Browsing by Author "Denny, Joshua C."

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    Common variation near IRF6 is associated with IFN-β-induced liver injury in multiple sclerosis
    (Springer Nature, 2018-08) Kowalec, Kaarina; Wright, Galen E.B.; Drögemöller, Britt I.; Aminkeng, Folefac; Bhavsar, Amit P.; Kingwell, Elaine; Yoshida, Eric M.; Traboulsee, Anthony; Marrie, Ruth Ann; Kremenchutzky, Marcelo; Campbell, Trudy L.; Duquette, Pierre; Chalasani, Naga; Wadelius, Mia; Hallberg, Pär; Xia, Zongqi; Jager, Philip L. De; Denny, Joshua C.; Davis, Mary F.; Ross, Colin J.D.; Tremlett, Helen; Carleton, Bruce C.; Medicine, School of Medicine
    Multiple sclerosis (MS) is a disease of the central nervous system treated with disease-modifying therapies, including the biologic, interferon-β (IFN-β). Up to 60% of IFN-β-exposed MS patients develop abnormal biochemical liver test results1,2, and 1 in 50 experiences drug-induced liver injury3. Since genomic variation contributes to other forms of drug-induced liver injury4,5, we aimed to identify biomarkers of IFN-β-induced liver injury using a two-stage genome-wide association study. The rs2205986 variant, previously linked to differential expression of IRF6, surpassed genome-wide significance in the combined two-stage analysis (P = 2.3 × 10-8, odds ratio = 8.3, 95% confidence interval = 3.6-19.2). Analysis of an independent cohort of IFN-β-treated MS patients identified via electronic medical records showed that rs2205986 was also associated with increased peak levels of aspartate aminotransferase (P = 7.6 × 10-5) and alkaline phosphatase (P = 4.9 × 10-4). We show that these findings may be applicable to predicting IFN-β-induced liver injury, offering insight into its safer use.
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    Multisite Investigation of Outcomes With Implementation of CYP2C19 Genotype-Guided Antiplatelet Therapy After Percutaneous Coronary Intervention
    (Elsevier, 2018-01-22) Cavallari, Larisa H.; Lee, Craig R.; Beitelshees, Amber L.; Cooper-DeHoff, Rhonda M.; Duarte, Julio D.; Voora, Deepak; Kimmel, Stephen E.; McDonough, Caitrin W.; Gong, Yan; Dave, Chintan V.; Pratt, Victoria M.; Alestock, Tameka D.; Anderson, R. David; Alsip, Jorge; Ardati, Amer K.; Brott, Brigitta C.; Brown, Lawrence; Chumnumwat, Supatat; Clare-Salzler, Michael J.; Coons, James C.; Denny, Joshua C.; Dillon, Chrisly; Elsey, Amanda R.; Hamadeh, Issam; Harada, Shuko; Hillegass, William B.; Hines, Lindsay; Horenstein, Richard B.; Howell, Lucius A.; Jeng, Linda J.B.; Kelemen, Mark D.; Lee, Y.M.; Magvanjav, Oyunbileg; Montasser, May; Nelson, David R.; Nutescu, Edith A.; Nwaba, Devon C.; Pakyz, Ruth E.; Palmer, Kathleen; Peterson, Josh F.; Pollin, Toni I.; Quinn, Alison H.; Robinson, Shawn W.; Schub, Jamie; Skaar, Todd C.; Smith, Donald M.; Sriramoju, Vindhya B.; Starostik, Petr; Stys, Tomasz P.; Stevenson, James M.; Varunok, Nicholas; Vesely, Mark R.; Wake, Dyson T.; Weck, Karen E.; Weitzel, Kristin W.; Wilke, Russell A.; Willig, James; Zhao, Richard Y.; Kreutz, Rolf P.; Stouffer, George A.; Empey, Philip E.; Limdi, Nita A.; Shuldiner, Alan R.; Winterstein, Almut G.; Johnson, Julie A.; Medical and Molecular Genetics, School of Medicine
    OBJECTIVES: This multicenter pragmatic investigation assessed outcomes following clinical implementation of CYP2C19 genotype-guided antiplatelet therapy after percutaneous coronary intervention (PCI). BACKGROUND: CYP2C19 loss-of-function alleles impair clopidogrel effectiveness after PCI. METHODS: After clinical genotyping, each institution recommended alternative antiplatelet therapy (prasugrel, ticagrelor) in PCI patients with a loss-of-function allele. Major adverse cardiovascular events (defined as myocardial infarction, stroke, or death) within 12 months of PCI were compared between patients with a loss-of-function allele prescribed clopidogrel versus alternative therapy. Risk was also compared between patients without a loss-of-function allele and loss-of-function allele carriers prescribed alternative therapy. Cox regression was performed, adjusting for group differences with inverse probability of treatment weights. RESULTS: Among 1,815 patients, 572 (31.5%) had a loss-of-function allele. The risk for major adverse cardiovascular events was significantly higher in patients with a loss-of-function allele prescribed clopidogrel versus alternative therapy (23.4 vs. 8.7 per 100 patient-years; adjusted hazard ratio: 2.26; 95% confidence interval: 1.18 to 4.32; p = 0.013). Similar results were observed among 1,210 patients with acute coronary syndromes at the time of PCI (adjusted hazard ratio: 2.87; 95% confidence interval: 1.35 to 6.09; p = 0.013). There was no difference in major adverse cardiovascular events between patients without a loss-of-function allele and loss-of-function allele carriers prescribed alternative therapy (adjusted hazard ratio: 1.14; 95% confidence interval: 0.69 to 1.88; p = 0.60). CONCLUSIONS: These data from real-world observations demonstrate a higher risk for cardiovascular events in patients with a CYP2C19 loss-of-function allele if clopidogrel versus alternative therapy is prescribed. A future randomized study of genotype-guided antiplatelet therapy may be of value.
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    Qualitative study of system-level factors related to genomic implementation
    (Springer Nature, 2019-07) Zebrowski, Alexis M.; Ellis, Darcy E.; Barg, Frances K.; Sperber, Nina R.; Bernhardt, Barbara A.; Denny, Joshua C.; Dexter, Paul R.; Ginsburg, Geoffrey S.; Horowitz, Carol R.; Johnson, Julie A.; Levy, Mia A.; Orlando, Lori A.; Pollin, Toni I.; Skaar, Todd C.; Kimmel, Stephen E.; Medicine, School of Medicine
    PURPOSE: Research on genomic medicine integration has focused on applications at the individual level, with less attention paid to implementation within clinical settings. Therefore, we conducted a qualitative study using the Consolidated Framework for Implementation Research (CFIR) to identify system-level factors that played a role in implementation of genomic medicine within Implementing GeNomics In PracTicE (IGNITE) Network projects. METHODS: Up to four study personnel, including principal investigators and study coordinators from each of six IGNITE projects, were interviewed using a semistructured interview guide that asked interviewees to describe study site(s), progress at each site, and factors facilitating or impeding project implementation. Interviews were coded following CFIR inner-setting constructs. RESULTS: Key barriers included (1) limitations in integrating genomic data and clinical decision support tools into electronic health records, (2) physician reluctance toward genomic research participation and clinical implementation due to a limited evidence base, (3) inadequate reimbursement for genomic medicine, (4) communication among and between investigators and clinicians, and (5) lack of clinical and leadership engagement. CONCLUSION: Implementation of genomic medicine is hindered by several system-level barriers to both research and practice. Addressing these barriers may serve as important facilitators for studying and implementing genomics in practice.
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    Research Directions in the Clinical Implementation of Pharmacogenomics: An Overview of US Programs and Projects
    (Wiley, 2018-05) Volpi, Simona; Bult, Carol J.; Chisholm, Rex L.; Deverka, Patricia A.; Ginsburg, Geoffrey S.; Jacob, Howard J.; Kasapi, Melpomeni; McLeod, Howard L.; Roden, Dan M.; Williams, Marc S.; Green, Eric D.; Rodriguez, Laura Lyman; Aronson, Samuel; Cavallari, Larisa H.; Denny, Joshua C.; Dressler, Lynn G.; Johnson, Julie A.; Klein, Teri E.; Leeder, J. Steven; Piquette-Miller, Micheline; Perera, Minoli; Rasmussen-Torvik, Laura J.; Rehm, Heidi L.; Ritchie, Marylyn D.; Skaar, Todd C.; Wagle, Nikhil; Weinshilboum, Richard; Weitzel, Kristin W.; Wildin, Robert; Wilson, John; Manolio, Teri A.; Relling, Mary V.; Pharmacology and Toxicology, School of Medicine
    Response to a drug often differs widely among individual patients. This variability is frequently observed not only with respect to effective responses but also with adverse drug reactions. Matching patients to the drugs that are most likely to be effective and least likely to cause harm is the goal of effective therapeutics. Pharmacogenomics (PGx) holds the promise of precision medicine through elucidating the genetic determinants responsible for pharmacological outcomes and using them to guide drug selection and dosing. Here we survey the US landscape of research programs in PGx implementation, review current advances and clinical applications of PGx, summarize the obstacles that have hindered PGx implementation, and identify the critical knowledge gaps and possible studies needed to help to address them.