Neuroimaging in psychiatric pharmacogenetics research: The promise and pitfalls (original) (raw)
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F1000 - Post-publication peer review of the biomedical literature, 2013
The integration of research on neuroimaging and pharmacogenetics holds promise for improving treatment for neuropsychiatric conditions. Neuroimaging may provide a more sensitive early measure of treatment response in genetically defined patient groups, and could facilitate development of novel therapies based on an improved understanding of pathogenic mechanisms underlying pharmacogenetic associations. This review summarizes progress in efforts to incorporate neuroimaging into genetics and treatment research on major psychiatric disorders, such as schizophrenia, major depressive disorder, bipolar disorder, attention-deficit/hyperactivity disorder, and addiction. Methodological challenges include: performing genetic analyses in small study populations used in imaging studies; inclusion of patients with psychiatric comorbidities; and the extensive variability across studies in neuroimaging protocols, neurobehavioral task probes, and analytic strategies. Moreover, few studies use pharmacogenetic designs that permit testing of genotype  drug effects. As a result of these limitations, few findings have been fully replicated. Future studies that pre-screen participants for genetic variants selected a priori based on drug metabolism and targets have the greatest potential to advance the science and practice of psychiatric treatment.
Imaging genomics and response to treatment with antipsychotics in schizophrenia
NeuroRX, 2006
Recent important advancements in genomic research have opened the way to new strategies for public health management. One of these questions pertains to how individual genetic variation may be associated with individual variability in response to drug treatment. The field of pharmacogenetics may have a profound impact on treatment of complex psychiatric disorders like schizophrenia. However, pharmacogenetic studies in schizophrenia have produced conflicting results. The first studies examined potential associations between clinical response and drug receptor genes. Subsequent studies have tried to use more objective phenotypes still in association with drug receptor genes. More recently, other studies have sought the association between putative causative or modifier genes and intermediate phenotypes. Thus, conflicting results may be at least in part explained by variability and choice of the phenotype, by choice of candidate genes, or by the relatively little knowledge about the neurobiology of this disorder. We propose that choosing intermediate phenotypes that allow in vivo measurement of specific neuronal functions may be of great help in reducing several of the potential confounds intrinsic to clinical measurements. Functional neuroimaging is ideally suited to address several of these potential confounds, and it may represent a powerful strategy to investigate the relationship between behavior, brain function, genes, and individual variability in the response to treatment with antipsychotic drugs in schizophrenia. Preliminary evidence with potential susceptilibity genes such as COMT, DISC1, and GRM3 support these assumptions.
Current Pharmaceutical Design, 2009
Recent evidence suggests that genetic variation is associated with individual variability in response to treatment with antipsychotics. Although numerous studies have been performed for identification of potential genetic variants affecting response to treatment, initial enthusiasm has been tempered by inconsistent results. Along with some specific methodological issues, another plausible explanation for such inconsistencies is lack of sensitivity of the phenotype (clinical measures) used to define response. In this paper, we review use of Imaging Genetics, a relatively new approach that combines genetic assessment with functional neuroimaging, to explore in vivo neurobiological effects of genetic variation. Moreover, we propose to use Imaging Genetics as a tool to evaluate and predict response to treatment with antipsychotics based on the individual genetic makeup.
Clinical applications of pharmacogenetics in psychiatry
Psychopharmacology, 2002
Pharmacogenetic research has identified response-related mutant variants in metabolic enzymes and drug-targeted receptors. Allelic variants of dopaminergic and serotonergic receptors have been associated with clinical outcome and adverse events such as movement disorders. Deficient metabolic enzymes have been related to drug accumulation and toxic events. This information will help to design safer and more efficient drugs. However, the field is moving rapidly towards a new goal: the application of pharmacogenetics as a clinical tool for the prediction of treatment outcome. The first studies in this direction have proved the feasibility of using genetic information for the prediction of response to antipsychotic drugs and to treatment of Alzheimer's disease. New strategies investigating genes related to specific symptoms and side-effects have produced encouraging results that can contribute to the improvement of the levels and accuracy of the predictions. This review tries to summarise recent advances and provides an overview of future clinical applications.
Genes, Brains, and Behavior: Imaging Genetics for Neuropsychiatric Disorders
J Neuropsychiatry Clin Neurosci., 2015
The majority of neuropsychiatric disorders show a strong degree of heritability, yet little is known about molecular factors involved in the pathophysiology of diseases like schizophrenia. After a brief historical introduction into the current understanding of neuropsychiatric disorders, the aim of this study is to discuss imaging genetics as a strategy to explore the pathophysiology of neuropsychiatric disorders. The candidate gene approach of imaging genetics is used for validation/ replication studies of genes, whereas the hypothesis-free, noncandidate gene approach appears to be a tool for gene discovery. Besides, integration of environmental factors into neuroimaging begins to converge on neuroimaging studies of genetic variation. In the light of data from other avenues such as animal experimentation, these developments show a model of interdisciplinary research, which may lead to identifying markers for neuropsychiatric disorders.
Imaging genetics: implications for research on variable antidepressant drug response
Expert review of clinical pharmacology, 2010
Genetic variation of SLC6A4, HTR1A, MAOA, COMT and BDNF has been associated with depression, variable antidepressant drug responses as well as impacts on brain regions of emotion processing that are modulated by antidepressants. Pharmacogenetic studies are using psychometric outcome measures of drug response and are hampered by small effect sizes that might be overcome by the use of intermediate endophenotypes of drug response, which are suggested by imaging studies. Such an approach will not only tighten the relationship between genes and drug response, but also yield new insights into the neurobiology of depression and individual drug responses. This article provides a comprehensive overview of pharmacogenetic, imaging genetics and drug response studies, utilizing imaging techniques within the context of antidepressive drug therapy.
Pharmacogenetics and pharmacogenomics of schizophrenia: a review of last decade of research
Molecular Psychiatry, 2007
The last decade of research into the pharmacogenetics of antipsychotics has seen the development of genetic tests to determine the patients' metabolic status and the first attempts at personalization of antipsychotic treatment. The most significant results are the association between drug metabolic polymorphisms, mainly in cytochrome P450 genes, with variations in drug metabolic rates and side effects. Patients with genetically determined CYP2D6 poor metabolizer (PMs) status may require lower doses of antipsychotic. Alternatively, CYP2D6 ultrarapid matabolizers (UMs) will need increased drug dosage to obtain therapeutic response. Additionally, polymorphisms in dopamine and serotonin receptor genes are repeatedly found associated with response phenotypes, probably reflecting the strong affinities that most antipsychotics display for these receptors. In particular, there is important evidence suggesting association between dopamine 2 receptor (D2) polymorphisms (Taq I and À141-C Ins/Del) and a dopamine 3 receptor (D3) polymorphism (Ser9Gly) with antipsychotic response and drug-induced tardive dyskinesia. Additionally, there is accumulating evidence indicating the influence of a 5-HT2C polymorphism (À759ÀT/C) in antipsychotic-induced weight gain. Application of this knowledge to clinical practice is slowly gathering pace, with pretreatment determination of individual's drug metabolic rates, via CYP genotyping, leading the field. Genetic determination of patients' metabolic status is expected to bring clinical benefits by helping to adjust therapeutic doses and reduce adverse reactions. Genetic tests for the pretreatment prediction of antipsychotic response, although still in its infancy, have obvious implications for the selection and improvement of antipsychotic treatment. These developments can be considered as successes, but the objectives of bringing pharmacogenetic and pharmacogenomic research in psychiatric clinical practice are far from being realized. Further development of genetic tests is required before the concept of tailored treatment can be applied to psychopharmatherapy. This review aims to summarize the key findings from the last decade of research in the field. Current knowledge on genetic prediction of drug metabolic status, general response and drug-induced side effects will be reviewed and future pharmacogenomic and epigenetic research will be discussed.
Applications of pharmacogenetics in psychiatry: personalisation of treatment
Expert Opinion on Pharmacotherapy, 2001
In spite of the lack of epidemiological information, pharmacogenetic research has produced evidence of the relationship between genes and treatment response. Genetic variants of metabolic enzymes are related to toxic reactions; polymorphisms in genes coding for drug-targeted neurotransmitter receptors influence therapeutic efficacy. Also, recent studies have shown that response to antipsychotic drugs can be predicted by looking at the individual's pharmacogenetic profile. In addition to providing the first evidence that treatment response can be predicted by looking at a core of key genes, these studies illustrate the feasibility of individualisation of psychiatric treatment.
Treatment-Resistant Schizophrenia: Genetic and Neuroimaging Correlates
Frontiers in Pharmacology, 2019
Genetics and Neuroimaging in Treatment Resistant Schizophrenia of patients via more efficiently targeted risk stratification, prevention, and tailored medication and treatment management approaches. The aim of this review is to summarize the state of art of pharmacogenetic, pharmacogenomic and neuroimaging studies in TRS.