[Guidelines on genetic testing in psychiatry: an overview]

BACKGROUND: In recent years, technological advances have led to the identification of numerous genetic variations that are associated with psychiatric symptoms. Establishing a genetic cause may provide patients and family members with an explanation for the problems and in specific cases allows targeted treatment of psychiatric and somatic (co)morbidity. At present, patients with psychiatric disorders are rarely referred for genetic testing. AIM: To provide an overview of literature and (inter)national guidelines in the field of genetic testing for patients with psychiatric disorder, and to present guidance on indications for genetic testing in clinical practice. METHOD: A systematic search was conducted in PubMed and Embase focusing on articles with recommendations on genetic testing in psychiatric disorders. In addition, national and international guidelines on genetic testing in psychiatry were studied. The main findings were summarized in an infographic. RESULTS: Based on the current literature and (inter)national guidelines, patients with (comorbid) intellectual disability should always be referred to a clinical geneticist. Psychiatrists should consider genetic testing in patients with other psychiatric disorders if there are ‘red flags’ such as a positive family history, congenital abnormalities, developmental delay, dysmorphic features, movement disorders or cognitive decline. Psychiatrists may request genetic testing themselves or refer patients to clinical geneticists. CONCLUSION: Psychiatric disorders may be underpinned by a genetic anomaly, particularly in patients presenting with psychiatric as well as somatic symptomatology. Psychiatrists should recognize symptoms and warning signs indicative of an underlying genetic abnormality, and know when to refer their patients for genetic testing

Untargeted metabolic analysis in dried blood spots reveals metabolic signature in 22q11.2 deletion syndrome

Contains fulltext : 252344.pdf (Publisher’s version ) (Open Access)The 22q11.2 deletion syndrome (22q11.2DS) is characterized by a well-defined microdeletion and is associated with increased risk of neurodevelopmental phenotypes including autism spectrum disorders (ASD) and intellectual impairment. The typically deleted region in 22q11.2DS contains multiple genes with the potential of altering metabolism. Deficits in metabolic processes during early brain development may help explain the increased prevalence of neurodevelopmental phenotypes seen in 22q11.2DS. However, relatively little is known about the metabolic impact of the 22q11.2 deletion, while such insight may lead to increased understanding of the etiology. We performed untargeted metabolic analysis in a large sample of dried blood spots derived from 49 22q11.2DS patients and 87 controls, to identify a metabolic signature for 22q11.2DS. We also examined trait-specific metabolomic patterns within 22q11.2DS patients, focusing on intelligence (intelligence quotient, IQ) and ASD. We used the Boruta algorithm to select metabolites distinguishing patients from controls, patients with ASD from patients without, and patients with an IQ score in the lowest range from patients with an IQ score in the highest range. The relevance of the selected metabolites was visualized with principal component score plots, after which random forest analysis and logistic regression were used to measure predictive performance of the selected metabolites. Analysis yielded a distinct metabolic signature for 22q11.2DS as compared to controls, and trait-specific (IQ and ASD) metabolomic patterns within 22q11.2DS patients. The metabolic characteristics of 22q11.2DS provide insights in biological mechanisms underlying the neurodevelopmental phenotype and may ultimately aid in identifying novel therapeutic targets for patients with developmental disorders

A normative chart for cognitive development in a genetically selected population

Certain pathogenic genetic variants impact neurodevelopment and cause deviations from typical cognitive trajectories. Understanding variant-specific cognitive trajectories is clinically important for informed monitoring and identifying patients at risk for comorbid conditions. Here, we demonstrate a variant-specific normative chart for cognitive development for individuals with 22q11.2 deletion syndrome (22q11DS). We used IQ data from 1365 individuals with 22q11DS to construct variant-specific normative charts for cognitive development (Full Scale, Verbal, and Performance IQ). This allowed us to calculate Z-scores for each IQ datapoint. Then, we calculated the change between first and last available IQ assessments (delta Z-IQ-scores) for each individual with longitudinal IQ data (n = 708). We subsequently investigated whether using the variant-specific IQ-Z-scores would decrease required sample size to detect an effect with schizophrenia risk, as compared to standard IQ-scores. The mean Z-IQ-scores for FSIQ, VIQ, and PIQ were close to 0, indicating that participants had IQ-scores as predicted by the normative chart. The mean delta-Z-IQ-scores were equally close to 0, demonstrating a good fit of the normative chart and indicating that, as a group, individuals with 22q11DS show a decline in IQ-scores as they grow into adulthood. Using variant-specific IQ-Z-scores resulted in 30% decrease of required sample size, as compared to the standard IQ-based approach, to detect the association between IQ-decline and schizophrenia (p < 0.01). Our findings suggest that using variant-specific normative IQ data significantly reduces required sample size in a research context, and may facilitate a more clinically informative interpretation of IQ data. This approach allows identification of individuals that deviate from their expected, variant-specific, trajectory. This group may be at increased risk for comorbid conditions, such as schizophrenia in the case of 22q11DS

The effect of Ecstasy on memory is moderated by a functional polymorphism in the cathechol-O-methyltransferase (COMT) gene

There is ample evidence for decreased verbal memory in heavy Ecstasy users. However, findings on the presence of a dose-response relation are inconsistent, possibly due to individual differences in genetic vulnerability. Catechol-O-methyltransferase (COMT) is involved in the catabolism of Ecstasy. Therefore, COMT gene polymorphisms may moderate this vulnerability. We prospectively assessed verbal memory in subjects with a high risk for future Ecstasy use, and compared 59 subjects after first Ecstasy use with 60 subjects that remained Ecstasy-naive. In addition, we tested the interaction effect of Ecstasy and the functional val 158met polymorphism on verbal memory. Met-allele carriers were somewhat more sensitive to the effects of Ecstasy on verbal learning than homozygous val-subjects. After correction for the use of other substances this effect was no longer statistically significant. The findings suggest that the COMT gene moderates the negative effect of Ecstasy on memory, but also other drug use seems to play a role