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김용강,박태성 한국유전체학회 2019 Genomics & informatics Vol.17 No.1
To identify miRNA-mRNA interaction pairs associated with binary phenotypes, we propose a hierarchical structural component model for miRNA-mRNA integration (HisCoM-mimi). Information on known mRNA targets provided by TargetScan is used to perform HisCoM-mimi. However, multiple databases can be used to find miRNA-mRNA signatures with known biological information through different algorithms. To take these additional databases into account, we present our advanced application software for HisCoM-mimi for binary phenotypes. The proposed HisCoM-mimi supports both TargetScan and miRTarBase, which provides manually-verified information initially gathered by text-mining the literature. By integrating information from miRTarBase into HisCoM-mimi, a broad range of target information derived from the research literature can be analyzed. Another improvement of the new HisCoM-mimi approach is the inclusion of updated algorithms to provide the lasso and elastic-net penalties for users who want to fit a model with a smaller number of selected miRNAs and mRNAs. We expect that our HisCoM-mimi software will make advanced methods accessible to researchers who want to identify miRNA-mRNA interaction pairs related with binary phenotypes.
김용강 한국동서철학회 2023 동서철학연구 Vol.- No.108
본 논문은 현재 한국에서 공(空)의 의미가 모호한 것 같아 그 의미를 좀 더 명확히 밝혀보고자 한다. 반야심경에서 오온(五蘊)이 공(空)함을 비추어 보고 모든 괴로움에서 벗어난다고 하였는데 공(空)이 무엇인지 모르면 괴로움에서 벗어나는 방법도 알 수 없는 것이다. 붓다는 촉(觸)에서 나를 구성하고 있는 색(色), 수(受), 상(想), 행(行), 식(識) 다섯 가지 요소가 생겨나는데 이를 오온(五蘊)이라고 명명하고 자성이 없어 무아(無我), 공(空)이라 하였다. 또 촉에서 연기법이 시작되어 윤회(輪廻)한다고 하는데 이것은 무아(無我)인 내가 윤회를 한다는 것처럼 보여 우리를 혼란스럽게 한다. 용수는 공(空)을 사용하여 붓다의 연기법을 바로 세우고자 하였는데 현재는 공이 ‘이해하기 어렵고 신비로운 그 무엇’으로 해석되는 것이 일반적인 것 같다. 시공(時空)으로 멀리 떨어져 붓다의 뜻을 알기 어렵다면 초기 가르침을 통하여 그 뜻에 좀 더 가깝게 갈 수 있다고 생각됨으로 아함경을 중심으로 공의 의미를 고찰해 보고자 한다.
김용강 대한신경정신의학회 1978 신경정신의학 Vol.17 No.3
One hundred and forty five institutionalized children in two nursery homes in Kwangju city were compared to a control group of one hundred and forty six children living with parents as for their behavior disorders. Age of the children of both groups was 6 years and below. A checklist of 31 items divided into five behavior groups was used. The results were as follows. 1. The most common behavioral pattern found in the study group was ,depression-withdrawal and the least common was overanxiety. On the contrary, for the control group, the most common was hyperactivity and the least common was depression-withdrawal. 2. Mild behavior disorders were significantly more frequent in the control group in all behavior groups except depression-withdrawal. Whereas severe behavior disorders were significantly more frequent in the study group in all behavior groups except hyperactivity. 3. Control subjects tended to be scored low, while study subjects were scored high (severe) and the difference was significant. 4. The most prominent impairments of the depression- withdrawal behaviors were those of speech and language in the study group. 5. The items of aggressive-unsocialized behaviors showing greater frequency of severs degree in the study group were those indicating covert, masochistic and saHistic HeViaviors.
문준호,김용강,오태정,문재훈,곽수헌,박경수,장학철,최성희,조남한 대한내분비학회 2023 Endocrinology and metabolism Vol.38 No.4
Background: While the triglyceride-glucose (TyG) index is a measure of insulin resistance, its association with cardiovascular disease (CVD) has not been well elucidated. We evaluated the TyG index for prediction of CVDs in a prospective large communitybased cohort. Methods: Individuals 40 to 70 years old were prospectively followed for a median 15.6 years. The TyG index was calculated as the Ln [fasting triglycerides (mg/dL)×fasting glucose (mg/dL)/2]. CVDs included any acute myocardial infarction, coronary artery disease or cerebrovascular disease. We used a Cox proportional hazards model to estimate CVD risks according to quartiles of the TyG index and plotted the receiver operating characteristics curve for the incident CVD. Results: Among 8,511 subjects (age 51.9±8.8 years; 47.5% males), 931 (10.9%) had incident CVDs during the follow-up. After adjustment for age, sex, body mass index, diabetes mellitus, hypertension, total cholesterol, smoking, alcohol, exercise, and C-reactive protein, subjects in the highest TyG quartile had 36% increased risk of incident CVD compared with the lowest TyG quartile (hazard ratio, 1.36; 95% confidence interval, 1.10 to 1.68). Carotid plaque, assessed by ultrasonography was more frequent in subjects in the higher quartile of TyG index (P for trend=0.049 in men and P for trend <0.001 in women). The TyG index had a higher predictive power for CVDs than the homeostasis model assessment of insulin resistance (HOMA-IR) (area under the curve, 0.578 for TyG and 0.543 for HOMA-IR). Adding TyG index on diabetes or hypertension alone gave sounder predictability for CVDs. Conclusion: The TyG index is independently associated with future CVDs in 16 years of follow-up in large, prospective Korean cohort.
이재용,김용강,박태성,박미라 한국유전체학회 2016 Genomics & informatics Vol.14 No.4
Glucose tolerance tests have been devised to determine the speed of blood glucose clearance. Diabetes is often tested with the standard oral glucose tolerance test (OGTT), along with fasting glucose level. However, no single test may be sufficient for the diagnosis, and the World Health Organization (WHO)/International Diabetes Federation (IDF) has suggested composite criteria. Accordingly, a single multi-class trait was constructed with three of the fasting phenotypes and 1- and 2-hour OGTT phenotypes from the Korean Association Resource (KARE) project, and the genetic association was investigated. All of the 18 possible combinations made out of the 3 sets of classification for the individual phenotypes were taken into our analysis. These were possible due to a method that was recently developed by us for estimating genomic associations using a generalized index of dissimilarity. Eight single-nucleotide polymorphisms (SNPs) that were found to have the strongest main effect are reported with the corresponding genes. Four of them conform to previous reports, located in the CDKAL1 gene, while the other 4 SNPs are new findings. Two-order interacting SNP pairs of are also presented. One pair (rs2328549 and rs6486740) has a prominent association, where the two single-nucleotide polymorphism locations are CDKAL1 and GLT1D1. The latter has not been found to have a strong main effect. New findings may result from the proper construction and analysis of a composite trait.