ReviewNature neuroscience2014
Whole-genome analyses of whole-brain data: working within an expanded search space.
Review in Nature neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 3 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
74 citing papers in PubMed, 3 syntheses or guidelines pooled it, 129 citations in OpenAlex.
- Role of Imaging Genetics in Alzheimer's Disease: A Systematic Review and Current Update.CNS & neurological disorders drug targets · 2024Pooled it
- ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries.Translational psychiatry · 2020Pooled it
- Brain imaging genetics in ADHD and beyond - Mapping pathways from gene to disorder at different levels of complexity.Neuroscience and biobehavioral reviews · 2017Pooled it
- NeuroDISK: An AI Approach to Automate Continuous Inquiry-Driven Discoveries in Neuroimaging Genetics.bioRxiv : the preprint server for biology · 2025Article
- Accelerating Heritability, Genetic Correlation, and Genome-Wide Association Imaging Genetic Analyses in Complex Pedigrees.Human brain mapping · 2024Article
- Current best practices and future opportunities for reproducible findings using large-scale neuroimaging in psychiatry.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- Branched-chain amino acids and the risks of dementia, Alzheimer's disease, and Parkinson's disease.Frontiers in aging neuroscience · 2024Article
- Association between polygenic risk for Alzheimer's disease and brain structure in children and adults.Alzheimer's research & therapy · 2023Article
- Regional gene expression patterns are associated with task-specific brain activation during reward and emotion processing measured with functional MRI.Human brain mapping · 2022Article
- Ten years of enhancing neuro-imaging genetics through meta-analysis: An overview from the ENIGMA Genetics Working Group.Human brain mapping · 2022Review
- Deep Learning with Neuroimaging and Genomics in Alzheimer's Disease.International journal of molecular sciences · 2021Review
- MADGAN: unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction.BMC bioinformatics · 2021Article
- Neuroimaging PheWAS (Phenome-Wide Association Study): A Free Cloud-Computing Platform for Big-Data, Brain-Wide Imaging Association Studies.Neuroinformatics · 2021Article
- Super-variants identification for brain connectivity.Human brain mapping · 2021Article
- Impaired formation of high-order gephyrin oligomers underlies gephyrin dysfunction-associated pathologies.iScience · 2021Article
- Proteomic Characterization of the Olfactory Molecular Imbalance in Dementia with Lewy Bodies.International journal of molecular sciences · 2020Article
- L2RM: Low-rank Linear Regression Models for High-dimensional Matrix Responses.Journal of the American Statistical Association · 2020Article
- Brain Imaging Genomics: Integrated Analysis and Machine Learning.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2020Article
- Full exploitation of high dimensionality in brain imaging: The JPND working group statement and findings.Alzheimer's & dementia (Amsterdam, Netherlands) · 2019Article
- Independent Multiple Factor Association Analysis for Multiblock Data in Imaging Genetics.Neuroinformatics · 2019Article
14 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
Large-scale comparisons of patients and healthy controls have unearthed genetic risk factors associated with a range of neurological and psychiatric illnesses. Meanwhile, brain imaging studies are increasing in size and scope, revealing disease and genetic effects on brain structure and function, and implicating neural pathways and causal mechanisms. With the advent of global neuroimaging consortia, imaging studies are now well powered to discover genetic variants that reliably affect the brain. Genetic analyses of brain measures from tens of thousands of people are being extended to test genetic associations with signals at millions of locations in the brain, and connectome-wide, genome-wide scans can jointly screen brain circuits and genomes; these analyses and others present new statistical challenges. There is a growing need for the community to establish and enforce standards in this developing field to ensure robust findings. Here we discuss how neuroimagers and geneticists have formed alliances to discover how genetic factors affect the brain. The field is rapidly advancing with ultra-high-resolution imaging and whole-genome sequencing. We recommend a rigorous approach to neuroimaging genomics that capitalizes on its recent successes and ensures the reliability of future discoveries.
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.