Literature DB >> 35975635

Pharmacogenomics: an opportunity for personalised psychotropic prescribing in adults with intellectual disabilities.

Bhathika Perera1, Charles Steward2, Ken Courtenay1, Timothy Andrews3, Rohit Shankar4.   

Abstract

There is growing evidence for the use of pharmacogenomics in psychotropic prescribing. People with intellectual disabilities are disproportionately prescribed psychotropics and are at risk of polypharmacy. There is an urgent need for safeguards to prevent psychotropic overprescribing but it is equally crucial that this population is not left behind in such exciting initiatives. Understanding how genetic variations affect medications is a step towards personalised medicine. This may improve personalised prescribing for people with intellectual disabilities, especially given the high rate of psychiatric and behavioural problems in this population. Our editorial explores opportunities and challenges that pharmacogenomics offers for the challenges of polypharmacy and overprescribing of psychotropics in people with intellectual disabilities.

Entities:  

Keywords:  Intellectual disabilities; discrimination; genetics; polypharmacy; psychotropics

Year:  2022        PMID: 35975635      PMCID: PMC9438475          DOI: 10.1192/bjo.2022.554

Source DB:  PubMed          Journal:  BJPsych Open        ISSN: 2056-4724


The Human Genome Project and derivative studies such as the UK 100 000 Genomes Project are providing researchers and clinicians with unprecedented insights into how advances in human genomics can lead to improved diagnosis and pharmacological interventions.[1] This has led to the use of terms such as precision medicine or personalised medicine, which describe how recent advances in genomic medicine can help to improve effectiveness of drug therapy affected by individual genetic variants. Thus, advances in genomic medicine, supported by rigorous research methodologies, are leading to new discoveries on how pharmacological treatments can be used to treat diseases and modify disease trajectory.

Pharmacogenomics and psychotropic medications

Psychotropic medications are widely used to treat various mental illnesses. Despite the strong evidence base for their effectiveness, they are often associated with multiple side-effects, rare life-threatening adverse events, drug interactions and variable treatment response from one individual to another. Understanding of the genetic influences on receptor activity, along with the pharmacokinetics and pharmacodynamics of psychotropic medications, has improved markedly over recent decades. Improved understanding of how metabolic pathways such as cytochrome P450 affect the metabolism of psychotropic medications and of the genes that encode them has led to a deeper understanding of the action of medications. Single nucleotide polymorphism (SNP) studies have enabled patient stratification as poor metabolisers, intermediate metabolisers, normal metabolisers, rapid metabolisers and ultra-rapid metabolisers.[2] This is deemed important as poor metabolisers are considered to be at increased risk of developing toxicity, whereas ultra-rapid metabolisers may not achieve a therapeutic dose. Understanding of biotransformation enzyme variants has also added to the expanding knowledge, providing insight into how enzyme variants can expedite the metabolism of specific antidepressants and how ethnicity should be considered when prescribing.[3]

Intellectual disabilities, mental health problems and psychotropics

Intellectual disabilities are a group of conditions that affect higher-order intellectual functioning beginning in childhood and leading to functional impairment. People with intellectual disabilities are at increased risk of comorbid psychiatric, neuropsychiatric and other neurodevelopmental disorders (Table 1). These may lead to complex behavioural and emotional clinical presentations that require challenging treatment decisions combining pharmacological and non-pharmacological strategies. Although there are higher levels of severe mental illness in populations with intellectual disabilities, psychotropic prescribing far exceeds the prevalence rates of mental illnesses for which such medication is indicated. This calls for better understanding of the prescribing of psychotropic medications, especially given the longer-term use in people with intellectual disabilities.
Table 1

Psychiatric, neurodevelopmental and neuropsychiatric comorbidity and their prevalence in people with intellectual disabilities

Comorbid disorderPrevalenceReference
Severe mental illness10 times the general population levelCooper SA et al. Multiple physical and mental health comorbidity in adults with intellectual disabilities: population-based cross-sectional analysis. BMC Fam Pract 2015; 16: 110.Perera B et al. Mental and physical health conditions in people with intellectual disabilities: comparing local and national data. Br J Learn Disabil 2020; 48: 19–27.
Any mental health conditionOdds ratio 7.1 (95% CI 6.8–7.3)Hughes-McCormack LA et al. Prevalence of mental health conditions and relationship with general health in a whole-country population of people with intellectual disabilities compared with the general population. BJPsych Open 2017; 3: 243–8.
Psychosis2.6% (95% CI 1.8–3.8) to 4.4% (95% CI 3.2–5.8) depending on criteria usedCooper SA et al. Psychosis and adults with intellectual disabilities: prevalence, incidence, and related factors. Soc Psychiatry Psychiatr Epidemiol 2007; 42, 530–6.
Depression17.0% (95% CI 16.8–17.2)Branford D et al. Antidepressant prescribing for adult people with an intellectual disability living in England. Br J Psychiatry 2022; 221: 488–93.
Anxiety3.8% (95% CI 2.7–5.2)Reid KA et al. Prevalence and associations of anxiety disorders in adults with intellectual disabilities. J Intellect Disabil Res 2011; 55: 172–81.
Attention-deficit hyperactivity disorder19.6%La Malfa G et al. Detecting attention-deficit/hyperactivity disorder (ADHD) in adults with intellectual disability: the use of Conners’ Adult ADHD Rating Scales (CAARS). Res Dev Disabil 2008; 29: 158–64.
Autism spectrum disorder20–30% comorbidityEmerson E et al. The Estimated Prevalence of Autism among Adults with Learning Disabilities in England. Improving Health and Lives Learning Disabilities Observatory, 2010.
Epilepsy22.5%Robertson J et al. Prevalence of epilepsy among people with intellectual disabilities: a systematic review. Seizure, 2015; 29: 46–62.Shankar R et al. Epilepsy, an orphan disorder within the neurodevelopmental family. J Neurol Neurosurg Psychiatry 2020; 91: 1245–7.
Psychiatric, neurodevelopmental and neuropsychiatric comorbidity and their prevalence in people with intellectual disabilities

Clinical validity

Pharmacogenomics is used in many ways. There is growing interest in evaluating a physician's ability to predict a person's response to drug therapy using DNA sequencing that could potentially aid in choosing the best pharmacological agents and doses in a more informed fashion for the person. Psychiatric genetics in general has generated some promising results on genetic variations associated with major psychiatric disorders and treatment outcomes. Despite these successes, psychiatry still lags behind other fields of medicine in translating existing knowledge into diagnostic genetic tests that could facilitate the early diagnosis and accurate classification of disorders.[4] The validity of pharmacogenomic testing and its clinical utility in people with intellectual disabilities and mental disorders is also still at an early stage of development.

Can pharmacogenomics help people with intellectual disabilities and mental disorders?

There is an ongoing debate on whether pharmacogenomic testing has the potential to make a difference in clinical practice. The Clinical Pharmacogenetics Implementation Consortium (CPIC) has US Food and Drug Administration (FDA) approved guidelines advising clinicians to consider genetic testing to ascertain metabolism profile for specific psychotropic medications. The 100,000 Genomes Project pilot investigators suggest that if similar measures were implemented in the UK, a person's diagnosis and treatment odyssey would be reduced from years to months.[1] The authors believe integrating multiple data-sets such as the UK Clinical Practice Research Datalink (CPRD) (https://www.cprd.com) and the UK Biobank would allow researchers to correlate real-time prescribing practices with a person's genotype.

What are the barriers to implementing pharmacogenomics in clinical practice for people with intellectual disabilities?

Evidence on the use of pharmacogenomic testing in people with intellectual disabilities is limited.[5] There is a lack of evidence on whether pharmacogenomic knowledge will translate into tangible clinical differences in prescribing.[6] There is also limited evidence on the modelling of benefits and costs associated with pharmacogenomics testing. As a result, pharmacogenomics is not included in treatment guidelines. Other challenges include the mental capacity of the individual to make an informed decision on the use of genetic testing. Furthermore, public perception of pharmacogenetic testing has not been tested yet.

Whole exome sequencing (WES) and whole genome sequencing (WGS)

In recent years, the cost associated with pharmacogenomic testing has decreased greatly. Many pharmacogenomic samples can be collected using a minimally invasive buccal swab and processed within 7 days, allowing for real-time medication adjustments. However, such testing has typically been carried out by targeted methods such as quantitative polymerase chain reaction (qPCR) or SNP array and independently of both WES and WGS tests. WES is currently the most important method of genomic investigation used to identify causal genetic variants for the diagnosis of Mendelian disorders, as it is fast and relatively inexpensive. However, it only investigates the roughly 1–2% of the genome that is translated into protein. Significant progress in the ability to resolve the function of the complete human genome can be expected from several lines of technological development. WGS is being increasingly implemented as the assay of choice for both gene discovery and diagnostic testing. Advantages of WGS include its comprehensiveness, ability to analyse both coding and non-coding sequences that are increasingly understood to have an important role in gene regulation and expression, and promising greater diagnostic yield.[7] WGS also allows future reanalysis of patients with a negative genomic diagnosis as regions of the genome that were previously unresolved are revealed.[8] Furthermore, the use of whole transcriptome sequencing will facilitate the identification of genes that are expressed irregularly, which could be an indicator of disease. Accordingly, the ability to combine pharmacogenomics with diagnostics through the same WES and WGS test will ultimately lead to much better and individualised patient care, as well as saving crucial time and money.[9]

Ethical issues

As Lázaro-Muñoz & Lenk pointed out, psychiatric and neurodevelopmental disorders were some of the phenotypes targeted by the eugenics movement.[10] Therefore, there is some trepidation among targeted communities on how genetic samples collected may be used in the future. As a result, one of the largest genetic studies, the Spectrum 10 K autism project, has had to be paused for further consultation.[11] The distinction between genetic testing and pharmacogenomics, where the focus of the latter is on drug response determined by a person's genetics, needs to be made clear from the beginning. It is important to be clear about the wider concerns related to the eugenics movement, so necessary safeguarding is in place when conducting research studies. In setting up and designing genomic research in people with intellectual disabilities, co-production at all phases of projects with experts by experience along with rigorous patient and public involvement are essential to tackle these ethical issues.[12]

Conclusions

Despite very limited data on effectiveness of pharmacogenomics in people with intellectual disabilities, the increasing evidence base and focus on pharmacogenomics in general suggests that the future looks promising.[13] In due course it is likely to add another layer of safety in the prescribing of psychotropic medications for this population. This may take a precedence as people with intellectual disabilities are more likely to be on psychotropic medications over the long term compared with their peers without intellectual disabilities. A wider discussion involving all stakeholders, including patients and carers, on the use of pharmacogenetic testing and evaluation of its effectiveness in making tangible differences to prescribing practices are important steps forward. This, along with careful consideration of most the appropriate medication in addition to other factors considered in day-to-day prescribing, may reduce the risk of side-effects, which people with intellectual disabilities often find hard to communicate. This may be another step towards personalisation of medicine for people with intellectual disabilities.
  11 in total

Review 1.  Pharmacogenetics.

Authors:  Jeffrey R Bishop
Journal:  Handb Clin Neurol       Date:  2018

2.  Exome sequencing allows detection of relevant pharmacogenetic variants in epileptic patients.

Authors:  Simon Verdez; Quentin Thomas; Philippine Garret; Céline Verstuyft; Emilie Tisserant; Antonio Vitobello; Frédéric Tran Mau-Them; Christophe Philippe; Marc Bardou; Maxime Luu; Abderrahmane Bourredjem; Patrick Callier; Christel Thauvin-Robinet; Nicolas Picard; Laurence Faivre; Yannis Duffourd
Journal:  Pharmacogenomics J       Date:  2022-05-19       Impact factor: 3.550

Review 3.  Pharmacogenomics: an Update for Child and Adolescent Psychiatry.

Authors:  Lisa B Namerow; Sophia A Walker; Mirela Loftus; Jeffrey R Bishop; Gualberto Ruaño; Salma Malik
Journal:  Curr Psychiatry Rep       Date:  2020-05-06       Impact factor: 5.285

4.  The complete sequence of a human genome.

Authors:  Sergey Nurk; Sergey Koren; Arang Rhie; Mikko Rautiainen; Andrey V Bzikadze; Alla Mikheenko; Mitchell R Vollger; Nicolas Altemose; Lev Uralsky; Ariel Gershman; Sergey Aganezov; Savannah J Hoyt; Mark Diekhans; Glennis A Logsdon; Michael Alonge; Stylianos E Antonarakis; Matthew Borchers; Gerard G Bouffard; Shelise Y Brooks; Gina V Caldas; Nae-Chyun Chen; Haoyu Cheng; Chen-Shan Chin; William Chow; Leonardo G de Lima; Philip C Dishuck; Richard Durbin; Tatiana Dvorkina; Ian T Fiddes; Giulio Formenti; Robert S Fulton; Arkarachai Fungtammasan; Erik Garrison; Patrick G S Grady; Tina A Graves-Lindsay; Ira M Hall; Nancy F Hansen; Gabrielle A Hartley; Marina Haukness; Kerstin Howe; Michael W Hunkapiller; Chirag Jain; Miten Jain; Erich D Jarvis; Peter Kerpedjiev; Melanie Kirsche; Mikhail Kolmogorov; Jonas Korlach; Milinn Kremitzki; Heng Li; Valerie V Maduro; Tobias Marschall; Ann M McCartney; Jennifer McDaniel; Danny E Miller; James C Mullikin; Eugene W Myers; Nathan D Olson; Benedict Paten; Paul Peluso; Pavel A Pevzner; David Porubsky; Tamara Potapova; Evgeny I Rogaev; Jeffrey A Rosenfeld; Steven L Salzberg; Valerie A Schneider; Fritz J Sedlazeck; Kishwar Shafin; Colin J Shew; Alaina Shumate; Ying Sims; Arian F A Smit; Daniela C Soto; Ivan Sović; Jessica M Storer; Aaron Streets; Beth A Sullivan; Françoise Thibaud-Nissen; James Torrance; Justin Wagner; Brian P Walenz; Aaron Wenger; Jonathan M D Wood; Chunlin Xiao; Stephanie M Yan; Alice C Young; Samantha Zarate; Urvashi Surti; Rajiv C McCoy; Megan Y Dennis; Ivan A Alexandrov; Jennifer L Gerton; Rachel J O'Neill; Winston Timp; Justin M Zook; Michael C Schatz; Evan E Eichler; Karen H Miga; Adam M Phillippy
Journal:  Science       Date:  2022-03-31       Impact factor: 63.714

5.  Pharmacogenomic Studies in Intellectual Disabilities and Autism Spectrum Disorder: A Systematic Review.

Authors:  Kazunari Yoshida; Emiko Koyama; Clement C Zai; Joseph H Beitchman; James L Kennedy; Yona Lunsky; Pushpal Desarkar; Daniel J Müller
Journal:  Can J Psychiatry       Date:  2020-11-23       Impact factor: 5.321

Review 6.  The role of genetics and genomics in clinical psychiatry.

Authors:  Margret R Hoehe; Deborah J Morris-Rosendahl
Journal:  Dialogues Clin Neurosci       Date:  2018-09       Impact factor: 5.986

7.  100,000 Genomes Pilot on Rare-Disease Diagnosis in Health Care - Preliminary Report.

Authors:  Damian Smedley; Katherine R Smith; Antonio Martin; Ellen A Thomas; Ellen M McDonagh; Valentina Cipriani; Jamie M Ellingford; Gavin Arno; Arianna Tucci; Jana Vandrovcova; Georgia Chan; Hywel J Williams; Thiloka Ratnaike; Wei Wei; Kathleen Stirrups; Kristina Ibanez; Loukas Moutsianas; Matthias Wielscher; Anna Need; Michael R Barnes; Letizia Vestito; James Buchanan; Sarah Wordsworth; Sofie Ashford; Karola Rehmström; Emily Li; Gavin Fuller; Philip Twiss; Olivera Spasic-Boskovic; Sally Halsall; R Andres Floto; Kenneth Poole; Annette Wagner; Sarju G Mehta; Mark Gurnell; Nigel Burrows; Roger James; Christopher Penkett; Eleanor Dewhurst; Stefan Gräf; Rutendo Mapeta; Mary Kasanicki; Andrea Haworth; Helen Savage; Melanie Babcock; Martin G Reese; Mark Bale; Emma Baple; Christopher Boustred; Helen Brittain; Anna de Burca; Marta Bleda; Andrew Devereau; Dina Halai; Eik Haraldsdottir; Zerin Hyder; Dalia Kasperaviciute; Christine Patch; Dimitris Polychronopoulos; Angela Matchan; Razvan Sultana; Mina Ryten; Ana L T Tavares; Carolyn Tregidgo; Clare Turnbull; Matthew Welland; Suzanne Wood; Catherine Snow; Eleanor Williams; Sarah Leigh; Rebecca E Foulger; Louise C Daugherty; Olivia Niblock; Ivone U S Leong; Caroline F Wright; Jim Davies; Charles Crichton; James Welch; Kerrie Woods; Lara Abulhoul; Paul Aurora; Detlef Bockenhauer; Alexander Broomfield; Maureen A Cleary; Tanya Lam; Mehul Dattani; Emma Footitt; Vijeya Ganesan; Stephanie Grunewald; Sandrine Compeyrot-Lacassagne; Francesco Muntoni; Clarissa Pilkington; Rosaline Quinlivan; Nikhil Thapar; Colin Wallis; Lucy R Wedderburn; Austen Worth; Teofila Bueser; Cecilia Compton; Charu Deshpande; Hiva Fassihi; Eshika Haque; Louise Izatt; Dragana Josifova; Shehla Mohammed; Leema Robert; Sarah Rose; Deborah Ruddy; Robert Sarkany; Genevieve Say; Adam C Shaw; Agata Wolejko; Bishoy Habib; Gavin Burns; Sarah Hunter; Russell J Grocock; Sean J Humphray; Peter N Robinson; Melissa Haendel; Michael A Simpson; Siddharth Banka; Jill Clayton-Smith; Sofia Douzgou; Georgina Hall; Huw B Thomas; Raymond T O'Keefe; Michel Michaelides; Anthony T Moore; Sam Malka; Nikolas Pontikos; Andrew C Browning; Volker Straub; Gráinne S Gorman; Rita Horvath; Richard Quinton; Andrew M Schaefer; Patrick Yu-Wai-Man; Doug M Turnbull; Robert McFarland; Robert W Taylor; Emer O'Connor; Janice Yip; Katrina Newland; Huw R Morris; James Polke; Nicholas W Wood; Carolyn Campbell; Carme Camps; Kate Gibson; Nils Koelling; Tracy Lester; Andrea H Németh; Claire Palles; Smita Patel; Noemi B A Roy; Arjune Sen; John Taylor; Pilar Cacheiro; Julius O Jacobsen; Eleanor G Seaby; Val Davison; Lyn Chitty; Angela Douglas; Kikkeri Naresh; Dom McMullan; Sian Ellard; I Karen Temple; Andrew D Mumford; Gill Wilson; Phil Beales; Maria Bitner-Glindzicz; Graeme Black; John R Bradley; Paul Brennan; John Burn; Patrick F Chinnery; Perry Elliott; Frances Flinter; Henry Houlden; Melita Irving; William Newman; Shamima Rahman; John A Sayer; Jenny C Taylor; Andrew R Webster; Andrew O M Wilkie; Willem H Ouwehand; F Lucy Raymond; John Chisholm; Sue Hill; David Bentley; Richard H Scott; Tom Fowler; Augusto Rendon; Mark Caulfield
Journal:  N Engl J Med       Date:  2021-11-11       Impact factor: 176.079

Review 8.  Ethical issues in genomics research on neurodevelopmental disorders: a critical interpretive review.

Authors:  S Mezinska; L Gallagher; M Verbrugge; E M Bunnik
Journal:  Hum Genomics       Date:  2021-03-12       Impact factor: 4.639

9.  Pharmacogenomic testing: aiding in the management of psychotropic therapy for adolescents with autism spectrum disorders.

Authors:  Seuli Bose-Brill; Jinming Xing; Debra J Barnette; Christopher Hanks
Journal:  Pharmgenomics Pers Med       Date:  2017-09-25

10.  The implementation of pharmacogenomics into UK general practice: a qualitative study exploring barriers, challenges and opportunities.

Authors:  I Rafi; I Crinson; M Dawes; D Rafi; M Pirmohamed; F M Walter
Journal:  J Community Genet       Date:  2020-05-28
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