예비부모교육 프로그램의 효과에 관한 메타분석

문소희 ( Moon¸ Sohee ),류아영 ( Lyu¸ Ayoung ),조미영 ( Cho¸ Miyoung ),유순화 ( Yoo¸ Soonhwa ) 열린부모교육학회 2021 열린부모교육연구 Vol.13 No.3

본 연구는 메타분석을 통해 예비부모교육 프로그램의 효과에 관한 연구들을 종합하여 체계적인 결과를 도출하는데 목적이 있다. 이를 위해 PICOS 기준에 따라 1996년부터 2021년 6월까지 연구된 국내 석·박사학위 논문 및 학술지 23편을 연구대상으로 선정하였다. 연구의 결과는 다음과 같다. 첫째, 예비부모교육 프로그램의 전체 평균 효과 크기는 0.68로 중간 효과 크기를 나타냈다. 둘째, 운영특성에 따른 평균효과 크기를 살펴보면, 참여대상은 중·고등학생(0.87)이 가장 크고, 다음으로 대학생(0.68), 군인(0.28) 순으로 나타났다. 또한, 프로그램의 총 회기가 12회기 이상이며, 전체 기간이 13주 이상일 경우 평균효과 크기가 가장 컸다. 셋째, 예비부모교육 프로그램의 종속변인을 정보제공, 신념변화(자기 관련, 양육 관련), 기술습득으로 분류하여 분석한 결과, 정보제공(1.00)이 큰 효과 크기로 나타났으며, 기술습득(0.74), 양육(0.63) 및 자기와 관련된 신념변화(0.62)가 중간 효과 크기로 나타났으나, 각 종속변인별 평균효과 크기 차이가 유의미하지 않았다. 이러한 결과를 토대로 향후 연구 및 정책에 대한 제언을 논의하였다. The purpose of this article is to examine studies on the effects of pre-parent education programs and to draw comprehensive and consistent conclusions through meta-analysis. According to the PICOS, 23 studies conducted from 1996 to 2021 were finally selected and meta-analysised. The results of this study are as follows. First, the overall mean effect size of the pre-parent education program was 0.68, indicating a medium effect size. Second, a comparison of the mean effect size by group of participants revealed that the effect size of adolescents(0.87) group was the largest, followed by the group of college students(0.68) and the group of soldiers(0.28). It was also found to be most effective when the total period of sessions was 12 sessions, the total period of program was more than 13 weeks. Third, according to the dependent variable, information offering(1.00) was shown to be of a large effect size, and skill acquisition(0.74) and changes in parenting(0.63) and self-related beliefs(0.62) were shown to be of medium effect size. Suggestions and implications were discussed based on the findings.

Set up of cutoff thresholds for kinship determination using SNP loci

Cho, Sohee,Shin, Eun Soon,Yu, Hyung Jin,Lee, Ji Hyun,Seo, Hee Jin,Kim, Moon Young,Lee, Soong Deok ELSEVIER SCIENCE B V AMSTERDAM 2017 FORENSIC SCIENCE INTERNATIONAL GENETICS Vol.29 No.-

<P><B>Abstract</B></P> <P>The usefulness of single nucleotide polymorphism (SNP) loci for kinship testing has been demonstrated in many case works, and suggested as a promising marker for relationship identification. For interpreting results based on the calculation of the likelihood ratio (LR) in kinship testing, it is important to prepare cutoffs for respective relatives which are dependent on genetic relatedness. For this, analysis using true pedigree data is significant and reliable as it reflects the actual frequencies of markers in the population. In this study, the kinship index was explored through 1209 parent-child pairs, 1373 full sibling pairs, and 247 uncle-nephew pairs using 136 SNP loci. The cutoffs for LR were set up using different numbers of SNP loci with accuracy, sensitivity, and specificity. It is expected that this study can support the application of SNP loci-based kinship testing for various relationships.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Discriminatory power of 80 SNP loci was suitable for parent-child relationships. </LI> <LI> Applying 136 SNP loci applied to analysis was sufficient for full-sibling determination with the highest accuracy and sensitivity. </LI> <LI> Indistinguishable full-sibling relationships with only 15 STR data were successfully resolved by SNP data with significant difference in the median value. </LI> </UL> </P>

Biogeographic origin and genetic characteristics of the peopling of Jeju Island based on lineage markers

Cho Sohee,Kim Moon-Young,Lee Soong Deok 한국유전학회 2023 Genes & Genomics Vol.45 No.3

Background Jeju Island is the largest island of South Korea, located southwest far from the mainland of Korea, and has a unique history and its own cultures that are distinguished from those of the other regions of the Korean mainland. However, the Jeju population has not been deeply investigated to date to understand their genetic structure, which may reflect their historical and geographical background. Objective To identify the genetic characteristics and biogeographic origin of people of Jeju Island based on the statistical analysis of genetic data using lineage markers. Methods 17 Y-STRs data for 615 unrelated males and mitochondrial DNA haplogroup data for 799 unrelated individuals residing on Jeju Island were generated, and analyzed to investigate genetic diversity and genetic characteristics using statistical methods including pairwise Fst or Rst, Analysis of molecular variance (AMOVA) and Multidimensional scaling (MDS). Results For male individuals of Jeju Island, unique genetic characteristics were observed in the analysis of Y-STRs, including low haplotype diversity, strong association with surnames, genetic difference from other regions of Korea, and common genetic variation of the Y-STR loci known to be predominant in Northern populations, such as Mongolians. Statistical analysis of the mitochondrial DNA haplogroups also revealed similar results that showed low haplogroup diversity and high frequency of haplogroup Y prevalent mostly in ethnic populations around the Sea of Okhotsk in Northeastern Asia. All these results suggest that Jeju Island is genetically distinct from other regions of Korea, possibly being a subpopulation in Korea, and related closely to Northern Asian populations. Conclusion The findings in the genetic approach could support understanding of the historical background of Jeju Island that is consistent with evidence from other multidisciplinary studies.

Independent validation of DNA-based approaches for age prediction in blood

Cho, Sohee,Jung, Sang-Eun,Hong, Sae Rom,Lee, Eun Hee,Lee, Ji Hyun,Lee, Soong Deok,Lee, Hwan Young Elsevier 2017 Forensic science international. Genetics Vol.29 No.-

<P><B>Abstract</B></P> <P>Numerous molecular biomarkers have been proposed as predictors of chronological age. Among them, T-cell specific DNA rearrangement and DNA methylation markers have been introduced as forensic age predictors in blood because of their high prediction accuracy. These markers appear highly promising, but for better application to forensic casework sample analysis the proposed markers and genotyping methods must be tested further. In the current study, signal-joint T-cell receptor excision circles (sjTRECs) and DNA methylation markers located in the <I>ELOVL2, C1orf132, TRIM59, KLF14,</I> and <I>FHL2</I> genes were reanalyzed in 100 Korean blood samples to test their associations with chronological age, using the same analysis platform used in previous reports. Our study replicated the age association test for sjTREC and DNA methylation markers in the 5 genes in an independent validation set of 100 Koreans, and proved that the age predictive performance of the previous models is relatively consistent across different population groups. However, the extent of age association at certain CpG loci was not identical in the Korean and Polish populations; therefore, several age predictive models were retrained with the data obtained here. All of the 3 models retrained with DNA methylation and/or sjTREC data have a CpG site each from the <I>ELOVL2</I> and <I>FHL2</I> genes in common, and produced better prediction accuracy than previously reported models. This is attributable to the fact that the retrained model better fits the existing data and that the calculated prediction accuracy could be higher when the training data and the test data are the same. However, it is notable that the combination of different types of markers, i.e., sjTREC and DNA methylation, improved prediction accuracy in the eldest group. Our study demonstrates the usefulness of the proposed markers and the genotyping method in an independent dataset, and suggests the possibility of combining different types of DNA markers to improve prediction accuracy.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Age association of sjTREC and DNA methylation in the <I>ELOVL2, C1orf132, TRIM59, KLF14</I>, and <I>FHL2</I> genes were reanalyzed in 100 Korean blood samples. </LI> <LI> Our study successfully replicated the age association test for sjTREC and DNA methylation in the 5 genes. </LI> <LI> The age predictive performance of previously reported models is relatively consistent in different population groups. </LI> <LI> The extent of age association at certain CpG loci differed between the Korean and Polish populations. </LI> <LI> Combination of DNA methylation and sjTREC improved the prediction accuracy in the eldest group. </LI> </UL> </P>

Negative Media Tone and Leverage Adjustments

Sohee Park(박소희),Hyungjin Cho(조형진),Meeok Cho(조미옥) 한국증권학회 2024 한국증권학회지 Vol.53 No.2

본 논문은 기업과 관련한 부정적인 언론보도가 기업의 자본구조조정(capital structure adjustment)에 어떤 영향을 미치는지를 분석한다. 국내 상장기업을 대상으로 자본구조에 관한 부분조정모형을 활용하여 실증분석을 한 결과는 다음과 같다. 첫째, 부정적인 언론 보도가 많을수록 기업은 실제 자본구조를 목표수준으로 빠르게 조절하는 것을 발견하였다. 둘째, 앞서 발견한 결과가 대규모기업집단(재벌)에 속하지 않은 기업에서 강하게 나타남을 보였다. 셋째, 기업의 자본구조조정과 관련한 언론의 감시역할(monitoring role)은 외부이해관계자(재무분석가 및 대형회계법인)로부터 더 많은 감시가 이루어 지거나, 기업지배구조(외국인지분율 및 사외이사의 수)가 우수한 경우에 두드러짐을 확인했다. 본 연구의 결과는 언론이 부정적인 보도를 통해 기업의 자본구조조정에 대한 감시역할을 효과적으로 수행하고 있음을 시사한다. This paper examines how negative publicity influences firms’ capital structure decision. We find that firms exhibit faster adjustment of capital structure toward the target level after more negative media coverage, advocating the monitoring role of negative media sentiment on corporate behaviors. Further, our finding is significantly stronger for non-chaebol firms. Additional analyses show that the monitoring role is stronger when firms are more scrutinized by outsiders and have better corporate governance. Overall, this paper shows evidence that negative media sentiment could play an effective role in monitoring firms’ capital structure and correcting their inefficiencies.

Kinship Testing Based on SNPs Using Microarray System

Cho, Sohee,Seo, Hee Jin,Lee, Jihyun,Yu, Hyung Jin,Lee, Soong Deok S. Karger GmbH 2016 Transfusion medicine and hemotherapy Vol.43 No.6

<P>Background: Kinship testing using biallelic SNP markers has been demonstrated to be a promising approach as a supplement to standard STR typing, and several systems, such as pyrosequencing and microarray, have been introduced and utilized in real forensic cases. The Affymetrix microarray containing 169 autosomal SNPs developed for forensic application was applied to our practical case for kinship analysis that had remained inconclusive due to partial STR profiles of degraded DNA and possibility of inbreeding within the population. Case Report: 169 autosomal SNPs were typed on array with severely degraded DNA of two bone samples, and the kinship compared to genotypes in a reference database of their putative family members. Results: Two bone samples remained unidentified through traditional STR typing with partial profiles of 10 or 14 of 16 alleles. Because these samples originated from a geographically isolated population, a cautious approach was required when analyzing and declaring true paternity only based on PI values. In a supplementary SNP typing, 106 and 78 SNPs were obtained, and the match candidates were found in each case with improved PI values than using only STRs and with no discrepant SNPs in comparison. Conclusion: Our case showed that the utility of multiple SNPs on array is expected in practical forensic case works with an establishment of reference database. (C) 2016 S. Karger GmbH, Freiburg</P>

Identification of bone remains involved in Jeju 4.3 incident through forensic SNP analysis

Sohee Cho,Moon-Young Kim,Soong Deok Lee 대한체질인류학회 2019 대한체질인류학회 학술대회 연제 초록 Vol.62 No.-

Visualization of Convolutional Neural Networks for Time Series Input Data

Sohee Cho(조소희),Jaesik Choi(최재식) Korean Institute of Information Scientists and Eng 2020 정보과학회논문지 Vol.47 No.5

Globally, the use of artificial intelligence (AI) applications has increased in a variety of industries from manufacturing, to health care to the financial sector. As a result, there is a growing interest in explainable artificial intelligence (XAI), which can provide explanations of what happens inside AI. Unlike previous work using image data, we visualize hidden nodes for a time series. To interpret which patterns of a node make more effective model decisions, we propose a method of arranging nodes in a hidden layer. The hidden nodes sorted by weight matrix values show which patterns significantly affected the classification. Visualizing hidden nodes explains a process inside the deep learning model, as well as enables the users to improve their understanding of time series data.

A novel approach of kinship determination based on the physical length of genetically shared regions of chromosomes

Cho Sohee,Shin Eunsoon,Park Yoon Gi,Choi Seung Ho,Choe Eun Kyung,Bae Jung Ho,Lee Jong-Eun,Lee Soong Deok 한국유전학회 2024 Genes & Genomics Vol.46 No.5

Background Determination of genetic relatedness between individuals plays a crucial role in resolving numerous civil cases involving familial relationships and in forensic investigation concerning missing persons. Short tandem repeats (STRs), known for their high degree of DNA polymorphism, have traditionally been the primary choice of DNA markers in genetic testing, but their application for kinships testing is limited to cases involving close kinship. SNPs have emerged as promising supplementary markers for kinship determination. Nevertheless, the challenging remains in discriminating between third-degree or more distant relatives, such as first cousins, using SNPs. Objective To investigate a kinship analysis method for distant degree of familial relationships using high-density SNP data. Methods A high-density SNP data from 337 individuals of Korean families using Affymetrix Axiom KORV1.0-96 Array was obtained for this study. SNPs were aligned by chromosomal positions, and identity-by-state (IBS) was determined, and then shared regions as consecutive SNPs with IBS of 1 or 2 were investigated. The physical lengths of these IBS segments were measured and summed them to create an Index, as a measure of kinship. Results The kinship was determined by the physical length of shared chromosomal regions that are distinguished by each kinship. Using this method, the relationship was able be distinguished up to the fourth degree of kinship, and non-relatives were clearly distinguished from true relatives. We also found a potential for this approach to be used universally, regardless of microarray platforms for SNP genotyping and populations. Conclusion This method has a potential to determine the different degree of kinship between individuals and to distinguish non-relatives from true relatives, which can be of great help for practical applications in kinship determination. Background Determination of genetic relatedness between individuals plays a crucial role in resolving numerous civil cases involving familial relationships and in forensic investigation concerning missing persons. Short tandem repeats (STRs), known for their high degree of DNA polymorphism, have traditionally been the primary choice of DNA markers in genetic testing, but their application for kinships testing is limited to cases involving close kinship. SNPs have emerged as promising supplementary markers for kinship determination. Nevertheless, the challenging remains in discriminating between third-degree or more distant relatives, such as first cousins, using SNPs. Objective To investigate a kinship analysis method for distant degree of familial relationships using high-density SNP data. Methods A high-density SNP data from 337 individuals of Korean families using Affymetrix Axiom KORV1.0-96 Array was obtained for this study. SNPs were aligned by chromosomal positions, and identity-by-state (IBS) was determined, and then shared regions as consecutive SNPs with IBS of 1 or 2 were investigated. The physical lengths of these IBS segments were measured and summed them to create an Index, as a measure of kinship. Results The kinship was determined by the physical length of shared chromosomal regions that are distinguished by each kinship. Using this method, the relationship was able be distinguished up to the fourth degree of kinship, and non-relatives were clearly distinguished from true relatives. We also found a potential for this approach to be used universally, regardless of microarray platforms for SNP genotyping and populations. Conclusion This method has a potential to determine the different degree of kinship between individuals and to distinguish non-relatives from true relatives, which can be of great help for practical applications in kinship determination.

Validation of the Utility of the Genetically Shared Regions of Chromosomes (GD-ICS) Measuring Method in Identifying Complicated Genetic Relatedness

Cho Sohee,Shin Eunsoon,Park YoonGi,You Haeun,Lee Eun Young,Lee Jong-Eun,Lee Soong Deok 대한의학회 2024 Journal of Korean medical science Vol.39 No.27

Background: Relatives share more genomic regions than unrelated individuals, with closer relatives sharing more regions. This concept, paired with the increased availability of highthroughput single nucleotide polymorphism (SNP) genotyping technologies, has made it feasible to measure the shared chromosomal regions between individuals to assess their level of relation to each other. However, such techniques have remained in the conceptual rather than practical stages in terms of applying measures or indices. Recently, we developed an index called “genetic distance-based index of chromosomal sharing (GD-ICS)” utilizing large-scale SNP data from Korean family samples and demonstrated its potential for practical applications in kinship determination. In the current study, we present validation results from various real cases demonstrating the utility of this method in resolving complex familial relationships where information obtained from traditional short tandem repeats (STRs) or lineage markers is inconclusive. Methods: We obtained large-scale SNP data through microarray analysis from Korean individuals involving 13 kinship cases and calculated GD-ICS values using the method described in our previous study. Based on the GD-ICS reference constructed for Korean families, each disputed kinship was evaluated and validated using a combination of traditional STRs and lineage markers. Results: The cases comprised those A) that were found to be inconclusive using the traditional approach, B) for which it was difficult to apply traditional testing methods, and C) that were more conclusively resolved using the GD-ICS method. This method has overcome the limitations faced by traditional STRs in kinship testing, particularly in a paternity case with STR mutational events and in confirming distant kinship where the individual of interest is unavailable for testing. It has also been demonstrated to be effective in identifying various relationships without specific presumptions and in confirming a lack of genetic relatedness between individuals. Conclusion: This method has been proven effective in identifying familial relationships across diverse complex and practical scenarios. It is not only useful when traditional testing methods fail to provide conclusive results, but it also enhances the resolution of challenging kinship cases, which suggests its applicability in various types of practical casework.