ReviewNeuroImage2022
Causal inference on neuroimaging data with Mendelian randomisation.
Review in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.
- Cardiovascular diseases and depression: A meta-analysis and Mendelian randomization analysis.Molecular psychiatry · 2025Pooled it
- Inferring multi-organ genetic connections using imaging and clinical data through Mendelian randomization.Nature biomedical engineering · 2026Article
- Linking functional and structural dendritic spine remodeling during fear learning and extinction in vivo.Science advances · 2026Article
- Multiscale Cortical Remodeling Following Abrupt Visual Deafferentation in Rhegmatogenous Retinal Detachment: Imaging Transcriptomics and Neurotransmitter Mapping.CNS neuroscience & therapeutics · 2026Article
- [Causal relationship between the triglycerideZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026Article
- Deriving Mendelian Randomization-Based Causal Networks of Brain Imaging Phenotypes and Bipolar Disorder.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
- Mitochondrial Gene Regulation and Pain Susceptibility: A Multi-Omics Causal Inference Study.International journal of molecular sciences · 2025Article
- Effects of obesity on aging brain and cognitive decline: A cohort study from the UK Biobank.IBRO neuroscience reports · 2025Article
- Genetic Evidence of Causal Effect between C1q/TNF-Related Protein-1 and Atherosclerosis: a Bidirectional and Multivariate Mendelian Randomization Study.Journal of atherosclerosis and thrombosis · 2025Article
- Future risk of falls induced by ankle-foot sprains history: An observational and mendelian randomization study.Sports medicine and health science · 2025Article
- Genetically supported targets and drug repurposing for brain aging: A systematic study in the UK Biobank.Science advances · 2025Article
- Leveraging multimodal neuroimaging and GWAS for identifying modality-level causal pathways to Alzheimer's disease.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Deriving Mendelian Randomization-based Causal Networks of Brain Imaging Phenotypes and Bipolar Disorder.medRxiv : the preprint server for health sciences · 2024Article
- The causal relationship of DTI phenotypes and epilepsy: A two sample mendelian randomization study.Epilepsia open · 2024Article
- Phenotypic and genetic characteristics of retinal vascular parameters and their association with diseases.Nature communications · 2024Article
- Causal relationships between cortical brain structural alterations and migraine subtypes: a bidirectional Mendelian randomization study of 2,347 neuroimaging phenotypes.The journal of headache and pain · 2024Article
- Premorbid brain structure influences risk of amyotrophic lateral sclerosis.Journal of neurology, neurosurgery, and psychiatry · 2024Article
- Article
- Causal relationship between multiparameter brain MRI phenotypes and age: evidence from Mendelian randomization.Brain communications · 2024Article
- Exploring the causal relationship between glutamine metabolism and leukemia risk: a Mendelian randomization and LC-MS/MS analysis.Frontiers in immunology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
While population-scale neuroimaging studies offer the promise of discovery and characterisation of subtle risk factors, massive sample sizes increase the power for both meaningful associations and those attributable to confounds. This motivates the need for causal modelling of observational data that goes beyond statements of association and towards deeper understanding of complex relationships between individual traits and phenotypes, clinical biomarkers, genetic variation, and brain-related measures of health. Mendelian randomisation (MR) presents a way to obtain causal inference on the basis of genetic data and explicit assumptions about the relationship between genetic variables, exposure and outcome. In this work, we provide an introduction to and overview of causal inference methods based on Mendelian randomisation, with examples involving imaging-derived phenotypes from UK Biobank to make these methods accessible to neuroimaging researchers. We motivate the use of MR techniques, lay out the underlying assumptions, introduce common MR methods and focus on several scenarios in which modelling assumptions are potentially violated, resulting in biased effect estimates. Importantly, we give a detailed account of necessary steps to increase the reliability of MR results with rigorous sensitivity analyses.
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.