Sae Rom Hong
Yonsei University
8 Papers
6 Citations
Sae Rom Hong is an academic researcher from Yonsei University. The author has contributed to research in topics: DNA methylation & Gene. The author has an hindex of 6, co-authored 8 publications.
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Papers
DNA methylation-based age prediction from saliva: High age predictability by combination of 7 CpG markers
TL;DR: This study generated genome-wide DNA methylation profiles of saliva from 54 individuals and identified CpG markers that showed a high correlation between methylation and age and generated a linear regression model that enabled age prediction in saliva with high accuracy.
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DNA methylation of the ELOVL2, FHL2, KLF14, C1orf132/MIR29B2C, and TRIM59 genes for age prediction from blood, saliva, and buccal swab samples.
Sang Eun Jung,Seung Min Lim,Sae Rom Hong,Eun Hee Lee,Kyoung Jin Shin,Hwan Young Lee,Hwan Young Lee +6 more
TL;DR: The multiplex methylation SNaPshot assay and the age prediction models in this study would be useful in forensic analysis, which frequently involves DNA from blood, saliva, and buccal swab samples.
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Independent validation of DNA-based approaches for age prediction in blood.
TL;DR: This 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.
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Bisulfite-Converted DNA Quantity Evaluation: A Multiplex Quantitative Real-Time PCR System for Evaluation of Bisulfite Conversion
Sae Rom Hong,Kyoung Jin Shin +1 more
TL;DR: In this paper, a multiplex quantitative real-time PCR system named BisQuE was suggested to simultaneously analyze three important aspects of the bisulfite conversion step: conversion efficiency, recovery, and degradation level.
Platform-independent models for age prediction using DNA methylation data
TL;DR: The platform-independent age-prediction model was made extensible to an increasing number of platforms by introducing platform variables, and the idea of platform variables can be applied to age prediction models for other body fluids.
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