ArticleScientific reports2015
Performance of genetic risk factors in prediction of trichloroethylene induced hypersensitivity syndrome.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 11 citations in OpenAlex.
- Introduction to Pharmacogenomics: Role of the Histocompatibility and Immunogenetics Laboratory in Personalised Medicine-Current Status and Future Prospects.International journal of immunogenetics · 2026Review
- Sex-Dependent Effects on Liver Inflammation and Gut Microbial Dysbiosis After Continuous Developmental Exposure to Trichloroethylene in Autoimmune-Prone Mice.Frontiers in pharmacology · 2020Article
- Joint association of carrying HLA-B*13:01 gene and human herpesvirus-6 with occupational trichloroethylene hypersensitivity syndrome.International archives of occupational and environmental health · 2019Article
- Irreversible effects of trichloroethylene on the gut microbial community and gut-associated immune responses in autoimmune-prone mice.Journal of applied toxicology : JAT · 2019Article
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Authors and funding
37 authors at 10 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Trichloroethylene induced hypersensitivity syndrome is dose-independent and potentially life threatening disease, which has become one of the serious occupational health issues and requires intensive treatment. To discover the genetic risk factors and evaluate the performance of risk prediction model for the disease, we conducted genomewide association study and replication study with total of 174 cases and 1761 trichloroethylene-tolerant controls. Fifty seven SNPs that exceeded the threshold for genome-wide significance (P < 5 × 10(-8)) were screened to relate with the disease, among which two independent SNPs were identified, that is rs2857281 at MICA (odds ratio, 11.92; P meta = 1.33 × 10(-37)) and rs2523557 between HLA-B and MICA (odds ratio, 7.33; P meta = 8.79 × 10(-35)). The genetic risk score with these two SNPs explains at least 20.9% of the disease variance and up to 32.5-fold variation in inter-individual risk. Combining of two SNPs as predictors for the disease would have accuracy of 80.73%, the area under receiver operator characteristic curves (AUC) scores was 0.82 with sensitivity of 74% and specificity of 85%, which was considered to have excellent discrimination for the disease, and could be considered for translational application for screening employees before exposure.
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