Match tier
Confirmed
Presence
Current · Arkansas
Last published
2025
Sources
OpenAlex · ORCID
Refreshed
2026-08-06
Biography and Research Information
OverviewAI-generated summary
Tsung‐Jen Liao's research focuses on understanding the mechanisms and genetic factors contributing to drug-induced liver injury (DILI). His work investigates the role of UDP-Glucuronosyltransferase (UGT) enzymes in drug interactions that predict DILI and explores the impact of single-nucleotide polymorphisms (SNPs) as risk factors for chronic DILI, employing machine learning approaches for identification. Liao has also utilized whole exome sequencing to identify genetic variants, such as those in HLA class II genes, associated with transplant-free survival in acute liver failure, and variants in GBP4 that reduce risks for DILI in specific populations. His research extends to computational modeling for predicting drug and chemical hepatotoxicity and quantitative structure-activity relationship (QSAR) modeling for DILI prediction. Liao's scholarly contributions include 23 publications and 300 citations, with an h-index of 8. He collaborates with researchers at the National Center for Toxicological Research, including Minjun Chen, Baitang Ning, Kristin Ashby, and Tucker A. Patterson.
Metrics
- h-index: 8
- Publications: 23
- Citations: 300
Selected Publications
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Identification of Genetic Risk Factors Associated With Herbal and Dietary Supplement–Induced Acute Liver Failure Using Whole Exome Sequencing Analysis (2025)
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Genetic Variants of <i>GBP4</i>: Reduced Risks for Drug‐Induced Acute Liver Failure in Non‐Finnish European Population (2025)
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Drug interaction with UDP-Glucuronosyltransferase (UGT) enzymes is a predictor of drug-induced liver injury (2024)
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Medical device report analyses from MAUDE: Device and patient outcomes, adverse events, and sex-based differential effects (2024)
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QSAR modeling for predicting drug-induced liver injury (2023)
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DILIrank dataset for QSAR modeling of drug-induced liver injury (2023)
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Computational Modeling for the Prediction of Hepatotoxicity Caused by Drugs and Chemicals (2023)
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Whole Exome Sequencing Reveals Genetic Variants in HLA Class II Genes Associated With Transplant-free Survival of Indeterminate Acute Liver Failure (2022)
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Machine Learning to Identify Interaction of Single-Nucleotide Polymorphisms as a Risk Factor for Chronic Drug-Induced Liver Injury (2021)
Collaboration Network
Top Collaborators
Minjun Chen
National Center for Toxicological Research
9 shared publications
In database
- Drug interaction with UDP-Glucuronosyltransferase (UGT) enzymes is a predictor of drug-induced liver injury
- Machine Learning to Identify Interaction of Single-Nucleotide Polymorphisms as a Risk Factor for Chronic Drug-Induced Liver Injury
- Medical device report analyses from MAUDE: Device and patient outcomes, adverse events, and sex-based differential effects
- Whole Exome Sequencing Reveals Genetic Variants in HLA Class II Genes Associated With Transplant-free Survival of Indeterminate Acute Liver Failure
- Computational Modeling for the Prediction of Hepatotoxicity Caused by Drugs and Chemicals
Showing 5 of 9 shared publications
Huixiao Hong
National Center for Toxicological Research
3 shared publications
In database
- Whole Exome Sequencing Reveals Genetic Variants in HLA Class II Genes Associated With Transplant-free Survival of Indeterminate Acute Liver Failure
- Computational Modeling for the Prediction of Hepatotoxicity Caused by Drugs and Chemicals
- DILIrank dataset for QSAR modeling of drug-induced liver injury
Jody A. Rule
The University of Texas Southwestern Medical Center (US)
3 shared publications
- Whole Exome Sequencing Reveals Genetic Variants in HLA Class II Genes Associated With Transplant-free Survival of Indeterminate Acute Liver Failure
- Genetic Variants of <i>GBP4</i>: Reduced Risks for Drug‐Induced Acute Liver Failure in Non‐Finnish European Population
- Identification of Genetic Risk Factors Associated With Herbal and Dietary Supplement–Induced Acute Liver Failure Using Whole Exome Sequencing Analysis
William M. Lee
The University of Texas Southwestern Medical Center (US)
3 shared publications
- Whole Exome Sequencing Reveals Genetic Variants in HLA Class II Genes Associated With Transplant-free Survival of Indeterminate Acute Liver Failure
- Genetic Variants of <i>GBP4</i>: Reduced Risks for Drug‐Induced Acute Liver Failure in Non‐Finnish European Population
- Identification of Genetic Risk Factors Associated With Herbal and Dietary Supplement–Induced Acute Liver Failure Using Whole Exome Sequencing Analysis
Kristin Ashby
National Center for Toxicological Research
2 shared publications
In database
- Machine Learning to Identify Interaction of Single-Nucleotide Polymorphisms as a Risk Factor for Chronic Drug-Induced Liver Injury
- Computational Modeling for the Prediction of Hepatotoxicity Caused by Drugs and Chemicals
Paul H. Hayashi
Center for Drug Evaluation and Research (US)
2 shared publications
- Whole Exome Sequencing Reveals Genetic Variants in HLA Class II Genes Associated With Transplant-free Survival of Indeterminate Acute Liver Failure
- Genetic Variants of <i>GBP4</i>: Reduced Risks for Drug‐Induced Acute Liver Failure in Non‐Finnish European Population
Jorge Rakela
WinnMed (US)
2 shared publications
- Whole Exome Sequencing Reveals Genetic Variants in HLA Class II Genes Associated With Transplant-free Survival of Indeterminate Acute Liver Failure
- Genetic Variants of <i>GBP4</i>: Reduced Risks for Drug‐Induced Acute Liver Failure in Non‐Finnish European Population
Weida Tong
National Center for Toxicological Research
2 shared publications
In database
- Computational Modeling for the Prediction of Hepatotoxicity Caused by Drugs and Chemicals
- DILIrank dataset for QSAR modeling of drug-induced liver injury
Baitang Ning
National Center for Toxicological Research
2 shared publications
In database
- DILIrank dataset for QSAR modeling of drug-induced liver injury
- Identification of Genetic Risk Factors Associated With Herbal and Dietary Supplement–Induced Acute Liver Failure Using Whole Exome Sequencing Analysis
Menghang Xia
National Center for Advancing Translational Sciences (US)
2 shared publications
- Genetic Variants of <i>GBP4</i>: Reduced Risks for Drug‐Induced Acute Liver Failure in Non‐Finnish European Population
- Identification of Genetic Risk Factors Associated With Herbal and Dietary Supplement–Induced Acute Liver Failure Using Whole Exome Sequencing Analysis
R. E. Moore
National Center for Toxicological Research
1 shared publication
In database
- Machine Learning to Identify Interaction of Single-Nucleotide Polymorphisms as a Risk Factor for Chronic Drug-Induced Liver Injury
Bohu Pan
National Center for Toxicological Research
1 shared publication
In database
- Whole Exome Sequencing Reveals Genetic Variants in HLA Class II Genes Associated With Transplant-free Survival of Indeterminate Acute Liver Failure
Daniel Ganger
Northwestern University (US)
1 shared publication
- Whole Exome Sequencing Reveals Genetic Variants in HLA Class II Genes Associated With Transplant-free Survival of Indeterminate Acute Liver Failure
Jie Liu
National Center for Toxicological Research
1 shared publication
In database
- Computational Modeling for the Prediction of Hepatotoxicity Caused by Drugs and Chemicals
Yue Wu
National Center for Toxicological Research (US)
1 shared publication
- Computational Modeling for the Prediction of Hepatotoxicity Caused by Drugs and Chemicals
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