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      Frequencies of clinically important CYP2C19 and CYP2D6 alleles are graded across Europe

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          Abstract

          CYP2C19 and CYP2D6 are important drug-metabolizing enzymes that are involved in the metabolism of around 30% of all medications. Importantly, the corresponding genes are highly polymorphic and these genetic differences contribute to interindividual and interethnic differences in drug pharmacokinetics, response, and toxicity. In this study we systematically analyzed the frequency distribution of clinically relevant CYP2C19 and CYP2D6 alleles across Europe based on data from 82,791 healthy individuals extracted from 79 original publications and, for the first time, provide allele confidence intervals for the general population. We found that frequencies of CYP2D6 gene duplications showed a clear South-East to North-West gradient ranging from <1% in Sweden and Denmark to 6% in Greece and Turkey. In contrast, an inverse distribution was observed for the loss-of-function alleles CYP2D6*4 and CYP2D6*5. Similarly, frequencies of the inactive CYP2C19*2 allele were graded from North-West to South-East Europe. In important contrast to previous work we found that the increased activity allele CYP2C19*17 was most prevalent in Central Europe (25–33%) with lower prevalence in Mediterranean-South Europeans (11–24%). In summary, we provide a detailed European map of common CYP2C19 and CYP2D6 variants and find that frequencies of the most clinically relevant alleles are geographically graded reflective of Europe’s migratory history. These findings emphasize the importance of generating pharmacogenomic data sets with high spatial resolution to improve precision public health across Europe.

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          Worldwide Distribution of Cytochrome P450 Alleles: A Meta‐analysis of Population‐scale Sequencing Projects

          Genetic polymorphisms in cytochrome P450 (CYP) genes can result in altered metabolic activity toward a plethora of clinically important medications. Thus, single nucleotide variants and copy number variations in CYP genes are major determinants of drug pharmacokinetics and toxicity and constitute pharmacogenetic biomarkers for drug dosing, efficacy, and safety. Strikingly, the distribution of CYP alleles differs considerably between populations with important implications for personalized drug therapy and healthcare programs. To provide a global distribution map of CYP alleles with clinical importance, we integrated whole‐genome and exome sequencing data from 56,945 unrelated individuals of five major human populations. By combining this dataset with population‐specific linkage information, we derive the frequencies of 176 CYP haplotypes, providing an extensive resource for major genetic determinants of drug metabolism. Furthermore, we aggregated this dataset into spectra of predicted functional variability in the respective populations and discuss the implications for population‐adjusted pharmacological treatment strategies.
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            A common novel CYP2C19 gene variant causes ultrarapid drug metabolism relevant for the drug response to proton pump inhibitors and antidepressants.

            Many drugs, including proton pump inhibitors and certain antidepressants, are metabolized by the polymorphic cytochrome P450 (CYP) 2C19 enzyme. A significant portion of extensive metabolizers do not reach appropriate drug levels, and our objective was to investigate any genetic background. The 5'-flanking region of the CYP2C19 gene from subjects with rapid omeprazole metabolism was sequenced, and CYP2C19 phenotype-genotype associations were analyzed in Swedish (n = 107) and Ethiopian (n = 126) extensive metabolizers. The relationship of the metabolic ratio of omeprazole (omeprazole/5-hydroxyomeprazole in plasma 3 hours after drug intake) with the area under the plasma concentration-time curve was used for prediction studies. Electrophoretic mobility shift assays were conducted by use of human nuclear protein extracts. Hepatic reporter vector transfections were carried out in CD1 mice. We identified a novel allele (CYP2C19*17) carrying -806C>T and -3402C>T, with a frequency of 18% in both Swedes and Ethiopians and 4% in Chinese subjects. In Swedes the metabolic ratio of omeprazole was higher in subjects homozygous for CYP2C19*1 (median, 0.50 [interquartile range, 0.37-0.73]) than in those homozygous for CYP2C19*17 (median, 0.25 [interquartile range, 0.15-0.33]) (P = .010). In Ethiopians a similar difference in the S/R-mephenytoin ratio was observed between individuals homozygous for CYP2C19*1 (median, 0.20 [interquartile range, 0.12-0.37]) and those homozygous for CYP2C19*17 (median, 0.05 [interquartile range, 0.03-0.06]) (P = .013). Electrophoretic mobility shift assays showed specific binding of human hepatic nuclear proteins to an element carrying -806T but not -806C. Reporter vector experiments showed an increased transcriptional activity of the CYP2C19*17 allele in vivo in mice. Predictions revealed that CYP2C19*17 homozygotes would attain 35% to 40% lower omeprazole area under the plasma concentration-time curve values than subjects homozygous for CYP2C19*1 taking standard doses of omeprazole. CYP2C19*17 is likely to cause therapeutic failures in drug treatment with, for example, proton pump inhibitors and antidepressants.
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              Medication use leading to emergency department visits for adverse drug events in older adults.

              The Beers criteria identify inappropriate use of medications in older adults. The number of and risk for adverse events from these medications are unknown. To estimate the number of and risk for emergency department visits for adverse events involving Beers criteria medications compared with other medications. Nationally representative, public health surveillance of adverse drug events and a cross-sectional survey of outpatient medical visits. National Electronic Injury Surveillance System-Cooperative Adverse Drug Event Surveillance System, 2004-2005; National Ambulatory Medical Care Survey, 2004; and National Hospital Ambulatory Medical Care Survey, 2004. Persons 65 years of age or older seeking emergency department and outpatient care. Estimated number of and risks for emergency department visits for adverse drug events involving Beers criteria medications and other medications. Among U.S. patients 65 years of age or older, an estimated 177,504 emergency department visits (95% CI, 100,155 to 254,854 visits) for adverse drug events occurred both years. An estimated 3.6% (CI, 2.8% to 4.5%) of these visits were for adverse events medications considered to be always potentially inappropriate, according to the Beers criteria, and 33.3% (CI, 27.8% to 38.7%) of visits were for adverse events from 3 other medications (warfarin [17.3%], insulin [13.0%], and digoxin [3.2%]). Accounting for outpatient prescription frequency, the risk for emergency department visits for adverse events due to these 3 medications was 35 times (CI, 9.6 to 61) greater than that for medications considered to be always potentially inappropriate. Adverse events were identified only in emergency departments. Compared with other medications, Beers criteria medications caused low numbers of and few risks for emergency department visits for adverse events. Performance measures and interventions targeting warfarin, insulin, and digoxin use could prevent more emergency department visits for adverse events.
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                Author and article information

                Contributors
                volker.lauschke@ki.se
                Journal
                Eur J Hum Genet
                Eur. J. Hum. Genet
                European Journal of Human Genetics
                Springer International Publishing (Cham )
                1018-4813
                1476-5438
                29 July 2019
                29 July 2019
                January 2020
                : 28
                : 1
                : 88-94
                Affiliations
                [1 ]ISNI 0000 0004 1937 0626, GRID grid.4714.6, Department of Physiology and Pharmacology, Section of Pharmacogenetics, , Karolinska Institutet, ; Stockholm, Sweden
                [2 ]ISNI 0000 0001 2166 9385, GRID grid.7149.b, Faculty of Pharmacy, Department of Physiology, , University of Belgrade, ; Belgrade, Serbia
                Author information
                http://orcid.org/0000-0002-1140-6204
                Article
                480
                10.1038/s41431-019-0480-8
                6906321
                31358955
                464f09fb-58e7-474d-9bee-99c27083bc61
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 15 March 2019
                : 3 July 2019
                : 17 July 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100004359, Vetenskapsrådet (Swedish Research Council);
                Award ID: 2016-01154
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100010661, EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020);
                Award ID: 668353
                Award Recipient :
                Funded by: Lennart Philipson Foundation Harald and Greta Jeansson Foundation
                Categories
                Article
                Custom metadata
                © European Society of Human Genetics 2020

                Genetics
                genetic variation,genetics research,epidemiology
                Genetics
                genetic variation, genetics research, epidemiology

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