Skip to main content

Advertisement

Log in

Pharmacogenomics: an Update for Child and Adolescent Psychiatry

  • Child and Adolescent Disorders (TD Benton, Section Editor)
  • Published:
Current Psychiatry Reports Aims and scope Submit manuscript

Abstract

Purpose of Review

This paper aims to acquaint child and adolescent psychiatrists with the field of pharmacogenomics (PGX) and review the most up-to-date evidence-based practices to guide the application of this field in clinical care.

Recent Findings

Despite much research being done in this area, the field of PGX continues to yield controversial findings. In the adult world, studies have focused on the impact of combinatorial gene panels that guide medication selection by providing reports that estimate the impact of multiple pharmacodynamic and pharmacokinetic genes, but to date, these have not been directly examined in younger patient populations. Pharmacokinetic genes, CYP2D6 and CYP2C19, and hypersensitivity genes, HLA-A and HLA-B, have the strongest evidence base for application to pharmacotherapy in children.

Summary

Although the field is evolving, and the evidence is mixed, there may be a role for PGX testing in children to help guide dosing and monitoring strategies. However, evidence-based medicine, rather than PGX testing, continues to play the lead role in guiding medication selection in pediatric psychopharmacology.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Figure 1

Similar content being viewed by others

Abbreviations

5-HTT:

Serotonin Transporter

CGI:

Clinical Global Impressions Scale

COMT:

Catecholamine-O-methyltransferase

CPIC:

Clinical Pharmacogenetics Implementation Consortium

CYP:

Cytochrome P450

DPWG:

Dutch Pharmacogenetics Working Group

GENDEP:

Genome-Based Therapeutic Drugs for Depression

GWAS:

Genome Wide Association Study

HAM-D:

Hamilton Depression Rating Scale

HLA:

Human Leukocyte Antigen

HTR2A:

Serotonin receptor 2A

ISPG:

International Society for Psychiatric Genetics

MARS:

Munich Antidepressant Response Signature

PD:

Pharmacodynamic(s)

PGI-I:

Patient Global Impression of Improvement Scale

PGX:

Pharmacogenomic(s)

PK:

Pharmacokinetic(s)

SERT:

Another name for the Serotonin Transporter

SNP:

Single Nucleotide Polymorphism

STAR*D:

Sequenced Treatment Alternatives to Relieve Depression

References

Papers of particular interest, published recently, have been highlighted as: • Of importance

  1. Collins FS, McKusick VA. Implications of the human genome project for medical science. J Am Med Assoc. 2001. https://doi.org/10.1001/jama.285.5.540.

  2. Phillips KA, Veenstra DL, Oren E, Lee JK, Sadee W. Potential role of pharmacogenomics a systematic review. JAMA J Am Med Assoc. 2001;286:2270–9.

    Article  CAS  Google Scholar 

  3. Nemeroff C (2019) Pharmacogenomic tests in psychiatry: not ready for prime time. Psychiatr News 54:appi.Pn.2019.5b12.

  4. Zeier Z, Carpenter LL, Kalin NH, Rodriguez CI, McDonald WM, Widge AS, et al. Clinical implementation of pharmacogenetic decision support tools for antidepressant drug prescribing. Am J Psychiatry. 2018;175:873–86.

    Article  Google Scholar 

  5. Singh AB, Bousman CA. Antidepressant pharmacogenetics. Am J Psychiatry. 2017;174:417–8.

    Article  Google Scholar 

  6. Tansey KE, Guipponi M, Hu X, Domenici E, Lewis G, Malafosse A, et al. Contribution of common genetic variants to antidepressant response. Biol Psychiatry. 2013;73:679–82.

    Article  CAS  Google Scholar 

  7. Caudle KE, Sangkuhl K, Whirl-Carrillo M, et al. Standardizing CYP2D6 genotype to phenotype translation: consensus recommendations from the clinical pharmacogenetics implementation consortium and Dutch pharmacogenetics working group. Clin Transl Sci. 2020;13:116–24.

  8. Caudle KE, Dunnenberger HM, Freimuth RR, et al. Standardizing terms for clinical pharmacogenetic test results: consensus terms from the Clinical Pharmacogenetics Implementation Consortium (CPIC). Genet Med. 2017;19:215–23.

    Article  Google Scholar 

  9. Gaedigk A, Sangkuhl K, Whirl-Carrillo M, Klein T, Steven Leeder J. Prediction of CYP2D6 phenotype from genotype across world populations. Genet Med. 2017;19:69–76.

    Article  Google Scholar 

  10. Ramsey LB, Brown JT, Vear SI, Bishop JR, Van Driest SL. Gene-based dose optimization in children. Annu Rev Pharmacol Toxicol. 2019;60:1–21.

    Google Scholar 

  11. Porcelli S, Fabbri C, Serretti A. Meta-analysis of serotonin transporter gene promoter polymorphism (5-HTTLPR) association with antidepressant efficacy. Eur Neuropsychopharmacol. 2012;22:239–58.

    Article  CAS  Google Scholar 

  12. Huezo-Diaz P, Uher R, Smith R, et al. Moderation of antidepressant response by the serotonin transporter gene. Br J Psychiatry. 2009. https://doi.org/10.1192/bjp.bp.108.062521.

  13. Kronenberg S, Apter A, Brent D, Schirman S, Melhem N, Pick N, et al. Serotonin transporter polymorphism (5-HTTLPR) and citalopram effectiveness and side effects in children with depression and/or anxiety disorders. J Child Adolesc Psychopharmacol. 2007. https://doi.org/10.1089/cap.2006.0144.

  14. • Poweleit EA, Aldrich SL, Martin LJ, Hahn D, Strawn JR, Ramsey LB. Pharmacogenetics of sertraline tolerability and response in pediatric anxiety and depressive disorders. J Child Adolesc Psychopharmacol. 2019;29:348–61 A retrospective analysis of pediatric patients treated with sertraline that found association between CYP2C19, HTR2A, and SLC6A4 gene variability and sertraline tolerability and efficacy.

    Article  CAS  Google Scholar 

  15. Kirchheiner J, Nickchen K, Bauer M, Wong ML, Licinio J, Roots I, et al. Pharmacogenetics of antidepressants and antipsychotics: the contribution of allelic variations to the phenotype of drug response. Mol Psychiatry. 2004;9:442–73.

    Article  CAS  Google Scholar 

  16. Mattay VS, Goldberg TE, Fera F, Hariri AR, Tessitore A, Egan MF, et al. Catechol O-methyltransferase val158-met genotype and individual variation in the brain response to amphetamine. Proc Natl Acad Sci U S A. 2003;100:6186–91.

    Article  CAS  Google Scholar 

  17. Shield AJ, Thomae BA, Eckloff BW, Wieben ED, Weinshilboum RM. Human catechol O-methyltransferase genetic variation: gene resequencing and functional characterization of variant allozymes. Mol Psychiatry. 2004;9:151–60.

    Article  CAS  Google Scholar 

  18. Cheon KA, Jun JY, Cho DY. Association of the catechol-O-methyltransferase polymorphism with methylphenidate response in a classroom setting in children with attention-deficit hyperactivity disorder. Int Clin Psychopharmacol. 2008;23:291–8.

    Article  Google Scholar 

  19. Kereszturi E, Tarnok Z, Bognar E, Lakatos K, Farkas L, Gadoros J, et al. Catechol-O-methyltransferase Val158Met polymorphism is associated with methylphenidate response in ADHD children. Am J Med Genet Part B Neuropsychiatr Genet. 2008;147:1431–5.

    Article  CAS  Google Scholar 

  20. Brückl TM, Uhr M. ABCB1 genotyping in the treatment of depression. Pharmacogenomics. 2016. https://doi.org/10.2217/pgs.16.18.

  21. Ferrell PB, McLeod HL. Carbamazepine, HLA-B*1502 and risk of Stevens-Johnson syndrome and toxic epidermal necrolysis: US FDA recommendations. Pharmacogenomics. 2008. https://doi.org/10.2217/14622416.9.10.1543.

  22. • Amstutz U, Ross CJD, Castro-Pastrana LI, Rieder MJ, Shear NH, Hayden MR, et al. HLA-A*31:01 and HLA-B*15:02 as genetic markers for carbamazepine hypersensitivity in children. Clin Pharmacol Ther. 2013. https://doi.org/10.1038/clpt.2013.55This is the first study to demonstrate assoication of HLA-A*31:01 polymorphism with carbamazepine hypersensitivity including Stevens-Johsnon syndrome and drug-incudced hypersensititivity syndrome in children.

  23. Gaedigk A. Complexities of CYP2D6 gene analysis and interpretation. Int Rev Psychiatry. 2013;25:534–53.

    Article  Google Scholar 

  24. Ruaño G, Kocherla M, Graydon JS, Holford TR, Makowski GS, Goethe JW. Practical interpretation of CYP2D6 haplotypes: comparison and integration of automated and expert calling. Clin Chim Acta. 2016;456:7–14.

    Article  CAS  Google Scholar 

  25. Odgerel Z, Talati A, Hamilton SP, Levinson DF, Weissman MM. Genotyping serotonin transporter polymorphisms 5-HTTLPR and rs25531 in European- and African-American subjects from the National Institute of Mental Health’s collaborative Center for Genomic Studies. Transl Psychiatry. 2013;3:e307–6.

    Article  CAS  Google Scholar 

  26. Bousman CA, Dunlop BW. Genotype, phenotype, and medication recommendation agreement among commercial pharmacogenetic-based decision support tools. Pharmacogenomics J. 2018;18:613–22.

    Article  CAS  Google Scholar 

  27. Uher R, Tansey KE, Rietschel M, et al. Common genetic variation and antidepressant efficacy in major depressive disorder: a meta-analysis of three genome-wide pharmacogenetic studies. Am J Psychiatry. 2013;170:207–17.

    Article  Google Scholar 

  28. • Bousman CA, Arandjelovic K, Mancuso SG, Eyre HA, Dunlop BW. Pharmacogenetic tests and depressive symptom remission: a meta-analysis of randomized controlled trials. Pharmacogenomics. 2019;20:37–47 A meta-analysis of prospective, randomized controlled trials that examined use of combinatorial gene test results in tratment of MDD which found that use of PGX guided decision support tools is associated with greater likelihood of symptom remission than treatment as usual.

    Article  CAS  Google Scholar 

  29. Zubenko GS, Sommer BR, Cohen BM. On the marketing and use of pharmacogenetic tests for psychiatric treatment. JAMA Psychiatry. 2018;75:769–70.

    Article  Google Scholar 

  30. • Pérez V, Salavert A, Espadaler J, et al. Efficacy of prospective pharmacogenetic testing in the treatment of major depressive disorder: results of a randomized, double-blind clinical trial. BMC Psychiatry. 2017;17:1–13 Double-blinded, randomized controlled trial of adults with MDD found that although there was no difference in sustained drug response, those in the PGX guided group had a greater responder rate especially if they had failed more than one drug trial.

    Article  CAS  Google Scholar 

  31. • Greden JF, Parikh SV, Rothschild AJ, et al. 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. 2019;111:59–67 A blinded, randomized controlled trial of adults with MDD who had failed at least one medication trial with an antidepressant which found through secondary analyses that response and remission were greater in the PGX-guided groups.

    Article  Google Scholar 

  32. • Rosenblat JD, Lee Y, Mcintyre RS. The effect of pharmacogenomic testing on response and remission rates in the acute treatment of major depressive disorder: a meta-analysis. J Affect Disord. 2018. https://doi.org/10.1016/j.jad.2018.08.056A meta-analysis of two randomized controlled trials and two open label cohort studies comparing use of PGX guided and unguided treatment that found combined response and remission likelihood in these four studies to significantly support PGX guided treatment.

  33. Michelson D, Read HA, Ruff DD, Witcher J, Zhang S, McCracken J. CYP2D6 and clinical response to atomoxetine in children and adolescents with ADHD. J Am Acad Child Adolesc Psychiatry. 2007;46:242–51.

    Article  Google Scholar 

  34. Brown JT, Abdel-Rahman SM, Van Haandel L, Gaedigk A, Lin YS, Leeder JS, et al. Single dose, CYP2D6 genotype-stratified pharmacokinetic study of Atomoxetine in children with ADHD. Clin Pharmacol Ther. 2016;99:642–50.

    Article  CAS  Google Scholar 

  35. • Aldrich SL, Poweleit EA, Prows CA, Martin LJ, Strawn JR, Ramsey LB. Influence of CYP2C19 metabolizer status on escitalopram/citalopram tolerability and response in youth with anxiety and depressive disorders. Front Pharmacol. 2019;10:1–12 A retrospective analysis in pediatric patients on escitalopram or citalopram who had undergone routine PGX testing which found that slower CYP2C19 metabolizers had more side effects and were more likely to discontinue treatment and faster metabolizers responded more likely.

    Article  CAS  Google Scholar 

  36. Bishop JR. Pharmacogenetics. Handb Clin Neurol. 2018;147:59–73.

    Article  Google Scholar 

  37. Relling MV, Klein TE, Gammal RS, Whirl-Carrillo M, Hoffman JM, Caudle KE. The clinical Pharmacogenetics implementation consortium: 10 years later. Clin Pharmacol Ther. 2019. https://doi.org/10.1002/cpt.1651.

  38. Hicks JK, Sangkuhl K, Swen JJ, et al (2016) Clinical Pharmacogenetics Implementation Consortium guideline (CPIC®) for CYP2D6 and CYP2C19 genotypes and dosing of tricyclic antidepressants: 2016 update.

  39. Hicks JK, Bishop JR, Sangkuhl K, 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.

    Article  CAS  Google Scholar 

  40. Phillips EJ, Sukasem C, Whirl-Carrillo M, et al Clinical Pharmacogenetics Implementation Consortium Guideline for HLA Genotype and Use of Carbamazepine and Oxcarbazepine: 2017 Update. https://doi.org/10.1002/cpt.1004.

  41. Caudle K, Rettie A, Whirl-Carrillo M, Smith L, Mintzer S, Lee M, Klein T, Callaghan J (2014) Clinical Pharmacogenetics Implementation Consortium Guidelines for CYP2C9 and HLA-B genotypes and phenytoin dosing. https://doi.org/10.1038/clpt.2014.159.

  42. Brown JT, Bishop JR, Sangkuhl K, et al (2019) Clinical Pharmacogenetics Implementation Consortium Guideline for cytochrome P450 (CYP)2D6 genotype and atomoxetine Therapy 1.

  43. Swen J, Wilting I, de Goede A, et al. Pharmacogenetics: from bench to byte. Clin Pharmacol Ther. 2008;83:781–7.

    Article  CAS  Google Scholar 

  44. Bank PCD, Caudle KE, Swen JJ, Gammal RS, Whirl-Carrillo M, Klein TE, Relling MV, Guchelaar H-J A comparison of the guidelines of the Clinical Pharmacogenetics Implementation Consortium and the Dutch Pharmacogenetics Working Group https://doi.org/10.1002/cpt.762.

  45. Genetic Testing Statement | ISPG - International Society of Psychiatric Genetics. https://ispg.net/genetic-testing-statement/. Accessed 19 Nov 2019.

  46. Atkinson S, Lubaczewski S, Ramaker S, England RD, Wajsbrot DB, Abbas R, et al. Desvenlafaxine versus placebo in the treatment of children and adolescents with major depressive disorder. J Child Adolesc Psychopharmacol. 2018;28:55–65.

    Article  CAS  Google Scholar 

  47. Namerow LB, Walker SA, Stevens M, Kesten K, Graydon JS, Ruano G. 2.24 utilization of Cyp450 genotyping in the treatment of adolescent mood disorders: a look at the impact within an outpatient setting. J Am Acad Child Adolesc Psychiatry. 2018;57:S166.

    Article  Google Scholar 

Download references

Funding

Gualberto Ruaño reports support from Genomas Inc., outside the submitted work. In addition, Dr. Ruano has Patent No. US 9,558,320 B2 Physiogenomic Method for Predicting Drug Metabolism Reserve for Antidepressants and Stimulants issued.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lisa B. Namerow.

Ethics declarations

Conflict of Interest

Sophia A. Walker, Mirela Loftus, and Salma Malik each declare no potential conflicts of interest.

Lisa B. Namerow received a grant from Hartford Hospital to support a research coordinator for her research project conducted and cited in this paper.

Jeffrey R. Bishop is a member of the Clinical Pharmacogenetics Implementation Consortium and is a consultant to OptumRx.

Human and Animal Rights and Informed Consent

This article does not contain any studies with human or animal subjects performed by any of the authors.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This article is part of the Topical Collection on Child and Adolescent Disorders

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Namerow, L.B., Walker, S.A., Loftus, M. et al. Pharmacogenomics: an Update for Child and Adolescent Psychiatry. Curr Psychiatry Rep 22, 26 (2020). https://doi.org/10.1007/s11920-020-01145-4

Download citation

  • Published:

  • DOI: https://doi.org/10.1007/s11920-020-01145-4

Keywords

Navigation