Jaeseong Oh

Dr. Jaeseong Oh

orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
4 June 2018 in Alimentary Pharmacology & Therapeutics
Verified
Journal Article
Closed access
PDF file
JSJung Sunwoo
Jung Sunwoo
JOJaeseong Oh
Jaeseong Oh
SMS. J. Moon
S. J. Moon
SJS. C. Ji
S. C. Ji
SLS. H. Lee
S. H. Lee
IJI.‐J. Jang
I.‐J. Jang

2 November 2022 in Experimental & Molecular Medicine
Verified
Journal Article
Open access
PDF file
JLJeongeun Lee
Jeongeun Lee
JLJean Lee
Jean Lee
SJSungwon Jeon
Sungwon Jeon
JLJeongha Lee
Jeongha Lee
IJInsu Jang
Insu Jang
MCMurim Choi
Murim Choi
Despite substantial advances in disease genetics, studies to date have largely focused on individuals of European descent. This limits further discoveries of novel functional genetic variants in other ethnic groups. To alleviate the paucity of East Asian population genome resources, we established the Korean Variant Archive 2 (KOVA 2), which is composed of 1896 whole-genome sequences and 3409 whole-exome sequences from healthy individuals of Korean ethnicity. This is the largest genome database from the ethnic Korean population to date, surpassing the 1909 Korean individuals deposited in gnomAD. The variants in KOVA 2 displayed all the known genetic features of those from previous genome databases, and we compiled data from Korean-specific runs of homozygosity, positively selected intervals, and structural variants. In doing so, we found loci, such as the loci ofADH1A/1BandUHRF1BP1, that are strongly selected in the Korean population relative to other East Asian populations. Our analysis of allele ages revealed a correlation between variant functionality and evolutionary age. The data can be browsed and downloaded from a public website (https://www.kobic.re.kr/kova/). We anticipate that KOVA 2 will serve as a valuable resource for genetic studies involving East Asian populations.

31 July 2022 in Healthcare Informatics Research
Verified
Journal Article
Open access
PDF file
KHKi Young Huh
Ki Young Huh
JOJaeseong Oh
Jaeseong Oh
SLSeungHwan Lee
SeungHwan Lee
KYKyung-Sang Yu
Kyung-Sang Yu
Objectives: Digital therapeutics (DTx) are software-based therapeutic interventions based on clinical evidence. Randomized clinical trials (RCTs) are often the source of clinical evidence, similar to conventional drugs or medical devices. However, novel approaches such as the use of real-world data or digital biomarkers are also utilized. This article aimed to review how DTx products have been clinically evaluated. Methods: DTx products approved by the US Food and Drug Administration as of 2020 were reviewed and products with sufficient published information were selected. Pivotal clinical trials were analyzed according to the elements of the Consolidated Standards of Reporting Trials (CONSORT) guideline. Case reviews were presented for other clinical evaluation strategies, considering the small number of publications. Results: Most approved DTx products used RCTs for clinical evaluations. Similar to conventional RCTs, parallel-group designs with statistical hypothesis testing were adopted. However, DTx trials were often not blinded due to practical issues and involved various comparator groups. In addition, DTx products could be readily evaluated in home-based settings and delivered through the internet. Other evaluation approaches included retrospective analyses using insurance claims data or usage data, which enabled long-term evaluations of effectiveness. Digital biomarkers obtained from real-time and continuous log data were also used to improve the objectiveness of endpoints. Conclusions: RCTs accounted for the majority of DTx evaluations. The designs of DTx trials were comparable to those of drug or device trials, but blinding and comparator elements were often different. Furthermore, the use of real-world data and digital biomarkers are also being tried.

1 November 2020 in Alimentary Pharmacology & Therapeutics
Verified
Journal Article
Closed access
JSJung Sunwoo
Jung Sunwoo
SJSang Chun Ji
Sang Chun Ji
JOJaeseong Oh
Jaeseong Oh
MBMu Seong Ban
Mu Seong Ban
JNJi Yeon Nam
Ji Yeon Nam
SLSeungHwan Lee
SeungHwan Lee

23 July 2016 in Journal of Visualized Experiments
Verified
Journal Article
Open access
PDF file
SASeong Joon Ahn
Seong Joon Ahn
HHHye Kyoung Hong
Hye Kyoung Hong
YNYoung Mi Na
Young Mi Na
SPSang Jun Park
Sang Jun Park
JAJeeyun Ahn
Jeeyun Ahn
Se Joon WooSe Joon Woo
Se Joon Woo
Rabbits are widely used to study the pharmacokinetics of intraocular drugs. We describe a method for conducting pharmacokinetic studies ...

18 September 2015 in Diabetes, Obesity and Metabolism
Verified
Journal Article
Closed access
PDF file
JOJaeseong Oh
Jaeseong Oh
HCH. Chung
H. Chung
SPS.‐I. Park
S.‐I. Park
SYS. J. Yi
S. J. Yi
KJK. Jang
K. Jang
JCJae-Yong Chung
Jae-Yong Chung