antidepressant drugs that target these channels. We discussed the pivotal role of potassium channels in the treatment of depression, provide valuable insights into new therapeutic targets for antidepressant treatment and critical clues to future drug discovery. [ABSTRACT FROM AUTHOR]

Maize, belonging to the Poaceae family and the Zea L. genus, stands as an excellent food crop. The plant type has a significant impact on crop growth, photosynthesis, lodging resistance, planting density, and final yield. In this study, 160 maize inbred lines were selected as experimental materials to conduct molecular markers research on maize plant type traits through the measurement of plant type-related traits, population structure, and genome-wide association analysis. The phenotypic data revealed differences in plant type-related traits among maize inbred lines grown in the Xinzhou and Jinzhong regions. The frequency distribution of plant height, ear height, spindle length of tassel, and first-order branch number of tassel traits in the 160 maize inbred lines previously studied generally conformed to a normal distribution. We identified 42,240 high-quality single nucleotide polymorphisms (SNPs) using the Affymetrix Axiom chip. The 160 maize inbred lines were categorized into six subgroups, each exhibiting an average gene diversity of 0.356 and an average polymorphism information content of 0.245. We identified 9, 23, 18, 8 and 32 loci that were significantly associated with first-order branch number of tassel, spindle length of tassel, ear height, plant height, and ear height/plant height ratio, respectively. At the same time, 6, 22, 14, 2, and 37 genes were identified as significantly associated with first-order branch number of tassel, spindle length of tassel, ear height, plant height, and ear height/plant height ratio, respectively. This study comprehensively delved into the genetic information of maize plant type-related traits, offering valuable genetic resources and a solid theoretical foundation for the breeding of novel maize varieties with optimized plant types. [ABSTRACT FROM AUTHOR]

Milk production traits play an important role in dairy cattle breeding, and single nucleotide polymorphisms can be used as effective molecular markers for milk production trait marker-assisted breeding in dairy cattle. Based on the results of the preliminary GWAS, candidate genes SPP1 and NCAPG associated with milk production traits were screened. In this study, the aim was to screen and characterize the SNPs of SPP1 and NCAPG genes about milk production traits. Two SNPs and one haplotype block of the SPP1 gene and four SNPs and one haplotype block of the NCAPG gene were obtained by amplification, sequencing and association analysis, and all six SNPs were located in the exon region. Association analysis showed that all six SNPs were significantly associated with milk protein percentage. Linkage disequilibrium analysis showed that 2 SNPs of SPP1 (g. 36,700,265 C > T and g. 36,693,596 C > A) constituted a haplotype that correlated with milk protein percentage, and the dominant haplotype was H2H2, which was CCTT. 4 SNPs of NCAPG (g. 37,342,705 C > A, g. 37,343,379 G > T, g. 37,374,314 C > A and g. 37,377,857 G > A) constituted a haplotype associated with milk protein percentage, 305-days milk protein yield and 305 days milk yield. Tissue expression profiling results revealed that SPP1 and NCAPG had the highest expression in mammary tissue. Interference with SPP1 and NCAPG inhibited the proliferation of Bovine mammary epithelial cells. (BMECs), down-regulated the expression of PCNA , CDK2 and CCND1 , up-regulated the expression of BAX and BAD , and promoted apoptosis. Reduced triglyceride synthesis in BMECs, down-regulated the expression of DGAT1 , DGAT2 , LPIN1 , and AGPAT6. SPP1 and NCAPG are involved in the synthesis of milk proteins, and interfering with SPP1 and NCAPG decreased the secretion of β -casein, κ -casein, and αs1-casein, as well as up-regulated the CSN2 and CSN3 expression. The above results indicate that the SNP loci of SPP1 and NCAPG can be used as potential molecular markers to improve milk production traits in dairy cows, laying the foundation for marker-assisted selection. It also proves that SPP1 and NCAPG can be used as candidate key genes for milk production traits in dairy cows, providing new insights into the physiological mechanisms of lactation regulation in dairy cows. [ABSTRACT FROM AUTHOR]

Background: Cytochrome P450 is a superfamily of genes generating hemoproteins that metabolize foreign chemicals as well as endogenous compounds, such as steroids. The human CYP2C genes (CYP2C8, CYP2C9, CYP2C18, CYP2C19) cluster on chromosome 10 and metabolize many clinically useful drugs. CYP2C19 and CYP2C9 have been the most studied while CYP2C8 has been studied less frequently. CYP2C18 has been relatively ignored until recently but its importance has begun to be recognized. Methods and results: We studied the genotypes of 7 pharmacogenetic markers in 3 CYP2C genes: CYP2C19 (rs12248560), CYP2C9 (rs4918758, rs1799853), and CYP2C8 (rs10509681, rs11572103, rs1058930, rs11572080), in one Libyan population and 7 Tunisian populations. Five of the 7 SNPs are in exons and have functional consequences while one intronic SNP is considered to be in close proximity to a regulatory region because of the many studies that report associations with metabolic effects. We carried out principal component analysis (PCA) on the North African populations and 83 other populations from the 1000 Genomes Project and Kidd Laboratory. The geographic clustering observed via PCA was more pronounced when considering multi-SNP haplotype frequencies. Conclusion: This study reveals the intermediate position of North Africans between Europeans and Asians and the varied dissimilarities with other world regions. The genetic variation observed within and between geographic regions have implications for drug metabolism and adverse individual responses to medical treatments. [ABSTRACT FROM AUTHOR]

Understanding the genetic diversity of crops is of fundamental importance for the efficient use and improvement of germplasm resources. Different molecular genotyping systems have been implemented for population structure and phylogenetic relationships analyses, among which, microsatellites (SSRs) and single nucleotide polymorphisms (SNPs) markers have been the most widely used. This study reports the efficacy of SNPs detected via double-digest restriction-site-associated DNA sequencing (ddRADseq) and SSRs analyzed via capillary electrophoresis (CE) and high-resolution melting (HRM) in tomato. In total, 21,020 high-quality SNPs, 20 CE-SSRs, and 17 HRM-SSR markers were assayed in a panel of 72 accessions that included a diversified set of landraces, long-shelf-life cultivars and heirlooms with different origins and fruit typology. The results showed how the population structure analysis was consistent using the three genotyping methods, although SNPs were more efficient in distinguishing cultivar types and in measuring the degree of accessions' similarity. Compared to CE-SSR, the analysis of microsatellites via HRM yielded a slightly higher number of alleles (98 vs. 96). HRM-SSR demonstrated a distinction between European and non-European germplasm, better resolving the collection's diversity and being more consistent with SNP data. Phylogenetic trees drawn with independent marker data, detected specific groups of accessions showing robust clusters, highlighting how heirlooms were less heterogeneous than landraces. In addition, the fixation index (FST) revealed a high genetic differentiation between heirlooms and long-shelf-life cultivars, with SNP and SSR-HRM data emphasizing the distinction between cherry and plum types and CE-SSR data between cherry and oxheart types. In all instances, a greater molecular variance was found within the different considered biological statuses, provenances, and typologies rather than among them. This work presents the first attempt to compare the three tomato genotyping techniques in tomato. Findings highlighted how the markers used are complementary for genetic diversity analysis, with SNPs providing better insight and HRM-SSR as a viable alternative to capillary electrophoresis to dissect the genetic structure. [ABSTRACT FROM AUTHOR]

Ethyl methanesulfonate (EMS)-induced mutagenesis is a prominent method for generating plant mutants, often resulting in chimera plants; however, their transcriptional and genetic characteristic remain elusive. In this investigation, chimera pea (Pisum sativum L.) specimens, labeled GY1 and GY2, exhibiting a distinctive phenotype with yellow and green leaves were meticulously cultivated via sequential double EMS mutagenesis. The observed color disparity between the yellow and green leaves was attributed to a significant reduction in chlorophyll content coupled with heightened lutein levels in both chimeric variants. Transcriptome profiling revealed the enrichment of differentially expressed genes in both GY1 and GY2, specifically implicating Kyoto Encyclopedia of Genes and Genomes pathways linked to amino acid biosynthesis and ribosome development, alongside Gene Ontology (GO) biological processes linked with stress response mechanisms. Few structural genes associated with chlorophyll and lutein biosynthesis exhibited discernible differential expression. Despite these functional similarities, distinctive nuances were evident between specimens, with GY1 exhibiting enrichment in GO pathways related to chloroplast development and GY2 showing enrichment for ribosome development pathways. Single-nucleotide polymorphism (SNP) analysis uncovered a shared pool of 599 and 598 polymorphisms in the yellow and green leaves of GY1 and GY2, respectively, likely stemming from the initial EMS mutagenesis step. Further investigation revealed an increased number of unique SNPs in the yellow leaves following the second EMS application, whereas the green leaves exhibited sparse and unique SNP occurrences, suggestive of potential evasion from secondary mutagenesis. This inherent genetic variability underpins the mechanism underlying the formation of chimera plants. Predominant base mutations induced by EMS were characterized by G/A and C/T transitions, constituting 74.1% of the total mutations, aligning with established EMS mutation induction paradigms. Notably, genes encoding the eukaryotic translation initiation factor eIIso4G and the ubiquitin ligase RKP, known to modulate leaf color in model plants, harbored two SNPs in the yellow leaves of both GY1 and GY2, implicating their putative role in the yellow leaf phenotype. Collectively, this study provides novel insights into the transcriptional and genetic characteristics of chimera plants via EMS-induced mutagenesis. [ABSTRACT FROM AUTHOR]

Background: The currently used methods for the detection of methylene tetrahydrofolic acid reductase (MTHFR) C677T single nucleotide polymorphism (SNP) are either time-consuming or expensive. In this study, we devised an accurate, rapid and easy-to-use SNP detection system based on fluorescent primers amplification refractory mutation system qPCR, known as FP ARMS-qPCR. Methods: Fluorescent primers (FPs) modified by fluorescent dye or quencher near the 3′ terminal thymine were designed. The reaction conditions were optimized and the performance was evaluated. Using commercial kits as controls, 242 samples were tested in parallel to verify the feasibility of the FP ARMS-qPCR assay. Results: We demonstrated the good sensitivity and specificity of the FP ARMS-qPCR with optimized conditions. The assay was able to accurately distinguish between different SNP sites of MTHFR C677T in less than 2 h using as low as 50 pg of template genomic DNA. Completely consistent genotyping results reveal that FP ARMS-qPCR is concordant with commercial kits. Conclusion: We established a specific, sensitive, and rapid FP ARMS-qPCR method for the detection of MTHFR C677T genotype. This could also serve as a potential diagnostic tool for a variety of diseases. [ABSTRACT FROM AUTHOR]

Introduction: Cutibacterium acnes can both be a helpful colonizer of the human skin as well as the causative agent of acne and purulent infections. Until today, it is a moot point whether there are C. acnes strains exclusively devoted to be part of the skin microbiome and others, that carry special features enabling them to cause disease. So far, the search for the molecular background of such diverse behavior has led to inconsistent results. Methods: In the present study, we prospectively collected C. acnes strains from 27 infected persons and 18 healthy controls employing rigid selection criteria to ensure their role as infectious agent or colonizer. The genome sequences from these strains were obtained and carefully controlled for quality. Results: Deduced traditional phylotyping assigned almost all superficial isolates to type IA1, while the clinical strains were evenly distributed between types IA1, IB, and II. Single locus sequence typing (SLST) showed a predominance of A1 type for the control strains, whereas 56% of the clinical isolates belonged to types A1, H1 and K8. Pangenome analysis from all the present strains and 30 published genomes indicated the presence of an open pangenome. Except for three isolates, the colonizing strains clustered in clades separate from the majority of clinical strains, while 4 clinical strains clustered with the control strains. Identical results were obtained by a single nucleotide polymorphism (SNP) analysis. However, there were no significant differences in virulence gene contents in both groups. Discussion: Genome-wide association studies (GWAS) from both the pangenome and SNP data consistently showed genomic differences between both groups located in metabolic pathway and DNA repair genes. Thus, the different behavior of colonizing and infectious C. acnes strains could be due to special metabolic capacities or flexibilities rather than specific virulence traits [ABSTRACT FROM AUTHOR]

The current investigation was undertaken to elucidate the population-stratifying and ancestry-informative markers in Indian, Chinese, and wild yak populations using whole genome resequencing (WGS) analysis while employing various selection strategies (Delta, Pairwise Wright's Fixation Index-FST, and Informativeness of Assignment) and marker densities (5–25 thousand). The study used WGS data on 105 individuals from three separate yak cohorts i.e., Indian yak (n = 29), Chinese yak (n = 61), and wild yak (n = 15). Variant calling in the GATK program with strict quality control resulted in 1,002,970 high-quality and independent (LD-pruned) SNP markers across the yak autosomes. Analysis was undertaken in toolbox for ranking and evaluation of SNPs (TRES) program wherein three different criteria i.e., Delta, Pairwise Wright's Fixation Index-FST, and Informativeness of Assignment were employed to identify population-stratifying and ancestry-informative markers across various datasets. The top-ranked 5,000 (5K), 10,000 (10K), 15,000 (15K), 20,000 (20K), and 25,000 (25K) SNPs were identified from each dataset while their composition and performance was assessed using different criteria. The average genomic breed clustering of Indian, Chinese, and wild yak cohorts with full density dataset (105 individuals with 1,002,970 markers) was 81.74%, 80.02%, and 83.62%, respectively. Informativeness of Assignment criterion with 10K density emerged as the best combination for three yak cohorts with 86.94%, 96.46%, and 98.20% clustering for Indian, Chinese, and wild yak, respectively. There was an average increase of 7.56%, 22.72%, and 30.35% in genomic breed clustering scores of Indian, Chinese, and wild yak cohorts over the estimates of the original dataset. The selected markers showed overlap multiple protein-coding genes within a 10 kb window including ADGRB3, ANK1, CACNG7, CALN1, CHCHD2, CREBBP, GLI3, KHDRBS2, and OSBPL10. This is the first report ever on elucidating low-density SNP marker sets with population-stratifying and ancestry-informative properties in three yak groups using WGS data. The results gain significance for application of genomic selection using cost-effective low-density SNP panels in global yak species. [ABSTRACT FROM AUTHOR]

Failure to consider population structure when managing harvested fishes increases the risk of stock depletion, yet empirical estimates of population structure are often lacking for important fishery species. In this study, we characterise genetic variation in single nucleotide polymorphisms (SNPs) to assess population structure for three harvested species of tropical snappers across the broad (up to 300 km wide) and extensive (~ 4000 km) continental shelf of north-western Australia. Comparisons across ~ 300 individuals per species, showed remarkably similar patterns of genetic structure among Lutjanus sebae (red emperor), L. malabaricus (saddletail snapper) and Pristipomoides multidens (goldband snapper) despite subtle differences in biological and ecological traits. Low levels of genetic subdivision were reflected in an isolation by distance relationship where genetic connectivity increased with geographic proximity. This indicates extensive but not unlimited dispersal across the north-western Australian shelf. Our findings provide evidence of connectivity between current management areas, violating the assumption of multiple independent stocks. Spatial stock assessment models may be more suitable for the management of these species however demographic connectivity rates cannot be accurately estimated from the conventional population genetic approaches applied in this study. We recommend that managers aim to maintain adequate spawning biomass across current management areas, and assess stocks at finer scales, where practical. [ABSTRACT FROM AUTHOR]

Introduction: With its distinctive evolutionary rate and inheritance patterns separate from the nuclear genome, mitochondrial genome analysis has become a prominent focus of current research. Dendrobium hancockii Rolfe, a species of orchid with both medicinal and horticultural value, will benefit from the application of the fully assembled and annotated mitochondrial genome. This will aid in elucidating its phylogenetic relationships, comparative genomics, and population genetic diversity. Methods: Based on sequencing results from Illumina combined with PacBio and Nanopore, the mitochondrial genome map of D. hancockii was constructed. Comparative analysis was conducted from the perspectives of phylogeny across multiple species, selection pressure on protein-coding genes, and homologous segments. The population diversity of D. hancockii was analyzed using single nucleotide polymorphism (SNP) data from the mitochondrial genome and single-copy nuclear genes. Results and discussion: This research constructed a circular mitochondrial map for D. hancockii , spanning 523,952 bp, containing 40 unique protein-coding genes, 37 transfer RNA genes, and 4 ribosomal RNA genes. Comparative analysis of mitochondrial genes from 26 land plants revealed a conserved gene cluster, " rpl16-ccmFn-rps3-rps19 ," particularly within the Dendrobium genus. The mitochondrial genome of D. hancockii exhibits a lower point mutation rate but significant structural variation. Analysis of 103 resequencing samples identified 19,101 SNP sites, dividing D. hancockii into two major groups with limited gene flow between them, as supported by population diversity, genetic structure analysis, principal component analysis, and phylogenetic trees. The geographical distribution and genetic differentiation of D. hancockii into two major groups suggest a clear phytogeographical division, likely driven by ancient geological or climatic events. The close alignment of mitochondrial data with nuclear gene data highlights the potential of the mitochondrial genome for future studies on genetic evolution in this species. [ABSTRACT FROM AUTHOR]

The expansive collection of genetic and phenotypic data within biobanks offers an unprecedented opportunity for biomedical research. However, the frequent occurrence of missing phenotypes presents a significant barrier to fully leveraging this potential. In our target application, on one hand, we have only a small and complete dataset with both genotypes and phenotypes to build a genetic prediction model, commonly called a polygenic (risk) score (PGS or PRS); on the other hand, we have a large dataset of genotypes (e.g. from a biobank) without the phenotype of interest. Our goal is to leverage the large dataset of genotypes (but without the phenotype) and a separate genome-wide association studies summary dataset of the phenotype to impute the phenotypes, which are then used as an individual-level dataset, along with the small complete dataset, to build a nonlinear model as PGS. More specifically, we trained some nonlinear models to 7 imputed and observed phenotypes from the UK Biobank data. We then trained an ensemble model to integrate these models for each trait, resulting in higher R 2 values in prediction than using only the small complete (observed) dataset. Additionally, for 2 of the 7 traits, we observed that the nonlinear model trained with the imputed traits had higher R 2 than using the imputed traits directly as the PGS, while for the remaining 5 traits, no improvement was found. These findings demonstrate the potential of leveraging existing genetic data and accounting for nonlinear genetic relationships to improve prediction accuracy for some traits. [ABSTRACT FROM AUTHOR]

Head and neck cancer is the seventh leading cancer diagnosis worldwide. One of the most common cancers in the head and neck region is laryngeal cancer. In past years, the incidence of laryngeal squamous cell carcinoma has risen by 23%, and despite progress in treatment modalities, the survival rate has not changed. It is well known that genetic alterations may contribute to individuals' susceptibility to cancer. Research of genetic alterations, such as single nucleotide polymorphisms, is essential to understanding carcinogenesis and susceptibility of laryngeal squamous cell carcinoma. A total of 200 LSCC patients and 200 controls were included in this retrospective case-control study; both groups were matched by age and sex. In the present study, we analyzed six SNPs in genes essential for apoptosis regulation: TP53 (rs9895829, rs17884306), BCL2 (rs1564483, rs4987855), BAX (rs704243), NOXA (PMAIP1) (rs1041978, rs78800940). We evaluated their associations with the risk of LSCC development, its pathomorphological manifestation, and patients' overall survival rate. Genotyping was carried out using RT-PCR. The AG genotype of rs9895829 was more prevalent in controls than in cancer patients, leading to lower susceptibility to LSCC (OR = 0.301; 95%CI 0.096–0.940; p = 0.039). None of the analyzed SNPs showed an association with pathomorphological features of LSCC, but NOXA rs1041978 T allele carriers were found to be diagnosed with LSCC at an older age (OR = 1.962; 95%CI 1.072–3.592; p = 0.031). There was no statistically significant association between investigated SNPs and patient OS. The present study indicates that the AG genotype of rs9895829 provides a protective effect against LSCC development. [ABSTRACT FROM AUTHOR]

This narrative review examines the relationship between dopamine-related genetic polymorphisms, personality traits, and athletic success. Advances in sports genetics have identified specific single nucleotide polymorphisms (SNPs) in dopamine-related genes linked to personality traits crucial for athletic performance, such as motivation, cognitive function, and emotional resilience. This review clarifies how genetic variations can influence athletic predisposition through dopaminergic pathways and environmental interactions. Key findings reveal associations between specific SNPs and enhanced performance in various sports. For example, polymorphisms such as COMT Val158Met rs4680 and BDNF Val66Met rs6265 are associated with traits that could benefit performance, such as increased focus, stress resilience and conscientiousness, especially in martial arts. DRD3 rs167771 is associated with higher agreeableness, benefiting teamwork in sports like football. This synthesis underscores the multidimensional role of genetics in shaping athletic ability and advocates for integrating genetic profiling into personalized training to optimize performance and well-being. However, research gaps remain, including the need for standardized training protocols and exploring gene–environment interactions in diverse populations. Future studies should focus on how genetic and epigenetic factors can inform tailored interventions to enhance both physical and psychological aspects of athletic performance. By bridging genetics, personality psychology, and exercise science, this review paves the way for innovative training and performance optimization strategies. [ABSTRACT FROM AUTHOR]

Elevated fetal hemoglobin (HbF), which is partly controlled by genetic modifiers, ameliorates disease severity in β hemoglobinopathies. Understanding the genetic basis of this trait holds great promise for personalized therapeutic approaches. PubMed, MedRxiv, and the GWAS Catalog were searched up to May 2024 to identify eligible GWAS studies following PRISMA guidelines. Four independent reviewers screened, extracted, and synthesized data using narrative and descriptive methods. Study quality was assessed using a modified version of the Q-Genie tool. Pathway enrichment analysis was conducted on gene lists derived from the selected GWAS studies. Out of 113 initially screened studies, 62 underwent full-text review, and 16 met the inclusion criteria for quality assessment and data synthesis. A total of 939 significant SNP-trait associations (p-value < 1 × 10−5) were identified, mapping to 133 genes (23 with overlapping variant positions) and 103 intergenic sequences. Most SNP-trait associations converged around BCL11A (chr.2), HBS1L-MYB, (chr.6), olfactory receptor and beta globin (HBB) gene clusters (chr.11), with less frequent loci including FHIT (chr.3), ALDH8A1, BACH2, RPS6KA2, SGK1 (chr.6), JAZF1 (chr.7), MMP26 (chr.11), COCH (chr.14), ABCC1 (chr.16), CTC1, PFAS (chr.17), GCDH, KLF1, NFIX, and ZBTB7A (chr.19). Pathway analysis highlighted Gene Ontology (GO) terms and pathways related to olfaction, hemoglobin and haptoglobin binding, and oxygen carrier activity. This systematic review confirms established genetic modifiers of HbF level, while highlighting less frequently associated loci as promising areas for further research. Expanding research across ethnic populations is essential for advancing personalized therapies and enhancing outcomes for individuals with sickle cell disease or β-thalassemia. [ABSTRACT FROM AUTHOR]

Aims: We aimed to evaluate the impact of C-reactive protein (CRP) gene polymorphism, additional gene–gene interaction, and haplotypes on susceptibility to type 2 diabetes mellitus (T2DM). Methods: SNPstats online software (https://www.snpstats.net/start.htm) was employed to evaluate the association between CRP gene and T2DM risk. High-order interactions among SNPs was tested using generalized multifactor dimensionality reduction, and the testing balanced accuracy, training balanced accuracy and cross-validation consistency were calculated. The SHEsisPlus (http://shesisplus.bio-x.cn/SHEsis.html) online software was used for haplotype analysis. Results: A total of 730 T2DM patients and 765 controls were enrolled. The T allele of rs1205 is associated with increased susceptibility to T2DM, OR (95% CI) were 1.51 (1.13–2.01), 1.44 (1.10–1.89) and 1.25 (1.01–1.54) for codominant, dominant and over-dominant models, respectively. We also found that minor allele of rs2794521 is associated with decreased susceptibility to T2DM under codominant and recessive models, OR (95%CI) were 0.38 (0.18–0.79) and 0.37 (0.16–0.80) for codominant and recessive models, respectively. No significant gene–gene interaction existed among CRP gene SNPs, all interaction p- values were more than 0.05. Haplotype analyses suggested the CGCA haplotype containing rs1205-C, rs1130864-G, rs2794521- C and rs3093059- A allele was associated with decreased risk of T2DM, OR (95% CI) = 0.83 (0.68–0.98), P = 0.047. Conclusions: Minor allele of rs1205 was associated with increased T2DM risk. Minor allele of rs2794521 and the CGCA haplotype were associated with decreased T2DM risk. [ABSTRACT FROM AUTHOR]

Observational studies have suggested links between standing height, BMI, body fat percentage, and inguinal hernia risk, but with inconsistent results. We conducted Mendelian randomization (MR) method to investigate their causal relationships. Independent SNPs associated with standing height, BMI, and body fat percentage were extracted from GWAS data as instrumental variables (IVs). Two-sample MR initially explored causal relationships between these factors and inguinal hernia risk. Multivariable Mendelian randomization (MVMR) assessed the direct causal effects of exposures on inguinal hernia. Positive findings from the MVMR analysis were independently validated. The inverse-variance weighted Methods (IVW), weighted median(WM), and MR-Egger were used for the MR estimates. Sensitivity analyses were used to examine the stability and reliability of the results. Two-sample MR analysis revealed a suggestive causal association between height and inguinal hernia (OR = 1.091, 95% CI = 1.003–1.186, P = 0.042). BMI (OR = 0.846, 95% CI = 0.774–0.924, P < 0.001) and body fat percentage (OR = 0.793, 95% CI = 0.690–0.911, P = 0.001) were significantly protective factors. After MVMR adjustment, BMI (OR = 0.746,95%CI = 0.638–0.872, P < 0.001) remained protective. Independent validation yielded consistent result. Genetically predicted BMI is a significant protective factor for inguinal hernia, providing valuable guidance for individualized prevention strategies. [ABSTRACT FROM AUTHOR]

In order to describe large-scale spatial structure of sockeye salmon on the Asian part of the range, the variability of 45 SNP loci was analyzed in 22 samples from the Northwest coast of the Pacific Ocean. Three large regional population complexes were identified: Southwest Kamchatka, Kamchatka River basin, and the Northeast (comprising stocks from Koryak Highlands). Populations within the identified complexes are connected by gene migration and have a common origin, close geographic proximity, comparable climatic, landscape, and environmental conditions in the freshwater and early marine periods of sockeye salmon life. Populations confined to watersheds of the North coast of the Sea of Okhotsk (Palana and Okhota rivers), along with island populations, displayed distinctions from the isolated population complexes. It is hypothesized that the marked divergence observed in island populations is primarily caused by genetic drift occurring during long periods of isolation. The pronounced divergence of Palana River population may be the result of both genetic drift and natural selection, driven by the challenging smoltification and specific conditions of freshwater period in this watershed. At the same time in the Okhota River population, demographic factors such as genetic drift and bottlenecks played a key role. [ABSTRACT FROM AUTHOR]

Ketosis, evidenced by hyperketonemia with elevated blood β‐hydroxybutyrate (BHB) levels, is a significant metabolic disorder of dairy cattle, typically diagnosed within the first 6 weeks post‐calving when high energy levels are essential to milk production. Our study aimed to identify genetic markers linked to hyperketonemia (HYK) patterns in Holstein cows during early lactation and compare these to HYK‐negative cows. We screened 964 cows for HYK using a threshold of BHB ≥1.2 mmol/L during the first 2 weeks postpartum (screening period, SP). Cows that tested negative initially were retested the following week. Cows were deemed HYK‐negative (CON group) if BHB levels were below 1.2 mmol/L in both tests, while those with BHB levels exceeding this threshold at any test were treated and classified as HYK‐positive (HYK+). Post‐treatment, HYK+ cows were monitored for two‐week follow‐up period (FP) and classified based on their recovery: cured (CUR; consistently low BHB), recurrent (REC; fluctuating BHB levels), severe (SEV; high initial BHB that decreased), or chronic (CHR; persistently high BHB). Using 489 cows that were genotyped, a GWAS was conducted using GCTA software, revealing significant associations of several SNPs across different HYK patterns when compared to the CON group. These SNPs were primarily linked to genes affecting milk traits and were enriched in biological pathways relevant to protein glycosylation, inflammatory response, glucose homeostasis, and fatty acid synthesis. Our findings highlight genomic regions, potential candidate genes, and biological pathways related to ketosis, underscoring potential targets for improving health management in dairy cattle. These insights could lead to better strategies for managing ketosis through genetic selection, ultimately enhancing dairy cattle welfare and productivity. Further research with a larger number of cows is recommended to validate these findings and help confirm the implicated SNPs and genes. [ABSTRACT FROM AUTHOR]

A 44-year-old man with hypertension and dyslipidemia presented with pain in the buttocks. The patient was diagnosed with perianal ischiorectal fossa abscesses and cellulitis. He was subsequently diagnosed with a perineal subcutaneous abscess after a week, a right lower leg impetigo after a month, right periorchitis, a scrotal abscess, and Fournier's gangrene after two months. The patient was treated with various antimicrobials and underwent incisional drainage. Methicillin-resistant Staphylococcus aureus (MRSA) was detected in all draining specimens. Her daughter and son, who lived with the patient, presented with subcutaneous abscesses caused by MRSA. Suspecting repeated infections and household infections by virulent types of MRSA, such as PVL-positive strains, we performed genetic analyses of his and his son's strains. The results showed that the genotype and toxin gene profiles [ST8/t008/SCCmec type IVc/Panton-Valentine leucocidin (PVL) (+)/arginine catabolic mobile element (ACME) (−)] of both strains matched. single nucleotide polymorphism (SNP) analysis confirmed genetic homology between the two, concluding that home transmission by the same clone had occurred. In addition, the strain in this case differed from USA300 [ST8/t008/SCCmec type IVa/PVL (+) ACME (+)], which is a PVL-positive MRSA worldwide, including Japan, and its genetic profile matches that of USA300-LV, which is detected mainly in South America. Furthermore, SNP analysis showed that this strain is similar to USA300-LV/J (derived from USA300-LV) detected on Ishigaki Island, Okinawa Prefecture, Japan. This is the first report of refractory infections and household transmission of USA300-LV/J. Therefore, it is necessary to closely monitor both the USA300 and the USA300-LV. [ABSTRACT FROM AUTHOR]

The dysfunction of the ABO glycosyltransferase (GT) enzyme, which is caused by mutations in the ABO gene, can lead to weak ABO phenotypes. In this study, we have discovered a novel weak ABO subgroup allele and investigated the underlying mechanism to causing its A weak phenotype. The ABO phenotyping and genotyping were performed by serological studies and direct DNA sequencing of ABO gene. The role of the novel single nucleotide polymorphism (SNP) was evaluated by 3D model, predicting protein structure changes, and in vitro expression assay. The total glycosyltransferase transfer capacity in supernatant of transfected cells was examined. The results of serological showed the subject was A weak phenotype. A novel SNP c.424A > G (p. M142V) based on ABO∗A1.02 was identified, and the genotype of the subject was AW-var/O.01 according to the gene analysis. In silico analysis showed that the SNP c.424A > G on the A allele may change the local conformation by damaging the hydrogen bonds and reduce the stability of GT. In vitro expression study showed that SNP p.M142V impaired H to A antigen conversion, although it did not affect the generation of A glycosyltransferase (GTA). One novel AW allele was identified and the SNP c.424A > G (p.M142V) can cause the A weak phenotype through damaging the hydrogen bonds and reducing stability of the GTA. [ABSTRACT FROM AUTHOR]

Oil tea camellia (Camellia spp.) is an important woody oil crop with a high nutritional and economic value. Whole-genome resequencing (WGR) technology can provide an in-depth understanding of the genetic background of this plant as well as a reference for breeding research, germplasm resource conservation, and genetic modification. In this study, we analyzed SNP and InDel variations in 49 individual oil tea camellia germplasm samples collected from five populations located in three provinces of China: Hainan, Guangdong and Guangxi. The samples were analyzed through WGR after the ploidy of the samples was determined through flow cytometry. A total of 239,441,603 high-quality single nucleotide polymorphisms (SNPs) and 23,510,374 high-quality insertion/deletion variation sites (InDels) were obtained. The distribution of SNPs and InDels in different functional regions differed significantly, with a high density of variations in non-coding regions, such as intergenic regions and introns, and a relatively low density of variations in coding regions. Transition was the main type of SNP variation. A population genetic diversity analysis revealed that the sampled oil tea camellia populations exhibited a high genetic diversity and extensive genetic variation. The genetic diversity of the oil tea camellia populations in the Hainan region was higher than inland regions. This study also determined the genetic diversity of and variations between octoploid and decaploid oil tea camellia in the tropics and between Hainan-based and inland oil tea camellia. Such findings provide a reference for the conservation of germplasm resources and the genetic modification of oil tea camellia. [ABSTRACT FROM AUTHOR]

The relationship of single nucleotide polymorphisms (SNPs) in COL4A2 gene with risk and outcome of primary intracerebral hemorrhage (ICH) in the Chinese Han population remains unclear, which was investigated in this study. Primary ICH patients and non-stroke controls of Chinese Han ethnicity were enrolled. The genotypes of 8 tag-SNPs were determined using a custom-by-design 48-Plex SNPscan Kit. Poor 3-month outcome was defined as modified Rankin Scale score 4–6. Logistic regression was employed to examine association between COL4A2 variants and risk and poor outcome of primary ICH. 323 patients with primary ICH and 376 stroke-free controls were included. Compared to controls, the rs1049931 G and rs1049906 C alleles were associated with increased ICH risk (p = 0.027 and 0.033), and these two allele counts increased this risk after adjustments respectively (additive model: adjusted OR [aOR] 1.41, 95% CI 1.03–1.94, corrected p = 0.043; aOR 1.37, 95% CI 1.01–1.86, corrected p = 0.043). The rs1049931 AG/GG and rs1049906 CT/CC genotypes showed increased susceptibility to non-lobar hemorrhage (aOR 1.63, 95% CI 1.06–2.50, p = 0.025; aOR 1.63, 95% CI 1.07–2.47, p = 0.022). Haplotype analysis revealed an association between rs1049906-rs1049931 haplotype CG and ICH risk (OR 1.36, 95% CI 1.05–1.78, p = 0.021). Regarding clinical outcome, the rs3803230 C allele (dominant model: aOR 1.94, 95% CI 1.04–3.63, p = 0.037) and haplotype AC of rs7990214-rs3803230 (OR 1.98, 95% CI 1.13–3.46, p = 0.015) contributed to 3-month poor outcome. The COL4A2 polymorphisms are associated with an increased risk of primary ICH, mainly non-lobar hemorrhage, and with long-term poor outcome after ICH in Chinese Han population. [ABSTRACT FROM AUTHOR]

Enteritis caused by Vibrio is a highly die-off disease that severely impeded substantial production in seahorse aquaculture. In the present study, challenged with LD50 of concentration of Vibrio harveyi, a total of 161 of susceptible and 166 of resistant individuals were allocated into binary survival phenotypes, thus, to firstly investigate the genetic architecture by genome-wide association study (GWAS) analysis, as well as to evaluate the feasibility of genomic selection (GS) in enteritis disease resistance trait of the lined seahorse Hippocampus erectus. Results indicated that the heritability for resistance to Vibrio harveyi was estimated to be 0.10. And a set of 10 significant/suggestive SNPs in a multiple chromosomes localization were identified, explaining 7.76% to 13.28% of genetic variance. Associated 82 of candidate geneswere clustered into signal transduction, cell proliferation, response of external stress, bacteria defence, and antiinflammatory processes. Moreover, the potential performance of genomic selection (GS) in application in selective breeding for enteritis disease resistance seahorses was assessed by genomic prediction (GP). In general, the predictive accuracy of the genomic estimated breeding value (GEBV) of BayesC exceeded the rrBLUP, BayesA, RKHS, and SVM models while with no significant difference. And the GWAS-informative SNPs was significantly superior in efficience than random selected markers by comparison of predictive performance on different selection strategies of SNPs. Overall, the genetic basis of enteritis disease resistance trait in the lined seahorse is a polygenic genetic architecture. SNPs associated with the important genes of cathepsin L1-like previously reported with respect to disease resistance are consider as potential molecular markers of genetic breeding. Furthermore, GS approach is an appropriate, effective, and less-cost application in breeding enteritis disease-resistant seahorses. [ABSTRACT FROM AUTHOR]

Background: Existing epidemiological data indicated a correlation between thyroid cancer (THCA) and the risk of secondary primary malignancies (SPMs). However, the correlation does not always imply causality. Methods: The Mendelian randomization (MR) analyses were performed to investigate the causal relationships between THCA and SPMs based on international multicenter data. Odds ratios (ORs) with 95% confidence intervals (95% CIs) were calculated. The Cancer Genome Atlas (TCGA) was used to explore potential mechanisms shared by THCA and bladder cancer (BLCA). Results: Summary datasets of genome-wide association studies (GWAS) on 30 types of cancers were obtained from the United Kingdom Biobank (UKB) and FinnGen database. Meta-analysis of the UKB and FinnGen results revealed that THCA was significantly positively correlated with BLCA (OR = 1.140; 95% CI, 1.072-1.212; P < 0.001). Four genes, including WNT3, FAM171A2, MLLT11, and ULBP1, were identified as key genes shared by both TCHA and BLCA. Correlation analysis indicated that THCA may increase the risk of secondary BLCA through augmentation of N2 neutrophil infiltration. Conclusions: This study showed that THCA was causally related to BLCA. It is recommended to conduct more rigorous screenings for BLCA during the followup of THCA patients. [ABSTRACT FROM AUTHOR]

Background: Microvascular complications of diabetes including retinopathy, nephropathy, and neuropathy are those long-term complications that affect small blood vessels. Diabetic nephropathy (DN) is characterized by persistent microalbuminuria. A meta-analysis of case–control studies aims to examine the relationship between MnSOD (rs4880) and GPx1 (rs1050450) and the risk of DN. Methods: Various databases such as Web of Science, PubMed, Springer Link, Cochrane Library, Science Direct, Embase, and Google Scholar were utilized to extract relevant studies. The statistical software MedCalc version 22.009 was acquired to accomplish the meta-analysis of the included studies. Results: A significant association was found between two SNPs (rs4880 and rs1050450) and DN in the homozygous recessive model [95% confidence interval (CI) 0.97–2.41, odds ratio (OR) TT vs CC = 1.53, P = 0.06] and heterozygous model [95% CI 0.92–1.97, OR CT vs CC = 1.35, P = 0.12], while there was no association with the other genetic models. A significant association between rs4880 and DN was perceived in the Asian population [95% CI 1.24–2.03, OR = 1.6, P < 0.001], meanwhile the studies among Caucasian group showed insignificant association [95% CI 0.87–1.32, OR = 1.07, P = 0.5]. On the other hand, the association between rs1050450 and DN was significant [95% CI 3.80–13.01, OR = 7.04, P < 0.001] and insignificant [95% CI 0.96–2.28, OR = 1.48, P = 0.07] among Asian and Caucasian population, respectively. Conclusion: To date, this meta-analysis could be the first to contribute a panoramic exploration of the MnSOD and GPx1 polymorphic association with DN. The results of the study contemplate the data presently accessible from the literature and can be employed as an influential lead for future research. [ABSTRACT FROM AUTHOR]

Background and Objective Methods Results Conclusion A disintegrin and metalloprotease 33 (ADAM33) is associated with asthma susceptibility, and its genetic variations impact susceptibility and disease severity. However, the mechanisms remain unclear. This study aimed to investigate ADAM33 single nucleotide polymorphisms (SNPs) in childhood asthma susceptibility and explore their regulatory mechanisms.Eleven selected SNPs in ADAM33 were genotyped and identified the association with asthma susceptibility. In the validation cohort, we measured plasma sADAM33 levels and compared them with disease severity among children with different SNP genotypes. Computational predictions identified miRNAs targeting the SNP, and the impact of the SNP on miRNA regulation was confirmed using a dual luciferase reporter system. Finally, we validated the regulatory role of miRNAs on ADAM33 expression using an in vitro model with upregulated ADAM33 expression.Only rs3918400 was associated with asthma susceptibility. In the validation cohort, children with allergic asthma exhibited higher plasma sADAM33 levels. Among asthmatic children, those with the rs3918400 CT/TT genotype had higher sADAM33 levels, poorer asthma control, more severe airway hyper‐responsiveness, lower FEV1% and higher dust mite‐specific IgE activity compared to those with the CC genotype. miR‐3928‐5p bound strongly to the rs3918400 C allele and effectively reduced ADAM33 protein expression in CC genotype cells. However, the binding affinity of miR‐3928‐5p to the T allele was weaker, resulting in diminished negative regulation of protein expression.The rs3918400 SNP affects the negative regulation of ADAM33 by miR‐3928‐5p, potentially participating in a complex interplay of processes related to childhood asthma susceptibility. [ABSTRACT FROM AUTHOR]

Background: Obesity and frailty are prevalent geriatric conditions that share some pathophysiological mechanisms and are associated with adverse clinical outcomes. The relationship between frailty, obesity, and polymorphism remains inadequately explored. Single nucleotide polymorphisms (SNPs) offer insights into genetic predispositions that may influence the development of both frailty and obesity. Methods: We aimed at investigating whether SNPs associated with frailty also play a role in obesity. Data were collected from the FRASNET cross-sectional study, which included community-dwelling older individuals residing in Milan and nearby areas. Participants were recruited through random sampling. They underwent multidimensional geriatric assessments, which included the collection of blood samples for SNP analysis. Frailty was assessed using the frailty index, and body composition was evaluated using bioelectrical impedance analysis and anthropometric measures. Results: SNPs related to frailty and linked to the renin-angiotensin system (CYP11B2 rs1799998, AGT rs5051, and AGTR1 rs2131127), apoptosis pathways (CASP8 rs6747918), growth hormone signaling (GHR rs6180), inflammation (TLR4 rs5030717, CD33 rs3865444, and FN1 rs7567647), adducin (ADD3 rs3731566), and the 9p21-23 region (rs518054) were found to be associated with various measures of obesity in community-dwelling older adults. Conclusions: Frailty-related SNPs contribute to obesity in community-dwelling older adults. We identified a novel association between adducin SNPs and visceral fat, which has not been previously reported. Detecting genetic predispositions to obesity and frailty early could aid in identifying individuals at risk, facilitating the adoption of preventive interventions. This represents an initial step toward promoting early intervention strategies. [ABSTRACT FROM AUTHOR]

This study was performed on Micropterus salmoides to determine growth-linked gene and single nucleotide polymorphism (SNP) markers under carbohydrate diet and varying temperature through RNA-seq and whole-genome re-sequencing. The results showed that growth-related genes were primarily enriched in the fat digestion and absorption signaling pathway, playing a role in lipid transport and metabolism. Fatty acid binding protein 6, bile salt-activated lipase-like, lysophosphatidylcholine acyltransferase 2, phospholipase A2, minor isoenzyme-like, and phospholipase A2, group IB (pancreas) were identified as the crucial genes. The differentially expressed genes between high and low temperatures were enriched in the pentose phosphate pathway, with carbohydrate transport and metabolism were most affected by temperature. Major facilitator superfamily domain containing 10, phosphogluconate dehydrogenase, fructose-1,6-bisphosphatase 1a, and spinster homolog 3 transcript variant X1(spns3) were the shared genes affected by temperature. From all the common genes, 10 growth-associated SNP markers were identified. The TT genotype at rs7781 was associated with lower body weight, while AA genotype at rs31434173 and CC genotype at rs31435313 showed positive correlation with body weight. Analogously, the GG genotype at rs31436887 and AA genotype at rs31438769 also found to characterize better growth performance. At low temperature, individuals with the AA genotype at rs11506587 and rs31435313 exhibited the slowest growth. For the genotypes labeled with rs11510589, the GG individual grew faster than the AA individual, whereas the opposite phenomenon occurred in these genotypes when labeled with rs11511314. The genotypes at rs32970704 and rs32967921 showed no growth correlation. The AA genotype at rs31435313 in spns3 had the slowest growth under a carbohydrate-rich diet regardless of the temperature. Our study presents candidate genes and SNP markers associated with growth influenced by carbohydrate and temperature, providing basis for the development of M. salmoides strain that better accepts carbohydrate diets at varying temperature. [ABSTRACT FROM AUTHOR]

This study aimed to explore the potential association between Endothelin type A receptor (EDNRA) genetic polymorphisms and susceptibility to large artery atherosclerotic stroke (LAA), as well as the involvement of inflammation mechanisms. We recruited Han Chinese patients with LAA and age- and sex-matched controls. The distribution of alleles and genotypes for 16 single nucleotide polymorphisms (SNPs) in EDNRA was analyzed using dominant, recessive, and co-dominant genetic models between cases and controls. We quantified the mRNA and protein levels of EDNRA and NLRP3 genes, and concentrations of inflammatory factors (TNFα, IL-1β, IL-6, IL-8, IL-10, IL-18, and CCL18) in peripheral blood samples randomly selected from cases and controls. We also investigated the relationship between these SNPs, gene expression patterns and inflammatory factor levels. A total of 428 LAA cases and 434 controls were enrolled in this study. The results showed that rs5343 TT genotype of EDNRA was significantly associated with an increased risk of LAA (OR = 3.243, 95%CI = 1.608–6.542, P = 0.001). It also demonstrated a significant upregulation level of NLRP3 as well as higher concentrations of IL-10, IL-18, and CCL-18 in cases compared to controls. Besides, we discovered that the EDNRA polymorphisms were linked to NLRP3, IL-6, IL-10, and IL-18 levels in cases. There existed a positive correlation between EDNRA transcription levels and both NLRP3 transcript levels (r = 0.437, p < 0.001) and IL-18 concentrations (r = 0.212, p < 0.001). EDNRA is linked to susceptibility of LAA. This association may be attributed to the NLRP3-mediated inflammatory pathway. [ABSTRACT FROM AUTHOR]

Background : Garuga Roxb. is a genus endemic to southwest China and other tropical regions in Southeast Asia facing risk of extinction due to the loss of tropical forests and changes in land use. Conducting a genome survey of G. forrestii contribute to a deeper understanding and conservation of the genus. Results: This study utilized genome survey of G. forrestii generated approximately 54.56 GB of sequence data, with approximately 112 × coverage. K-mer analysis indicated a genome size of approximately 0.48 GB, smaller than 0.52GB estimated by flow cytometry. The heterozygosity is of about 0.54%, and a repeat rate of around 51.54%. All the shotgun data were assembled into 339,729 scaffolds, with an N50 of 17,344 bp. The average content of guanine and cytosine was approximately 35.16%. A total of 330,999 SSRs were detected, with mononucleotide repeats being the most abundant at 70.16%, followed by dinucleotide repeats at 20.40%. We conducted a preliminary ploidy assessment using Smudgeplot and observed a clear bimodal distribution in G. forrestii at 1/2 relative coverage depth and total coverage depth (2n), suggesting a potential diploid genome structure. A pseudo chromosome of G. forrestii and a gemone of Boswellia sacra were used as reference genome to perform a primer population resequencing analysis within three Garuga species. Principal component analysis (PCA) indicated three distinct groups, but genome wide phylogenetics represented conflicting both between the dataset of different reference genomes and between maternal and nuclear genome. Conclusion: In summary, the genome of G. forrestii is small, and the phylogenetic relationships within the Garuga genus are complex. The genetic data presented in this study holds significant value for comprehensive whole-genome analyses, the evaluation of population genetic diversity, investigations into adaptive evolution, the advancement of artificial breeding efforts, and the support of species conservation and restoration initiatives. Ultimately, this research contributes to reinforcing the conservation and management of natural ecosystems, promoting biodiversity conservation, and advancing sustainable development. [ABSTRACT FROM AUTHOR]

Identifying genetic regions and candidate genes that influence milk production traits is critical for understanding genetic inheritance and improving both the quality and quantity of milk in dairy cattle. Crossbred dairy cattle significantly contribute to increasing milk production and ensuring food security in the middle‐ and high‐altitude regions of Ethiopia. However, the genetic architecture underlying their milk yield and composition traits has not yet been thoroughly investigated. This study conducted a genome‐wide association study (GWAS) on 308 crossbred dairy cows from central, northeastern, and southern Ethiopia to identify genetic markers associated with key milk production traits. Using high‐density SNP chip data and the fixed and random model circulating probability unification (Farm CPU) method via the Memory‐efficient, Visualization‐enhanced, and Parallel‐accelerated R package (rMVP) (Version 1.0.7.), we analyzed traits including test‐day milk yield (TDMY), total protein (TP), casein (CN), whey (W), protein percentage (P), fat percentage (F), lactose percentage (L), total solids (TS), density (D), solids‐not‐fat (SNF), salt (S), and freezing point (FP). This study identified 16 significant SNPs associated with these traits, including rs41661899 on Chromosome 6, which was significantly associated with both TP and W, and rs42274954 on Chromosome 12, which was significantly associated with CN. Eight SNPs, such as rs43560693, rs109098713, rs111029661, rs134499665, rs133908307, rs133627532, rs42098411, and rs110066280, were found across multiple chromosomes (8, 10, 14, 15, 19, 21, 26, and 28, respectively) and were significantly associated with milk P. Additionally, SNPs rs110844447 and rs135995768 on Chromosomes 6 and 14 were significantly associated with D and FP, respectively. Three SNPs, including rs109564259, rs135552551, and rs41620904 on Chromosomes 6, 11, and 24, were significant associations with S. Candidate genes identified near and within these SNPs include TRAM1L1, DIAPH3, PEBP4, WDR89, BCAS3, RALGAPA1, HABP2, NRG3, HPSE, PCDH7, LINC02579, TRNAS‐GGA, and OR5CN1P. These findings enhance our understanding of the genetic architecture of milk‐related traits in Ethiopian dairy cattle and highlight the potential for marker‐assisted selection to improve milk production and composition in breeding programs. [ABSTRACT FROM AUTHOR]

Introduction and objectives: Recent studies have indicated a potential association of hypertension with Hashimoto's thyroiditis (HT) and other autoimmune diseases, yet the impact of antihypertensive drugs on HT risk is not well understood. Methods: We employed a drug-target Mendelian randomization approach to investigate the prolonged impact of 9 classes of antihypertensive medications on HT susceptibility in European and Asian populations. Genetic variants close to or within genes associated with the drug targets and systolic blood pressure (SBP) were utilized to mimic the effects of antihypertensive medications. We focused on drugs linked to a lower risk of coronary artery disease for our main analysis. We gathered genetic data on SBP and HT risk from comprehensive genomewide association studies available for European and Asian groups. For a supplementary analysis, we used expression quantitative trait loci (eQTLs) related to drug target genes as proxies. Results: Our analysis revealed that the use of calcium channel blockers (CCBs) is linked to a reduced risk of HT in both European (OR [95% CI]: 0.96 [0.95 to 0.98] per 1 mmHg decrease in SBP; p = 3.51×10-5) and Asian populations (OR [95% CI]: 0.28 [0.12, 0.66]; p = 3.54×10-3). Moreover, genetically mimicking the use of loop diuretics (OR [95% CI]: 0.94 [0.91, 0.97]; p = 3.57×10-5) and thiazide diuretics (0.98 [0.96, 0.99]; p = 3.83×10-3) showed a significant association with a decreased risk of HT only in European population. These outcomes were confirmed when eQTLs were employed to represent the effects of antihypertensive medications. Conclusion: The study suggests that CCBs and diuretics could potentially reduce the risk of HT in different populations. Additional research is needed to assess the feasibility of repurposing antihypertensive medications for the prevention of HT. [ABSTRACT FROM AUTHOR]

Simple Summary: The genetic polymorphisms in the ovocalyxin-32 gene were studied in the present work with regard to egg quality traits in indigenous chicken populations. In the same investigation, based on exons 1 and 6, the frequencies of G/T and A/G SNPs regarding the Hardy–Weinberg equilibrium (HWE) and their role in egg quality were determined. The T allele of the G/T SNP in exon 1 was associated with thinner shells and lower shell strength, while the A/G SNP in exon 1 resulted in eternal eggs with thicker shells in AG and AA genotypes. Regarding this, the A/G SNP in exon 6 was able to enhance shell and yolk quality in AG genotypes. These SNPs could be considered candidate genetic markers for marker-assisted selection (MAS) focusing on egg quality improvement, which has additive and dominance genetic effects on phenotypic variation. This study sought to evaluate the genetic variations of the ovocalyxin-32 gene and its association with egg quality traits in indigenous chicken populations, focusing on exons 1 and 6. Genotype frequencies of SNPs (G/T and A/G) within these exons were assessed for their conformity to the Hardy–Weinberg equilibrium (HWE) across several strains. While most strains exhibited close adherence to HWE expectations, some like light-brown and gray strains indicated substantial discrepancies, particularly for the TT genotype, which points towards the possible effects of genetic drift as well as selection pressures. This study also analyzed the influence of such SNPs on egg quality parameters. A thinner eggshell, reduced shell weight, and decreased breaking strength were associated with the G/T SNP in exon 1, suggesting a likely negative effect on egg quality in T allele carriers. Conversely, the AG genotype displayed better performance in shell thickness, weight and egg weight in the A/G SNP in exon 1, whilst yolk height was best improved by the AA genotype compared to breaking strength. For instance, in exon 6, the A/G SNP enhanced the shell and yolk quality among AG genotypes, while the CC genotype resulted in better eggshell characteristics with enlarged yolks because the C/T SNP was linked. Nonetheless, there were no significant deviations from the HWE despite these associations, which suggested that most breeds had a stable genetic background. Further, considering SNPs' additive and dominant effects in this research, it was indicated that additive effects account for phenotypic expressions given by the G/T SNP located at exon 1. In contrast, significant additive and dominant effects were observed under the A/G SNP situated at the exon. Generally, it therefore could be concluded from this study that specific SNPs within the ovocalyxin-32 gene may act as good markers for marker-assisted selection (MAS) that can improve desired characteristics—such as those of egg quality—in indigenous chicken breeds. This study demonstrated that both additive and dominance effects must be taken into account when performing genetic analyses, thereby emphasizing the complexity of phenotypic variation caused by genetic mechanisms in native chicken races. [ABSTRACT FROM AUTHOR]

Simple Summary: Expression quantitative trait locus (eQTL) analysis is crucial in revealing the genetic basis of complex traits, advancing the study of human diseases, optimizing the breeding of agricultural plants and animals, and gaining a deeper understanding of specific biological processes. The conventional analysis involves correlating genetic variants from whole-genome sequencing (WGS) data and gene expression, but to improve the power of eQTL detection, it is often necessary to expand the sample size as far as possible, ranging from hundreds to thousands. Large sample sizes for WGS are extremely costly, and this bottleneck is particularly evident in economically important agricultural animals. In contrast, the advantages of eQTL analyses from transcriptome data are obvious: cost-effective, simultaneous acquisition of variants and expression information. We propose to use transcriptome data alone for SNP calling and kmer generation, and then association analysis with gene expression. Here, 87 SNP-based and 35 kmer-based association results were obtained. Subsequently, comparison and validation of these two results revealed that they each have their own strengths and can complement each other, which promotes in-depth exploration of the regulatory relationship between genetic variants and gene expression. Traditional expression quantitative trait locus (eQTL) mapping associates single nucleotide polymorphisms (SNPs) with gene expression, where the SNPs are derived from large-scale whole-genome sequencing (WGS) data or transcriptome data. While WGS provides a high SNP density, it also incurs substantial sequencing costs. In contrast, RNA-seq data, which are more accessible and less expensive, can simultaneously yield gene expressions and SNPs. Thus, eQTL analysis based on RNA-seq offers significant potential applications. Two primary strategies were employed for eQTL in this study. The first involved analyzing expression levels in relation to variant sites detected between populations from RNA-seq data. The second approach utilized kmers, which are sequences of length k derived from RNA-seq reads, to represent variant sites and associated these kmer genotypes with gene expression. We discovered 87 significant association signals involving eGene on the basis of the SNP-based eQTL analysis. These genes include DYNLT1, NMNAT1, and MRLC2, which are closely related to neurological functions such as motor coordination and homeostasis, play a role in cellular energy metabolism, and function in regulating calcium-dependent signaling in muscle contraction, respectively. This study compared the results obtained from eQTL mapping using RNA-seq identified SNPs and gene expression with those derived from kmers. We found that the vast majority (23/30) of the association signals overlapping the two methods could be verified by haplotype block analysis. This comparison elucidates the strengths and limitations of each method, providing insights into their relative efficacy for eQTL identification. [ABSTRACT FROM AUTHOR]

Autoimmune polyglandular syndrome (APS) comprises a complex association of autoimmune pathological conditions. APS Type 1 originates from loss-of-function mutations in the autoimmune regulator (AIRE) gene. APS2, APS3 and APS4 are linked to specific HLA alleles within the major histocompatibility complex, with single-nucleotide polymorphisms (SNPs) in non-HLA genes also contributing to disease. In general, variability in the AIRE locus and the presence of heterozygous loss-of-function mutations can impact self-antigen presentation in the thymus. In this study, whole-exome sequencing (WES) was performed on a sixteen-year-old female APS3A/B patient to investigate the genetic basis of her complex phenotype. The analysis identified two variants (p.Arg111Trp and p.Thr101Ile) of the hepatitis A virus cell receptor 2 gene (HAVCR2) encoding for the TIM-3 (T cell immunoglobulin and mucin domain 3) protein. These variants were predicted, through in silico analysis, to impact protein structure and stability, potentially influencing the patient's autoimmune phenotype. While confocal microscopy analysis revealed no alteration in TIM-3 fluorescence intensity between the PBMCs isolated from the patient and those of a healthy donor, RT-qPCR showed reduced TIM-3 expression in the patient's unfractionated PBMCs. A screening conducted on a cohort of thirty APS patients indicated that the p.Thr101Ile and p.Arg111Trp mutations were unique to the proband. This study opens the pathway for the search of TIM-3 variants possibly linked to complex autoimmune phenotypes, highlighting the potential of novel variant discovery in contributing to APS classification and diagnosis. [ABSTRACT FROM AUTHOR]

Although farmed shrimp contribute to global food security and foreign exchange, the development of genomic resources such as single nucleotide polymorphisms for these shrimp is at slow pace. Public genomic resources like Genbank and Ensembl do not host polymorphism data for shrimp. Therefore, through analysis of the short RNA‐sequence reads generated on pooled‐individual samples, using the latest bioinformatics tools, this study documents data of single nucleotide polymorphisms in two shrimp species, Penaeus vannamei and Penaeus indicus, and presents these data in a searchable user‐friendly webtool, the dbVAST. The webtool also hosts the information about the possible effects that the variations could have on the functioning of the coded protein. This is the first open‐access SNP database of shrimp intended to benefit researchers and academicians by showcasing variations in shrimp transcripts. [ABSTRACT FROM AUTHOR]

Ethyl methanesulfonate (EMS)-induced mutagenesis is a prominent method for generating plant mutants, often resulting in chimera plants; however, their transcriptional and genetic characteristic remain elusive. In this investigation, chimera pea (Pisum sativum L.) specimens, labeled GY1 and GY2, exhibiting a distinctive phenotype with yellow and green leaves were meticulously cultivated via sequential double EMS mutagenesis. The observed color disparity between the yellow and green leaves was attributed to a significant reduction in chlorophyll content coupled with heightened lutein levels in both chimeric variants. Transcriptome profiling revealed the enrichment of differentially expressed genes in both GY1 and GY2, specifically implicating Kyoto Encyclopedia of Genes and Genomes pathways linked to amino acid biosynthesis and ribosome development, alongside Gene Ontology (GO) biological processes linked with stress response mechanisms. Few structural genes associated with chlorophyll and lutein biosynthesis exhibited discernible differential expression. Despite these functional similarities, distinctive nuances were evident between specimens, with GY1 exhibiting enrichment in GO pathways related to chloroplast development and GY2 showing enrichment for ribosome development pathways. Single-nucleotide polymorphism (SNP) analysis uncovered a shared pool of 599 and 598 polymorphisms in the yellow and green leaves of GY1 and GY2, respectively, likely stemming from the initial EMS mutagenesis step. Further investigation revealed an increased number of unique SNPs in the yellow leaves following the second EMS application, whereas the green leaves exhibited sparse and unique SNP occurrences, suggestive of potential evasion from secondary mutagenesis. This inherent genetic variability underpins the mechanism underlying the formation of chimera plants. Predominant base mutations induced by EMS were characterized by G/A and C/T transitions, constituting 74.1% of the total mutations, aligning with established EMS mutation induction paradigms. Notably, genes encoding the eukaryotic translation initiation factor eIIso4G and the ubiquitin ligase RKP, known to modulate leaf color in model plants, harbored two SNPs in the yellow leaves of both GY1 and GY2, implicating their putative role in the yellow leaf phenotype. Collectively, this study provides novel insights into the transcriptional and genetic characteristics of chimera plants via EMS-induced mutagenesis. [ABSTRACT FROM AUTHOR]

Background: Behcet's syndrome (BS) is a variable-vessel vasculitis characterized by hyperactive innate immunity. The nuclear factor kappa B (NFKB) pathway is involved in the regulation of inflammatory responses including innate and adaptive immune responses. BS could be associated with NFKB hyperactivation. We aimed to study the association between the NFKB1 A > G (rs4648068) single-nucleotide polymorphism (SNP) and BS in Egyptian patients, in comparison to healthy controls, and to correlate the presence of rs4648068 SNP with the different activity domains of the disease. After ethical committee approval (Faculty of Medicine, Cairo University, Egypt, code MD-228-2022), the International Study Group Criteria for Behçet's Disease (ISG) criteria was used to recruit 60 BS patients, and the activity of the disease was assessed using Behcet's Disease Current Activity Form (BDCAF) and the Behcet Syndrome Activity Score (BSAS). Another 60 matched controls were recruited. DNA extraction was done followed by PCR amplification to detect the target SNP. Results: The GG genotype was significantly higher in BS versus controls (21.7% and 5%, respectively, p value = 0.015). Also, the G allele was significantly higher in BS versus controls (43.3% and 30%, respectively, p value = 0.033). Of the whole activity domains, only arthralgia was found to be significantly correlated with rs4648068 SNP. Conclusion: NFKB1 rs4648068 A > G SNP increases the risk of developing BS. Among patients with BS, the GG genotype is protective against developing arthralgia. There is no statistically significant relation between rs4648068 SNP and either other activity domains of BS or the different activity scores of the disease. [ABSTRACT FROM AUTHOR]

Background: Anadara granosa, commonly known as the blood clam, exhibits the unusual characteristic of having red blood among invertebrates. There is significant individual variation in blood color intensity among blood clams; individuals with vibrant red blood are deemed healthier and exhibit stronger stress resistance. However, the molecular basis underlying these red blood traits (RBTs) remains poorly understood. Results: In this study, we performed genome-wide association studies (GWAS) in a population of 300 A. granosa individuals, focusing on RBTs as measured by hemoglobin concentration (HC), total hemocyte count (THC), and heme concentration (HEME). Our analysis identified 18 single nucleotide polymorphisms (SNPs) correlated with RBTs, subsequently selected 117 candidate genes within a 100 kb flanking region of these SNPs, potentially involved in the RBTs of A. granosa. Moreover, we discovered two haplotype blocks specifically associated with THC and HEME. Further analysis revealed eight genes (Septin7, Hox5, Cbfa2t3, Avpr1b, Hhex, Eif2ak3, Glrk, and Rpl35a) that significantly influence RBTs. Notably, a heterozygous A/T mutation in the 3'UTR of Cbfa2t3 was found to promote blood cell proliferation. These genes suggest that the hematopoietic function plays a significant role in the variability of RBTs in A. granosa. Conclusions: Our findings reveal a conservation of the regulatory mechanisms of RBTs between blood clams and vertebrates. The results not only provide a scientific basis for selective breeding in blood clams, but also offer deeper insights into the evolutionary mechanisms of RBTs in invertebrates. [ABSTRACT FROM AUTHOR]

This study investigated the minichromosome maintenance 6 (MCM6) rs4988235 polymorphism in professional football players, comparing genotype and allele frequencies with a sedentary control group. The control group comprised 64 participants with no history of athletic activity, while the athlete group included 20 football players. DNA extraction from blood samples was performed using a PureLink DNA isolation kit, following the manufacturer's instructions. Real-Time PCR was employed to analyze the MCM6 rs4988235 polymorphism in the isolated DNA. Statistical analysis of the acquired data was conducted using chi-square analysis via IBM SPSS 21.0 software (IBM Statistical Package for Social Sciences Corp., Armonk, NY, USA). A p-value less than 0.05 was considered statistically significant. The CC genotype was absent in all football players. Conversely, CT (10%) and TT (90%) genotypes were identified in 2 and 18 individuals, respectively. In the control group, the distribution of genotypes was as follows: CC (0%), CT (17, 26.6%), and TT (47, 73.4%). The C allele frequency was 5% (2 individuals) in football players and 13.28% (17 individuals) in the control group. The T allele frequency was 95% (38 individuals) in football players and 86.72% (111 individuals) in the control group. No statistically significant differences were observed between the football players and the control group regarding genotype (p = 0.122) or allele frequencies (p = 0.149). [ABSTRACT FROM AUTHOR]

Erect panicles with enhanced grain numbers can rationally utilize solar energy for dry matter accumulation. Only in japonica cultivars an inactive natural nonsense mutant allele of DEP1 has been reported to pleiotropically improve panicle architecture, nitrogen use efficiency, nitrogen and dry matter translocation and strength of the stem. Genomic sequence comparison of DEP1 in indica, aus and aromatic genotypes of West Bengal led to the identification of four natural allelic variants based on three single nucleotide polymorphisms (SNPs) on intron 1, two SNPs on exon 5 and two deletions on intron 2. Among them, a yield favourable missense mutant allele of DEP1 with two amino acid substitutions from Patnai 23 has been identified, and an allele‐specific co‐dominant marker based on the SNP (A/G) at 333rd position of exon 5 was designed. Assessment of DEP1Patnai 23 allele for yield improvement was examined in RILs and NILs developed from Patnai23 × N22 as N22 carries wild‐type allele. The relative abundance of DEP1 transcript in young panicles was twice as high in Patnai 23 than in N22. RIL‐DEP1Patnai 23 and NIL‐DEP1Patnai 23 showed enhanced grain number per panicle and total yield per plant compared to RIL‐DEP1N22 and NIL‐DEP1N22 allele. This newly identified DEP1 allele and marker will accelerate MAS to improve rice yield precisely. [ABSTRACT FROM AUTHOR]

Aim: To clarify the association between genetic factors related to angiogenesis and feeling of incomplete bladder emptying among older community‐dwelling individuals. Method: A cross‐sectional study of 1762 (607 men and 1155 women) older Japanese individuals aged 60–79 years with data on rs3025020 was conducted, because vascular endothelial growth factor (VEGF), which contributes to the progression of angiogenesis, has been reported to be positively associated with the minor allele (T) of polymorphism rs3025020. Results: In the study population, 155 (103 men and 52 women) had feeling of incomplete bladder emptying. With rs3025020 (C/C) as the reference group, rs3025020 (T/T) was associated with a significantly higher odds ratio (OR) for feeling of incomplete bladder emptying. The adjusted ORs and 95% confidence intervals were 3.01(1.53, 5.93) in men and 2.48 (1.09, 5.66) in women, respectively. Conclusion: VEGF polymorphism rs3025020 was associated with feeling of incomplete bladder emptying among older community‐dwelling individuals. Development of angiogenesis could be associated with feeling of incomplete bladder emptying in older individuals. Geriatr Gerontol Int 2024; 24: 1039–1044. [ABSTRACT FROM AUTHOR]

Hollowness is a physiological disorder that frequently occurs during the growth and postharvest storage phases of fleshy radish roots, significantly diminishing quality, yield, and marketability. However, the molecular mechanism for hollowness remains elusive. To identify the QTLs and potential candidate genes for hollowness tolerance in radish, F2 and BC1 populations were constructed from hollowness-tolerant radish (C16) and hollowness-sensitive radish (C17) in the present study. Genetic analysis indicated that hollowness tolerance may be governed by two independent recessive genes. By employing bulked segregant analysis sequencing (BSA-seq), two significant candidate genomic intervals were pinpointed on chromosomes R04 (960 kb, 6.48–7.44 Mb) and R05 (600 kb, 31.44–32.04 Mb), which together harbor 107 annotated genes. Transcriptomic sequencing revealed that the downregulated differentially expressed genes (DEGs) were significantly enriched in biological processes related to cell death and the response to water stress, whereas the upregulated DEGs were significantly associated with the chitin catabolic process and the cell wall macromolecule metabolic process. A total of 46 intersecting genes were identified among these DEGs within the genomic intervals of interest. One gene with high expression (Rsa10025345) and two with low expression (Rsa10025320 and Rsa10018106) were detected in the tolerant variety C16. Furthermore, a SNP within Rsa10025320 resulting in an amino acid change (A188E) was characterized through sequence variation observed in both BSA-seq and RNA-seq data and further developed as a derived cleaved amplified polymorphic sequence (dCAPS) marker. Our study reveals potential target genes for tolerance to hollowness and paves the way for marker-assisted breeding of hollowness tolerance in red-skinned radishes. [ABSTRACT FROM AUTHOR]

Beclin 1 protein encoded by the BECN1 gene plays a critical role in the autophagy pathway which is utilized by the Hepatitis B virus (HBV) for its replication. HBV is known for the subversion of the host's autophagy process for its multiplication. The aim of this study was to determine the role of BECN1 intronic variants in HBV susceptibility. Intronic region variant rs9890617 was analyzed using Human splicing finder v3.1 and was found to alter splicing signals. A total of 712 individuals (494 HBV infected and 218 healthy controls) were recruited in the study and genotyped by applying Polymerase Chain Reaction–Restriction Fragment Length Polymorphism (PCR–RFLP). Statistical analysis revealed that the mutant allele T of rs9890617 was significantly associated with the overall disease risk in the allelic model (OR 1.41; 95%CI 1.00–1.99, p = 0.04). On stratifying the data based on the different stages of HBV infection, the mutant genotype showed a significant association with the chronic group in allelic (OR 1.62; 95%CI 1.11–2.39, p = 0.01), dominant (OR 1.64; 95%CI 1.07–2.52, p = 0.02), and co-dominant (OR 1.55; 95%CI 1.00–2.40, p = 0.04) models. Overall, this is the first study regarding beclin 1 variant rs9890617 and we found a significant association of the mutant T allele with the genetic predisposition to HBV infection. [ABSTRACT FROM AUTHOR]

Suicide is a leading cause of death worldwide. Suicide ideation (SI) is a known risk factor for suicide behaviour (SB). The current psychobiology and genetic predisposition to SI and SB are poorly defined. Despite convincing relevance of a genetic background for SI, there is no current implementable knowledge about the genetic makeup that identifies subjects at risk for it. One of the possible reasons for the absence of a clear-cut evidence is the polygenetic nature of SI along with the very large sample sizes that are needed to observe significant genetic association result. The CATIE sample was instrumental to the analysis. SI was retrieved as measured by the Calgary test. Clinical possible covariates were identified by a nested regression model. A principal component analysis helped in defining the possible genetic stratification factors. A GWAS analysis, polygenic risk score associated with a random forest analysis and a molecular pathway analysis were undertaken to identify the genetic contribution to SI. As a result, 741 Schizophrenic individuals from the CATIE were available for the genetic analysis, including 166,325 SNPs after quality control and pruning. No GWAS significant result was found. The random forest analysis conducted by combining the polygenic risk score and several clinical variables resulted in a possibly overfitting model (OOB error rate < 1%). The molecular pathway analysis revealed several molecular pathways possibly involved in SI, of which those involved in microglia functioning were of particular interest. A medium-small sample of SKZ individuals was analyzed to shed a light on the genetic of SI. As an expected result from the underpowered sample, no GWAS positive result was retrieved, but the molecular pathway analysis indicated a possible role of microglia and neurodevelopment in SI. [ABSTRACT FROM AUTHOR]

Genetic variants can affect gene expression by altering the level of N6-methyladenosine (m6A) modifications. A better understanding of the association of these genetic variants with susceptibility to cervical cancer (CC) can promote advances in disease screening and treatment. Genome-wide identification of m6A-associated functional SNPs for CC was performed using the TCGA and JENGER databases, incorporating the data from RNA-seq and MeRIP-seq. The screened risk-associated SNP rs1059288 (A>G), which is located in the 3′ UTR of TAPBP, was further validated in a case–control study involving 921 cases and 1077 controls. The results revealed a significant association between rs1059288 and the risk of CC (OR 1.48, 95% CI 1.13–1.92). Mechanistically, the presence of the risk G allele of rs1059288 was associated with increased m6A modification of TAPBP compared with the A allele. This modification was facilitated by the m6A methyltransferase METTL14 and the reading protein YTHDF2. Immunohistochemical staining of tissue microarrays containing 61 CC and 45 normal tissues showed an overexpression of TAPBP in CC. Furthermore, the upregulation of TAPBP promoted the growth and migration of CC cells as well as tumor-forming ability, inhibited apoptosis, and conferred increased resistance to commonly used chemotherapeutic drugs such as bleomycin, cisplatin, and doxorubicin. Knockdown of TAPBP inhibited the JAK/STAT/MICB signaling pathway in CC cells and upregulated certain immune genes including ISG15, IRF3, PTPN6, and HLA-A. These findings offer insights into the involvement of genetic variations in TAPBP in the development and progression of CC. [ABSTRACT FROM AUTHOR]

Copyright of Acta Agronomica Sinica is the property of Crop Science Society of China and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)