ReviewBiological psychiatry2017
Enhancing the Informativeness and Replicability of Imaging Genomics Studies.
Review in Biological psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.
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
27 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- An ALE meta-analytic review of top-down and bottom-up processing of music in the brain.Scientific reports · 2021Pooled it
- Imaging genetics paradigms in depression research: Systematic review and meta-analysis.Progress in neuro-psychopharmacology & biological psychiatry · 2018Pooled it
- Intermediate endophenotypes and epigenetic mechanisms of psychiatric disorders.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Blunted brain responses to neutral faces in healthy first-degree relatives of patients with schizophrenia: an image-based fMRI meta-analysis.Schizophrenia (Heidelberg, Germany) · 2024Review
- Editorial: On the Economics of Neuroscientific Data Sharing.Neuroinformatics · 2024Article
- Open Science Practices in Psychiatric Genetics: A Primer.Biological psychiatry global open science · 2024Review
- Structural neuroimaging phenotypes and associated molecular and genomic underpinnings in autism: a review.Frontiers in neuroscience · 2023Review
- A review of brain imaging biomarker genomics in Alzheimer's disease: implementation and perspectives.Translational neurodegeneration · 2022Review
- Neuroimaging studies within Cognitive Genetics Collaborative Research Organization aiming to replicate and extend works of ENIGMA.Human brain mapping · 2022Review
- Machine Learning and Deep Learning for the Pharmacogenomics of Antidepressant Treatments.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2021Review
- Deep Learning with Neuroimaging and Genomics in Alzheimer's Disease.International journal of molecular sciences · 2021Review
- Healthy individualsWorld journal of clinical cases · 2021Article
- Serotonin system gene variants and regional brain volume differences in pediatric OCD.Brain imaging and behavior · 2020Article
- Dentate gyrus volume deficit in schizophrenia.Psychological medicine · 2020Article
- Neuroimaging in Schizophrenia.Neuroimaging clinics of North America · 2020Review
- Gene Expression Correlates of the Cortical Network Underlying Sentence Processing.Neurobiology of language (Cambridge, Mass.) · 2020Article
- The Translational Potential of Neuroimaging Genomic Analyses To Diagnosis And Treatment In The Mental Disorders.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2019Article
- Structural and Functional Neuroimaging of Polygenic Risk for Schizophrenia: A Recall-by-Genotype-Based Approach.Schizophrenia bulletin · 2019Article
- Imaging Genetics Towards a Refined Diagnosis of Schizophrenia.Frontiers in psychiatry · 2019Review
- Replication in Imaging Genetics: The Case of Threat-Related Amygdala Reactivity.Biological psychiatry · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Imaging genomics is a new field of investigation that seeks to gain insights into the impact of human genetic variation on the structure, chemistry, and function of neural systems in health and disease. Because publications in this field have increased over the past decade, increasing concerns have been raised about false-positive results entering the literature. Here, we provide an overview of the field of imaging genomic and genetic approaches and discuss factors related to research design and analysis that can enhance the informativeness and replicability of these studies. We conclude that imaging genetic studies can provide important insights into the role of human genetic variation on neural systems and circuits, both in the context of normal quantitative variation and in relation to neuropsychiatric disease. We also argue that demonstrating genetic association to imaging-derived traits is subject to the same constraints as any other genetic study, including stringent type I error control. Adequately powered studies are necessary; however, there are currently limited data available to allow precise estimates of effect sizes for candidate gene studies. Independent replication is necessary before a result can be considered definitive, and for studies with small sample sizes it is necessary before publication. Increased transparency of methods and enhanced data sharing will further enhance replicability.
Indexed as
Identifiers
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.