1.A Clinical Observation on Urogenital Complications in Diabetes Mellitus.
Korean Journal of Urology 1983;24(5):774-778
A clinical observation was made on 412 cases of diabetes mellitus who were admitted to Eul Ji General Hospital, Seoul, Korea, during the period from January 1980 to June 1983 with regard to urogenital compilations. The results were as follows: 1. The incidence rate of urogenital complications among 412 cases of D.M. was found in 21.1% (87 cases). 2. Concerning the frequency of genitourinary complications (87 cases) in each disease, urinary infection was found in 70 cases (80.5%), nephrotic syndrome in 7cases (8%), Kimmelstiel-Wilson syndrome in 5 cases (5.8%), neurogenic bladder in 3 cases (3.4%). 3. The most .frequent age distribution of urogenital complications of D.M. showed more than 50 years of age with 75% (65 cases). 4. The longer the duration of the diabetes was, the higher the incidence rate of urogenital complications. 5. Complications of D.M. except genitourinary tract were hypertension; 18.5%, pulmonary T.B.; 11.9%, retinopathy 10.4%, respiratory infection; 6.1%, neuropathy; 5.8%.
Age Distribution
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Diabetes Mellitus*
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Diabetic Nephropathies
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Hospitals, General
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Hypertension
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Incidence
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Korea
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Nephrotic Syndrome
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Seoul
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Urinary Bladder, Neurogenic
2.Statistical Evaluation of Lineage Markers in Individual Identification.
Hyo Jung LEE ; Soong Deok LEE ; Seung Hwan LEE ; Su Jeong PARK ; Su Jin JEONG ; Jae Won LEE
Korean Journal of Legal Medicine 2014;38(2):39-47
Mitochondrial DNA (mt DNA) and the non-recombining region of the Y chromosome are passed down, unaltered, from generation to generation, matrilineally and patrilineally, respectively. Therefore, the Y-chromosome DNA and mtDNA are known as lineage markers, and they play important roles in studies based on human migration and evolutionary history. Y-chromosome DNA is used in forensic analysis to identify individuals involved in cases of sexual assault. In this paper, we review the methods of statistical evaluation of lineage markers used in forensic identification. We also review the combined approach of autosomal and lineage marker evidence.
DNA
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DNA, Mitochondrial
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Human Migration
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Y Chromosome
3.Benign Schwannoma of the Liver: A Case Report.
Won Hyun LEE ; Tae Hyo KIM ; Soong Suk YOU ; Sun Pil CHOI ; Hyun Ju MIN ; Hyun Jin KIM ; Ok Jae LEE ; Gyung Hyuck KO
Journal of Korean Medical Science 2008;23(4):727-730
A primary benign schwannoma of the liver is extremely rare. Only nine cases have been reported in the medical literature worldwide and no case has been reported in Korea previously. A 36-yr-old woman was admitted to our hospital with vague epigastric pain. The ultrasound and computed tomography scan revealed a multiseptated cystic mass in the right lobe of the liver. The mass was resected; it was found to be a 5x4x2 cm mass filled with reddish yellow fluid. The histological examination confirmed the diagnosis of a benign schwannoma, proven by positive immunoreaction with the neurogenic marker S-100 protein and a negative response to CD34, CD117 and smooth muscle actin. This is the first report of a benign schwannoma of the liver parenchyma in a Korean patient.
Adult
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Antigens, CD34/analysis
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Female
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Humans
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Liver Neoplasms/diagnosis/*pathology
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Neurilemmoma/diagnosis/*pathology
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Proto-Oncogene Proteins c-kit/analysis
4.Classification of Common Relationships Based on Short Tandem Repeat Profiles Using Data Mining
Su Jin JEONG ; Hyo Jung LEE ; Soong Deok LEE ; Seung Hwan LEE ; Su Jeong PARK ; Jong Sik KIM ; Jae Won LEE
Korean Journal of Legal Medicine 2019;43(3):97-105
We reviewed past studies on the identification of familial relationships using 22 short tandem repeat markers. As a result, we can obtain a high discrimination power and a relatively accurate cut-off value in parent-child and full sibling relationships. However, in the case of pairs of uncle-nephew or cousin, we found a limit of low discrimination power of the likelihood ratio (LR) method. Therefore, we compare the LR ranking method and data mining techniques (e.g., logistic regression, linear discriminant analysis, diagonal linear discriminant analysis, diagonal quadratic discriminant analysis, K-nearest neighbor, classification and regression trees, support vector machines, random forest [RF], and penalized multivariate analysis) that can be applied to identify familial relationships, and provide a guideline for choosing the most appropriate model under a given situation. RF, one of the data mining techniques, was found to be more accurate than other methods. The accuracy of RF is 99.99% for parent-child, 99.44% for full siblings, 90.34% for uncle-nephew, and 79.69% for first cousins.
Classification
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Data Mining
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Discrimination (Psychology)
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Forests
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Humans
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Logistic Models
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Methods
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Microsatellite Repeats
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Siblings
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Support Vector Machine
;
Trees
5.Classification of Common Relationships Based on Short Tandem Repeat Profiles Using Data Mining
Su Jin JEONG ; Hyo Jung LEE ; Soong Deok LEE ; Seung Hwan LEE ; Su Jeong PARK ; Jong Sik KIM ; Jae Won LEE
Korean Journal of Legal Medicine 2019;43(3):97-105
We reviewed past studies on the identification of familial relationships using 22 short tandem repeat markers. As a result, we can obtain a high discrimination power and a relatively accurate cut-off value in parent-child and full sibling relationships. However, in the case of pairs of uncle-nephew or cousin, we found a limit of low discrimination power of the likelihood ratio (LR) method. Therefore, we compare the LR ranking method and data mining techniques (e.g., logistic regression, linear discriminant analysis, diagonal linear discriminant analysis, diagonal quadratic discriminant analysis, K-nearest neighbor, classification and regression trees, support vector machines, random forest [RF], and penalized multivariate analysis) that can be applied to identify familial relationships, and provide a guideline for choosing the most appropriate model under a given situation. RF, one of the data mining techniques, was found to be more accurate than other methods. The accuracy of RF is 99.99% for parent-child, 99.44% for full siblings, 90.34% for uncle-nephew, and 79.69% for first cousins.
6.Y Haplogroup Distribution in Korean and Other Populations.
Ai Hua ZHANG ; Hye Young LEE ; Seung Bum SEO ; Hyo Jung LEE ; Hong Xuan JIN ; So Hee CHO ; Sung Hee LYOO ; Ki Ha KIM ; Jae Won LEE ; Soong Deok LEE
Korean Journal of Legal Medicine 2012;36(1):34-44
With globalization, international exchange has increased. Accordingly, the necessity for individual identification using genetic polymorphism has also increased. Paternal lineages are distributed differently, and different distribution patterns can be used to predict ancestry. We studied the distribution pattern of different paternal lineages in Korea and compared them with other populations. All 30 SNPs on the Y chromosome were selected for paternal lineage confirmation. Loci that could subclassify haplogroup O, the most frequent in the East Asian population, were added. After multiplex amplification for the target loci, SBE reactions were set up for each SNP site. One hundred Korean men as well as 60 Chinese, 60 Japanese, 19 African-American, 48 Caucasian, and 47 Mexican American were tested and compared. Five Y haplogroups [C (C3), D (D2), NO, O, Q (Q1a1)] were found in Koreans, with haplogroup O being the most frequent. Haplogroup O sub-classified into O* (24%), O1 (6%), O2b (39%), O3a3c (4%), O3a3c1 (13%), and O3a3b(1%). This distribution pattern was similar to that of Chinese or Japanese, but minor differences were noted. With Fst, the Korean and Japanese patterns were close (0.01757) when using 6 SNPs. There were significant differences between Koreans and African Americans, Caucasians and Mexican Americans, and they were easily discernible without requiring haplogroup O sub-classification. Sub-classification of haplogroup O is likely to be useful for East Asia group comparisons. Additional studies in populations from different areas of China or Japan or studies of mtDNA or autosomes may enhance the discrimatory power of genetic polymorphism in different Asian populations.
African Americans
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Asian Continental Ancestry Group
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China
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DNA, Mitochondrial
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Far East
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Humans
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Internationality
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Japan
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Korea
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Male
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Mexican Americans
;
Polymorphism, Genetic
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Polymorphism, Single Nucleotide
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Y Chromosome