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Eun-Jung Hong 2 Articles
Instability at Short Tandem Repeats in Lymphoblastoid Cell Lines
Jae-Eun Lee, Eun-Jung Hong, Ji-Hyun Kim, So Youn Shin, Young-Youl Kim, Bok-Ghee Han
Osong Public Health Res Perspect. 2013;4(4):194-196.   Published online August 31, 2013
DOI: https://doi.org/10.1016/j.phrp.2013.06.003
  • 1,851 View
  • 11 Download
  • 1 Citations
AbstractAbstract PDF
Objectives
Epstein Barr virus (EBV)-transformed lymphoblastoid cell lines (LCLs) are a useful biological resource, however, genomic variations can happen during the generation and immortalization processes of LCLs. The purpose of this study was to identify genomic variations in LCL DNA compared with matched blood DNA using short tandem repeats (STRs) analysis.
Methods
We analyzed 15 STRs with blood DNA and their matched LCL DNA samples from 6645 unrelated healthy individuals.
Results
Mutations (such as repeat variations and triallelic patterns) of 15 STR loci were detected in 612 LCL DNAs (9.2% of total) without mutations in their matched blood DNA. The repeat variations of 15 STRs were detected in 526 LCL DNAs (mutation rate = 0.0792) and triallelic patterns were identified in 123 (mutation rate = 0.0185). Among 15 STRs, the most common repeat variations (n = 214, mutation rate = 0.0322) and triallelic patterns (n = 17, mutation rate = 0.0026) were found at FGA locus.
Conclusion
Our study shows that mutations in STRs can occur during generation and immortalization of LCLs.

Citations

Citations to this article as recorded by  
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    Christopher Korch, Erin M. Hall, Wilhelm G. Dirks, Margaret Ewing, Mark Faries, Marileila Varella-Garcia, Steven Robinson, Douglas Storts, Jacqueline A. Turner, Ying Wang, Edward C. Burnett, Lyn Healy, Douglas Kniss, Richard M. Neve, Raymond W. Nims, Yvon
    International Journal of Cancer.2018; 142(3): 561.     CrossRef
National Biobank of Korea: Quality control Programs of Collected-human Biospecimens
Jae-Eun Lee, Ji-Hyun Kim, Eun-Jung Hong, Hye Sook Yoo, Hye-Young Nam, Ok Park
Osong Public Health Res Perspect. 2012;3(3):185-189.   Published online June 30, 2012
DOI: https://doi.org/10.1016/j.phrp.2012.07.007
  • 1,856 View
  • 15 Download
  • 16 Citations
AbstractAbstract PDF
Personalized medicine is emerging as a main paradigm for risk prediction, pre-diagnosis, and effective prevention and treatment of disease. A large number of human biospecimens and their clinical data are essential resources for the success of personalized medicine as well as other biomedical research. The National Biobank of Korea (NBK) has collected well-annotated and high quality human biospecimens, and distributes them to the Korean biomedical scientists, through the Korea Biobank Project (KBP). The ultimate goal of NBK activities is to promote biomedical research and public health. As of December- 2011, the NBK has collected various human biospecimens from 525,416 participants including 325,952 Korean populations and 199,464 patients. The purpose of this paper is to introduce the KBP and quality control programs for collection of human biospecimens with high quality of NBK.

Citations

Citations to this article as recorded by  
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    Pathogens and Disease.2021;[Epub]     CrossRef
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    International Journal of Environmental Research an.2021; 19(1): 107.     CrossRef
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    Peter Glynn, Philip Greenland
    European Journal of Epidemiology.2020; 35(1): 5.     CrossRef
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    Smadar Shilo, Hagai Rossman, Eran Segal
    Nature Medicine.2020; 26(1): 29.     CrossRef
  • Is the Random Forest Algorithm Suitable for Predicting Parkinson’s Disease with Mild Cognitive Impairment out of Parkinson’s Disease with Normal Cognition?
    Haewon Byeon
    International Journal of Environmental Research an.2020; 17(7): 2594.     CrossRef
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    Haewon Byeon
    Journal of Personalized Medicine.2020; 10(2): 31.     CrossRef
  • Exploring the Predictors of Rapid Eye Movement Sleep Behavior Disorder for Parkinson’s Disease Patients Using Classifier Ensemble
    Haewon Byeon
    Healthcare.2020; 8(2): 121.     CrossRef
  • DeepVariant-on-Spark: Small-Scale Genome Analysis Using a Cloud-Based Computing Framework
    Po-Jung Huang, Jui-Huan Chang, Hou-Hsien Lin, Yu-Xuan Li, Chi-Ching Lee, Chung-Tsai Su, Yun-Lung Li, Ming-Tai Chang, Sid Weng, Wei-Hung Cheng, Cheng-Hsun Chiu, Petrus Tang
    Computational and Mathematical Methods in Medicine.2020; 2020: 1.     CrossRef
  • Mini-Review of Laboratory Operations in Biobanking: Building Biobanking Resources for Translational Research
    Mine S. Cicek, Janet E. Olson
    Frontiers in Public Health.2020;[Epub]     CrossRef
  • Development of a depression in Parkinson's disease prediction model using machine learning
    Haewon Byeon
    World Journal of Psychiatry.2020; 10(10): 234.     CrossRef
  • Aspects of Modern Biobank Activity – Comprehensive Review
    Wiktor Paskal, Adriana M. Paskal, Tomasz Dębski, Maciej Gryziak, Janusz Jaworowski
    Pathology & Oncology Research.2018; 24(4): 771.     CrossRef
  • Optimization of RNA Extraction from Formalin-Fixed Paraffin-Embedded Blocks for Targeted Next-Generation Sequencing
    Yoojin Choi, Aeree Kim, Jinkyoung Kim, Jinhwan Lee, Soo Yeon Lee, Chungyeul Kim
    Journal of Breast Cancer.2017; 20(4): 393.     CrossRef
  • Biobank Regulation in South Korea
    Won Bok Lee
    Journal of Law, Medicine & Ethics.2016; 44(2): 342.     CrossRef
  • Standard based Deposit Guideline for Distribution of Human Biological Materials in Cancer Patients
    Hwa Jeong Seo, Hye Hyeon Kim, Jeong Soo Im, Ju Han Kim
    Asian Pacific Journal of Cancer Prevention.2014; 15(14): 5545.     CrossRef
  • Basis for Korean Genome Study
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2012; 3(3): 119.     CrossRef

PHRP : Osong Public Health and Research Perspectives