Abstract:Drug-induced hepatotoxicity (DIH) is a common adverse event that is associated with both antiretroviral (ARV) and anti-tuberculosis drugs (ATD). Moreover, the genetic variations predisposing ARV-and ARV-ATDinduced liver toxicity in African populations are not well investigated, despite the two diseases being the major global health problems in sub-Saharan Africa. We performed a genome-wide association study (GWAS) and replication study to identify the genetic variants linked to the risk of developing DIH due t… Show more
“…Similar to the findings in two earlier GWAS involving Europeans, 20,21 we failed to detect genomewide significance when we undertook a GWAS in the Indian population. This is in contrast to the recent GWAS performed on a Thai population, where genomewide significance was seen for NAT2 , 19 but is more consistent with a separate GWAS performed in Ethiopians, which also failed to observe genomewide significant signals, 38 although the Ethiopian patients were also undergoing HIV treatments that can cause DILI. In our enlarged European population, which includes the previously studied cases 20,21 as well as eight new cases, 29 we did see one genomewide significant signal in an intronic SNP in ASTN2 .…”
Section: Discussionsupporting
confidence: 72%
“…to observe genomewide significant signals, 38 although the Ethiopian patients were also undergoing HIV treatments that can cause DILI. In our enlarged European population, which includes the previously studied cases 20,21 as well as eight new cases, 29 we did see one genomewide significant signal in an intronic SNP in ASTN2.…”
Drug-induced liver injury (DILI) is a complication of treatment with antituberculosis (TB) drugs, especially in isoniazid (INH)-containing regimens. To investigate genetic risk factors, we performed a genomewide association study (GWAS) involving anti-TB DILI cases (55 Indian and 70 European) and controls (1,199 Indian and 10,397 European). Most cases were treated with a standard anti-TB drug regimen; all received INH. We imputed single nucleotide polymorphism and HLA genotypes and performed trans-ethnic meta-analysis on GWAS and candidate gene genotypes. GWAS found one significant association (rs117491755) in Europeans only. For HLA, HLA-B*52:01 was significant (meta-analysis odds ratio (OR) 2.67, 95% confidence interval (CI) 1.63-4.37, P = 9.4 × 10 −5). For N-acetyltransferase 2 (NAT2), NAT2*5 frequency was lower in cases (OR 0.69, 95% CI 0.57-0.83, P = 0.01). NAT2*6 and NAT2*7 were more common, with homozygotes for NAT2*6 and/or NAT2*7 enriched among cases (OR 1.89, 95% CI 0.84-4.22, P = 0.004). We conclude HLA genotype makes a small contribution to TB drug-related DILI and that the NAT2 contribution is complex, but consistent with previous reports when differences in the metabolic effect of NAT2*5 compared with those of NAT2*6 and NAT2*7 are considered.
“…Similar to the findings in two earlier GWAS involving Europeans, 20,21 we failed to detect genomewide significance when we undertook a GWAS in the Indian population. This is in contrast to the recent GWAS performed on a Thai population, where genomewide significance was seen for NAT2 , 19 but is more consistent with a separate GWAS performed in Ethiopians, which also failed to observe genomewide significant signals, 38 although the Ethiopian patients were also undergoing HIV treatments that can cause DILI. In our enlarged European population, which includes the previously studied cases 20,21 as well as eight new cases, 29 we did see one genomewide significant signal in an intronic SNP in ASTN2 .…”
Section: Discussionsupporting
confidence: 72%
“…to observe genomewide significant signals, 38 although the Ethiopian patients were also undergoing HIV treatments that can cause DILI. In our enlarged European population, which includes the previously studied cases 20,21 as well as eight new cases, 29 we did see one genomewide significant signal in an intronic SNP in ASTN2.…”
Drug-induced liver injury (DILI) is a complication of treatment with antituberculosis (TB) drugs, especially in isoniazid (INH)-containing regimens. To investigate genetic risk factors, we performed a genomewide association study (GWAS) involving anti-TB DILI cases (55 Indian and 70 European) and controls (1,199 Indian and 10,397 European). Most cases were treated with a standard anti-TB drug regimen; all received INH. We imputed single nucleotide polymorphism and HLA genotypes and performed trans-ethnic meta-analysis on GWAS and candidate gene genotypes. GWAS found one significant association (rs117491755) in Europeans only. For HLA, HLA-B*52:01 was significant (meta-analysis odds ratio (OR) 2.67, 95% confidence interval (CI) 1.63-4.37, P = 9.4 × 10 −5). For N-acetyltransferase 2 (NAT2), NAT2*5 frequency was lower in cases (OR 0.69, 95% CI 0.57-0.83, P = 0.01). NAT2*6 and NAT2*7 were more common, with homozygotes for NAT2*6 and/or NAT2*7 enriched among cases (OR 1.89, 95% CI 0.84-4.22, P = 0.004). We conclude HLA genotype makes a small contribution to TB drug-related DILI and that the NAT2 contribution is complex, but consistent with previous reports when differences in the metabolic effect of NAT2*5 compared with those of NAT2*6 and NAT2*7 are considered.
“…The slow metabolites of UGT1A6 and UGT1A9 are related to the liver injury induced by tolcapone ( Alfirevic and Pirmohamed, 2012 ), which may be due to the decrease of enzyme activity and the accumulation of toxic substances. In addition, the UGT2B7 rs7439366 allele is associated with an increased risk of diclofenac-induced liver damage ( Daly et al, 2007 ; Petros et al, 2017 ), and the mechanism may be the allelic variation leading to the formation of active diclofenac metabolites that trigger DILI.…”
Section: Dili and Gene Polymorphismmentioning
confidence: 99%
“…Chinese patients with the nuclear export protein 1 ( XPO1 ) rs4430924 AA genotype were also at significantly higher risk of developing antituberculosis drug-induced hepatotoxicity than those with the GG genotype ( He et al, 2019 ). In antiretroviral therapy, rs199650082 of nucleus signaling-1 ( ERN1 ) is significantly related to DILI, while in antiretroviral therapy combined with anti-tuberculosis therapy, transcriptional variation of synaptotagmin 1 ( Syt1 ) rs4842407 is associated with DILI ( Petros et al, 2017 ). Syt1 is a long intergene non-coding RNAs (lincRNAs) on chromosome 12, which plays a vital role in endocytosis, exocytosis, and the perception of Ca2+ concentration during vesicle transport; a recent experiment has shown that inhibiting its expression can inhibit the invasion and metastasis of liver cancer ( Xu et al, 2020 ).…”
Background: Drug-induced liver injury (DILI) is a common and serious adverse drug reaction with insufficient clinical diagnostic strategies and treatment methods. The only clinically well-received method is the Roussel UCLAF Causality Assessment Method scale, which can be applied to both individuals and prospective or retrospective studies. However, in severe cases, patients with DILI still would develop acute liver failure or even death. Pharmacogenomics, a powerful tool to achieve precision medicine, has been used to study the polymorphism of DILI related genes.Summary: We summarized the pathogenesis of DILI and findings on associated genes and variations with DILI, including but not limited to HLA genes, drug metabolizing enzymes, and transporters genes, and pointed out further fields for DILI related pharmacogenomics study to provide references for DILI clinical diagnosis and treatment.Key Messages: At present, most of the studies are mainly limited to CGS and GWAS, and there is still a long way to achieve clinical transformation. DNA methylation could be a new consideration, and ethnic differences and special populations also deserve attention.
“…Three downstream genes associated with rs2331413 are likewise endoplasmic reticulum proteins. The ERN1 locus has been associated with several phenotypes in GWAS studies, most notably drug induced hepatotoxicity (Petros et al (2017)).…”
Motivation:RNAseq technology provides unprecedented power in the assesment of the transcription abundance and can be used to perform a variety of downstream tasks such as inference of genecorrelation network and eQTL discovery. However, raw gene expression values have to be normalized for nuisance biological variation and technical covariates, and different normalization strategies can lead to dramatically different results in the downstream study. Results: We describe a generalization of SVD-based reconstruction for which the common techniques of whitening, rank-k approximation, and removing the top k principle components are special cases. Our simple three-parameter transformation, DataRemix, can be tuned to reweight the contribution of hidden factors and reveal otherwise hidden biological signals. In particular, we demonstrate that the method can effectively prioritize biological signals over noise without leveraging external dataset-specific knowledge, and can outperform normalization methods that make explicit use of known technical factors. We also show that DataRemix can be efficiently optimized via Thompson Sampling approach, which makes it feasible for computationally expensive objectives such as eQTL analysis. Finally we reanalyze the Depression Gene Networks (DGN) dataset, and we highlight new trans-eQTL networks which were not reported in the initial study.
Availability:DataRemix is an R package which is freely available at GitHub (https://github.com/wgmao/DataRemix).
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