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Sang-Hyuk Jeong

Ewha Womans University · 医学

研究室紹介

Professor Sang-Hyuk Jeong's research lab specializes in integrative biomedical sciences, focusing on the genetic and molecular underpinnings of complex diseases such as chronic kidney disease, Alzheimer’s disease, and metabolic syndrome. The lab leverages large-scale biobanks, multi-omics data integration, and advanced statistical genetics to uncover the heritability and biological pathways underlying disease susceptibility. A central theme is the application of polygenic risk scores and genome-wide association studies to translate genetic findings into clinical and public health insights.

genetic riskmulti-omics integrationchronic kidney diseaseAlzheimer’s diseasepolygenic risk scores

Research Overview

Papers
150
Total Citations
1,689
Papers (5y)
72
Primary Field
医学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
72total
2022
2023
2024
2025
2026
Citations per year (5y)
868total
20222023202420252026

Selected Papers

15
1
Article|338 citations·2019
IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge
Prasanna Porwal, Samiksha Pachade, Manesh Kokare, Girish Deshmukh, Jaemin Son, Woong Bae, Lihong Liu, Jianzong Wang, Xinhui Liu, Liangxin Gao, TianBo Wu, Jing Xiao
SJR Q1Medical Image AnalysisOA
Radiology, Nuclear Medicine and ImagingMedicine
2
Article|174 citations·2025
Global, regional, and national burden of chronic kidney disease in adults, 1990–2023, and its attributable risk factors: a systematic analysis for the Global Burden of Disease Study 2023
Masayuki Teramoto, Lauryn K Stafford, Morgan E. Grams, Hasan Aalruz, Samar Abd ElHafeez, Ahmed A. Abdelgalil, Rizwan Suliankatchi Abdulkader, Hansani Madushika Abeywickrama, Olugbenga Olusola Abiodun, Dmitry Abramov, Mohammed Mehdi Abrar, Lucas Guimarães Abreu
SJR Q1The LancetOA

BACKGROUND: Chronic kidney disease (CKD) is common and ranks among the leading causes of mortality and morbidity. This analysis aimed to present global CKD estimates using the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2023 to inform evidence-based policies for CKD identification and treatment. METHODS: This analysis focused on adults aged 20 years and older over the period 1990 to 2023, from 204 countries and territories. Data sources used were published literature, vital

NephrologyMedicine
3
Article|97 citations·2002
A Longitudinal Study of the Effects of Tobacco Smoking and Other Modifiable Risk Factors on Ill Health in Middle-Aged and Old Americans
Truls Østbye, Donald H. Taylor, Sang‐Hyuk Jung
SJR Q1Preventive Medicine
HealthSocial Sciences
4
Review|97 citations·2024
Harnessing Artificial Intelligence in Multimodal Omics Data Integration: Paving the Path for the Next Frontier in Precision Medicine
Yonghyun Nam, Jaesik Kim, Sang‐Hyuk Jung, Jakob Woerner, Erica Suh, Dong‐Gi Lee, Manu Shivakumar, Matthew E. Lee, Dokyoon Kim
SJR Q1Annual Review of Biomedical Data ScienceOA

The integration of multiomics data with detailed phenotypic insights from electronic health records marks a paradigm shift in biomedical research, offering unparalleled holistic views into health and disease pathways. This review delineates the current landscape of multimodal omics data integration, emphasizing its transformative potential in generating a comprehensive understanding of complex biological systems. We explore robust methodologies for data integration, ranging from concatenation-ba

Molecular BiologyBiochemistry, Genetics and Molecular Biology
5
Article|61 citations·2022
Polygenic risk for type 2 diabetes, lifestyle, metabolic health, and cardiovascular disease: a prospective UK Biobank study
Jae‐Seung Yun, Sang‐Hyuk Jung, Manu Shivakumar, Brenda Xiao, Amit V. Khera, Hong‐Hee Won, Dokyoon Kim
SJR Q1Cardiovascular DiabetologyOA

BACKGROUND: Few studies have examined associations between genetic risk for type 2 diabetes (T2D), lifestyle, clinical risk factors, and cardiovascular disease (CVD). We aimed to investigate the association of and potential interactions among genetic risk for T2D, lifestyle behavior, and metabolic risk factors with CVD. METHODS: A total of 345,217 unrelated participants of white British descent were included in analyses. Genetic risk for T2D was estimated as a genome-wide polygenic risk score co

GeneticsBiochemistry, Genetics and Molecular Biology
6
Article|61 citations·2021
Genome-wide association study of occupational attainment as a proxy for cognitive reserve
Hyunwoong Ko, Soyeon Kim, Kiwon Kim, Sang‐Hyuk Jung, Injeong Shim, Soojin Cha, Hyewon Lee, Beomsu Kim, Joohyun Yoon, Tae Hyon Ha, Seyul Kwak, Jae Myeong Kang
SJR Q1BrainOA

Occupational attainment, which represents middle-age cognitive activities, is a known proxy marker of cognitive reserve for Alzheimer's disease. Previous genome-wide association studies have identified numerous genetic variants and revealed the genetic architecture of educational attainment, another marker of cognitive reserve. However, the genetic architecture and heritability for occupational attainment remain elusive. We performed a large-scale genome-wide association study of occupational at

GeneticsBiochemistry, Genetics and Molecular Biology
7
Article|58 citations·2024
Multivariate genomic analysis of 5 million people elucidates the genetic architecture of shared components of the metabolic syndrome
Sanghyeon Park, Soyeon Kim, Beomsu Kim, Dan Say Kim, Jaeyoung Kim, Yeeun Ahn, Hyejin Kim, Minku Song, Injeong Shim, Sang‐Hyuk Jung, Chamlee Cho, Soo‐Hyun Lim
SJR Q1Nature GeneticsOA

Metabolic syndrome (MetS) is a complex hereditary condition comprising various metabolic traits as risk factors. Although the genetics of individual MetS components have been investigated actively through large-scale genome-wide association studies, the conjoint genetic architecture has not been fully elucidated. Here, we performed the largest multivariate genome-wide association study of MetS in Europe (nobserved = 4,947,860) by leveraging genetic correlation between MetS components. We identif

GeneticsBiochemistry, Genetics and Molecular Biology
8
Article|56 citations·2023
Large multi-ethnic genetic analyses of amyloid imaging identify new genes for Alzheimer disease
Muhammad Ali, Derek B. Archer, Priyanka Gorijala, Daniel Western, Jigyasha Timsina, María Victoria Fernández, Ting‐Chen Wang, Claudia L. Satizábal, Qiong Yang, Alexa Beiser, Ruiqi Wang, Gengsheng Chen
SJR Q1Acta Neuropathologica CommunicationsOA

Abstract Amyloid PET imaging has been crucial for detecting the accumulation of amyloid beta (Aβ) deposits in the brain and to study Alzheimer’s disease (AD). We performed a genome-wide association study on the largest collection of amyloid imaging data (N = 13,409) to date, across multiple ethnicities from multicenter cohorts to identify variants associated with brain amyloidosis and AD risk. We found a strong APOE signal on chr19q.13.32 (top SNP: APOE ɛ4; rs429358; β = 0.35, SE = 0.01, P = 6.2

PhysiologyMedicine
9
Review|46 citations·2022
Transferability of Alzheimer Disease Polygenic Risk Score Across Populations and Its Association With Alzheimer Disease-Related Phenotypes
Sang‐Hyuk Jung, Hang‐Rai Kim, Min Young Chun, Hyemin Jang, Minyoung Cho, Beomsu Kim, Soyeon Kim, Jee Hyang Jeong, Soo Jin Yoon, Kyung Won Park, Eun‐Joo Kim, Bora Yoon
SJR Q1JAMA Network OpenOA

Importance: Polygenic risk scores (PRSs), which aggregate the genetic effects of single-nucleotide variants identified in genome-wide association studies (GWASs), can help distinguish individuals at a high genetic risk for Alzheimer disease (AD). However, genetic studies have predominantly focused on populations of European ancestry. Objective: To evaluate the transferability of a PRS for AD in the Korean population using summary statistics from a prior GWAS of European populations. Design, Sett

GeneticsBiochemistry, Genetics and Molecular Biology
10
Article|40 citations·2022
Development and validation of a novel strong prognostic index for colon cancer through a robust combination of laboratory features for systemic inflammation: a prognostic immune nutritional index
Sang‐Hyuk Jung, Jie Hao, Manu Shivakumar, Yonghyun Nam, Jaesik Kim, Min Jung Kim, Seung‐Bum Ryoo, Eun Kyung Choe, Seung‐Yong Jeong, Kyu Joo Park, Sung Chan Park, Dae Kyung Sohn
SJR Q1British Journal of CancerOA
OncologyMedicine
11
Article|33 citations·2024
Large-scale cross-ancestry genome-wide meta-analysis of serum urate
Chamlee Cho, Beomsu Kim, Dan Say Kim, Mi Yeong Hwang, Injeong Shim, Minku Song, Yeong Chan Lee, Sang‐Hyuk Jung, Sung Kweon Cho, Woong‐Yang Park, Woojae Myung, Bong-Jo Kim
SJR Q1Nature CommunicationsOA

Hyperuricemia is an essential causal risk factor for gout and is associated with cardiometabolic diseases. Given the limited contribution of East Asian ancestry to genome-wide association studies of serum urate, the genetic architecture of serum urate requires exploration. A large-scale cross-ancestry genome-wide association meta-analysis of 1,029,323 individuals and ancestry-specific meta-analysis identifies a total of 351 loci, including 17 previously unreported loci. The genetic architecture

NephrologyMedicine
12
Preprint|32 citations·2018
WonDerM: Skin Lesion Classification with Fine-tuned Neural Networks
Yeong Chan Lee, Sang‐Hyuk Jung, Hong‐Hee Won
arXiv (Cornell University)OA

As skin cancer is one of the most frequent cancers globally, accurate, non-invasive dermoscopy-based diagnosis becomes essential and promising. A task of the Part 3 of the ISIC Skin Image Analysis Challenge at MICCAI 2018 is to predict seven disease classes with skin lesion images, including melanoma (MEL), melanocytic nevus (NV), basal cell carcinoma (BCC), actinic keratosis / Bowen's disease (intraepithelial carcinoma) (AKIEC), benign keratosis (solar lentigo / seborrheic keratosis / lichen pl

OncologyMedicine
13
Article|23 citations·2022
A deep learning model for screening type 2 diabetes from retinal photographs
Jae‐Seung Yun, Jaesik Kim, Sang‐Hyuk Jung, Seon‐Ah Cha, Seung‐Hyun Ko, Yu‐Bae Ahn, Hong‐Hee Won, Kyung-Ah Sohn, Dokyoon Kim
SJR Q1Nutrition Metabolism and Cardiovascular DiseasesOA
Radiology, Nuclear Medicine and ImagingMedicine
14
Article|16 citations·2024
Association between genetic risk and adherence to healthy lifestyle for developing age-related hearing loss
Sang‐Hyuk Jung, Young Chan Lee, Manu Shivakumar, Jaeyoung Kim, Jae‐Seung Yun, Woong‐Yang Park, Hong‐Hee Won, Penn Medicine Biobank, Dokyoon Kim
SJR Q1BMC MedicineOA

BACKGROUND: Previous studies have shown that lifestyle/environmental factors could accelerate the development of age-related hearing loss (ARHL). However, there has not yet been a study investigating the joint association among genetics, lifestyle/environmental factors, and adherence to healthy lifestyle for risk of ARHL. We aimed to assess the association between ARHL genetic variants, lifestyle/environmental factors, and adherence to healthy lifestyle as pertains to risk of ARHL. METHODS: This

Sensory SystemsNeuroscience
15
Article|13 citations·2006
A longitudinal study of the relationship between health behavior risk factors and dependence in activities of daily living.
Sang‐Hyuk Jung, Truls Østbye, Kyoung‐Ok Park
PubMed

OBJECTIVES: The purpose of this study was to shed further light on the effect of modifiable health behavior risk factors on dependence in activities of daily living, defined in a multidimensional fashion. METHODS: The study participants were 10,278 middle aged Americans in a longitudinal health study, the Health and Retirement Survey (HRS). A multi-stage probability sampling design incorporating the effect of population sizes (Metropolitan and non-metropolitan), ethnicity (the non-Hispanic White

PhysiologyMedicine

Research Areas

GeneticsMolecular BiologyPhysiologyGeneral Health ProfessionsAnesthesiology and Pain MedicineOncology

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