A photo of Jing Chen.

Jing Chen, PhD


  • Assistant Professor, UC Department of Pediatrics
  • UC Department of Biomedical Informatics

About

Biography

My research areas involve genetics of preterm birth, phenomics for common and rare disorders, and genomics of pediatric cancers and congenital heart defects.

The goals I’m attempting to achieve in my research are: 1) developing computational processes to use electronic health records for the phenomics of genetic disorders and 2) developing analytics systems and algorithms to detect pathogenic genetic variants and improve our understanding of the etiology.

I have always enjoyed working with and managing big data. I am also happy to help patients, especially children. My career allows me to combine these interests and pursue biomedical informatics research. Along with my work as a data scientist, I am also an assistant professor at the University of Cincinnati.

One of my notable achievements is the development of computational methods and the web application of the ToppGene suite. I completed this work while pursuing my PhD under the mentorship of Drs. Bruce Aronow and Anil Jegga. The research community has welcomed this research and has appreciated the ToppGene publications and the application. These publications have had more than 2,000 citations.

When working as a researcher with Dr. Mario Medvedovic at the University of Cincinnati, we designed a statistical framework to link transcription factors with conditions and medications based on ChIP-seq and mRNA expression data. At Cincinnati Children’s Hospital Medical Center, with the help of Dr. Ge Zhang, I developed GDDP, which is an innovative phenotype-disease matching tool for rare genetic disorders. Our research also laid the groundwork for using electronic medical records to prioritize genetic disorders. Also, with Dr. Ge Zhang, we recently published a genetic study to understand the contribution of maternal and fetal genetic effects towards the associations between maternal phenotypes and birth outcomes.

I have more than 10 years’ experience in the biomedical informatics field and started working at the Cincinnati Children’s Hospital Medical Center in 2015. My research has been published in numerous journals including Genetics in Medicine, PLOS Medicine, Scientific Reports and Nucleic Acids Research.

Publications

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Novel phenotype-disease matching tool for rare genetic diseases. Chen, J; Xu, H; Jegga, A; Zhang, K; White, PS; Zhang, G. Genetics in Medicine. 2019; 21:339-346.

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Genome-wide signatures of transcription factor activity: connecting transcription factors, disease, and small molecules. Chen, J; Hu, Z; Phatak, M; Reichard, J; Freudenberg, JM; Sivaganesan, S; Medvedovic, M. PLoS Computational Biology. 2013; 9.

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Disease candidate gene identification and prioritization using protein interaction networks. Chen, J; Aronow, BJ; Jegga, AG. BMC Bioinformatics. 2009; 10.

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ToppGene Suite for gene list enrichment analysis and candidate gene prioritization. Chen, J; Bardes, EE; Aronow, BJ; Jegga, AG. Nucleic Acids Research. 2009; 37:W305-W311.

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Improved human disease candidate gene prioritization using mouse phenotype. Chen, J; Xu, H; Aronow, BJ; Jegga, AG. BMC Bioinformatics. 2007; 8.

Abstract 12446: Lipocalin10 Deficiency Exacerbates Myocardial Ischemia/Reperfusion Injury via Impairing Macrophage Efferocytosis. Li, Y; Wang, X; Huang, W; Li, Q; Wang, Y; Chen, J; Fan, G. Circulation. 2021; 144:a12446-a12446.

Sectm1a Facilitates Protection against Inflammation-Induced Organ Damage through Promoting TRM Self-Renewal. Mu, X; Fan, H; Wang, P; Li, Y; Domenico, K; Li, Q; Wang, X; Essandoh, K; Chen, J; Peng, T; et al. Molecular Therapy. 2021; 29:1294-1311.

Sectm1a deficiency aggravates inflammation-triggered cardiac dysfunction through disruption of LXRα signalling in macrophages. Li, Y; Deng, S; Wang, X; Huang, W; Chen, J; Robbins, N; Mu, X; Essandoh, K; Peng, T; Jegga, AG; et al. Cardiovascular Research. 2021; 117:890-902.

Tsg101 positively regulates P62-Keap1-Nrf2 pathway to protect hearts against oxidative damage. Deng, S; Essandoh, K; Wang, X; Li, Y; Huang, W; Chen, J; Peng, J; Jiang, D; Mu, X; Wang, C; et al. Redox Biology. 2020; 32.