Single-nucleotide polymorphisms (SNPs) have been emerging out of the efforts to research human diseases and ethnic disparities. A semantic network is needed for in-depth understanding of the impacts of SNPs, because phenotypes are modulated by complex networks, including biochemical and physiological pathways. We identified ethnicity-specific SNPs by eliminating overlapped SNPs from HapMap samples, and the ethnicity-specific SNPs were mapped to the UCSC RefGene lists. Ethnicity-specific genes were identified as follows: 22 genes in the USA (CEU) individuals, 25 genes in the Japanese (JPT) individuals, and 332 genes in the African (YRI) individuals. To analyze the biologically functional implications for ethnicity-specific SNPs, we focused on constructing a semantic network model. Entities for the network represented by "Gene," "Pathway," "Disease," "Chemical," "Drug," "ClinicalTrials," "SNP," and relationships between entity-entity were obtained through curation. Our semantic modeling for ethnicity-specific SNPs showed interesting results in the three categories, including three diseases ("AIDS-associated nephropathy," "Hypertension," and "Pelvic infection"), one drug ("Methylphenidate"), and five pathways ("Hemostasis," "Systemic lupus erythematosus," "Prostate cancer," "Hepatitis C virus," and "Rheumatoid arthritis"). We found ethnicity-specific genes using the semantic modeling, and the majority of our findings was consistent with the previous studies - that an understanding of genetic variability explained ethnicity-specific disparities.
Asian Continental Ancestry Group ; Ethnic Groups ; HapMap Project* ; Humans ; Phenotype ; Polymorphism, Single Nucleotide* ; Semantics*

Selective sweep can cause genetic differentiation across populations, which allows for the identification of possible causative regions/genes underlying important traits. The pig has experienced a long history of allele frequency changes through artificial selection in the domestication process. We obtained an average of 329,482,871 sequence reads for 24 pigs from three pig breeds: Yorkshire (n = 5), Landrace (n = 13), and Duroc (n = 6). An average read depth of 11.7 was obtained using whole-genome resequencing on an Illumina HiSeq2000 platform. In this study, cross-population extended haplotype homozygosity and cross-population composite likelihood ratio tests were implemented to detect genes experiencing positive selection for the genome-wide resequencing data generated from three commercial pig breeds. In our results, 26, 7, and 14 genes from Yorkshire, Landrace, and Duroc, respectively were detected by two kinds of statistical tests. Significant evidence for positive selection was identified on genes ST6GALNAC2 and EPHX1 in Yorkshire, PARK2 in Landrace, and BMP6, SLA-DQA1, and PRKG1 in Duroc.These genes are reportedly relevant to lactation, reproduction, meat quality, and growth traits. To understand how these single nucleotide polymorphisms (SNPs) related positive selection affect protein function, we analyzed the effect of non-synonymous SNPs. Three SNPs (rs324509622, rs80931851, and rs80937718) in the SLA-DQA1 gene were significant in the enrichment tests, indicating strong evidence for positive selection in Duroc. Our analyses identified genes under positive selection for lactation, reproduction, and meat-quality and growth traits in Yorkshire, Landrace, and Duroc, respectively.
Female ; Gene Frequency ; Haplotypes ; Lactation ; Meat ; Polymorphism, Single Nucleotide ; Reproduction ; Swine ; Natural Resources

Objective: Bipolar disorder displays a spectrum of manifestations, including manic, hypomanic, depressive, mixed, psychotic, and atypical episodes, contributing to its chronic nature and association with heightened suicide risk. Creating effective pharmacotherapy guidelines is crucial for managing bipolar disorder and reducing its prevalence. Treatment algorithms grounded in science have improved symptom management, but variations in recommended medications arise from research differences, healthcare policies, and cultural nuances globally. Methods: This study compares Korea’s bipolar disorder treatment algorithm with guidelines from the UK, Australia, and an international association. The aim is to uncover disparities in key recommended medications and their underlying factors. Differences in CYP450 genotypes affecting drug metabolism contribute to distinct recommended medications. Variances also stem from diverse guideline development approaches—expert consensus versus metaanalysis results—forming the primary differences between Korea and other countries. Results: Discrepancies remain in international guidelines relying on meta-analyses due to timing and utilized studies. Drug approval speeds further impact medication selection. However, limited high-quality research results are the main cause of guideline variations, hampering consistent treatment conclusions. Conclusion Korea’s unique Delphi-based treatment algorithm stands out. To improve evidence-based recommendations, large-scale studies assessing bipolar disorder treatments for the Korean population are necessary. This foundation will ensure future recommendations are rooted in scientific evidence.

BACKGROUND: This descriptive epidemiological study aimed to assess the prevalence of serum bactericidal antibodies against Neisseria meningitidis serogroups A, C, W and Y in adolescents and adults in the Republic of Korea. MATERIALS AND METHODS: In total, 987 subjects aged 11-55 years from five geographical regions of Korea were included in the study. Human serum bactericidal assay (hSBA) was used to measure hSBA titres for serogroups A, C, W and Y. Percentages of subjects with hSBA titres ≥4 and ≥8, geometric mean titres (GMTs), and associated 95% confidence intervals (CIs), were estimated. Analysis was performed for the entire study population and stratified by age group or region. No statistical hypotheses were tested. RESULTS: The highest percentage of subjects with hSBA titres ≥8 was observed for serogroup W (74%), was similar for serogroups C (34%) and Y (36%), and was lowest for serogroup A (9%). The percentages of subjects with hSBA titres ≥4 were similar to those with hSBA titres ≥8 for all serogroups. GMTs were 2.56 µg/mL (serogroup A), 5.14 µg/mL (serogroup C), 22.63 µg/mL (serogroup W) and 5.28 µg/mL (serogroup Y). Similar trends in GMTs across serogroups were seen for individual regions and age groups. The highest GMTs for serogroups A, W and Y were recorded in the >19-29 years group, and for serogroup C in the >49-55 years group. Across all regions, GMTs were very similar for serogroups A, C and Y, while more variation was seen for serogroup W. CONCLUSION: In the Korean population, among Neisseria meningitidis serogroups A, C, W and Y, serum bactericidal antibodies were most prevalent against serogroup W and least prevalent against serogroup A. These trends were maintained across age groups and regions. The highest GMTs for serogroups A, W and Y were observed in the >19-29 years group. The reasons behind the observed differences in prevalence of bactericidal antibodies against the serogroups are currently not understood, although carriage and cross-reactivity of the assay may be important influences.
Adolescent* ; Adult* ; Antibodies* ; Epidemiologic Studies ; Epidemiology ; Humans ; Korea ; Neisseria meningitidis* ; Neisseria* ; Prevalence ; Republic of Korea*

Emphysematous gastritis is a rare disorder characterized by emphysematous change of the gastric wall due to infection with a gas-forming organism. Acute necrotizing esophagitis is a rare disorder with an unknown pathogenesis. Above two disorders rarely occur together, only three global cases have been reported to date. Such a case has never been reported in Korea, we report a novel case of severe emphysematous gastritis with concomitant portal venous air and acute necrotizing esophagitis in type 1 diabetes presenting with diabetic ketoacidosis. A 24-year-old man known to have type 1 diabetes and pulmonary tuberculosis was brought to the emergency room for epigastric pain with vomiting. His body mass index was 14.7, and the laboratory findings demonstrated leukocytosis and acidosis, as well as elevated serum glucose, ketone, and C-reactive protein levels. Enhanced computed tomography showed portal vein gas and edematous wall thickening without enhancement in the stomach wall, with air density along the stomach and esophageal wall. The patient required surgical intervention of total gastrectomy and cervical esophagostomy followed by esophagocolostomy and esophageal reconstruction. Early radiologic diagnosis and clinical suspicion of this disease and prompt intervention including antibiotics, decompression, and surgery are important for a good prognosis.
Acidosis ; Anti-Bacterial Agents ; Blood Glucose ; Body Mass Index ; C-Reactive Protein ; Decompression ; Diabetic Ketoacidosis* ; Diagnosis ; Emergency Service, Hospital ; Esophagitis* ; Esophagostomy ; Gastrectomy ; Gastritis* ; Humans ; Korea ; Leukocytosis ; Portal Vein ; Prognosis ; Stomach ; Tuberculosis, Pulmonary ; Vomiting ; Young Adult

This paper describes a community effort to improve earlier versions of the full-text corpus of Genomics & Informatics by semi-automatically detecting and correcting PDF-to-text conversion errors and optical character recognition errors during the first hackathon of Genomics & Informatics Annotation Hackathon (GIAH) event. Extracting text from multi-column biomedical documents such as Genomics & Informatics is known to be notoriously difficult. The hackathon was piloted as part of a coding competition of the ELTEC College of Engineering at Ewha Womans University in order to enable researchers and students to create or annotate their own versions of the Genomics & Informatics corpus, to gain and create knowledge about corpus linguistics, and simultaneously to acquire tangible and transferable skills. The proposed projects during the hackathon harness an internal database containing different versions of the corpus and annotations.

This paper describes a community effort to improve earlier versions of the full-text corpus of Genomics & Informatics by semi-automatically detecting and correcting PDF-to-text conversion errors and optical character recognition errors during the first hackathon of Genomics & Informatics Annotation Hackathon (GIAH) event. Extracting text from multi-column biomedical documents such as Genomics & Informatics is known to be notoriously difficult. The hackathon was piloted as part of a coding competition of the ELTEC College of Engineering at Ewha Womans University in order to enable researchers and students to create or annotate their own versions of the Genomics & Informatics corpus, to gain and create knowledge about corpus linguistics, and simultaneously to acquire tangible and transferable skills. The proposed projects during the hackathon harness an internal database containing different versions of the corpus and annotations.