Genome-wide association studies have been used extensively to identify genetic variants linked to metabolic syndrome (MetS), but most of them have been conducted in non-Asian populations. This study aimed to evaluate the association between MetS and previously studied single nucleotide polymorphisms (SNPs), and their interaction with health-related behavior in Korean men. Seventeen SNPs were genotyped and their association with MetS and its components was tested in 1193 men who enrolled in the study at Seoul National University Hospital. We found that rs662799 near APOA5 and rs769450 in APOE had significant association with MetS and its components. The SNP rs662799 was associated with increased risk of MetS, elevated triglyceride (TG) and low levels of high-density lipoprotein, while rs769450 was associated with a decreased risk of TG. The SNPs showed interactions between alcohol drinking and physical activity, and TG levels in Korean men. We have identified the genetic association and environmental interaction for MetS in Korean men. These results suggest that a strategy of prevention and treatment should be tailored to personal genotype and the population.

Complex karyotype (CK) is associated with a poor prognosis in both acute myeloid leukemia (AML) and myelodysplastic syndrome with excess blasts (MDS-EB). Transcriptomic analyses have improved our understanding of the disease and risk stratification of myeloid neoplasms; however, CK-specific gene expression signatures have been rarely investigated. In this study, we developed and validated a CK-specific gene expression signature. Differential gene expression analysis between the CK and non-CK groups using data from 348 patients with AML and MDS-EB from four cohorts revealed enrichment of the downregulated genes localized on chromosome 5q or 7q, suggesting that haploinsufficiency due to the deletion of these chromosomes possibly underlies CK pathogenesis. We built a robust transcriptional model for CK prediction using LASSO regression for gene subset selection and validated it using the leave-one-out cross-validation method for fitting the logistic regression model. We established a 10-gene CK signature (CKS) predictive of CK with high predictive accuracy (accuracy 94.22%; AUC 0.977). CKS was significantly associated with shorter overall survival in three independent cohorts, and was comparable to that of previously established risk stratification models for AML. Furthermore, we explored of therapeutic targets among the genes comprising CKS and identified the dysregulated expression of superoxide dismutase 1 (SOD1) gene, which is potentially amenable to SOD1 inhibitors.

Background/Objectives: Mutations in RAS/RAF are common in colorectal cancer (CRC) and play a pivotal role in guiding treatment selection. With the recent advent of immunotherapy, microsatellite (MSI) status, tumor mutation burden (TMB), and POLE mutations, particularly those leading to high TMB, have gained importance in CRC. This study aimed to examine the clinicopathological characteristics of patients with CRC with POLE mutations. Methods: We identified POLE mutations in patients with colorectal cancer who had available next-generation sequencing (NGS) results from a single institute in Korea. RAS/RAF status, MSI status, and TMB were evaluated, and based on the TMB results, patients with POLE mutations were classified as having either pathogenic or non-pathogenic mutations. After excluding non-Korean patients, we compared the groups based on the presence of pathogenic POLE mutations. Results: Five POLE mutations (A456P, P286R, R1111W, R609W, and V922I) were identified. Only A456P and P286R were associated with an exceptionally high TMB, resulting in two patients (1.1%) being categorized as having pathogenic POLE. The POLE-mutant group showed an extremely high TMB and tended to include younger patients. Among the two pathogenic cases, one showed poor histological differentiation, and the tumors were split between the right and left colons (one in each). Conclusions: CRC with POLE mutations tend to exhibit TMB-high, occur in younger patients, localize to the right colon, and display poor histological differentiation. Given that POLE mutations can serve as indicators for immunotherapy, recognizing these mutations is of clinical importance.

Background/Objectives: Whole exome sequencing (WES) is an effective method for detecting disease-causing variants. However, copy number variation (CNV) detection using WES data often has limited sensitivity and high false-positive rates. Methods: In this study, we constructed a reference CNV set using chromosomal microarray analysis (CMA) data from 44 of 180 individuals who underwent WES and CMA and evaluated four WES-based CNV callers (CNVkit, CoNIFER, ExomeDepth, and cn.MOPS) against this benchmark. For each tool, we first defined software-specific problematic genomic regions across the full WES cohort and filtered out the CNVs that overlapped these regions. Results: The four algorithms showed low mutual concordance and distinct distributions in the problematic regions. On average, 2210 sequencing target baits (1.23%) were classified as problematic; these baits had lower mappability scores and higher coefficients of variation in RPKM than the remaining probes. After the supplementary filtration step, all tools demonstrated improved performance. Notably, ExomeDepth achieved gains of 14.4% in sensitivity and 7.9% in positive predictive value. Conclusions: We delineated software-specific problematic regions and demonstrated that targeted filtration markedly reduced false positives in WES-based CNV detection.