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Published in: Journal of Translational Medicine 1/2021

Open Access 01-12-2021 | Research

Clinical pharmacogenomics in action: design, assessment and implementation of a novel pharmacogenetic panel supporting drug selection for diseases of the central nervous system (CNS)

Authors: E. Bothos, E. Ntoumou, K. Kelaidoni, D. Roukas, N. Drakoulis, M. Papasavva, F. A. Karakostis, P. Moulos, K. Karakostis

Published in: Journal of Translational Medicine | Issue 1/2021

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Abstract

Background

Pharmacogenomics describes the link between gene variations (polymorphisms) and drug responses. In view of the implementation of precision medicine in personalized healthcare, pharmacogenetic tests have recently been introduced in the clinical practice. However, the translational aspects of such tests have been limited due to the lack of robust population-based evidence.

Materials

In this paper we present a novel pharmacogenetic panel (iDNA Genomics-PGx–CNS or PGx–CNS), consisting of 24 single nucleotide polymorphisms (SNPs) on 13 genes involved in the signaling or/and the metabolism of 28 approved drugs currently administered to treat diseases of the Central Nervous System (CNS). We have tested the PGx–CNS panel on 501 patient-derived DNA samples from a southeastern European population and applied biostatistical analyses on the pharmacogenetic associations involving drug selection, dosing and the risk of adverse drug events (ADEs).

Results

Results reveal the occurrences of each SNP in the sample and a strong correlation with the European population. Nonlinear principal component analysis strongly indicates co-occurrences of certain variants. The metabolization efficiency (poor, intermediate, extensive, ultra-rapid) and the frequency of clinical useful pharmacogenetic, associations in the population (drug relevance), are also described, along with four exemplar clinical cases illustrating the strong potential of the PGx–CNS panel, as a companion diagnostic assay. It is noted that pharmacogenetic associations involving copy number variations (CNVs) or the HLA gene were not included in this analysis.

Conclusions

Overall, results illustrate that the PGx–CNS panel is a valuable tool supporting therapeutic medical decisions, urging its broad clinical implementation.
Appendix
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Footnotes
4
Medical classification as listed by WHO under the range—Mental, Behavioral and Neurodevelopmental disorders.
 
5
Medical classification as listed by WHO under the range—Mental, Behavioral and Neurodevelopmental disorders.
 
6
Medical classification as listed by WHO under the range—Mental, Behavioral and Neurodevelopmental disorders.
 
Literature
1.
go back to reference Weinshilboum RM, Wang L. Pharmacogenetics and pharmacogenomics: development, science, and translation. Annu Rev Genomics Hum Genet. 2006;7:223–45.PubMedCrossRef Weinshilboum RM, Wang L. Pharmacogenetics and pharmacogenomics: development, science, and translation. Annu Rev Genomics Hum Genet. 2006;7:223–45.PubMedCrossRef
2.
go back to reference Oros MM. Pharmacogenetic criteria of drug-resistant epilepsy. Lik Sprava. 2012;8:71–4. Oros MM. Pharmacogenetic criteria of drug-resistant epilepsy. Lik Sprava. 2012;8:71–4.
3.
go back to reference Bousman CA, Hopwood M. Commercial pharmacogenetic-based decision-support tools in psychiatry. Lancet Psychiatry. 2016;3:585–90.PubMedCrossRef Bousman CA, Hopwood M. Commercial pharmacogenetic-based decision-support tools in psychiatry. Lancet Psychiatry. 2016;3:585–90.PubMedCrossRef
4.
5.
go back to reference Kostyuk GP, Zakharova NV, Reznik AM, Surkova EI, Ilinsky VV. Perspectives of the use of pharmacogenetic tests in neurology and psychiatry. Zh Nevrol Psikhiatr Im S S Korsakova. 2019;119:131–5.PubMedCrossRef Kostyuk GP, Zakharova NV, Reznik AM, Surkova EI, Ilinsky VV. Perspectives of the use of pharmacogenetic tests in neurology and psychiatry. Zh Nevrol Psikhiatr Im S S Korsakova. 2019;119:131–5.PubMedCrossRef
6.
go back to reference Papasavva M, Katsarou MS, Vikelis M, Mitropoulou E, Dermitzakis EV, Papakonstantinou S, Arvaniti C, Mitsikostas DD, Gozes I, Tsatsakis AM, Drakoulis N. Analysis of HCRTR2, GNB3, and ADH4 Gene polymorphisms in a Southeastern European Caucasian cluster headache population. J Mol Neurosci. 2020;70:467–74.PubMedCrossRef Papasavva M, Katsarou MS, Vikelis M, Mitropoulou E, Dermitzakis EV, Papakonstantinou S, Arvaniti C, Mitsikostas DD, Gozes I, Tsatsakis AM, Drakoulis N. Analysis of HCRTR2, GNB3, and ADH4 Gene polymorphisms in a Southeastern European Caucasian cluster headache population. J Mol Neurosci. 2020;70:467–74.PubMedCrossRef
7.
go back to reference Relling MV, Klein TE. CPIC: clinical pharmacogenetics implementation consortium of the pharmacogenomics research network. Clin Pharmacol Ther. 2011;89:464–7.PubMedPubMedCentralCrossRef Relling MV, Klein TE. CPIC: clinical pharmacogenetics implementation consortium of the pharmacogenomics research network. Clin Pharmacol Ther. 2011;89:464–7.PubMedPubMedCentralCrossRef
8.
go back to reference Verbeurgt P, Mamiya T, Oesterheld J. How common are drug and gene interactions? Prevalence in a sample of 1143 patients with CYP2C9, CYP2C19 and CYP2D6 genotyping. Pharmacogenomics. 2014;15:655–65.PubMedCrossRef Verbeurgt P, Mamiya T, Oesterheld J. How common are drug and gene interactions? Prevalence in a sample of 1143 patients with CYP2C9, CYP2C19 and CYP2D6 genotyping. Pharmacogenomics. 2014;15:655–65.PubMedCrossRef
10.
go back to reference Whirl-Carrillo M, McDonagh EM, Hebert JM, Gong L, Sangkuhl K, Thorn CF, Altman RB, Klein TE. Pharmacogenomics knowledge for personalized medicine. Clin Pharmacol Ther. 2012;92:414–7.PubMedCrossRef Whirl-Carrillo M, McDonagh EM, Hebert JM, Gong L, Sangkuhl K, Thorn CF, Altman RB, Klein TE. Pharmacogenomics knowledge for personalized medicine. Clin Pharmacol Ther. 2012;92:414–7.PubMedCrossRef
11.
go back to reference Nassan M, Nicholson WT, Elliott MA, Rohrer Vitek CR, Black JL, Frye MA. Pharmacokinetic pharmacogenetic prescribing guidelines for antidepressants: a template for psychiatric precision medicine. Mayo Clin Proc. 2016;91:897–907.PubMedCrossRef Nassan M, Nicholson WT, Elliott MA, Rohrer Vitek CR, Black JL, Frye MA. Pharmacokinetic pharmacogenetic prescribing guidelines for antidepressants: a template for psychiatric precision medicine. Mayo Clin Proc. 2016;91:897–907.PubMedCrossRef
12.
go back to reference Saldivar JS, Taylor D, Sugarman EA, Cullors A, Garces JA, Oades K, Centeno J. Initial assessment of the benefits of implementing pharmacogenetics into the medical management of patients in a long-term care facility. Pharmgenomics Pers Med. 2016;9:1–6.PubMedPubMedCentral Saldivar JS, Taylor D, Sugarman EA, Cullors A, Garces JA, Oades K, Centeno J. Initial assessment of the benefits of implementing pharmacogenetics into the medical management of patients in a long-term care facility. Pharmgenomics Pers Med. 2016;9:1–6.PubMedPubMedCentral
13.
go back to reference Bradley P, Shiekh M, Mehra V, Vrbicky K, Layle S, Olson MC, Maciel A, Cullors A, Garces JA, Lukowiak AA. Improved efficacy with targeted pharmacogenetic-guided treatment of patients with depression and anxiety: a randomized clinical trial demonstrating clinical utility. J Psychiatr Res. 2018;96:100–7.PubMedCrossRef Bradley P, Shiekh M, Mehra V, Vrbicky K, Layle S, Olson MC, Maciel A, Cullors A, Garces JA, Lukowiak AA. Improved efficacy with targeted pharmacogenetic-guided treatment of patients with depression and anxiety: a randomized clinical trial demonstrating clinical utility. J Psychiatr Res. 2018;96:100–7.PubMedCrossRef
14.
go back to reference Butler BM, Kazan IC, Kumar A, Ozkan SB. Coevolving residues inform protein dynamics profiles and disease susceptibility of nSNVs. PLoS Comput Biol. 2018;14:e1006626.PubMedPubMedCentralCrossRef Butler BM, Kazan IC, Kumar A, Ozkan SB. Coevolving residues inform protein dynamics profiles and disease susceptibility of nSNVs. PLoS Comput Biol. 2018;14:e1006626.PubMedPubMedCentralCrossRef
15.
go back to reference Franco-Martin MA, Sans F, Garcia-Berrocal B, Blanco C, Llanes-Alvarez C, Isidoro-Garcia M. Usefulness of pharmacogenetic analysis in psychiatric clinical practice: a case report. Clin Psychopharmacol Neurosci. 2018;16:349–57.PubMedPubMedCentralCrossRef Franco-Martin MA, Sans F, Garcia-Berrocal B, Blanco C, Llanes-Alvarez C, Isidoro-Garcia M. Usefulness of pharmacogenetic analysis in psychiatric clinical practice: a case report. Clin Psychopharmacol Neurosci. 2018;16:349–57.PubMedPubMedCentralCrossRef
16.
go back to reference Maciel A, Cullors A, Lukowiak AA, Garces J. Estimating cost savings of pharmacogenetic testing for depression in real-world clinical settings. Neuropsychiatr Dis Treat. 2018;14:225–30.PubMedPubMedCentralCrossRef Maciel A, Cullors A, Lukowiak AA, Garces J. Estimating cost savings of pharmacogenetic testing for depression in real-world clinical settings. Neuropsychiatr Dis Treat. 2018;14:225–30.PubMedPubMedCentralCrossRef
17.
go back to reference Volpi S, Bult CJ, Chisholm RL, Deverka PA, Ginsburg GS, Jacob HJ, Kasapi M, McLeod HL, Roden DM, Williams MS, et al. Research directions in the clinical implementation of pharmacogenomics: an overview of US programs and projects. Clin Pharmacol Ther. 2018;103:778–86.PubMedCrossRef Volpi S, Bult CJ, Chisholm RL, Deverka PA, Ginsburg GS, Jacob HJ, Kasapi M, McLeod HL, Roden DM, Williams MS, et al. Research directions in the clinical implementation of pharmacogenomics: an overview of US programs and projects. Clin Pharmacol Ther. 2018;103:778–86.PubMedCrossRef
18.
go back to reference Kim WY, Kim HS, Oh M, Shin JG. Survey of physicians’ views on the clinical implementation of pharmacogenomics-based personalized therapy. Transl Clin Pharmacol. 2020;28:34–42.PubMedPubMedCentralCrossRef Kim WY, Kim HS, Oh M, Shin JG. Survey of physicians’ views on the clinical implementation of pharmacogenomics-based personalized therapy. Transl Clin Pharmacol. 2020;28:34–42.PubMedPubMedCentralCrossRef
19.
go back to reference McDonagh EM, Whirl-Carrillo M, Garten Y, Altman RB, Klein TE. From pharmacogenomic knowledge acquisition to clinical applications: the PharmGKB as a clinical pharmacogenomic biomarker resource. Biomark Med. 2011;5:795–806.PubMedCrossRef McDonagh EM, Whirl-Carrillo M, Garten Y, Altman RB, Klein TE. From pharmacogenomic knowledge acquisition to clinical applications: the PharmGKB as a clinical pharmacogenomic biomarker resource. Biomark Med. 2011;5:795–806.PubMedCrossRef
20.
go back to reference Cariaso M, Lennon G. SNPedia: a wiki supporting personal genome annotation, interpretation and analysis. Nucleic Acids Res. 2012;40:D1308-1312.PubMedCrossRef Cariaso M, Lennon G. SNPedia: a wiki supporting personal genome annotation, interpretation and analysis. Nucleic Acids Res. 2012;40:D1308-1312.PubMedCrossRef
21.
go back to reference Wishart DS, Feunang YD, Guo AC, Lo EJ, Marcu A, Grant JR, Sajed T, Johnson D, Li C, Sayeeda Z, et al. DrugBank 5.0: a major update to the DrugBank database for 2018. Nucleic Acids Res. 2018;46:1074–82.CrossRef Wishart DS, Feunang YD, Guo AC, Lo EJ, Marcu A, Grant JR, Sajed T, Johnson D, Li C, Sayeeda Z, et al. DrugBank 5.0: a major update to the DrugBank database for 2018. Nucleic Acids Res. 2018;46:1074–82.CrossRef
22.
go back to reference Maggo SDS, Sycamore KLV, Miller AL, Kennedy MA. The Three Ps: Psychiatry, Pharmacy, and Pharmacogenomics, a brief report from New Zealand. Front Psychiatry. 2019;10:690.PubMedPubMedCentralCrossRef Maggo SDS, Sycamore KLV, Miller AL, Kennedy MA. The Three Ps: Psychiatry, Pharmacy, and Pharmacogenomics, a brief report from New Zealand. Front Psychiatry. 2019;10:690.PubMedPubMedCentralCrossRef
23.
go back to reference Ludwig PE, Reddy V, Varacallo M. Neuroanatomy, central nervous system (CNS). Treasure Island: In StatPearls; 2020. Ludwig PE, Reddy V, Varacallo M. Neuroanatomy, central nervous system (CNS). Treasure Island: In StatPearls; 2020.
25.
go back to reference MacQueen G, Born L, Steiner M. The selective serotonin reuptake inhibitor sertraline: its profile and use in psychiatric disorders. CNS Drug Rev. 2001;7:1–24.PubMedPubMedCentralCrossRef MacQueen G, Born L, Steiner M. The selective serotonin reuptake inhibitor sertraline: its profile and use in psychiatric disorders. CNS Drug Rev. 2001;7:1–24.PubMedPubMedCentralCrossRef
27.
go back to reference Petrovic J, Pesic V, Lauschke VM. Frequencies of clinically important CYP2C19 and CYP2D6 alleles are graded across Europe. Eur J Hum Genet. 2020;28:88–94.PubMedCrossRef Petrovic J, Pesic V, Lauschke VM. Frequencies of clinically important CYP2C19 and CYP2D6 alleles are graded across Europe. Eur J Hum Genet. 2020;28:88–94.PubMedCrossRef
28.
go back to reference Chowdhury NI, Tiwari AK, Souza RP, Zai CC, Shaikh SA, Chen S, Liu F, Lieberman JA, Meltzer HY, Malhotra AK, et al. Genetic association study between antipsychotic-induced weight gain and the melanocortin-4 receptor gene. Pharmacogenomics J. 2013;13:272–9.PubMedCrossRef Chowdhury NI, Tiwari AK, Souza RP, Zai CC, Shaikh SA, Chen S, Liu F, Lieberman JA, Meltzer HY, Malhotra AK, et al. Genetic association study between antipsychotic-induced weight gain and the melanocortin-4 receptor gene. Pharmacogenomics J. 2013;13:272–9.PubMedCrossRef
29.
go back to reference Czerwensky F, Leucht S, Steimer W. Association of the common MC4R rs17782313 polymorphism with antipsychotic-related weight gain. J Clin Psychopharmacol. 2013;33:74–9.PubMedCrossRef Czerwensky F, Leucht S, Steimer W. Association of the common MC4R rs17782313 polymorphism with antipsychotic-related weight gain. J Clin Psychopharmacol. 2013;33:74–9.PubMedCrossRef
30.
go back to reference Liou YH, Lin CT, Wu YJ, Wu LS. The high prevalence of the poor and ultrarapid metabolite alleles of CYP2D6, CYP2C9, CYP2C19, CYP3A4, and CYP3A5 in Taiwanese population. J Hum Genet. 2006;51:857.PubMedCrossRef Liou YH, Lin CT, Wu YJ, Wu LS. The high prevalence of the poor and ultrarapid metabolite alleles of CYP2D6, CYP2C9, CYP2C19, CYP3A4, and CYP3A5 in Taiwanese population. J Hum Genet. 2006;51:857.PubMedCrossRef
31.
go back to reference Ingelman-Sundberg M, Sim SC, Gomez A, Rodriguez-Antona C. Influence of cytochrome P450 polymorphisms on drug therapies: pharmacogenetic, pharmacoepigenetic and clinical aspects. Pharmacol Ther. 2007;116:496–526.PubMedCrossRef Ingelman-Sundberg M, Sim SC, Gomez A, Rodriguez-Antona C. Influence of cytochrome P450 polymorphisms on drug therapies: pharmacogenetic, pharmacoepigenetic and clinical aspects. Pharmacol Ther. 2007;116:496–526.PubMedCrossRef
32.
go back to reference Ramasamy K, Narayan SK, Shewade DG, Chandrasekaran A. Influence of CYP2C9 genetic polymorphism and undernourishment on plasma-free phenytoin concentrations in epileptic patients. Ther Drug Monit. 2010;32:762–6.PubMedCrossRef Ramasamy K, Narayan SK, Shewade DG, Chandrasekaran A. Influence of CYP2C9 genetic polymorphism and undernourishment on plasma-free phenytoin concentrations in epileptic patients. Ther Drug Monit. 2010;32:762–6.PubMedCrossRef
33.
go back to reference Smith RL, Haslemo T, Refsum H, Molden E. Impact of age, gender and CYP2C9/2C19 genotypes on dose-adjusted steady–state serum concentrations of valproic acid-a large-scale study based on naturalistic therapeutic drug monitoring data. Eur J Clin Pharmacol. 2016;72:1099–104.PubMedCrossRef Smith RL, Haslemo T, Refsum H, Molden E. Impact of age, gender and CYP2C9/2C19 genotypes on dose-adjusted steady–state serum concentrations of valproic acid-a large-scale study based on naturalistic therapeutic drug monitoring data. Eur J Clin Pharmacol. 2016;72:1099–104.PubMedCrossRef
34.
go back to reference International HapMap 3 Consortium, Altshuler DM, Gibbs RA, Peltonen L, Peltonen L, Dermitzakis E, Schaffner SF, Yu F, et al. Integrating common and rare genetic variation in diverse human populations. Nature. 2010;467:52–8.CrossRef International HapMap 3 Consortium, Altshuler DM, Gibbs RA, Peltonen L, Peltonen L, Dermitzakis E, Schaffner SF, Yu F, et al. Integrating common and rare genetic variation in diverse human populations. Nature. 2010;467:52–8.CrossRef
35.
go back to reference Gaedigk A, Sangkuhl K, Whirl-Carrillo M, Klein T, Leeder JS. Prediction of CYP2D6 phenotype from genotype across world populations. Genet Med. 2017;19:69–76.PubMedCrossRef Gaedigk A, Sangkuhl K, Whirl-Carrillo M, Klein T, Leeder JS. Prediction of CYP2D6 phenotype from genotype across world populations. Genet Med. 2017;19:69–76.PubMedCrossRef
36.
go back to reference McDonald JH. Handbook of biological statistics. Baltimore: Sparky House Publishing; 2014. McDonald JH. Handbook of biological statistics. Baltimore: Sparky House Publishing; 2014.
37.
go back to reference Cohen J. Statistical power analysis for the behavioral sciences. New York: Routledge; 1988. Cohen J. Statistical power analysis for the behavioral sciences. New York: Routledge; 1988.
38.
go back to reference George P, Moore DSM. By Dan Yates-Practice of Statistics: Advanced Placement. New York: W H Freeman & Co; 1999. George P, Moore DSM. By Dan Yates-Practice of Statistics: Advanced Placement. New York: W H Freeman & Co; 1999.
39.
go back to reference Holm S. A simple sequentially rejective multiple test procedure. Scand J Stat. 1979;6:65–70. Holm S. A simple sequentially rejective multiple test procedure. Scand J Stat. 1979;6:65–70.
40.
go back to reference Meulman JJ, Van der Kooij AJ, Babinec A. New features of categorical principal components analysis for complicated data sets, including data mining. In Classification, automation, and new media 2002 pp. 207-217. Springer, Berlin, Heidelberg Meulman JJ, Van der Kooij AJ, Babinec A. New features of categorical principal components analysis for complicated data sets, including data mining. In Classification, automation, and new media 2002 pp. 207-217. Springer, Berlin, Heidelberg
41.
go back to reference Linting M, Meulman JJ, Groenen PJ, van der Koojj AJ. Nonlinear principal components analysis: introduction and application. Psychol Methods. 2007;12:336–58.PubMedCrossRef Linting M, Meulman JJ, Groenen PJ, van der Koojj AJ. Nonlinear principal components analysis: introduction and application. Psychol Methods. 2007;12:336–58.PubMedCrossRef
42.
go back to reference Song Y, Westerhuis JA, Aben N, Michaut M, Wessels LFA, Smilde AK. Principal component analysis of binary genomics data. Brief Bioinform. 2019;20:317–29.PubMedCrossRef Song Y, Westerhuis JA, Aben N, Michaut M, Wessels LFA, Smilde AK. Principal component analysis of binary genomics data. Brief Bioinform. 2019;20:317–29.PubMedCrossRef
45.
go back to reference Yoon DY, Lee S, Ban MS, Jang IJ, Lee S. Pharmacogenomic information from CPIC and DPWG guidelines and its application on drug labels. Transl Clin Pharmacol. 2020;28:189–98.PubMedPubMedCentralCrossRef Yoon DY, Lee S, Ban MS, Jang IJ, Lee S. Pharmacogenomic information from CPIC and DPWG guidelines and its application on drug labels. Transl Clin Pharmacol. 2020;28:189–98.PubMedPubMedCentralCrossRef
46.
go back to reference Hicks JK, Bishop JR, Sangkuhl K, Muller DJ, Ji Y, Leckband SG, Leeder JS, Graham RL, Chiulli DL, Lerena A, et al. Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for CYP2D6 and CYP2C19 genotypes and dosing of selective serotonin reuptake inhibitors. Clin Pharmacol Ther. 2015;98:127–34.PubMedPubMedCentralCrossRef Hicks JK, Bishop JR, Sangkuhl K, Muller DJ, Ji Y, Leckband SG, Leeder JS, Graham RL, Chiulli DL, Lerena A, et al. Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for CYP2D6 and CYP2C19 genotypes and dosing of selective serotonin reuptake inhibitors. Clin Pharmacol Ther. 2015;98:127–34.PubMedPubMedCentralCrossRef
47.
48.
go back to reference Kerkhof J, Schenkel LC, Reilly J, McRobbie S, Aref-Eshghi E, Stuart A, Rupar CA, Adams P, Hegele RA, Lin H, et al. Clinical validation of copy number variant detection from targeted next-generation sequencing panels. J Mol Diagn. 2017;19:905–20.PubMedCrossRef Kerkhof J, Schenkel LC, Reilly J, McRobbie S, Aref-Eshghi E, Stuart A, Rupar CA, Adams P, Hegele RA, Lin H, et al. Clinical validation of copy number variant detection from targeted next-generation sequencing panels. J Mol Diagn. 2017;19:905–20.PubMedCrossRef
49.
50.
go back to reference Satapornpong P, Jinda P, Jantararoungtong T, Koomdee N, Chaichan C, Pratoomwun J, Na Nakorn C, Aekplakorn W, Wilantho A, Ngamphiw C, et al. Genetic diversity of HLA class I and class II alleles in Thai populations: contribution to genotype-guided therapeutics. Front Pharmacol. 2020;11:78.PubMedPubMedCentralCrossRef Satapornpong P, Jinda P, Jantararoungtong T, Koomdee N, Chaichan C, Pratoomwun J, Na Nakorn C, Aekplakorn W, Wilantho A, Ngamphiw C, et al. Genetic diversity of HLA class I and class II alleles in Thai populations: contribution to genotype-guided therapeutics. Front Pharmacol. 2020;11:78.PubMedPubMedCentralCrossRef
51.
go back to reference McCormack M, Urban TJ, Shianna KV, Walley N, Pandolfo M, Depondt C, Chaila E, O’Conner GD, Kasperaviciute D, Radtke RA, et al. Genome-wide mapping for clinically relevant predictors of lamotrigine- and phenytoin-induced hypersensitivity reactions. Pharmacogenomics. 2012;13:399–405.PubMedCrossRef McCormack M, Urban TJ, Shianna KV, Walley N, Pandolfo M, Depondt C, Chaila E, O’Conner GD, Kasperaviciute D, Radtke RA, et al. Genome-wide mapping for clinically relevant predictors of lamotrigine- and phenytoin-induced hypersensitivity reactions. Pharmacogenomics. 2012;13:399–405.PubMedCrossRef
52.
go back to reference Gaedigk A, Freeman N, Hartshorne T, Riffel AK, Irwin D, Bishop JR, Stein MA, Newcorn JH, Jaime LK, Cherner M, Leeder JS. SNP genotyping using TaqMan technology: the CYP2D6*17 assay conundrum. Sci Rep. 2015;5:9257.PubMedPubMedCentralCrossRef Gaedigk A, Freeman N, Hartshorne T, Riffel AK, Irwin D, Bishop JR, Stein MA, Newcorn JH, Jaime LK, Cherner M, Leeder JS. SNP genotyping using TaqMan technology: the CYP2D6*17 assay conundrum. Sci Rep. 2015;5:9257.PubMedPubMedCentralCrossRef
53.
go back to reference Stamatoyannopoulos G, Bose A, Teodosiadis A, Tsetsos F, Plantinga A, Psatha N, Zogas N, Yannaki E, Zalloua P, Kidd KK, et al. Genetics of the peloponnesean populations and the theory of extinction of the medieval peloponnesean Greeks. Eur J Hum Genet. 2017;25:637–45.PubMedPubMedCentralCrossRef Stamatoyannopoulos G, Bose A, Teodosiadis A, Tsetsos F, Plantinga A, Psatha N, Zogas N, Yannaki E, Zalloua P, Kidd KK, et al. Genetics of the peloponnesean populations and the theory of extinction of the medieval peloponnesean Greeks. Eur J Hum Genet. 2017;25:637–45.PubMedPubMedCentralCrossRef
54.
go back to reference Wendt FR, Novroski NMM, Rahikainen AL, Sajantila A, Budowle B. A pathway-driven predictive model of tramadol pharmacogenetics. Eur J Hum Genet. 2019;27:1143–56.PubMedPubMedCentralCrossRef Wendt FR, Novroski NMM, Rahikainen AL, Sajantila A, Budowle B. A pathway-driven predictive model of tramadol pharmacogenetics. Eur J Hum Genet. 2019;27:1143–56.PubMedPubMedCentralCrossRef
55.
go back to reference Scott SA, Edelmann L, Kornreich R, Erazo M, Desnick RJ. CYP2C9, CYP2C19 and CYP2D6 allele frequencies in the Ashkenazi Jewish population. Pharmacogenomics. 2007;8:721–30.PubMedCrossRef Scott SA, Edelmann L, Kornreich R, Erazo M, Desnick RJ. CYP2C9, CYP2C19 and CYP2D6 allele frequencies in the Ashkenazi Jewish population. Pharmacogenomics. 2007;8:721–30.PubMedCrossRef
56.
go back to reference Pathare AV, Al Zadjali S, Misquith R, Alkindi SS, Panjwani V, Lapoumeroulie C, Pravin S, Paldi A, Krishnamoorthy R. Warfarin pharmacogenetics: polymorphisms of the CYP2C9, CYP4F2, and VKORC1 loci in a genetically admixed Omani population. Hum Biol. 2012;84:67–77.PubMedCrossRef Pathare AV, Al Zadjali S, Misquith R, Alkindi SS, Panjwani V, Lapoumeroulie C, Pravin S, Paldi A, Krishnamoorthy R. Warfarin pharmacogenetics: polymorphisms of the CYP2C9, CYP4F2, and VKORC1 loci in a genetically admixed Omani population. Hum Biol. 2012;84:67–77.PubMedCrossRef
57.
go back to reference Cavallari LH, Jeong H, Bress A. Role of cytochrome P450 genotype in the steps toward personalized drug therapy. Pharmgenomics Pers Med. 2011;4:123–36.PubMedPubMedCentral Cavallari LH, Jeong H, Bress A. Role of cytochrome P450 genotype in the steps toward personalized drug therapy. Pharmgenomics Pers Med. 2011;4:123–36.PubMedPubMedCentral
58.
go back to reference Sychev DA, Denisenko NP, Sizova ZM, Grachev AV, Velikolug KA. The frequency of CYP2C19 genetic polymorphisms in Russian patients with peptic ulcers treated with proton pump inhibitors. Pharmgenomics Pers Med. 2015;8:111–4.PubMedPubMedCentral Sychev DA, Denisenko NP, Sizova ZM, Grachev AV, Velikolug KA. The frequency of CYP2C19 genetic polymorphisms in Russian patients with peptic ulcers treated with proton pump inhibitors. Pharmgenomics Pers Med. 2015;8:111–4.PubMedPubMedCentral
59.
go back to reference Del Tredici AL, Malhotra A, Dedek M, Espin F, Roach D, Zhu GD, Voland J, Moreno TA. Frequency of CYP2D6 alleles including structural variants in the United States. Front Pharmacol. 2018;9:305.PubMedPubMedCentralCrossRef Del Tredici AL, Malhotra A, Dedek M, Espin F, Roach D, Zhu GD, Voland J, Moreno TA. Frequency of CYP2D6 alleles including structural variants in the United States. Front Pharmacol. 2018;9:305.PubMedPubMedCentralCrossRef
60.
go back to reference Mukerjee G, Huston A, Kabakchiev B, Piquette-Miller M, van Schaik R, Dorfman R. User considerations in assessing pharmacogenomic tests and their clinical support tools. NPJ Genom Med. 2018;3:26.PubMedPubMedCentralCrossRef Mukerjee G, Huston A, Kabakchiev B, Piquette-Miller M, van Schaik R, Dorfman R. User considerations in assessing pharmacogenomic tests and their clinical support tools. NPJ Genom Med. 2018;3:26.PubMedPubMedCentralCrossRef
61.
go back to reference Bank PCD, Swen JJ, Guchelaar HJ. Estimated nationwide impact of implementing a preemptive pharmacogenetic panel approach to guide drug prescribing in primary care in The Netherlands. BMC Med. 2019;17:110.PubMedPubMedCentralCrossRef Bank PCD, Swen JJ, Guchelaar HJ. Estimated nationwide impact of implementing a preemptive pharmacogenetic panel approach to guide drug prescribing in primary care in The Netherlands. BMC Med. 2019;17:110.PubMedPubMedCentralCrossRef
62.
63.
go back to reference Ritter JK, Sheen YY, Owens IS. Cloning and expression of human liver UDP-glucuronosyltransferase in COS-1 cells. 3,4-catechol estrogens and estriol as primary substrates. J Biol Chem. 1990;265:7900–6.PubMedCrossRef Ritter JK, Sheen YY, Owens IS. Cloning and expression of human liver UDP-glucuronosyltransferase in COS-1 cells. 3,4-catechol estrogens and estriol as primary substrates. J Biol Chem. 1990;265:7900–6.PubMedCrossRef
64.
go back to reference Romkes M, Faletto MB, Blaisdell JA, Raucy JL, Goldstein JA. Cloning and expression of complementary DNAs for multiple members of the human cytochrome P450IIC subfamily. Biochemistry. 1991;30:3247–55.PubMedCrossRef Romkes M, Faletto MB, Blaisdell JA, Raucy JL, Goldstein JA. Cloning and expression of complementary DNAs for multiple members of the human cytochrome P450IIC subfamily. Biochemistry. 1991;30:3247–55.PubMedCrossRef
65.
go back to reference Ollis DL, Cheah E, Cygler M, Dijkstra B, Frolow F, Franken SM, Harel M, Remington SJ, Silman I, Schrag J, et al. The alpha/beta hydrolase fold. Protein Eng. 1992;5:197–211.PubMedCrossRef Ollis DL, Cheah E, Cygler M, Dijkstra B, Frolow F, Franken SM, Harel M, Remington SJ, Silman I, Schrag J, et al. The alpha/beta hydrolase fold. Protein Eng. 1992;5:197–211.PubMedCrossRef
66.
go back to reference Coffman BL, Rios GR, King CD, Tephly TR. Human UGT2B7 catalyzes morphine glucuronidation. Drug Metab Dispos. 1997;25:1–4.PubMed Coffman BL, Rios GR, King CD, Tephly TR. Human UGT2B7 catalyzes morphine glucuronidation. Drug Metab Dispos. 1997;25:1–4.PubMed
67.
go back to reference Fan W, Boston BA, Kesterson RA, Hruby VJ, Cone RD. Role of melanocortinergic neurons in feeding and the agouti obesity syndrome. Nature. 1997;385:165–8.PubMedCrossRef Fan W, Boston BA, Kesterson RA, Hruby VJ, Cone RD. Role of melanocortinergic neurons in feeding and the agouti obesity syndrome. Nature. 1997;385:165–8.PubMedCrossRef
68.
go back to reference Duaux E, Gorwood P, Griffon N, Bourdel MC, Sautel F, Sokoloff P, Schwartz JC, Ades J, Loo H, Poirier MF. Homozygosity at the dopamine D3 receptor gene is associated with opiate dependence. Mol Psychiatry. 1998;3:333–6.PubMedCrossRef Duaux E, Gorwood P, Griffon N, Bourdel MC, Sautel F, Sokoloff P, Schwartz JC, Ades J, Loo H, Poirier MF. Homozygosity at the dopamine D3 receptor gene is associated with opiate dependence. Mol Psychiatry. 1998;3:333–6.PubMedCrossRef
69.
go back to reference Mackenzie P, Little JM, Radominska-Pandya A. Glucosidation of hyodeoxycholic acid by UDP-glucuronosyltransferase 2B7. Biochem Pharmacol. 2003;65:417–21.PubMedCrossRef Mackenzie P, Little JM, Radominska-Pandya A. Glucosidation of hyodeoxycholic acid by UDP-glucuronosyltransferase 2B7. Biochem Pharmacol. 2003;65:417–21.PubMedCrossRef
70.
go back to reference Neville MJ, Johnstone EC, Walton RT. Identification and characterization of ANKK1: a novel kinase gene closely linked to DRD2 on chromosome band 11q231. Hum Mutat. 2004;23:540–5.PubMedCrossRef Neville MJ, Johnstone EC, Walton RT. Identification and characterization of ANKK1: a novel kinase gene closely linked to DRD2 on chromosome band 11q231. Hum Mutat. 2004;23:540–5.PubMedCrossRef
71.
go back to reference Alex KD, Yavanian GJ, McFarlane HG, Pluto CP, Pehek EA. Modulation of dopamine release by striatal 5-HT2C receptors. Synapse. 2005;55:242–51.PubMedCrossRef Alex KD, Yavanian GJ, McFarlane HG, Pluto CP, Pehek EA. Modulation of dopamine release by striatal 5-HT2C receptors. Synapse. 2005;55:242–51.PubMedCrossRef
72.
go back to reference Esposito E. Serotonin-dopamine interaction as a focus of novel antidepressant drugs. Curr Drug Targets. 2006;7:177–85.PubMedCrossRef Esposito E. Serotonin-dopamine interaction as a focus of novel antidepressant drugs. Curr Drug Targets. 2006;7:177–85.PubMedCrossRef
73.
go back to reference Barre L, Fournel-Gigleux S, Finel M, Netter P, Magdalou J, Ouzzine M. Substrate specificity of the human UDP-glucuronosyltransferase UGT2B4 and UGT2B7. Identification of a critical aromatic amino acid residue at position 33. FEBS J. 2007;274:1256–64.PubMedCrossRef Barre L, Fournel-Gigleux S, Finel M, Netter P, Magdalou J, Ouzzine M. Substrate specificity of the human UDP-glucuronosyltransferase UGT2B4 and UGT2B7. Identification of a critical aromatic amino acid residue at position 33. FEBS J. 2007;274:1256–64.PubMedCrossRef
74.
go back to reference Xuan J, Zhao X, He G, Yu L, Wang L, Tang W, Li X, Gu N, Feng G, Xing Q, He L. Effects of the dopamine D3 receptor (DRD3) gene polymorphisms on risperidone response: a pharmacogenetic study. Neuropsychopharmacology. 2008;33:305–11.PubMedCrossRef Xuan J, Zhao X, He G, Yu L, Wang L, Tang W, Li X, Gu N, Feng G, Xing Q, He L. Effects of the dopamine D3 receptor (DRD3) gene polymorphisms on risperidone response: a pharmacogenetic study. Neuropsychopharmacology. 2008;33:305–11.PubMedCrossRef
75.
go back to reference Coller JK, Christrup LL, Somogyi AA. Role of active metabolites in the use of opioids. Eur J Clin Pharmacol. 2009;65:121–39.PubMedCrossRef Coller JK, Christrup LL, Somogyi AA. Role of active metabolites in the use of opioids. Eur J Clin Pharmacol. 2009;65:121–39.PubMedCrossRef
77.
go back to reference Wang B, Yang LP, Zhang XZ, Huang SQ, Bartlam M, Zhou SF. New insights into the structural characteristics and functional relevance of the human cytochrome P450 2D6 enzyme. Drug Metab Rev. 2009;41:573–643.PubMedCrossRef Wang B, Yang LP, Zhang XZ, Huang SQ, Bartlam M, Zhou SF. New insights into the structural characteristics and functional relevance of the human cytochrome P450 2D6 enzyme. Drug Metab Rev. 2009;41:573–643.PubMedCrossRef
78.
79.
go back to reference Li Y, Kuzhikandathil EV. Molecular characterization of individual D3 dopamine receptor-expressing cells isolated from multiple brain regions of a novel mouse model. Brain Struct Funct. 2012;217:809–33.PubMedPubMedCentralCrossRef Li Y, Kuzhikandathil EV. Molecular characterization of individual D3 dopamine receptor-expressing cells isolated from multiple brain regions of a novel mouse model. Brain Struct Funct. 2012;217:809–33.PubMedPubMedCentralCrossRef
80.
go back to reference Teh LK, Bertilsson L. Pharmacogenomics of CYP2D6: molecular genetics, interethnic differences and clinical importance. Drug Metab Pharmacokinet. 2012;27:55–67.PubMedCrossRef Teh LK, Bertilsson L. Pharmacogenomics of CYP2D6: molecular genetics, interethnic differences and clinical importance. Drug Metab Pharmacokinet. 2012;27:55–67.PubMedCrossRef
81.
go back to reference Uppugunduri CR, Daali Y, Desmeules J, Dayer P, Krajinovic M, Ansari M. Transcriptional regulation of CYP2C19 and its role in altered enzyme activity. Curr Drug Metab. 2012;13:1196–204.PubMedCrossRef Uppugunduri CR, Daali Y, Desmeules J, Dayer P, Krajinovic M, Ansari M. Transcriptional regulation of CYP2C19 and its role in altered enzyme activity. Curr Drug Metab. 2012;13:1196–204.PubMedCrossRef
82.
go back to reference Hirota T, Eguchi S, Ieiri I. Impact of genetic polymorphisms in CYP2C9 and CYP2C19 on the pharmacokinetics of clinically used drugs. Drug Metab Pharmacokinet. 2013;28:28–37.PubMedCrossRef Hirota T, Eguchi S, Ieiri I. Impact of genetic polymorphisms in CYP2C9 and CYP2C19 on the pharmacokinetics of clinically used drugs. Drug Metab Pharmacokinet. 2013;28:28–37.PubMedCrossRef
83.
go back to reference O’Leary JC 3rd, Zhang B, Koren J 3rd, Blair L, Dickey CA. The role of FKBP5 in mood disorders: action of FKBP5 on steroid hormone receptors leads to questions about its evolutionary importance. CNS Neurol Disord Drug Targets. 2013;12:1157–62.PubMedPubMedCentral O’Leary JC 3rd, Zhang B, Koren J 3rd, Blair L, Dickey CA. The role of FKBP5 in mood disorders: action of FKBP5 on steroid hormone receptors leads to questions about its evolutionary importance. CNS Neurol Disord Drug Targets. 2013;12:1157–62.PubMedPubMedCentral
84.
go back to reference Clarke TK, Weiss AR, Ferarro TN, Kampman KM, Dackis CA, Pettinati HM, O’Brien CP, Oslin DW, Lohoff FW, Berrettini WH. The dopamine receptor D2 (DRD2) SNP rs1076560 is associated with opioid addiction. Ann Hum Genet. 2014;78:33–9.PubMedCrossRef Clarke TK, Weiss AR, Ferarro TN, Kampman KM, Dackis CA, Pettinati HM, O’Brien CP, Oslin DW, Lohoff FW, Berrettini WH. The dopamine receptor D2 (DRD2) SNP rs1076560 is associated with opioid addiction. Ann Hum Genet. 2014;78:33–9.PubMedCrossRef
85.
go back to reference Wang X, Li J, Dong G, Yue J. The endogenous substrates of brain CYP2D. Eur J Pharmacol. 2014;724:211–8.PubMedCrossRef Wang X, Li J, Dong G, Yue J. The endogenous substrates of brain CYP2D. Eur J Pharmacol. 2014;724:211–8.PubMedCrossRef
86.
go back to reference Benes FM. Building models for postmortem abnormalities in hippocampus of schizophrenics. Schizophr Res. 2015;167:73–83.PubMedCrossRef Benes FM. Building models for postmortem abnormalities in hippocampus of schizophrenics. Schizophr Res. 2015;167:73–83.PubMedCrossRef
87.
go back to reference Vaclavikova R, Hughes DJ, Soucek P. Microsomal epoxide hydrolase 1 (EPHX1): Gene, structure, function, and role in human disease. Gene. 2015;571:1–8.PubMedPubMedCentralCrossRef Vaclavikova R, Hughes DJ, Soucek P. Microsomal epoxide hydrolase 1 (EPHX1): Gene, structure, function, and role in human disease. Gene. 2015;571:1–8.PubMedPubMedCentralCrossRef
88.
go back to reference Kluckova D, Kolnikova M, Lacinova L, Jurkovicova-Tarabova B, Foltan T, Demko V, Kadasi L, Ficek A, Soltysova A. A study among the genotype, functional alternations, and phenotype of 9 SCN1A mutations in epilepsy patients. Sci Rep. 2020;10:10288.PubMedPubMedCentralCrossRef Kluckova D, Kolnikova M, Lacinova L, Jurkovicova-Tarabova B, Foltan T, Demko V, Kadasi L, Ficek A, Soltysova A. A study among the genotype, functional alternations, and phenotype of 9 SCN1A mutations in epilepsy patients. Sci Rep. 2020;10:10288.PubMedPubMedCentralCrossRef
89.
go back to reference Yang P, Perlmutter JS, Benzinger TLS, Morris JC, Xu J. Dopamine D3 receptor: a neglected participant in Parkinson disease pathogenesis and treatment? Ageing Res Rev. 2020;57:100994.PubMedCrossRef Yang P, Perlmutter JS, Benzinger TLS, Morris JC, Xu J. Dopamine D3 receptor: a neglected participant in Parkinson disease pathogenesis and treatment? Ageing Res Rev. 2020;57:100994.PubMedCrossRef
90.
go back to reference Yin J, Chen KM, Clark MJ, Hijazi M, Kumari P, Bai XC, Sunahara RK, Barth P, Rosenbaum DM. Structure of a D2 dopamine receptor-G-protein complex in a lipid membrane. Nature. 2020;584:125–9.PubMedPubMedCentralCrossRef Yin J, Chen KM, Clark MJ, Hijazi M, Kumari P, Bai XC, Sunahara RK, Barth P, Rosenbaum DM. Structure of a D2 dopamine receptor-G-protein complex in a lipid membrane. Nature. 2020;584:125–9.PubMedPubMedCentralCrossRef
Metadata
Title
Clinical pharmacogenomics in action: design, assessment and implementation of a novel pharmacogenetic panel supporting drug selection for diseases of the central nervous system (CNS)
Authors
E. Bothos
E. Ntoumou
K. Kelaidoni
D. Roukas
N. Drakoulis
M. Papasavva
F. A. Karakostis
P. Moulos
K. Karakostis
Publication date
01-12-2021
Publisher
BioMed Central
Published in
Journal of Translational Medicine / Issue 1/2021
Electronic ISSN: 1479-5876
DOI
https://doi.org/10.1186/s12967-021-02816-3

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