9 results on '"Papantoni, I"'
Search Results
2. Correction: A european spectrum of pharmacogenomic biomarkers: Implications for clinical pharmacogenomics (PLoS ONE (2016) 11:9 (e0162866) DOI: 10.1371/journal.pone.0162866)
- Author
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Mizzi, C. Dalabira, E. Kumuthini, J. Dzimiri, N. Balogh, I. Başak, N. Böhm, R. Borg, J. Borgiani, P. Bozina, N. Bruckmueller, B. Burzynska, B. Carracedo, A. Cascorbi, I. Deltas, C. Dolzan, V. Fenech, A. Grech, G. Kasiulevicius, V. Kádaši, D. Kučinskas, V. Khusnutdinova, E. Loukas, Y.L. Macek, M., Jr. Makukh, H. Mathijssen, R. Mitropoulos, K. Mitropoulou, C. Novelli, G. Papantoni, I. Pavlovic, S. Saglio, G. Setric, J. Stojiljkovic, M. Stubbs, A.P. Squassina, A. Torres, M. Turnovec, M. van Schaik, R.H. Voskarides, K. Wakil, S.M. Werk, A. del Zompo, M. Zukic, B. Katsila, T. Ta Michael Lee, M. Motsinger-Rief, A. Mc Leod, H.L. van der Spek, P.J. Patrinos, G.P.
- Abstract
The thirty-Third author's name is spelled incorrectly. The correct name is: Jadranka Sertić. © 2017 Mizzi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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- 2017
3. A European spectrum of pharmacogenomic biomarkers: Implications for clinical pharmacogenomics
- Author
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Mizzi, C., Dalabira, E., Kumuthini, J., Dzimiri, N., Balogh, István, Başak, N., Böhm, R., Borg, J., Borgiani, P., Bozina, N., Bruckmueller, H., Burzynska, B., Carracedo, A., Cascorbi, I., Constantinou-Deltas, Constantinos D., Dolzan, V., Fenech, A., Grech, G., Kasiulevicius, V., Kádaši, L., Kučinskas, V., Khusnutdinova, E., Loukas, Y. L., Macek, M., Makukh, H., Mathijssen, R., Mitropoulos, K., Mitropoulou, C., Novelli, G., Papantoni, I., Pavlovic, S., Saglio, G., Setric, J., Stojiljkovic, M., Stubbs, A. P., Squassina, A., Torres, M., Turnovec, M., Van Schaik, R. H., Voskarides, Konstantinos, Wakil, S. M., Werk, A., Zompo, M. D., Zukic, B., Katsila, T., Lee, M. T. M., Motsinger-Rief, A., Leod, H. L. M., Van Der Spek, P. J., Patrinos, G. P., Constantinou-Deltas, Constantinos D. [0000-0001-5549-9169], Pathology, Medical Oncology, and Clinical Chemistry
- Subjects
0301 basic medicine ,Genetics and Molecular Biology (all) ,Anticoagulants ,Cluster Analysis ,Cytochrome P-450 CYP2C9 ,Ethnic Groups ,Europe ,Humans ,Vitamin K Epoxide Reductases ,Warfarin ,Genetic Markers ,Pharmacogenetics ,Biochemistry, Genetics and Molecular Biology (all) ,Agricultural and Biological Sciences (all) ,genotype ,lcsh:Medicine ,Toxicology ,Pathology and Laboratory Medicine ,Bioinformatics ,anticoagulant agent ,Biochemistry ,human experiment ,ethnic group ,Medicine and Health Sciences ,Drugs -- Effectiveness ,genetics ,TPMT gene ,lcsh:Science ,pharmacogenetics ,Multidisciplinary ,cytochrome P450 2C9 ,biology ,Pharmaceutics ,VKORC1 protein, human ,Drugs ,Orvostudományok ,Genomics ,biological marker ,3. Good health ,CYP2C9 gene ,Biomarker (medicine) ,VKORC1 ,genetic marker ,Research Article ,Biotechnology ,Genotyping ,Pharmacogenomic Testing ,CYP2C19 ,gene frequency ,Klinikai orvostudományok ,Research and Analysis Methods ,European ,Article ,CYP3A5 gene ,medication therapy management ,SLCO1B1 gene ,vitamin K epoxide reductase ,CYP2C19 gene ,03 medical and health sciences ,Dose Prediction Methods ,Genomic Medicine ,Drug Therapy ,Genetics ,controlled study ,human ,normal human ,Molecular Biology Techniques ,gene ,Molecular Biology ,Allele frequency ,Pharmacology ,pharmacogenomics ,Pharmacogenomics ,genetic composition ,biomarkers ,allele frequency ,European populations ,Toxicity ,lcsh:R ,Biology and Life Sciences ,warfarin ,030104 developmental biology ,Settore MED/03 - Genetica Medica ,biology.protein ,lcsh:Q ,VKORC1 gene ,SLCO1B1 ,Biomarkers ,cluster analysis - Abstract
Acknowledgments: The Euro-PGx project was partly funded by European grant (RD-Connect; FP7-305444) and the Golden Helix Foundation and encouraged by the Genomic Medicine Alliance Pharmacogenomics Working group. The Lithuanian segment of the project was supported by the LITGEN project (VP1-3.1-ŠMM-07-K-01-013), funded by the European Social Fund under the Global Grant Measure. The Czech segment of the project was supported by 00064203, LN14073, LM2015091, NF-CZ11-PDP-3-003-2014 and CZ.2.16/3.1.00/24022OPPK grants to MM. JK was funded by the National Institutes of Health Common Fund Award NHGRI Grant Number U41HG006941. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors declare no conflict of interests., Pharmacogenomics aims to correlate inter-individual differences of drug efficacy and/or toxicity with the underlying genetic composition, particularly in genes encoding for protein factors and enzymes involved in drug metabolism and transport. In several European populations, particularly in countries with lower income, information related to the prevalence of pharmacogenomic biomarkers is incomplete or lacking. Here, we have implemented the microattribution approach to assess the pharmacogenomic biomarkers allelic spectrum in 18 European populations, mostly from developing European countries, by analyzing 1,931 pharmacogenomics biomarkers in 231 genes. Our data show significant interpopulation pharmacogenomic biomarker allele frequency differences, particularly in 7 clinically actionable pharmacogenomic biomarkers in 7 European populations, affecting drug efficacy and/or toxicity of 51 medication treatment modalities. These data also reflect on the differences observed in the prevalence of high-risk genotypes in these populations, as far as common markers in the CYP2C9, CYP2C19, CYP3A5, VKORC1, SLCO1B1 and TPMT pharmacogenes are concerned. Also, our data demonstrate notable differences in predicted genotype-based warfarin dosing among these populations. Our findings can be exploited not only to develop guidelines for medical prioritization, but most importantly to facilitate integration of pharmacogenomics and to support pre-emptive pharmacogenomic testing. This may subsequently contribute towards significant cost-savings in the overall healthcare expenditure in the participating countries, where pharmacogenomics implementation proves to be cost-effective., The Euro-PGx project was partly funded by European grant (RD-Connect; FP7-305444) and the Golden Helix Foundation and encouraged by the Genomic Medicine Alliance Pharmacogenomics Working group. The Lithuanian segment of the project was supported by the LITGEN project (VP1- 3.1-ŠMM-07-K-01-013), funded by the European Social Fund under the Global Grant Measure. The Czech segment of the project was supported by 00064203, LN14073, LM2015091, NF-CZ11-PDP-3-003-2014 and CZ.2.16/3.1.00/24022OPPK grants to MM. JK was funded by the National Institutes of Health Common Fund Award NHGRI Grant Number U41HG006941. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript., peer-reviewed
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- 2016
4. A European spectrum of pharmacogenomic biomarkers: Implications for clinical pharmacogenomics
- Author
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Mizzi, C. (Clint), Dalabira, E. (Eleni), Kumuthini, J. (Judit), Dzimiri, N. (Nduna), Balogh, I. (Istvan), Başak, N. (Nazli), Böhm, R. (Ruwen), Borg, J. (Joseph), Borgiani, P. (P.), Bozina, N. (Nada), Bruckmueller, H. (Henrike), Burzynska, B. (Beata), Carracedo, A. (Angel), Cascorbi, I. (Ingolf), Deltas, C. (Constantinos), Dolzan, V. (Vita), Fenech, A. (Anthony), Grech, G. (Godfrey), Kasiulevicius, V. (Vytautas), Kádaši, L. (Ludevít), Kučinskas, V. (Vaidutis), Khusnutdinova, E.K. (Elza), Loukas, Y.L. (Yiannis L.), Macek, M. (Milan), Makukh, H. (Halyna), Mathijssen, A.H.J. (Ron), Mitropoulos, K. (Konstantinos), Mitropoulou, C. (Christina), Novelli, G. (Giuseppe), Papantoni, I. (Ioanna), Pavlovic, S. (Sonja), Saglio, G., Setric, J. (Jadranka), Stojiljkovic, M. (Maja), Stubbs, A.P. (Andrew), Squassini, A. (Alessio), Torres, M. (Maria), Turnovec, M. (Marek), Schaik, R.H.N. (Ron) van, Voskarides, K. (Konstantinos), Wakil, S.M. (Salma M.), Werk, A. (Anneke), Zompo, M.D. (Maria Del), Zukic, B. (Branka), Katsila, T. (Theodora), Lee, M.T.M. (M. T M), Motsinger-Rief, A. (Alison), Leod, H.L.M. (Howard L. Mc), Spek, P.J. (Peter) van der, Patrinos, G.P. (George), Mizzi, C. (Clint), Dalabira, E. (Eleni), Kumuthini, J. (Judit), Dzimiri, N. (Nduna), Balogh, I. (Istvan), Başak, N. (Nazli), Böhm, R. (Ruwen), Borg, J. (Joseph), Borgiani, P. (P.), Bozina, N. (Nada), Bruckmueller, H. (Henrike), Burzynska, B. (Beata), Carracedo, A. (Angel), Cascorbi, I. (Ingolf), Deltas, C. (Constantinos), Dolzan, V. (Vita), Fenech, A. (Anthony), Grech, G. (Godfrey), Kasiulevicius, V. (Vytautas), Kádaši, L. (Ludevít), Kučinskas, V. (Vaidutis), Khusnutdinova, E.K. (Elza), Loukas, Y.L. (Yiannis L.), Macek, M. (Milan), Makukh, H. (Halyna), Mathijssen, A.H.J. (Ron), Mitropoulos, K. (Konstantinos), Mitropoulou, C. (Christina), Novelli, G. (Giuseppe), Papantoni, I. (Ioanna), Pavlovic, S. (Sonja), Saglio, G., Setric, J. (Jadranka), Stojiljkovic, M. (Maja), Stubbs, A.P. (Andrew), Squassini, A. (Alessio), Torres, M. (Maria), Turnovec, M. (Marek), Schaik, R.H.N. (Ron) van, Voskarides, K. (Konstantinos), Wakil, S.M. (Salma M.), Werk, A. (Anneke), Zompo, M.D. (Maria Del), Zukic, B. (Branka), Katsila, T. (Theodora), Lee, M.T.M. (M. T M), Motsinger-Rief, A. (Alison), Leod, H.L.M. (Howard L. Mc), Spek, P.J. (Peter) van der, and Patrinos, G.P. (George)
- Abstract
Pharmacogenomics aims to correlate inter-individual differences of drug efficacy and/or toxicity with the underlying genetic composition, particularly in genes encoding for protein factors and enzymes involved in drug metabolism and transport. In several European populations, particularly in countries with lower income, information related to the prevalence of pharmacogenomic biomarkers is incomplete or lacking. Here, we have implemented the microattribution approach to assess the pharmacogenomic biomarkers allelic spectrum in 18 European populations, mostly from developing European countries, by analyzing 1,931 pharmacogenomics biomarkers in 231 genes. Our data show significant interpopulation pharmacogenomic biomarker allele frequency differences, particularly in 7 clinically actionable pharmacogenomic biomarkers in 7 European populations, affecting drug efficacy and/or toxicity of 51 medication treatment modalities. These data also reflect on the differences observed in the prevalence of high-risk genotypes in these populations, as far as common markers in the CYP2C9, CYP2C19, CYP3A5, VKORC1, SLCO1B1 and TPMT pharmacogenes are concerned. Also, our data demonstrate notable differences in predicted genotype-based warfarin dosing among these populations. Our findings can be exploited not only to develop guidelines for medical prioritization, but most importantly to facilitate integration of pharmacogenomics and to support pre-emptive pharmacogenomic testing. This may subsequently contribute towards significant cost-savings in the overall healthcare expenditure in the participating countries, where pharmacogenomics implementation proves to be cost-effective.
- Published
- 2016
- Full Text
- View/download PDF
5. A European Spectrum of Pharmacogenomic Biomarkers: Implications for Clinical Pharmacogenomics
- Author
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Mizzi, Clint, Dalabira, E, Kumuthini, J, Dzimiri, N, Balogh, I, Basak, N, Bohm, R, Borg, J, Borgiani, P, Bozina, N, Bruckmueller, H, Burzynska, B, Carracedo, A, Cascorbi, I, Deltas, C, Dolzan, V, Fenech, A, Grech, G, Kasiulevicius, V, Kadasi, L, Kucinskas, V, Khusnutdinova, E, Loukas, Y L, Macek, M, Makukh, H, Mathijssen, Ron, Mitropoulos, K, Mitropoulou, C, Novelli, G, Papantoni, I, Pavlovic, S, Saglio, G, Setric, J, Stojiljkovic, M, Stubbs, Andrew, Squassina, A, Torres, M, Turnovec, M, van Schaik, Ron, Voskarides, K, Wakil, S M, Werk, A, Del Zompo, M, Zukic, B, Katsila, T, Lee, MTM, Motsinger-Rief, A, Mc Leod, H L, van der Spek, Peter, Patrinos, George, Mizzi, Clint, Dalabira, E, Kumuthini, J, Dzimiri, N, Balogh, I, Basak, N, Bohm, R, Borg, J, Borgiani, P, Bozina, N, Bruckmueller, H, Burzynska, B, Carracedo, A, Cascorbi, I, Deltas, C, Dolzan, V, Fenech, A, Grech, G, Kasiulevicius, V, Kadasi, L, Kucinskas, V, Khusnutdinova, E, Loukas, Y L, Macek, M, Makukh, H, Mathijssen, Ron, Mitropoulos, K, Mitropoulou, C, Novelli, G, Papantoni, I, Pavlovic, S, Saglio, G, Setric, J, Stojiljkovic, M, Stubbs, Andrew, Squassina, A, Torres, M, Turnovec, M, van Schaik, Ron, Voskarides, K, Wakil, S M, Werk, A, Del Zompo, M, Zukic, B, Katsila, T, Lee, MTM, Motsinger-Rief, A, Mc Leod, H L, van der Spek, Peter, and Patrinos, George
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- 2016
6. Correction: A European Spectrum of Pharmacogenomic Biomarkers: Implications for Clinical Pharmacogenomics.
- Author
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Mizzi C, Dalabira E, Kumuthini J, Dzimiri N, Balogh I, Başak N, Böhm R, Borg J, Borgiani P, Bozina N, Bruckmueller H, Burzynska B, Carracedo A, Cascorbi I, Deltas C, Dolzan V, Fenech A, Grech G, Kasiulevicius V, Kádaši Ľ, Kučinskas V, Khusnutdinova E, Loukas YL, Macek M Jr, Makukh H, Mathijssen R, Mitropoulos K, Mitropoulou C, Novelli G, Papantoni I, Pavlovic S, Saglio G, Sertić J, Stojiljkovic M, Stubbs AP, Squassina A, Torres M, Turnovec M, van Schaik RH, Voskarides K, Wakil SM, Werk A, Del Zompo M, Zukic B, Katsila T, Lee MT, Motsinger-Rief A, Mc Leod HL, van der Spek PJ, and Patrinos GP
- Abstract
[This corrects the article DOI: 10.1371/journal.pone.0162866.].
- Published
- 2017
- Full Text
- View/download PDF
7. A European Spectrum of Pharmacogenomic Biomarkers: Implications for Clinical Pharmacogenomics.
- Author
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Mizzi C, Dalabira E, Kumuthini J, Dzimiri N, Balogh I, Başak N, Böhm R, Borg J, Borgiani P, Bozina N, Bruckmueller H, Burzynska B, Carracedo A, Cascorbi I, Deltas C, Dolzan V, Fenech A, Grech G, Kasiulevicius V, Kádaši Ľ, Kučinskas V, Khusnutdinova E, Loukas YL, Macek M Jr, Makukh H, Mathijssen R, Mitropoulos K, Mitropoulou C, Novelli G, Papantoni I, Pavlovic S, Saglio G, Setric J, Stojiljkovic M, Stubbs AP, Squassina A, Torres M, Turnovec M, van Schaik RH, Voskarides K, Wakil SM, Werk A, Del Zompo M, Zukic B, Katsila T, Lee MT, Motsinger-Rief A, Mc Leod HL, van der Spek PJ, and Patrinos GP
- Subjects
- Anticoagulants administration & dosage, Anticoagulants pharmacokinetics, Cluster Analysis, Cytochrome P-450 CYP2C9 genetics, Ethnicity genetics, Europe, Humans, Vitamin K Epoxide Reductases genetics, Warfarin administration & dosage, Warfarin pharmacokinetics, Genetic Markers, Pharmacogenetics
- Abstract
Pharmacogenomics aims to correlate inter-individual differences of drug efficacy and/or toxicity with the underlying genetic composition, particularly in genes encoding for protein factors and enzymes involved in drug metabolism and transport. In several European populations, particularly in countries with lower income, information related to the prevalence of pharmacogenomic biomarkers is incomplete or lacking. Here, we have implemented the microattribution approach to assess the pharmacogenomic biomarkers allelic spectrum in 18 European populations, mostly from developing European countries, by analyzing 1,931 pharmacogenomics biomarkers in 231 genes. Our data show significant inter-population pharmacogenomic biomarker allele frequency differences, particularly in 7 clinically actionable pharmacogenomic biomarkers in 7 European populations, affecting drug efficacy and/or toxicity of 51 medication treatment modalities. These data also reflect on the differences observed in the prevalence of high-risk genotypes in these populations, as far as common markers in the CYP2C9, CYP2C19, CYP3A5, VKORC1, SLCO1B1 and TPMT pharmacogenes are concerned. Also, our data demonstrate notable differences in predicted genotype-based warfarin dosing among these populations. Our findings can be exploited not only to develop guidelines for medical prioritization, but most importantly to facilitate integration of pharmacogenomics and to support pre-emptive pharmacogenomic testing. This may subsequently contribute towards significant cost-savings in the overall healthcare expenditure in the participating countries, where pharmacogenomics implementation proves to be cost-effective., Competing Interests: The authors have declared that no competing interests exist.
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- 2016
- Full Text
- View/download PDF
8. Pharmacometabolomics-aided Pharmacogenomics in Autoimmune Disease.
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Katsila T, Konstantinou E, Lavda I, Malakis H, Papantoni I, Skondra L, and Patrinos GP
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- Algorithms, Autoimmune Diseases metabolism, Autoimmune Diseases pathology, Decision Making, Computer-Assisted, Drug Therapy, Computer-Assisted, Gene-Environment Interaction, Humans, Pharmacogenetics, Precision Medicine, Autoimmune Diseases drug therapy, Autoimmune Diseases genetics, Medical Informatics, Metabolomics
- Abstract
Inter-individual variability has been a major hurdle to optimize disease management. Precision medicine holds promise for improving health and healthcare via tailor-made therapeutic strategies. Herein, we outline the paradigm of "pharmacometabolomics-aided pharmacogenomics" in autoimmune diseases. We envisage merging pharmacometabolomic and pharmacogenomic data (to address the interplay of genomic and environmental influences) with information technologies to facilitate data analysis as well as sense- and decision-making on the basis of synergy between artificial and human intelligence. Humans can detect patterns, which computer algorithms may fail to do so, whereas data-intensive and cognitively complex settings and processes limit human ability. We propose that better-informed, rapid and cost-effective omics studies need the implementation of holistic and multidisciplinary approaches.
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- 2016
- Full Text
- View/download PDF
9. Individualizing fetal hemoglobin augmenting therapy for β-type hemoglobinopathies patients.
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Gravia A, Chondrou V, Sgourou A, Papantoni I, Borg J, Katsila T, Papachatzopoulou A, and Patrinos GP
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- Anemia, Sickle Cell pathology, Humans, Hydroxyurea administration & dosage, Hydroxyurea therapeutic use, Pharmacogenetics, Polymorphism, Single Nucleotide, Precision Medicine, beta-Thalassemia drug therapy, beta-Thalassemia pathology, Anemia, Sickle Cell genetics, Fetal Hemoglobin genetics, Hydroxyurea adverse effects, beta-Thalassemia genetics
- Abstract
Individual genetic composition is an important cause of variations in the response and tolerance to drug treatment. Pharmacogenomics is a modern discipline aiming to delineate individual genomic profiles and drug response. To date, there are several medical disciplines where pharmacogenomics is readily applicable, while in others its usefulness is yet to be demonstrated. Recent experimental evidence suggest that besides genomic variation within the human β-globin gene cluster, other variants in modifier genes residing outside the human β-globin gene cluster are significantly associated with response to hydroxyurea treatment in β-type hemoglobinopathies patients, deducted from the increase in fetal hemoglobin levels. This article aims to provide an update and to discuss future challenges on the application of pharmacogenomics for β-type hemoglobinopathies therapeutics in relation to the current pharmacological treatment modalities for those disorders.
- Published
- 2014
- Full Text
- View/download PDF
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