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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 (<jats:italic>P<\/jats:italic>\u2009&lt;\u20095\u2009\u00d7\u200910<jats:sup>\u22128<\/jats:sup>) were screened to relate with the disease, among which two independent SNPs were identified, that is rs2857281 at <jats:italic>MICA<\/jats:italic> (odds ratio, 11.92; <jats:italic>P<\/jats:italic><jats:sub>meta<\/jats:sub>\u2009=\u20091.33\u2009\u00d7\u200910<jats:sup>\u221237<\/jats:sup>) and rs2523557 between <jats:italic>HLA-B<\/jats:italic> and <jats:italic>MICA<\/jats:italic> (odds ratio, 7.33; <jats:italic>P<\/jats:italic><jats:sub>meta<\/jats:sub>\u2009=\u20098.79\u2009\u00d7\u200910<jats:sup>\u221235<\/jats:sup>). 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.<\/jats:p>","DOI":"10.1038\/srep12169","type":"journal-article","created":{"date-parts":[[2015,7,20]],"date-time":"2015-07-20T10:04:20Z","timestamp":1437386660000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Performance of genetic risk factors in prediction of trichloroethylene induced hypersensitivity 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