HLADR: a database system for enhancing the discovery of biomarkers for predicting human leukocyte antigen-mediated idiosyncratic adverse drug reactions

Author:

Du Tingting1,Yang Lun2,Luo Heng23,Zhou Peng2,Mei Hu2,Xuan Jiekun12,Xing Qinghe4,Ning Baitang2,Mendrick Donna L2,Shi Leming123

Affiliation:

1. Center for Pharmacogenomics & State Key Laboratory of Genetic Engineering, School of Life Sciences & School of Pharmacy, Fudan University, 826 Zhangheng Road, Shanghai 201203, China

2. National Center for Toxicological Research, US Food & Drug Administration, 3900 NCTR Road, Jefferson, AR 72079, USA

3. University of Arkansas at Little Rock/University of Arkansas for Medical Sciences Joint Bioinformatics Graduate Program, 2801 South University Avenue, Little Rock, AR 72204, USA

4. Institutes of Biomedical Science, Fudan University, 138 Shanghai Medical School Road, Shanghai 200032, China

Abstract

Aim: To establish a database for the associations between idiosyncratic drug reactions (IDRs) and human leukocyte antigens (HLAs) and to systematically assess the characteristics of the drug–HLA associations. Materials & methods: Electronic databases were searched to extensively identify drug–HLA association studies from 1966 to present. Results: A drug-HLA-IDR database, HLADR, was created. The drug–HLA relationship network clearly reflected an ethnicity dependency of the associations. The positive predictive values and the negative predictive values demonstrated that other potential factors may also regulate the occurrence of HLA-specific IDRs. Conclusions: Constructing studies with samples from homogeneous ethnic groups and identifying cofactors that affect negative predictive values and positive predictive values will become necessary to enhance the predictability of HLA biomarkers for future research on IDRs.

Publisher

Future Medicine Ltd

Subject

Biochemistry (medical),Clinical Biochemistry,Drug Discovery

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