ReviewTranslational psychiatry2017
Genetic tests in major psychiatric disorders-integrating molecular medicine with clinical psychiatry-why is it so difficult?
Review in Translational psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 54 citations in OpenAlex.
- Genetic Insights into Cannabis-induced Psychosis: Role of CNR1 Gene Mutation (rs1049353) and Implications- A Cross-sectional Study.Indian journal of psychological medicine · 2025Review
- Commonalities and differences in gene expression patterns in major depressive disorder and chronic spontaneous urticaria: implications for comorbidity.Frontiers in genetics · 2025Article
- Normalising the Implementation of Pharmacogenomic (PGx) Testing in Adult Mental Health Settings: A Theory-Based Systematic Review.Journal of personalized medicine · 2024Review
- Unraveling COVID-19 relationship with anxiety disorders and symptoms using genome-wide data.Journal of affective disorders · 2024Article
- Translational bioinformatics and data science for biomarker discovery in mental health: an analytical review.Briefings in bioinformatics · 2024Review
- Simultaneous modeling of multivariate heterogeneous responses and heteroskedasticity via a two-stage composite likelihood.Biometrical journal. Biometrische Zeitschrift · 2023Article
- Barriers to genetic testing in clinical psychiatry and ways to overcome them: from clinicians' attitudes to sociocultural differences between patients across the globe.Translational psychiatry · 2022Review
- Nanotechnology Approaches for Enhanced CNS Drug Delivery in the Management of Schizophrenia.Advanced pharmaceutical bulletin · 2022Review
- Role of an Atypical Cadherin Gene, Cdh23 in Prepulse Inhibition, and Implication of CDH23 in Schizophrenia.Schizophrenia bulletin · 2021Article
- All for one and one for all: heterogeneity of genetic etiologies in neurodevelopmental psychiatric disorders.Current opinion in genetics & development · 2021Review
- Current challenges and possible future developments in personalized psychiatry with an emphasis on psychotic disorders.Heliyon · 2020Review
- Psychiatric genomics researchers' perspectives on best practices for returning results to individual participants.Genetics in medicine : official journal of the American College of Medical Genetics · 2020Article
- On the path towards personalized medicine: Implications of pharmacogenetic studies of alcohol use disorder medications.Expert review of precision medicine and drug development · 2020Article
- Challenges of Immune Response Diversity in the Human Population Concerning New Tuberculosis Diagnostics, Therapies, and Vaccines.Frontiers in cellular and infection microbiology · 2020Article
- A framework for the investigation of rare genetic disorders in neuropsychiatry.Nature medicine · 2019Review
- Genetic Associations between Voltage-Gated Calcium Channels and Psychiatric Disorders.International journal of molecular sciences · 2019Review
- The role of genetics and genomics in clinical psychiatry.Dialogues in clinical neuroscience · 2018Review
- The functional variant rs334558 ofPharmacogenomics and personalized medicine · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the advent of post-genomic era, new technologies create extraordinary possibilities for diagnostics and personalized therapy, transforming todays' medicine. Rooted in both medical genetics and clinical psychiatry, the paper is designed as an integrated source of information of the current and potential future application of emerging genomic technologies as diagnostic tools in psychiatry, moving beyond the classical concept of patient approach. Selected approaches are presented, starting from currently used technologies (next-generation sequencing (NGS) and microarrays), followed by newer options (reverse phenotyping). Next, we describe an old concept in a new light (endophenotypes), subsequently coming up with a sophisticated and complex approach (gene networks) ending by a nascent field (computational psychiatry). The challenges and barriers that exist to translate genomic research to real-world patient assessment are further discussed. We emphasize the view that only a paradigm shift can bring a fundamental change in psychiatric practice, allowing to disentangle the intricacies of mental diseases. All the diagnostic methods, as described, are directed at uncovering the integrity of the system including many types of relations within a complex structure. The integrative system approach offers new opportunity to connect genetic background with specific diseases entities, or concurrently, with symptoms regardless of a diagnosis. To advance the field, we propose concerted cross-disciplinary effort to provide a diagnostic platform operating at the general level of genetic pathogenesis of complex-trait psychiatric disorders rather than at the individual level of a specific disease.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.