Literature DB >> 22968431

Limited contribution of common genetic variants to risk for liver injury due to a variety of drugs.

Thomas J Urban1, Yufeng Shen, Andrew Stolz, Naga Chalasani, Robert J Fontana, James Rochon, Dongliang Ge, Kevin V Shianna, Ann K Daly, M Isabel Lucena, Matthew R Nelson, Mariam Molokhia, Guruprasad P Aithal, Aris Floratos, Itsik Pe'er, Jose Serrano, Herbert Bonkovsky, Timothy J Davern, William M Lee, Victor J Navarro, Jayant A Talwalkar, David B Goldstein, Paul B Watkins.   

Abstract

BACKGROUND AND AIMS: Drug-induced liver injury (DILI) is a serious adverse drug event that is suspected to have a heritable component. We carried out a genome-wide association study of 783 individuals of European ancestry who experienced DILI due to more than 200 implicated drugs.
METHODS: DILI patients from the US-based Drug-Induced Liver Injury Network (n=401) and three international registries (n=382) were genotyped with the Illumina 1Mduo BeadChip and compared with population controls (n=3001). Potential associations were tested in 307 independent Drug-Induced Liver Injury Network cases.
RESULTS: After accounting for known major histocompatibility complex risk alleles for flucloxacillin-DILI and amoxicillin/clavulanate-DILI, there were no genome-wide significant associations, including in the major histocompatibility complex region. Stratification of DILI cases according to clinical phenotypes (injury type, latency, age of onset) also did not show significant associations. An analysis of hepatocellular DILI (n=285) restricted to 193 single-nucleotide polymorphisms previously associated with autoimmune disease showed a trend association for rs7574865, in the vicinity of signal transducer and activator of transcription 4 (STAT4) (P=4.5×10(-4)). This association was replicated in an independent cohort of 168 hepatocellular DILI cases (P=0.011 and 1.5×10(-5) for combined cohorts). No significant associations were found with stratification by other clinical or demographic variables.
CONCLUSION: Although not significant at the genome-wide level, the association between hepatocellular DILI and STAT4 is consistent with the emerging role of the immune system in DILI. However, the lack of genome-wide association study findings supports the idea that strong genetic determinants of DILI may be largely drug-specific or may reflect rare genetic variations, which were not assessed in our study.

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Year:  2012        PMID: 22968431      PMCID: PMC3636716          DOI: 10.1097/FPC.0b013e3283589a76

Source DB:  PubMed          Journal:  Pharmacogenet Genomics        ISSN: 1744-6872            Impact factor:   2.089


  29 in total

1.  A single-nucleotide polymorphism tagging set for human drug metabolism and transport.

Authors:  Kourosh R Ahmadi; Mike E Weale; Zhengyu Y Xue; Nicole Soranzo; David P Yarnall; James D Briley; Yuka Maruyama; Mikiro Kobayashi; Nicholas W Wood; Nigel K Spurr; Daniel K Burns; Allen D Roses; Ann M Saunders; David B Goldstein
Journal:  Nat Genet       Date:  2004-12-19       Impact factor: 38.330

2.  Principal components analysis corrects for stratification in genome-wide association studies.

Authors:  Alkes L Price; Nick J Patterson; Robert M Plenge; Michael E Weinblatt; Nancy A Shadick; David Reich
Journal:  Nat Genet       Date:  2006-07-23       Impact factor: 38.330

Review 3.  EUDRAGENE: European collaboration to establish a case-control DNA collection for studying the genetic basis of adverse drug reactions.

Authors:  Mariam Molokhia; Paul McKeigue
Journal:  Pharmacogenomics       Date:  2006-06       Impact factor: 2.533

4.  WGAViewer: software for genomic annotation of whole genome association studies.

Authors:  Dongliang Ge; Kunlin Zhang; Anna C Need; Olivier Martin; Jacques Fellay; Thomas J Urban; Amalio Telenti; David B Goldstein
Journal:  Genome Res       Date:  2008-02-06       Impact factor: 9.043

5.  PLINK: a tool set for whole-genome association and population-based linkage analyses.

Authors:  Shaun Purcell; Benjamin Neale; Kathe Todd-Brown; Lori Thomas; Manuel A R Ferreira; David Bender; Julian Maller; Pamela Sklar; Paul I W de Bakker; Mark J Daly; Pak C Sham
Journal:  Am J Hum Genet       Date:  2007-07-25       Impact factor: 11.025

6.  Diclofenac antagonizes peroxisome proliferator-activated receptor-gamma signaling.

Authors:  Douglas J A Adamson; David Frew; Roger Tatoud; C Roland Wolf; Colin N A Palmer
Journal:  Mol Pharmacol       Date:  2002-01       Impact factor: 4.436

7.  Drug-induced liver injury: an analysis of 461 incidences submitted to the Spanish registry over a 10-year period.

Authors:  Raúl J Andrade; M Isabel Lucena; M Carmen Fernández; Gloria Pelaez; Ketevan Pachkoria; Elena García-Ruiz; Beatriz García-Muñoz; Rocio González-Grande; Angeles Pizarro; José Antonio Durán; Manuel Jiménez; Luis Rodrigo; Manuel Romero-Gomez; José María Navarro; Ramón Planas; Joan Costa; Africa Borras; Aina Soler; Javier Salmerón; Rafael Martin-Vivaldi
Journal:  Gastroenterology       Date:  2005-08       Impact factor: 22.682

8.  Recurrent drug-induced liver injury (DILI) with different drugs in the Spanish Registry: the dilemma of the relationship to autoimmune hepatitis.

Authors:  M I Lucena; N Kaplowitz; H Hallal; A Castiella; M García-Bengoechea; P Otazua; M Berenguer; M C Fernandez; R Planas; R J Andrade
Journal:  J Hepatol       Date:  2011-02-19       Impact factor: 25.083

9.  Causality assessment of adverse reactions to drugs--I. A novel method based on the conclusions of international consensus meetings: application to drug-induced liver injuries.

Authors:  G Danan; C Benichou
Journal:  J Clin Epidemiol       Date:  1993-11       Impact factor: 6.437

10.  Power and sample size calculations in the presence of phenotype errors for case/control genetic association studies.

Authors:  Brian J Edwards; Chad Haynes; Mark A Levenstien; Stephen J Finch; Derek Gordon
Journal:  BMC Genet       Date:  2005-04-08       Impact factor: 2.797

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  33 in total

1.  Genetic basis of susceptibility to drug-induced liver injury: what have we learned and where do we go from here?

Authors:  Thomas J Urban; David B Goldstein; Paul B Watkins
Journal:  Pharmacogenomics       Date:  2012-05       Impact factor: 2.533

2.  A collaborative approach to developing an electronic health record phenotyping algorithm for drug-induced liver injury.

Authors:  Casey Lynnette Overby; Jyotishman Pathak; Omri Gottesman; Krystl Haerian; Adler Perotte; Sean Murphy; Kevin Bruce; Stephanie Johnson; Jayant Talwalkar; Yufeng Shen; Steve Ellis; Iftikhar Kullo; Christopher Chute; Carol Friedman; Erwin Bottinger; George Hripcsak; Chunhua Weng
Journal:  J Am Med Inform Assoc       Date:  2013-07-09       Impact factor: 4.497

3.  Protective properties of the cultured stem cell proteome studied in an animal model of acetaminophen-induced acute liver failure.

Authors:  Andrey Alexandrovich Temnov; Konstantin Arkadevich Rogov; Alla Nikolaevna Sklifas; Elena Valerievna Klychnikova; Markus Hartl; Kristina Djinovic-Carugo; Alexej Charnagalov
Journal:  Mol Biol Rep       Date:  2019-04-12       Impact factor: 2.316

Review 4.  Epidemiology and Genetic Risk Factors of Drug Hepatotoxicity.

Authors:  Jawad Ahmad; Joseph A Odin
Journal:  Clin Liver Dis       Date:  2016-10-14       Impact factor: 6.126

Review 5.  Pathogenesis of idiosyncratic drug-induced liver injury and clinical perspectives.

Authors:  Robert J Fontana
Journal:  Gastroenterology       Date:  2013-12-31       Impact factor: 22.682

6.  Liver injury from herbals and dietary supplements in the U.S. Drug-Induced Liver Injury Network.

Authors:  Victor J Navarro; Huiman Barnhart; Herbert L Bonkovsky; Timothy Davern; Robert J Fontana; Lafaine Grant; K Rajender Reddy; Leonard B Seeff; Jose Serrano; Averell H Sherker; Andrew Stolz; Jayant Talwalkar; Maricruz Vega; Raj Vuppalanchi
Journal:  Hepatology       Date:  2014-08-25       Impact factor: 17.425

7.  Evaluation of the Relevance of DILI Predictive Hypotheses in Early Drug Development: Review of In Vitro Methodologies vs BDDCS Classification.

Authors:  Rosa Chan; Leslie Z Benet
Journal:  Toxicol Res (Camb)       Date:  2018-04-18       Impact factor: 3.524

8.  Relationship between characteristics of medications and drug-induced liver disease phenotype and outcome.

Authors:  Raj Vuppalanchi; Raghavender Gotur; K Rajender Reddy; Robert J Fontana; Marwan Ghabril; Andrzej S Kosinski; Jiezhun Gu; Jose Serrano; Naga Chalasani
Journal:  Clin Gastroenterol Hepatol       Date:  2013-12-20       Impact factor: 11.382

Review 9.  Current and future directions in the treatment and prevention of drug-induced liver injury: a systematic review.

Authors:  Jonathan G Stine; James H Lewis
Journal:  Expert Rev Gastroenterol Hepatol       Date:  2015-12-25       Impact factor: 3.869

Review 10.  Pharmacogenomics of adverse drug reactions.

Authors:  Ann K Daly
Journal:  Genome Med       Date:  2013-01-29       Impact factor: 11.117

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