Early Progression Prediction in Korean Crohn’s Disease Using a Korean-Specific PrediXcan Model

Crohn's disease (CD) is a chronic inflammatory disorder with potential progression to stricturing (B2) or penetrating (B3) phenotypes, leading to significant complications. Early identification of patients at risk for these complications is critical for personalized management. This study aimed to develop a predictive model using clinical data and a Korean-specific transcriptome-wide association study (TWAS) to forecast early progression in CD patients. A retrospective analysis of 430 Korean CD patients from 15 hospitals was conducted. Genotyping was performed using the Korea Biobank Array, and gene expression predictions were derived from a TWAS model based on terminal ileum data. Logistic regression models incorporating clinical and gene expression data predicted progression to B2 or B3 within 24 months of diagnosis. Among the cohort, 13.9% (60 patients) progressed to B2 and 16.9% (73 patients) to B3. The combined model achieved mean area under the curve (AUC) values of 0.788 for B2 and 0.785 for B3 progression. Key predictive genes for B2 included <i>CCDC154</i>, <i>FAM189A2</i>, and <i>TAS2R19</i>, while <i>PUS7</i>, <i>CCDC146</i>, and <i>MLXIP</i> were linked to B3 progression. This integrative model provides a robust approach for identifying high-risk CD patients, potentially enabling early, targeted interventions to reduce disease progression and associated complications.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-03-23
DOI
https://doi.org/10.3390/ijms26072910
Citations
1
Primary Topic
Inflammatory Bowel Disease
Type
article
Field-Weighted Citation Impact
1.82

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article

Early Progression Prediction in Korean Crohn’s Disease Using a Korean-Specific PrediXcan Model

Ki Bae Bang, Sang‐Bum Kang, Hyun Gun Kim, Chang Kyun Lee et al.
1 citations
International Journal of Molecular Sciences
Inflammatory Bowel Disease
1.82
article

Early Progression Prediction in Korean Crohn’s Disease Using a Korean-Specific PrediXcan Model

Ki Bae Bang, Sang‐Bum Kang, Hyun Gun Kim, Chang Kyun Lee, Hyo Jong Kim, Tae-woo Kim, Jong Pil Im, Chang Hwan Choi, Jaeyoung Chun, Geom Seog Seo, Dongil Park, Soo Kyoung Park, Jae Myung, Suji Kim, Sangsoo Kim, Kwang‐Sung Ahn, Tae Oh Kim, Yunho Jung
article en
1 citations

Abstract

Crohn's disease (CD) is a chronic inflammatory disorder with potential progression to stricturing (B2) or penetrating (B3) phenotypes, leading to significant complications. Early identification of patients at risk for these complications is critical for personalized management. This study aimed to develop a predictive model using clinical data and a Korean-specific transcriptome-wide association study (TWAS) to forecast early progression in CD patients. A retrospective analysis of 430 Korean CD patients from 15 hospitals was conducted. Genotyping was performed using the Korea Biobank Array, and gene expression predictions were derived from a TWAS model based on terminal ileum data. Logistic regression models incorporating clinical and gene expression data predicted progression to B2 or B3 within 24 months of diagnosis. Among the cohort, 13.9% (60 patients) progressed to B2 and 16.9% (73 patients) to B3. The combined model achieved mean area under the curve (AUC) values of 0.788 for B2 and 0.785 for B3 progression. Key predictive genes for B2 included <i>CCDC154</i>, <i>FAM189A2</i>, and <i>TAS2R19</i>, while <i>PUS7</i>, <i>CCDC146</i>, and <i>MLXIP</i> were linked to B3 progression. This integrative model provides a robust approach for identifying high-risk CD patients, potentially enabling early, targeted interventions to reduce disease progression and associated complications.

International Journal of Molecular SciencesVol. 26(7)
Seoul National University (KR), Soongsil University (KR), Yonsei University (KR), Soonchunhyang University (KR), Kyung Hee University (KR), Inje University Haeundae Paik Hospital (KR), Kangbuk Samsung Hospital (KR), The Catholic University of Korea Daejeon St. Mary's Hospital (KR), Gangnam Severance Hospital (KR), Kyung Hee University Hospital at Gangdong (KR), Chung-Ang University (KR), Wonkwang University (KR), Sungkyunkwan University (KR), Dankook University (KR)
National Research Foundation
Openalex Percentile: Top 17%
Inflammatory Bowel Disease
1.82
DOIOpen Access PDFOpenAlex
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