ReviewGenome medicine2017
Neuroimaging genomics in psychiatry-a translational approach.
Review in Genome medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis 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
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of associations between functional MRI activity and polygenic risk for schizophrenia and bipolar disorder.Brain imaging and behavior · 2019Pooled it
- Big data and psychiatry: advances, constraints and future directions.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026Article
- Transcriptome-informed brain cartography of polygenic risk and association with brain structure in major psychiatric disorders.Molecular psychiatry · 2026Article
- Investigating The Brain Regions Related to Early Onset Psychosis: A Voxel-Based Morphometry Study Considering The Effect of Hereditary Burden and Environmental Risk Factors.Noro psikiyatri arsivi · 2025Article
- The evolution of decision-making mechanisms under competing demands.Trends in ecology & evolution · 2024Review
- Neuroimaging genetics approaches to identify new biomarkers for the early diagnosis of autism spectrum disorder.Molecular psychiatry · 2023Review
- Associations between polygenic risk scores and accelerated brain ageing in smokers.Psychological medicine · 2023Article
- The effects of AQP4 rs162009 on resting-state brain activity in Parkinson's disease.CNS neuroscience & therapeutics · 2023Article
- Genetic overlap between cortical brain morphometry and frontotemporal dementia risk.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Neurobiologically Based Stratification of Recent-Onset Depression and Psychosis: Identification of Two Distinct Transdiagnostic Phenotypes.Biological psychiatry · 2022Article
- Phenotypes, mechanisms and therapeutics: insights from bipolar disorder GWAS findings.Molecular psychiatry · 2022Review
- Multi-modal intermediate integrative methods in neuropsychiatric disorders: A review.Computational and structural biotechnology journal · 2022Review
- ENIGMA-anxiety working group: Rationale for and organization of large-scale neuroimaging studies of anxiety disorders.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
- Case Report: Chemotherapy Indication in a Case of Neurofibromatosis Type 1 Presenting Optic Pathway Glioma: A One-Year Clinical Case Study Using Differential Tractography Approach.Frontiers in human neuroscience · 2021Article
- Genetic, cellular, and connectomic characterization of the brain regions commonly plagued by glioma.Brain : a journal of neurology · 2020Article
- Applications of machine learning to diagnosis and treatment of neurodegenerative diseases.Nature reviews. Neurology · 2020Review
- CHIMGEN: a Chinese imaging genetics cohort to enhance cross-ethnic and cross-geographic brain research.Molecular psychiatry · 2020Review
- Neuroimaging in Schizophrenia.Neuroimaging clinics of North America · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Neuroimaging genomics is a relatively new field focused on integrating genomic and imaging data in order to investigate the mechanisms underlying brain phenotypes and neuropsychiatric disorders. While early work in neuroimaging genomics focused on mapping the associations of candidate gene variants with neuroimaging measures in small cohorts, the lack of reproducible results inspired better-powered and unbiased large-scale approaches. Notably, genome-wide association studies (GWAS) of brain imaging in thousands of individuals around the world have led to a range of promising findings. Extensions of such approaches are now addressing epigenetics, gene-gene epistasis, and gene-environment interactions, not only in brain structure, but also in brain function. Complementary developments in systems biology might facilitate the translation of findings from basic neuroscience and neuroimaging genomics to clinical practice. Here, we review recent approaches in neuroimaging genomics-we highlight the latest discoveries, discuss advantages and limitations of current approaches, and consider directions by which the field can move forward to shed light on brain disorders.
Indexed as
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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.