Hepatology Research · 2022 · 13 citations · 21 references
Life SciencesGeneticsImmunologyImmunogeneticsImmunopathologyPharmacogeneticsBiomarkers Of Liver InjuryDisease Susceptibility LociGenome-wide Association StudiesGenotype-phenotype Association AnalysisHla TypingImmune-related Adverse EventsGenomic BiomarkersHla Allele PolymorphismHla AllelesHla Genotype AssociationsHla Polymorphism AnalysisHla Risk AllelesMolecular Hla TypingPredictive Biomarker Development
Abstract Aim Drug‐induced liver injury (DILI) is a severe and life‐threatening immune‐mediated adverse effect, occurring rarely among treated patients. We examined genomic biomarkers in the Japanese population that predict the onset of DILI after using a certain class of drugs, such as Kampo products (Japanese traditional medicines). Methods A total of 287 patients diagnosed as DILI by hepatology specialists were recruited after written informed consent was obtained. A genome‐wide association analysis and human leukocyte antigen (HLA) typing in four digits were performed. Results We found a significant association ( p = 9.41 × 10 −10 ) of rs146644517 ( G > A ) with Kampo product–related DILI. As this polymorphism is located in the HLA region, we evaluated the association of HLA types and found that 12 (63.2%) of 19 Kampo‐DILI patients contained HLA‐B*35:01 , whereas only 15.2% were positive for this HLA among healthy volunteers. The odds ratio was 9.56 (95% confidence interval 3.75–24.46; p = 2.98 × 10 −6 , corrected p = 4.17 × 10 −5 ), and it increased to 13.55 compared with the DILI patients not exposed to Kampo products. The individual crude drug components in the Kampo products, including Scutellaria root ( ougon in Japanese), rhubarb ( daiou ), Gardenia fruit ( sanshishi ), and Glycyrrhiza ( kanzou ), were significantly associated with HLA‐B*35:01 . Conclusions HLA‐B*35:01 is a genetic risk factor and a potential predictive biomarker for Kampo‐induced DILI in the Japanese population.
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Principal components analysis corrects for stratification in genome-wide association studies
Alkes L. Price, Nick J. Patterson, Robert M. Plenge et al. · Nature Genetics · 2006 · 10.7K citations