McAN: a novel computational algorithm and platform for constructing and visualizing haplotype networks.

Haplotype networks are graphs used to represent evolutionary relationships between a set of taxa and are characterized by intuitiveness in analyzing genealogical relationships of closely related genomes. We here propose a novel algorithm termed McAN that considers mutation spectrum history (mutations in ancestry haplotype should be contained in descendant haplotype), node size (corresponding to sample count for a given node) and sampling time when constructing haplotype network. We show that McAN is two orders of magnitude faster than state-of-the-art algorithms without losing accuracy, making it suitable for analysis of a large number of sequences. Based on our algorithm, we developed an online web server and offline tool for haplotype network construction, community lineage determination, and interactive network visualization. We demonstrate that McAN is highly suitable for analyzing and visualizing massive genomic data and is helpful to enhance the understanding of genome evolution. Availability: Source code is written in C/C++ and available at https://github.com/Theory-Lun/McAN and https://ngdc.cncb.ac.cn/biocode/tools/BT007301 under the MIT license. Web server is available at https://ngdc.cncb.ac.cn/bit/hapnet/. SARS-CoV-2 dataset are available at https://ngdc.cncb.ac.cn/ncov/. Contact: songshh@big.ac.cn (Song S), zhaowm@big.ac.cn (Zhao W), baoym@big.ac.cn (Bao Y), zhangzhang@big.ac.cn (Zhang Z), ybxue@big.ac.cn (Xue Y).

GWAS Atlas: an updated knowledgebase integrating more curated associations in plants and animals.

GWAS Atlas (https://ngdc.cncb.ac.cn/gwas/) is a manually curated resource of genome-wide genotype-to-phenotype associations for a wide range of species. Here, we present an updated implementation of GWAS Atlas by curating and incorporating more high-quality associations, with significant improvements and advances over the previous version. Specifically, the current release of GWAS Atlas incorporates a total of 278,109 curated genotype-to-phenotype associations for 1,444 different traits across 15 species (10 plants and 5 animals) from 830 publications and 3,432 studies. A collection of 6,084 lead SNPs of 439 traits and 486 experiment-validated causal variants of 157 traits are newly added. Moreover, 1,056 trait ontology terms are newly defined, resulting in 1,172 and 431 terms for Plant Phenotype and Trait Ontology and Animal Phenotype and Trait Ontology, respectively. Additionally, it is equipped with four online analysis tools and a submission platform, allowing users to perform data analysis and data submission. Collectively, as a core resource in the National Genomics Data Center, GWAS Atlas provides valuable genotype-to-phenotype associations for a diversity of species and thus plays an important role in agronomic trait study and molecular breeding.

Coronavirus GenBrowser for monitoring the transmission and evolution of SARS-CoV-2.

Genomic epidemiology is important to study the COVID-19 pandemic, and more than two million severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomic sequences were deposited into public databases. However, the exponential increase of sequences invokes unprecedented bioinformatic challenges. Here, we present the Coronavirus GenBrowser (CGB) based on a highly efficient analysis framework and a node-picking rendering strategy. In total, 1,002,739 high-quality genomic sequences with the transmission-related metadata were analyzed and visualized. The size of the core data file is only 12.20 MB, highly efficient for clean data sharing. Quick visualization modules and rich interactive operations are provided to explore the annotated SARS-CoV-2 evolutionary tree. CGB binary nomenclature is proposed to name each internal lineage. The pre-analyzed data can be filtered out according to the user-defined criteria to explore the transmission of SARS-CoV-2. Different evolutionary analyses can also be easily performed, such as the detection of accelerated evolution and ongoing positive selection. Moreover, the 75 genomic spots conserved in SARS-CoV-2 but non-conserved in other coronaviruses were identified, which may indicate the functional elements specifically important for SARS-CoV-2. The CGB was written in Java and JavaScript. It not only enables users who have no programming skills to analyze millions of genomic sequences, but also offers a panoramic vision of the transmission and evolution of SARS-CoV-2.

Vitamin D May Play a Vital Role in Alleviating Type 2 Diabetes Mellitus by Modulating the Ferroptosis Signaling Pathway.

Ferroptosis is an iron-dependent death mode mediated by the aggregation of lipid peroxides and lipid-reactive oxygen species. It is characterized by iron-dependent lipid peroxide accumulation accompanied by oxidoreductase deficiency. Pancreatic beta cell dysfunction and insulin resistance are two major causes of type 2 diabetes mellitus (T2DM). Iron accumulation and metabolism may play a role in the development of T2DM. The molecular mechanism of ß cell apoptosis and iron death in T2DM were reviewed. In addition, we discuss recent insights on the relationship between the trace element iron and apoptosis of ß cells in T2DM.

Ultrafast protein digestion using an immobilized enzyme reactor following high-resolution mass spectrometry analysis for rapid identification of abrin toxin.

Abrin toxin, highly dangerous with an estimated human lethal dose of 0.1-1 µg per kg body weight, has attracted much attention regarding criminal and terroristic misuse over the past decade. Therefore, developing a rapid detection method for abrin toxin is of great significance in the field of biosecurity. In this study, based on the specific dissociation method of an immobilized enzyme reactor, the trypsin immobilized reactor Fe3O4@CTS-GA-Try was prepared to replace free trypsin, and the immobilized enzyme digestion process was systematically investigated and optimized by using bovine serum albumin as the simulant of abrin. After 5 min one-step denaturation and reduction, a satisfactory peptide number and coverage were yielded with only 15 s assisted by an ultrasound probe to identify model proteins. Subsequently, abrin was rapidly digested using the established method, resulting in a stable and highly reproducible characteristic peptide number of 39, which can be analyzed by nanoelectrospray ionization coupled with high-resolution mass spectrometry. With the acquisition mode of full MS scan coupled with PRM, not only MS spectroscopy of total abrin peptides but also the corresponding MS/MS spectroscopy of specific abrin peptides can achieve the characteristic detection of abrin toxin and its different isoforms in less than 10 minutes, with high repeatability. This assay provides a universal platform and has great potential for the development of on-site detection and rapid mass spectrometric analysis techniques for macromolecular protein toxins and can further be applied to the integrated detection of chemical and biological agents.

Mogroside â ¤ Inhibits M1 Polarization and Inflammation of Diabetic Mouse Macrophages via p38 MAPK/NF-Κb Signaling Pathway.

BACKGROUND: Mogroside V (MV) has anti-inflammatory properties. However, its impact on macrophage polarization under diabetic condition is yet unclear. This study aimed to investigate effects and underlying mechanisms of MV on inflammatory response and M1 polarization of bone marrow-derived macrophages (BMDMs) from diabetic mice. METHODS: BMDMs were isolated from normal and diabetic C57BL/6 mice. LPS and IFN-γwere used to produce M1-polarized BMDMs. MV treatment was administered throughout the M1 polarization process with or without SB203580 or PDTC. Surface markers CD11b, F4/80 and CD86 of macrophages were identified using flow cytometry or immunofluorescence staining. Inflammatory cytokines IL-1ß and IL-6 and phosphorylation levels of p65 and p38 were examined by western blot. RESULTS: High glucose increased proportion of CD11b+F4/80+CD86+ cells, protein levels of inflammatory cytokines IL-1ß and IL-6 and phosphorylation levels of p65 and p38 in LPS+IFN-γ-induced BMDMs, while they were decreased upon MV treatment. Additionally, these effects were further downregulated when MV was co-added with SB203580 or PDTC. CONCLUSIONS: MV suppressed M1 macrophage polarization and inflammatory response, which was partially through NF-κB and p38 MAPK in LPS+IFN-γ induced BMDMs under high glucose condition, implying the potential of MV in treatment for inflammatory complications of diabetes.

Wogonin preconditioning of MSCs improved their therapeutic efficiency for colitis through promoting glycolysis.

Inflammatory bowel diseases (IBDs) are prevalent and debilitating diseases with limited clinical treatment strategies. Mesenchymal stem cell (MSCs) are pluripotent stem cells with self-renewal capability and multiple immunomodulatory effects, which make them a promising therapeutic approach for IBDs. Thus, optimization of MSCs regimes is crucial for their further clinical application. Wogonin, a flavonoid-like compound with extensive immunomodulatory and adjuvant effects, has been investigated as a potential pretreatment for MSCs in IBD treatment. In this study, we employed the DSS-induced acute colitis mouse model to compare the therapeutic effectiveness of MSCs in pretreated with or without wogonin and further explore the underlying mechanism. Compared to untreated MSCs, MSCwogonin (pretreated with wogonin) showed greater effectiveness in the treatment of colitis. Further experiments revealed that wogonin treatment activated the AKT signaling pathway, resulting in higher cellular glycolysis. Inhibition of AKT phosphorylation by perifosine not only decreased glycolysis but impaired the therapeutic efficiency of MSCwogonin. Consistent with these results, qPCR data indicated that wogonin treatment induced the expression of immunomodulatory molecules IL-10, IDO, and AGR1, which were reduced by perifosine. Together, our data demonstrated that wogonin preconditioning strategy further augmented the therapeutic efficacy of MSCs via promoting glycolysis, which should be a promising strategy for optimizing MSCs therapy in IBDs.

Vitamin D may alleviate pre-eclampsia by modulating the ferroptosis signalling pathway: A hypothesis based on recent literature.

Ferroptosis is a novel form of regulated cell death typically characterized by non-apoptotic, iron-dependent, and reactive accumulation of oxygen species. Recent studies have found that ferroptosis plays an important role in the pathophysiology of pre-eclampsia (PE). In order to find potential therapeutic targets for ferroptosis intervention and better prevent the occurrence and progression of PE, the signalling pathways that regulate ferroptosis need to be identified. In this article, we review the role of vitamin D in PE and the role of ferroptosis in PE. Based on recent literature, we propose the scientific hypothesis that vitamin D can alleviate preeclampsia by modulating the ferroptosis signalling pathway. The aim of this review is to understand the regulatory pathways of ferroptosis in PE and to identify potential therapeutic targets.

Narrative review of ferroptosis in obesity.

Obesity is widely recognized as a major global health problem caused by a chronic energy imbalance resulting from a combination of excess caloric intake and insufficient energy expenditure. Excessive energy intake and physical inactivity are traditional risk factors for obesity. Obesity is a risk factor for many diseases, including hypertension, diabetes and tumours. Recent studies have found a strong link between ferroptosis and obesity. Ferroptosis is an iron-dependent regulated cell death caused by iron overload and reactive oxygen species-dependent excessive accumulation of lipid peroxidation. Ferroptosis is involved in many biological processes, such as amino acid metabolism, iron metabolism and lipid metabolism. Some potential strategies to reduce the adverse effects of ferroptosis on obesity are suggested and future research priorities are highlighted.

Multiphase CT radiomics nomogram for preoperatively predicting the WHO/ISUP nuclear grade of small (< 4 cm) clear cell renal cell carcinoma.

BACKGROUND: Small (< 4 cm) clear cell renal cell carcinoma (ccRCC) is the most common type of small renal cancer and its prognosis is poor. However, conventional radiological characteristics obtained by computed tomography (CT) are not sufficient to predict the nuclear grade of small ccRCC before surgery. METHODS: A total of 113 patients with histologically confirmed ccRCC were randomly assigned to the training set (n = 67) and the testing set (n = 46). The baseline and CT imaging data of the patients were evaluated statistically to develop a clinical model. A radiomics model was created, and the radiomics score (Rad-score) was calculated by extracting radiomics features from the CT images. Then, a clinical radiomics nomogram was developed using multivariate logistic regression analysis by combining the Rad-score and critical clinical characteristics. The receiver operating characteristic (ROC) curve was used to evaluate the discrimination of small ccRCC in both the training and testing sets. RESULTS: The radiomics model was constructed using six features obtained from the CT images. The shape and relative enhancement value of the nephrographic phase (REV of the NP) were found to be independent risk factors in the clinical model. The area under the curve (AUC) values for the training and testing sets for the clinical radiomics nomogram were 0.940 and 0.902, respectively. Decision curve analysis (DCA) revealed that the radiomics nomogram model was a better predictor, with the highest degree of coincidence. CONCLUSION: The CT-based radiomics nomogram has the potential to be a noninvasive and preoperative method for predicting the WHO/ISUP grade of small ccRCC.

HpaII-assisted and linear amplification-enhanced isothermal exponential amplification fluorescent strategy for rapid and sensitive detection of DNA methyltransferase activity.

The detection of methyltransferase (MTase) activity is of great significance in methylation-related disease diagnosis and drug screening. Herein, a HpaII-assisted and linear amplification-enhanced exponential amplification strategy is proposed for sensitive and label-free detection of M.SssI MTase activity. The P1 probe contains self-complementary sequence 5'-CTAGCCGGCTAG-3' at 3'-terminal. After denaturation and annealing, P1 probes hybridize with itself to generate P1 duplexes. M.SssI MTase induces methylation of cytosine at 5'-CG-3' in P1 duplexes, and thus, HpaII fails to cleave at 5'-CCGG-3' due to methylation sensitivity, leaving P1 duplex intact. Then, these intact P1 duplexes are extended along 3'-terminal through Vent (exo-) DNA polymerase to generate dsDNA, which is recognized and nicked at the recognition sites by Nt.BstNBI, releasing two copies of primer X. Primer X hybridizes with X' at the amplification template T1 (X'-Y'-X') and then serves as primers to trigger the exponential amplification reaction (EXPAR). The point of inflection (POI) values of real-time fluorescence curves is linearly correlated with the logarithm of M.SssI MTase concentration in the range of 0.125 [Formula: see text] 8 U mL-1 with a low detection limit of 0.034 U mL-1. In the absence of M.SssI, P1 duplexes are cut by HpaII and separated into ssDNA under the executed temperature of EXPAR and thus unable to trigger the amplification. The strategy provides good selectivity against other types of MTases and protein and is able to detect M.SssI activity in human serum. Furthermore, the analytical method has the generality and can be extended to the analysis of other types of DNA MTases.

Synthesis, antitumor evaluation and computational study of thiazolidinone derivatives of dehydroabietic acid-based B ring-fused-thiazole.

In an attempt to search for new natural product-based antitumor agents, a series of novel thiazolidinone derivatives of dehydroabietic acid-based B ring-fused-thiazole were designed and synthesized. The primary antitumor tests showed that compounds 5 m exhibited almost the best inhibitory activity against the tested cancer cells. The computational study suggested NOTCH1, IGF1R, TLR4, and KDR were the core targets of the title compounds, and the IC50 of SCC9 and Cal27 is strong correlation with the binding ability of TLR4 and compounds.

Genome Variation Map: a worldwide collection of genome variations across multiple species.

The Genome Variation Map (GVM; http://bigd.big.ac.cn/gvm/) is a public data repository of genome variations. It aims to collect and integrate genome variations for a wide range of species, accepts submissions of different variation types from all over the world and provides free open access to all publicly available data in support of worldwide research activities. Compared with the previous version, particularly, a total of 22 species, 115 projects, 55 935 samples, 463 429 609 variants, 66 220 associations and 56 submissions (as of 7 September 2020) were newly added in the current version of GVM. In the current release, GVM houses a total of ∼960 million variants from 41 species, including 13 animals, 25 plants and 3 viruses. Moreover, it incorporates 64 819 individual genotypes and 260 393 manually curated high-quality genotype-to-phenotype associations. Since its inception, GVM has archived genomic variation data of 43 754 samples submitted by worldwide users and served >1 million data download requests. Collectively, as a core resource in the National Genomics Data Center, GVM provides valuable genome variations for a diversity of species and thus plays an important role in both functional genomics studies and molecular breeding.

Current Situation and Factors Influencing the Disaster Response Capability of Undergraduate Nursing Students.

Context: China is a country in which frequent natural disasters occur, but there is a lack of disaster education in Chinese institutions of higher education. Nursing students should receive disaster and emergency training in addition to their professional medical training. Objective: Our study aimed to investigate the current situation and disaster knowledge and training needs of nursing students and to increase the disaster first aid knowledge of college nursing students. Design: This was a cross-sectional study. Setting: The study took place at Taizhou University in Taizhou, Zhejiang, China. Participants: Participants were 443 full-time undergraduate nursing students at Taizhou University in China. Outcome Measures: This cross-sectional survey included a general questionnaire and an undergraduate nursing student disaster nursing ability questionnaire. Results: The survey results were from the first to the third year of study. Students were age 20 to 23 years, with an average age of 20.57±1.85 years. The largest group (35.44%) was made up of juniors. The scores of 3 dimensions of this survey were: dimension of physical and mental quality dimension (3.76 ± 0.71), theoretical system dimension (3.00 ± 0.57) and practical competencies dimension (2.89 ± 0.68). The ability to adapt to rescue needs at the disaster site and whether or not the student had heard of the term "disaster nursing" is the dominant factor affecting the disaster nursing skills of undergraduate nursing students. Conclusions: The disaster relief of male undergraduate nursing student seniors is more positive and their physical and mental quality is better than female nursing students, but knowledge of disaster prevention and practical capability in disaster relief remain weak and there is a lack of a corresponding theoretical system and competence in practical knowledge and skills. It is recommended that systematic disaster nursing education at universities be improved. Knowledge of disaster rescue should be taught systematically to improve awareness of disaster procedures and response and improve the level of practical skills in disaster rescue. We should learn from the educational approach and models of disaster nursing training in developed countries in order to establish a disaster nursing education model in China.

Protective effect of vitamin C against tetrachlorobenzoquinone-induced 5-hydroxymethylation-dependent apoptosis in HepG2 cells mainly via the mitochondrial apoptosis pathway.

Tetrachlorobenzoquinone (TCBQ) is an active metabolite of pentachlorophenol, and stimulates the accumulation of ROS to trigger apoptosis. The preventive effect of vitamin C (Vc) against TCBQ-induced apoptosis in HepG2 cells is unknown. And there is little known about TCBQ-triggered 5-hydromethylcytosine (5hmC)-dependent apoptosis. Here, we confirmed that Vc alleviated TCBQ-induced apoptosis. Through investigating the underlying mechanism, we found TCBQ downregulated 5hmC levels of genomic DNA in a Tet-dependent manner, with a particularly pronounced decrease in the promoter region, using UHPLC-MS-MS analysis and hydroxymethylated DNA immunoprecipitation sequencing. Notably, TCBQ exposure resulted in alterations of 5hmC abundance to ∼91% of key genes at promoters in the mitochondrial apoptosis pathway, along with changes of mRNA expression in 87% of genes. By contrast, 5hmC abundance of genes only exhibited slight changes in the death receptor/ligand pathway. Interestingly, the pretreatment with Vc, a positive stimulator of 5hmC generation, restored 5hmC in the genomic DNA to near-normal levels. More notably, Vc pretreatment further counter-regulated TCBQ-induced alteration of 5hmC abundance in the promoter with 100% of genes, accompanying the reverse modulation of mRNA expressions in 89% of genes. These data from Vc pretreatment supported the relationship between TCBQ-induced apoptosis and the altered 5hmC abundance. Additionally, Vc also suppressed TCBQ-stimulated generation of ROS, and further increased the stability of mitochondria. Our study illuminates a new mechanism of TCBQ-induced 5hmC-dependent apoptosis, and the dual mechanisms of Vc against TCBQ-stimulated apoptosis via reversely regulating 5hmC levels and scavenging ROS. The work also provided a possible strategy for the detoxification of TCBQ.

A CT-based radiomics nomogram for predicting the progression-free survival in small cell lung cancer: a multicenter cohort study.

PURPOSE: To develop a radiomics nomogram based on computed tomography (CT) to estimate progression-free survival (PFS) in patients with small cell lung cancer (SCLC) and assess its incremental value to the clinical risk factors for individual PFS estimation. METHODS: 558 patients with pathologically confirmed SCLC were retrospectively recruited from three medical centers. A radiomics signature was generated by using the Pearson correlation analysis, univariate Cox analysis, and multivariate Cox analysis. Association of the radiomics signature with PFS was evaluated. A radiomics nomogram was developed based on the radiomics signature, then its calibration, discrimination, reclassification, and clinical usefulness were evaluated. RESULTS: In total, 6 CT radiomics features were finally selected. The radiomics signature was significantly associated with PFS (hazard ratio [HR] 4.531, 95% confidence interval [CI] 3.524-5.825, p < 0.001). Incorporating the radiomics signature into the radiomics nomogram resulted in better performance for the estimation of PFS (concordance index [C-index] 0.799) than with the clinical nomogram (C-index 0.629), as well as high 6 months and 12 months area under the curves of 0.885 and 0.846, respectively. Furthermore, the radiomics nomogram also significantly improved the classification accuracy for PFS outcomes, based on the net reclassification improvement (33.7%, 95% CI 0.216-0.609, p < 0.05) and integrated discrimination improvement (22.7%, 95% CI 0.168-0.278, p < 0.05). Decision curve analysis demonstrated that in terms of clinical usefulness, the radiomics nomogram outperformed the clinical nomogram. CONCLUSION: A CT-based radiomics nomogram exhibited a promising performance for predicting PFS in patients with SCLC, which could provide valuable information for individualized treatment.

Correction of multi-scale sunglint reflections from the water surface in airborne high-spatial resolution optical images.

Airborne optical images (AOI) are often with complex sunglint reflections, which brings a certain influence to watercolor retrieval. This includes the sunglint reflection with water surface statistical distribution characteristics caused by imaging viewing angles differences, with high spatial resolution surface discrete characteristics sharing similar viewing angles, and the surface Fresnel reflection sunglint differences caused by the skylight difference during the flight of unmanned aerial vehicles. Aiming at the multiscale optical characteristics of sunglint reflection in high spatial resolution AOI, based on multi-path optical radiation transmission, the sunglint reflection interference from three different imaging processes is clarified. We developed a correction method to eliminate these different sunglint reflections on water surfaces and improve the reflectivity accuracy. The comparison with the in situ measured remote sensing reflectance of water indicated that the root mean square error (RMSE) was reduced from 0.0009 sr-1 to 0.0004 sr-1, and the mean relative error (MRE) decreased from 21.8% to 15.7%. This method has also been applied to correct the Airborne Visible Infrared Imaging Spectrometer (AVIRIS) images, showing good applicability. The method is fast, effective, and without auxiliary parameters, which provides a correction reference for different surface sunglint corrections of various AOI.

A novel clinical radiomics nomogram at baseline to predict mucosal healing in Crohn's disease patients treated with infliximab.

OBJECTIVES: Mucosal healing (MH) is currently the gold standard in Crohn's disease (CD) management. Noninvasive assessment of MH in CD patients is increasingly a concern of clinicians. METHODS: This retrospective study included 106 patients with confirmed CD who were divided into a training cohort (n = 73) and a testing cohort (n = 33). Patient demographics were evaluated to establish a clinical model. Radiomics features were extracted from computed tomography enterography (CTE) images. A radiomics signature was constructed, and a radiomics score (Rad-score) was calculated by using the radiomics signature-based formula. A clinical radiomics nomogram was then built by incorporating the Rad-score and significant clinical features. The diagnostic performance of the three models was evaluated using receiver operating characteristic (ROC) curve analysis. RESULTS: Of the 106 patients with CD, 37 exhibited MH after 26 weeks of infliximab (IFX) treatment. The area under the ROC curve (AUC) of the clinical radiomics nomogram for distinguishing MH from non-MH, which was based on the disease duration and Rad-score, was 0.880 (95% confidence interval [CI]: 0.809-0.943) in the training cohort and 0.877 (95% CI: 0.745-0.983) in the testing cohort. Decision curve analysis (DCA) confirmed the clinical utility of the clinical radiomics nomogram. CONCLUSIONS: This is a preliminary study suggesting that this CTE-based radiomics model has potential value for predicting MH in CD patients. A nomogram constructed by combining radiomics signatures and clinical features can help clinicians select appropriate therapeutic strategies for CD patients. KEY POINTS: • The disease duration (odds ratio (OR) = 0.969, 95% confidence interval (CI) = 0.943-0.995, p = 0.021) was an independent predictor of MH in the clinical model. • The AUC of the radiomics model constructed by the five radiomics features was 0.846 (95% CI: 0.759-0.921) in the training cohort and 0.817 (95% CI: 0.665-0.945) in the testing cohort for differentiating MH from non-MH. • The AUC of the clinical radiomics nomogram was 0.880 (95% CI: 0.809-0.943) in the training cohort and 0.877 (95% CI: 0.745-0.983) in the testing cohort for distinguishing MH from non-MH.

GWAS Atlas: a curated resource of genome-wide variant-trait associations in plants and animals.

GWAS Atlas (https://bigd.big.ac.cn/gwas/) is a manually curated resource of genome-wide variant-trait associations for a wide range of species. Unlike existing related resources, it features comprehensive integration of a high-quality collection of 75 467 variant-trait associations for 614 traits across 7 cultivated plants (cotton, Japanese apricot, maize, rapeseed, rice, sorghum and soybean) and two domesticated animals (goat and pig), which were manually curated from 254 publications. We integrated these associations into GWAS Atlas and presented them in terms of variants, genes, traits, studies and publications. More importantly, all associations and traits were annotated and organized based on a suite of ontologies (Plant Trait Ontology, Animal Trait Ontology for Livestock, etc.). Taken together, GWAS Atlas integrates high-quality curated GWAS associations for animals and plants and provides user-friendly web interfaces for data browsing and downloading, accordingly serving as a valuable resource for genetic research of important traits and breeding application.

A Study on the Correlation Between Vocational Self-efficacy and Ego-identity in Midwifery Students.

Context: Undergraduate, professional education in midwifery is essential. Teaching professional knowledge while guiding students to develop positive career values is one of the tasks of midwifery educators. Studies in China have shown that the stronger the ego-identity of students, the stronger their professional identities will be. Objective: The study intended to investigate the occupational self-efficacy and ego-identity of midwifery students, to analyze the correlation between the two characteristics, and to explore the factors influencing their occupational self-efficacy. Design: The research team designed a cross-sectional survey. Setting: The study took place at Taizhou University in Taizhou, Zhejiang, China. Participants: Participants were 232 full-time, undergraduate, midwifery students at the university. Selection of participants occurred between November 2018 and December 2018. Outcome Measures: The cross-sectional survey included a demographic questionnaire, a career self-efficacy questionnaire, and a ego-identity status.. Results: For the students: (1) the mean career self-efficacy of the midwifery students was 3.34 ± 0.58, at a moderate level; (2) the mean overall ego-identity score was 47.44 ± 5.92; 189 (81.47%) of students were those who hadn't yet formed a ego-identity (identity-diffusion status). The multiple gradual regression showed that present self-engagement; per-capita, monthly household income; and midwifery as the first choice of major were the main factors affecting the self-efficacy of midwifery students. Conclusions: The occupational self-efficacy and ego-identity of midwifery students urgently need improvement, and ego-identity has a predictive value for occupational self-efficacy.