Association

Objective:To determine the association of demographic profiles and clinical characteristics of patients with aural foreign bodies seen at the Emergency Room (ER) of the East Avenue Medical Center with clinical outcomes

Methods:
Design:Cross-Sectional Study
Setting:Tertiary Government Training Hospital
Participants:A total of 143 aural foreign body cases seen at the ER from January to December 2022 under the Department of Otorhinolaryngology – Head and Neck Surgery (ORL-HNS) of East Avenue Medical Center were included in the study.

Results: Of the 143 patients, majority (84; 58.74%) were males. Mean age was 21.92 years old with two peak incidences noted at ages 1-12 years old and 18-65 years old. Most of the patients were right-handed (134; 93.71%). Majority of the foreign bodies were animate (76; 53.15%) and were frequently found to be lodged on the right ear (86; 60.14%) with duration from lodgment to
extraction commonly within less than 24 hours (119; 83.22%). One hundred forty two (99.30%) patients had successful foreign body extraction, 60 (41.96%) had complications, specifically involving the external auditory canal (51; 35.66%) and tympanic membrane (6; 4.20%). Significant associations were found between age and type of foreign body [χ2 (3, N =143) = 31.24, p < .01] with a higher proportion of animate foreign bodies in adults and inanimate foreign bodies in children; sex and presence of complications [χ²(1, N = 143) = 5.41, p < .05] with males experiencing more complications than females; type and duration of foreign body [, χ²(2, N = 143) = 16.33, p < .01] with animate foreign bodies generally having a shorter duration of less than 24 hours compared to inanimate foreign bodies; and the duration of foreign body and presence of TM complications [χ²(4, N = 143) = 14.21, p < .01] with shorter durations (less than 24 hours) showing fewer TM complications. Males had higher odds of developing complications compared to females (OR = 2.315, 95% CI [1.105, 4.851])

Although melanoma only accounts for 1% of skin cancers, it is responsible for most skin cancer deaths. Glioblastoma multiforme, a high-grade astrocytoma, is the most aggressive and devastating primary brain tumor. These two diseases remain to be the biggest therapeutic challenge in both specialties of dermatology and neuro-oncology. A 53-year-old Filipino male who presented with a 2-year history of generalized dark brown and black patches on the body developed weakness and numbness of the left extremities. Biopsy and immunohistochemical staining of the skin revealed nodular melanoma with adjacent regressing melanoma. Biopsy of the intracranial mass showed glioblastoma multiforme. One month after the partial excision of the intracranial mass, the patient expired due to brain herniation. Nodular melanoma and glioblastoma multiforme may occur concomitantly in a patient. A review of the literature suggests a shared genetic predisposition. Its existence carries a poor prognosis and requires early detection to start aggressive treatment.
Melanoma ; Glioma ; Glioblastoma ; Association

Eggplant is an important horticultural crop and one of the most widely grown vegetables in the Solanaceae family. Eggplant fruit-related agronomic traits are complex quantitative traits with low efficiency and long cycle time for traditional breeding selection. With the rapid development of high-throughput sequencing technology and bioinformatics tools, genome-wide association study (GWAS) has shown great application potential in analyzing the genetic rules of complex agronomic traits related to eggplant fruits. This paper first reviews the progress of genome-wide association analysis in eggplant fruit shape, fruit color and other fruit-related agronomic traits. Subsequently, aiming at the problem of missing heritability, which is common in the genetic studies of eggplant quantitative traits, this paper puts forward the development strategies of eggplant GWAS in the future based on the hot spots of application of four GWAS strategies in the research of agronomics traits related to eggplant fruits. Lastly, the application of GWAS strategy in the field of eggplant molecular breeding is expected to provide a theoretical basis and reference for the future use of GWAS to analyze the genetic basis of various eggplant fruit-related traits and to select fruit materials that meet consumer needs.
Solanum melongena/genetics* ; Fruit/genetics* ; Genome-Wide Association Study ; Plant Breeding ; Agriculture ; Vegetables

Excavating the quantitative trait locus (QTL) associated with rice cooking quality, analyzing candidate genes, and improving cooking quality-associated traits of rice varieties by genetic breeding can effectively improve the taste of rice. In this study, we used the indica rice HZ, the japonica rice Nekken2 and 120 recombinant inbred lines (RILs) populations constructed from them as experimental materials to measure the gelatinization temperature (GT), gel consistency (GC) and amylose content (AC) of rice at the maturity stage. We combined the high-density genetic map for QTL mapping. A total of 26 QTLs associated with rice cooking quality (1 QTL associated with GT, 13 QTLs associated with GC, and 12 QTLs associated with AC) were detected, among which the highest likelihood of odd (LOD) value reached 30.24. The expression levels of candidate genes in the localization interval were analyzed by quantitative real-time polymerase chain reaction (qRT-PCR), and it was found that the expression levels of six genes were significantly different from that in parents. It was speculated that the high expression of LOC_Os04g20270 and LOC_Os11g40100 may greatly increase the GC of rice, while the high expression of LOC_Os01g04920 and LOC_Os02g17500 and the low expression of LOC_Os03g02650 and LOC_Os05g25840 may reduce the AC. The results lay a molecular foundation for the cultivation of new high-quality rice varieties, and provide important genetic resources for revealing the molecular regulation mechanism of rice cooking quality.
Quantitative Trait Loci ; Oryza/genetics* ; Plant Breeding ; Cooking ; Genetic Association Studies

Introduction: In the realm of education and professional licensure, the assessment of individuals’ competencies is pivotal in determining eligibility for entry into various fields of practice. Medical school assessments encompass cognitive and non-cognitive measures. The Philippines’ Physician Licensure Examination (PLE) relies solely on cognitive assessment. This study explored the predictive power of cognitive assessment in the passing the Physician Licensure Examinations. Methods: A case-control study design was done. Cognitive examination grade was defined as the average cumulative grade of written examinations in specific subjects, while the dependent variable was PLE scores. Results: The study revealed a positive association between failing written examinations and failing the Physician Licensure Examination. In all subjects, there is an observed association, but only Pharmacology reached statistical significance (OR: 2.30 CI:1.01,5.24). For the remaining subjects, although there is an association, it did not reach statistical significance (Biochemistry OR:1.42, CI: 0.43, 4.72; Medicine 3 OR:1.56, CI: 0.81, 3.0; Surgery 3 OR:1.28 CI: 0.63, 2.58). There was no association seen between failing the written examination and failing the PLE in Obstetrics (OR:0.98 CI: 0.47, 2.03). Furthermore, there was a weak positive correlation (0.18-0.31) between written examination grades and corresponding board exam subject grades for all subjects, highlighting the importance of cognitive assessments in predicting success. The research also found a statistically significant difference in PLE grades between those who failed the written examinations and those who passed. Conclusion These findings emphasized the crucial role of cognitive assessments in predicting success in the PLE and its associated board subjects. The study underscored the need for medical institutions to focus on strengthening cognitive competencies and to align the content and rigor of written examinations with the PLE. Addressing these issues would better prepare students for the licensure examination and enhance the quality of healthcare professionals entering the workforce. The results may contribute to the ongoing discussion on the effectiveness of assessment methods in medical education and licensure examinations.
Association

The active ingredients in traditional Chinese medicine(TCM)are the foundation for the efficiency of TCM and the key to the formation of Dao-di herbs. It is of great significance to study the biosynthesis and regulation mechanisms of these active ingredients for analyzing the formation mechanism of Daodi herbs and providing components for the production of active ingredients in TCM by synthetic biology. With the advancements in omics technology, molecular biology, synthetic biology, artificial intelligence, etc., the analysis of biosynthetic pathways for active ingredients in TCM is rapidly progressing. New methods and technologies have promoted the analysis of the synthetic pathways of active ingredients in TCM and have also made this area a hot topic in molecular pharmacognosy. Many researchers have made significant progress in analyzing the biosynthetic pathways of active ingredients in TCM such as Panax ginseng, Salvia miltiorrhiza, Glycyrrhiza uralensis, and Tripterygium wilfordii. This paper systematically reviewed current research me-thods for analyzing the biosynthetic functional genes of active ingredients in TCM, elaborated the mining of gene elements based on multiomics technology and the verification of gene functions in plants in vitro and in vivo with candidate genes as objects. Additionally, the paper summarized new technologies and methods that have emerged in recent years, such as high-throughput screening, molecular probes, genome-wide association studies, cell-free systems, and computer simulation screening to provide a comprehensive reference for the analysis of the biosynthetic pathways of active ingredients in TCM.
Medicine, Chinese Traditional ; Drugs, Chinese Herbal ; Artificial Intelligence ; Biosynthetic Pathways ; Computer Simulation ; Genome-Wide Association Study

Objective: To explore the causal effects of the serum Vitamin D levels on the risk of systemic lupus erythematosus (SLE). Methods: A two-sample Mendelian randomization (MR) study was performed to infer the causality. Three Genome-wide association studies (GWAS) for circulating Vitamin D levels, including 25-hydroxyvitamin D [25(OH)D], 25-hydroxyvitamin D₃ [25(OH)D₃] and C3-epimer of 25-hydroxyvitamin D₃ [C3-epi-25(OH)D₃] published in 2020, and one GWAS for SLE published in 2015 were utilized to analyze the causal effects of the serum Vitamin D levels on the risk of SLE. MR analyses were conducted using the inverse-variance weighted method (IVW), weighted median, MR-Egger methods, MR-pleiotropy residual sum and outlier (MR-PRESSO) method. Results: 34, 29 and 6 SNPs were respectively selected as instrumental variables to analyze the causal association of total 25 (OH) D level, 25 (OH) D₃ level and C3-epi-25 (OH) D₃ level with the risk of SLE. The MR results showed that each standard deviation decrease in the level of 25(OH)D₃ would result in 14.2% higher risk of SLE (OR, 0.858; 95%CI, 0.753-0.978; P=0.022). The levels of 25(OH)D and C3-epi-25(OH)D₃ had null associations with risk of SLE (OR, 0.849; 95%CI, 0.653-1.104; P=0.222; OR, 0.904; 95%CI, 0.695-1.176; P=0.452). Conclusion: This study have identified a causal effect of 25(OH)D₃ on increased risk of SLE. These findings highlighted the significance of active monitoring and prevention of SLE in population of low Vitamin D levels.
Humans ; Genome-Wide Association Study ; Vitamin D ; Lupus Erythematosus, Systemic/complications* ; Vitamins ; Causality ; Mendelian Randomization Analysis/methods* ; Polymorphism, Single Nucleotide

Advancements in high-throughput sequencing have yielded vast amounts of genomic data, which are studied using genome-wide association study (GWAS)/phenome-wide association study (PheWAS) methods to identify associations between the genotype and phenotype. The associated findings have contributed to pharmacogenomics and improved clinical decision support at the point of care in many healthcare systems. However, the accumulation of genomic data from sequencing and clinical data from electronic health records (EHRs) poses significant challenges for data scientists. Following the rise of artificial intelligence (AI) technology such as machine learning and deep learning, an increasing number of GWAS/PheWAS studies have successfully leveraged this technology to overcome the aforementioned challenges. In this review, we focus on the application of data science and AI technology in three areas, including risk prediction and identification of causal single-nucleotide polymorphisms, EHR-based phenotyping and CRISPR guide RNA design. Additionally, we highlight a few emerging AI technologies, such as transfer learning and multi-view learning, which will or have started to benefit genomic studies.
Artificial Intelligence ; Data Science ; Genome-Wide Association Study ; Genomics ; Technology

Non-syndromic oral cleft (NSOC), a common birth defect, remains to be a critical public health problem in China. In the context of adjustment of childbearing policy for two times in China and the increase of pregnancy at older childbearing age, NSOC risk prediction will provide evidence for high-risk population identification and prenatal counseling. Genome-wide association study and second generation sequencing have identified multiple loci associated with NSOC, facilitating the development of genetic risk prediction of NSOC. Despite the marked progress, risk prediction models of NSOC still faces multiple challenges. This paper summarizes the recent progress in research of NSOC risk prediction models based on the results of extensive literature retrieval to provide some insights for the model development regarding research design, variable selection, model-build strategy and evaluation methods.
Humans ; Cleft Palate/genetics* ; Cleft Lip/genetics* ; Genome-Wide Association Study ; Genetic Predisposition to Disease ; Risk Factors ; Polymorphism, Single Nucleotide