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Ethics, Opinions, Organisational

Precision psychiatry in clinical practice

, , ORCID Icon, , & ORCID Icon
Pages 19-27 | Received 16 Apr 2020, Accepted 06 Aug 2020, Published online: 27 Aug 2020

References

  • Agúndez JAG, et al. 2012. Toward a clinical practice guide in pharmacogenomics testing for functional polymorphisms of drug-metabolizing enzymes. Gene/drug pairs and barriers perceived in Spain. Front. Genet. 3. doi:10.3389/fgene.2012.00273
  • Arwood MJ, Chumnumwat S, Cavallari LH, Nutescu EA, Duarte JD. 2016. Implementing pharmacogenomics at your institution: establishment and overcoming implementation challenges. Clin Transl Sci. 9:233–245. doi:10.1111/cts.12404
  • Bank PCD, Caudle KE, Swen JJ, Gammal RS, Whirl-Carrillo M, Klein TE, Relling MV, Guchelaar H-J. 2018. Comparison of the Guidelines of the Clinical Pharmacogenetics Implementation Consortium and the Dutch Pharmacogenetics Working Group. Clin Pharmacol Ther. 103:599–618. doi:10.1002/cpt.762
  • Bloom DE, Cafiero ET, Jané-Llopis E, Abrahams-Gessel S, Bloom LR, Fathima S, Feigl AB, Gaziano T, Mowafi M, Pandya A, Prettner K, et al. 2011. The Global Economic Burden of Non-communicable Diseases. Geneva: World Economic Forum.
  • Border R, Johnson EC, Evans LM, Smolen A, Berley N, Sullivan PF, Keller MC. 2019. No support for historical candidate gene or candidate gene-by-interaction hypotheses for major depression across multiple large samples. Am J Psychiatry. 176:376–387. doi:10.1176/appi.ajp.2018.18070881
  • Borobia AM, Dapia I, Tong HY, Arias P, Muñoz M, Tenorio J, Hernández R, García García I, Gordo G, Ramírez E, et al. 2018. Clinical implementation of pharmacogenetic testing in a hospital of the Spanish National Health System: strategy and experience over 3 years. Clin Transl Sci. 11:189–199. doi:10.1111/cts.12526
  • Bousman CA, Dunlop BW. 2018. Genotype, phenotype, and medication recommendation agreement among commercial pharmacogenetic-based decision support tools. Pharmacogenomics J. 18:613–622. doi:10.1038/s41397-018-0027-3
  • Bousman C, Al Maruf A, Müller DJ. 2019. Towards the integration of pharmacogenetics in psychiatry: a minimum, evidence-based genetic testing panel. Curr Opin Psychiatry. 32:7–15. doi:10.1097/YCO.0000000000000465
  • Bousman CA, Arandjelovic K, Mancuso SG, Eyre HA, Dunlop BW. 2019. Pharmacogenetic tests and depressive symptom remission: a meta-analysis of randomized controlled trials. Pharmacogenomics. 20:37–47. doi:10.2217/pgs-2018-0142
  • Bzdok D, Meyer-Lindenberg A. 2018. Machine learning for precision psychiatry: opportunities and challenges. Biol Psychiatry Cogn Neurosci Neuroimaging. 3:223–230. doi:10.1016/j.bpsc.2017.11.007
  • Chekroud AM, Zotti RJ, Shehzad Z, Gueorguieva R, Johnson MK, Trivedi MH, Cannon TD, Krystal JH, Corlett PR. 2016. Cross-trial prediction of treatment outcome in depression: a machine learning approach. Lancet Psychiatry. 3:243–250. doi:10.1016/S2215-0366(15)00471-X
  • Corponi F, Fabbri C, Serretti A. 2018. Pharmacogenetics in psychiatry. Adv Pharmacol. 83:297–331. doi:10.1016/bs.apha.2018.03.003
  • Danielson BSPPB. 2002. The cytochrome P450 superfamily: biochemistry, evolution and drug metabolism in humans. Curr Drug Metab. 3:561–597. doi:10.2174/1389200023337054
  • European Medicines Agency. 2018. Committee for Medicinal Products for Human Use (CHMP) Guideline on good pharmacogenomic practice.
  • Fabbri C, Serretti A. 2019. Is pharmacogenetics useful in antidepressant treatment? Clin Pharmacol Ther. 106:916–918. doi:10.1002/cpt.1451
  • Fabbri C, Girolamo GD, Serretti A. 2013. Pharmacogenetics of antidepressant drugs: an update after almost 20 years of research. Am J Med Genet. 162:487–520. doi:10.1002/ajmg.b.32184
  • Fabbri C, Montgomery S, Lewis CM, Serretti A. 2020. Genetics and major depressive disorder. Clin Psychopharmacol Neurosci. 18:1–9. doi:10.9758/cpn.2020.18.1.1
  • Fabbri C, Montgomery S, Lewis CM, Serretti A. 2020. Genetics and major depressive disorder: clinical implications for disease risk, prognosis and treatment. Int Clin Psychopharmacol. doi:10.1097/YIC.0000000000000305
  • Fabbri C, Tansey KE, Perlis RH, Hauser J, Henigsberg N, Maier W, Mors O, Placentino A, Rietschel M, Souery D, et al. 2018. Effect of cytochrome CYP2C19 metabolizing activity on antidepressant response and side effects: meta-analysis of data from genome-wide association studies. Eur Neuropsychopharmacol. 28:945–954. doi:10.1016/j.euroneuro.2018.05.009
  • Fabbri C, Zohar J, Serretti A. 2018. Pharmacogenetic tests to guide drug treatment in depression: comparison of the available testing kits and clinical trials. Prog Neuropsychopharmacol Biol Psychiatry. 86:36–44. doi:10.1016/j.pnpbp.2018.05.007
  • Fanelli G, Benedetti F, Kasper S, Kautzky A, Zohar J, Souery D, Montgomery S, Albani D, Ferentinos P, Rujescu D, et al. 2020. Higher polygenic risk scores for schizophrenia may be suggestive of treatment non-response in major depressive disorder. medRxiv. doi:10.1101/2020.01.15.20017699
  • FDA. 2020. Pharmacogenetic tests and genetic tests for heritable markers. FDA. [Online]. [accessed 2020 Mar 11]. https://www.fda.gov/regulatory-information/search-fda-guidance-documents/pharmacogenetic-tests-and-genetic-tests-heritable-markers
  • Ferrell PB, McLeod HL. 2008. Carbamazepine, HLA-B*1502 and risk of Stevens-Johnson syndrome and toxic epidermal necrolysis: US FDA recommendations. Pharmacogenomics. 9:1543–1546. doi:10.2217/14622416.9.10.1543
  • Greden JF, Parikh SV, Rothschild AJ, Thase ME, Dunlop BW, DeBattista C, Conway CR, Forester BP, Mondimore FM, Shelton RC, et al. 2019. Impact of pharmacogenomics on clinical outcomes in major depressive disorder in the GUIDED trial: a large, patient- and rater-blinded, randomized, controlled study. J Psychiatr Res. 111:59–67. doi:10.1016/j.jpsychires.2019.01.003
  • Hicks JK, Bishop JR, Sangkuhl K, Müller DJ, Ji Y, Leckband SG, Leeder JS, Graham RL, Chiulli DL, LLerena A, et al; Clinical Pharmacogenetics Implementation Consortium. 2015. Clinical Pharmacogenetics Implementation Consortium (CPIC) guideline for CYP2D6 and CYP2C19 genotypes and dosing of selective serotonin reuptake inhibitors. Clin Pharmacol Ther. 98:127–134. doi:10.1002/cpt.147
  • Hicks JK, Sangkuhl K, Swen JJ, Ellingrod VL, Müller DJ, Shimoda K, Bishop JR, Kharasch ED, Skaar TC, Gaedigk A, et al. 2017. Clinical pharmacogenetics implementation consortium guideline (CPIC) for CYP2D6 and CYP2C19 genotypes and dosing of tricyclic antidepressants: 2016 update. Clin Pharmacol Ther. 102:37–44. doi:10.1002/cpt.597
  • Hiemke C, Bergemann N, Clement H W, Conca A, Deckert J, Domschke K, Eckermann G, Egberts K, Gerlach M, Greiner C, et al. 2018. Consensus guidelines for therapeutic drug monitoring in neuropsychopharmacology: Update 2017. Pharmacopsychiatry. 51(1-02):9–62. doi:10.1055/s-0043-116492
  • Hong EP, Park JW. 2012. Sample size and statistical power calculation in genetic association studies. Genomics Inform. 10:117–122. doi:10.5808/GI.2012.10.2.117
  • Iniesta R, Malki K, Maier W, Rietschel M, Mors O, Hauser J, Henigsberg N, Dernovsek MZ, Souery D, Stahl D, et al. 2016. Combining clinical variables to optimize prediction of antidepressant treatment outcomes. J Psychiatr Res. 78:94–102. doi:10.1016/j.jpsychires.2016.03.016
  • Iniesta R, Stahl D, McGuffin P. 2016. Machine learning, statistical learning and the future of biological research in psychiatry. Psychol Med. 46:2455–2465. doi:10.1017/S0033291716001367
  • Jakubovski E, Varigonda AL, Freemantle N, Taylor MJ, Bloch MH. 2016. Systematic review and meta-analysis: dose-response relationship of selective serotonin reuptake inhibitors in major depressive disorder. Am J Psychiatry. 173:174–183. doi:10.1176/appi.ajp.2015.15030331
  • Johnson JA, Elsey AR, Clare-Salzler MJ, Nessl D, Conlon M, Nelson DR. 2013. Institutional profile: University of Florida and Shands Hospital Personalized Medicine Program: clinical implementation of pharmacogenetics. Pharmacogenomics. 14:723–726. doi:10.2217/pgs.13.59
  • Kautzky A, Baldinger P, Souery D, Montgomery S, Mendlewicz J, Zohar J, Serretti A, Lanzenberger R, Kasper S. 2015. The combined effect of genetic polymorphisms and clinical parameters on treatment outcome in treatment-resistant depression. Eur Neuropsychopharmacol. 25:441–453. doi:10.1016/j.euroneuro.2015.01.001
  • Kennedy SH, Lam RW, McIntyre RS, Tourjman SV, Bhat V, Blier P, Hasnain M, Jollant F, Levitt AJ, MacQueen GM, et al.; CANMAT Depression Work Group. 2016. Canadian Network for Mood and Anxiety Treatments (CANMAT) 2016 clinical guidelines for the management of adults with major depressive disorder: Section 3. Pharmacological Treatments. Can J Psychiatry. 61:540–560. doi:10.1177/0706743716659417
  • Lee JA, Lee CR, Reed BN, Plitt DC, Polasek MJ, Howell LA, Cicci JD, Tasca KE, Weck KE, Rossi JS, et al. 2015. Implementation and evaluation of a CYP2C19 genotype-guided antiplatelet therapy algorithm in high-Risk coronary artery disease patients. Pharmacogenomics. 16:303–313. doi:10.2217/pgs.14.180
  • Lin E, Kuo PH, Liu YL, Yu YWY, Yang AC, Tsai SJ. 2018. A deep learning approach for predicting antidepressant response in major depression using clinical and genetic biomarkers. Front Psychiatry. 9:290. doi:10.3389/fpsyt.2018.00290
  • Linde K, Kriston L, Rücker G, Jamil S, Schumann I, Meissner K, Sigterman K, Schneider A. 2015. Efficacy and acceptability of pharmacological treatments for depressive disorders in primary care: systematic review and network meta-analysis. Ann Fam Med. 13:69–79. doi:10.1370/afm.1687
  • Maron E, Baldwin DS, Balõtšev R, Fabbri C, Gaur V, Hidalgo-Mazzei D, Hood S, Juhola M, Kampman O, Kasper S, et al. 2019. Manifesto for an international digital mental health network. Digital Psychiatry. doi:10.1080/2575517X.2019.1617575
  • Mitchell AJ, Selmes T. 2007. Why don’t patients take their medicine? Reasons and solutions in psychiatry. Adv Psychiatr Treat. 13:336–346. doi:10.1192/apt.bp.106.003194
  • Nutescu EA, Drozda K, Bress AP, Galanter WL, Stevenson J, Stamos TD, Desai AA, Duarte JD, Gordeuk V, Peace D, et al. 2013. Feasibility of implementing a comprehensive warfarin pharmacogenetics service. Pharmacotherapy. 33:1156–1164. doi:10.1002/phar.1329
  • O’Donnell PH, Bush A, Spitz J, Danahey K, Saner D, Das S, Cox NJ, Ratain MJ. 2012. The 1200 patients project: creating a new medical model system for clinical implementation of pharmacogenomics. Clin Pharmacol Ther. 92:446–449. doi:10.1038/clpt.2012.117
  • O’Dushlaine C, Ripke S, Ruderfer DM, Hamilton SP, Fava M, Iosifescu DV, Kohane IS, Churchill SE, Castro VM, Clements CC, et al. 2014. Rare copy number variation in treatment-resistant major depressive disorder. Biol Psychiatry. 76:536–541. doi:10.1016/j.biopsych.2013.10.028
  • Patel MJ, Andreescu C, Price JC, Edelman KL, Reynolds CF, Aizenstein HJ. 2015. Machine learning approaches for integrating clinical and imaging features in late-life depression classification and response prediction. Int J Geriatr Psychiatry. 30:1056–1067. doi:10.1002/gps.4262
  • Perlman K, Benrimoh D, Israel S, Rollins C, Brown E, Tunteng J-F, You R, You E, Tanguay-Sela M, Snook E, et al. 2019. A systematic meta-review of predictors of antidepressant treatment outcome in major depressive disorder. J Affect Disord. 243:503–515. doi:10.1016/j.jad.2018.09.067
  • PharmGKB. 2020. PharmGKB [Online]. [accessed 2020 Apr 13]. https://www.pharmgkb.org/
  • Porcelli S, Fabbri C, Spina E, Serretti A, De Ronchi D. 2011. Genetic polymorphisms of cytochrome P450 enzymes and antidepressant metabolism. Expert Opin Drug Metab Toxicol. 7:1101–1115. doi:10.1517/17425255.2011.597740
  • Scott SA. 2011. Personalizing medicine with clinical pharmacogenetics. Genet Med. 13:987–995. doi:10.1097/GIM.0b013e318238b38c
  • Serretti A. 2018. The present and future of precision medicine in psychiatry: focus on clinical psychopharmacology of antidepressants. Clin Psychopharmacol Neurosci. 16:1–6. doi:10.9758/cpn.2018.16.1.1
  • Sinyor M, Cheung CP, Abraha HY, Lanctôt KL, Saleem M, Liu CS, Li A, Juda A, Levitt AJ, Cheung AH, et al. 2020. Antidepressant-placebo differences for specific adverse events in major depressive disorder: a systematic review. J Affect Disord. 267:185–190. doi:10.1016/j.jad.2020.02.013
  • Souery D, Serretti A, Calati R, Oswald P, Massat I, Konstantinidis A, Linotte S, Bollen J, Demyttenaere K, Kasper S, et al. 2011. Switching antidepressant class does not improve response or remission in treatment-resistant depression. J Clin Psychopharmacol. 31:512–516. doi:10.1097/JCP.0b013e3182228619
  • Spina E, de Leon J. 2015. Clinical applications of CYP genotyping in psychiatry. J Neural Transm (Vienna). 122:5–28. doi:10.1007/s00702-014-1300-5
  • Stratou G, Morency LP. 2017. MultiSense-context-aware nonverbal behavior analysis framework: a psychological distress use case. IEEE Trans Affective Comput. 8:190–203. doi:10.1109/TAFFC.2016.2614300
  • Strom CM, Goos D, Crossley B, Zhang K, Buller-Burkle A, Jarvis M, Quan F, Peng M, Sun W. 2012. Testing for variants in CYP2C19: population frequencies and testing experience in a clinical laboratory. Genet Med. 14:95–100. doi:10.1038/gim.0b013e3182329870
  • Tansey KE, Guipponi M, Hu X, Domenici E, Lewis G, Malafosse A, Wendland JR, Lewis CM, McGuffin P, Uher R, et al. 2013. Contribution of common genetic variants to antidepressant response. Biol Psychiatry. 73:679–682. doi:10.1016/j.biopsych.2012.10.030
  • Tansey KE, Rucker JJH, Kavanagh DH, Guipponi M, Perroud N, Bondolfi G, Domenici E, Evans DM, Hauser J, Henigsberg N, et al. 2014. Copy number variants and therapeutic response to antidepressant medication in major depressive disorder. Pharmacogenomics J. 14:395–399. doi:10.1038/tpj.2013.51
  • Taylor D, Barnes TRE, Young AH. 2018. The Maudsley prescribing guidelines in psychiatry. 13th ed. Hoboken, NJ: Wiley.
  • Trivedi MH, Rush AJ, Wisniewski SR, Nierenberg AA, Warden D, Ritz L, Norquist G, Howland RH, Lebowitz B, McGrath PJ, et al.; STAR*D Study Team. 2006. Evaluation of outcomes with citalopram for depression using measurement-based care in STAR*D: implications for clinical practice. AJP. 163:28–40. doi:10.1176/appi.ajp.163.1.28
  • Uher R, Tansey KE, Henigsberg N, Wolfgang M, Mors O, Hauser J, Placentino A, Souery D, Farmer A, Aitchison KJ, et al.; GENDEP Investigators. 2013. Common genetic variation and antidepressant efficacy in major depressive disorder: A meta-analysis of three genome-wide pharmacogenetic studies. AJP. 170:207–217. doi:10.1176/appi.ajp.2012.12020237
  • Vos T, Allen C, Arora M, Barber RM, Bhutta ZA, Brown A, Carter A, Casey DC, Charlson FJ, Chen AZ, et al. 2016. Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 388:P1545–P1602.
  • Weitzel KW, Elsey AR, Langaee TY, Burkley B, Nessl DR, Obeng AO, Staley BJ, Dong H-J, Allan RW, Liu JF, et al. 2014. Clinical pharmacogenetics implementation: approaches, successes, and challenges. Am J Med Genet. 166:56–67. doi:10.1002/ajmg.c.31390
  • WHO. 2020. Regulatory bodies. [Online]. [accessed 2020 Mar 11]. https://www.who.int/genomics/policy/regulatory_bodies/en/
  • Zanardi R, Benedetti F, Bella DD, Catalano M, Smeraldi E. 2000. Efficacy of paroxetine in depression is influenced by a functional polymorphism within the promoter of the serotonin transporter gene. J Clin Psychopharmacol. 20:105–107. doi:10.1097/00004714-200002000-00021
  • Zanardi R, Serretti A, Rossini D, Franchini L, Cusin C, Lattuada E, Dotoli D, Smeraldi E. 2001. Factors affecting fluvoxamine antidepressant activity: influence of pindolol and 5-HTTLPR in delusional and nondelusional depression. Biol Psychiatry. 50:323–330. doi:10.1016/S0006-3223(01)01118-0
  • Zhou Y, Ingelman-Sundberg M, Lauschke V. 2017. Worldwide distribution of cytochrome P450 alleles: a meta-analysis of population-scale sequencing projects. Clin Pharmacol Ther. 102:688–700. doi:10.1002/cpt.690

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