ReviewNeuroImage2013
Genetics of the connectome.
Review in NeuroImage, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 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
91 citing papers in PubMed, 3 syntheses or guidelines pooled it, 165 citations in OpenAlex.
- Genetic and phylogenetic uncoupling of structure and function in human transmodal cortex.Nature communications · 2022Pooled it
- [Research progress on genetic effects of the asymmetry of human brain structure revealed by magnetic resonance imaging].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2020Pooled 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
- Capturing individual variation in children's electroencephalograms during nREM sleep.PLoS computational biology · 2026Article
- Cerebellocerebral connectivity predicts body mass index: a new open-source Python-based framework for connectome-based predictive modeling.GigaScience · 2025Article
- Integrating Neuroimaging and Genetics via Contrastive Learning for Working Memory.... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics · 2024Article
- The macroscale routing mechanism of structural brain connectivity related to body mass index.Human brain mapping · 2024Article
- Neurogenetics of Brain Connectivity: Current Approaches to the Study (Review).Sovremennye tekhnologii v meditsine · 2024Review
- Imaging Transcriptomics of Brain Disorders.Biological psychiatry global open science · 2022Review
- A cognitive neurogenetic approach to uncovering the structure of executive functions.Nature communications · 2022Article
- Novel drug developmental strategies for treatment-resistant depression.British journal of pharmacology · 2022Review
- Predictive classification of Alzheimer's disease using brain imaging and genetic data.Scientific reports · 2022Article
- Ten years of enhancing neuro-imaging genetics through meta-analysis: An overview from the ENIGMA Genetics Working Group.Human brain mapping · 2022Review
- Research trends and hotspots on connectomes from 2005 to 2021: A bibliometric and latent Dirichlet allocation application study.Frontiers in neuroscience · 2022Article
- Ridge Penalization in High-Dimensional Testing With Applications to Imaging Genetics.Frontiers in neuroscience · 2022Article
- Topographical functional correlates of interindividual differences in executive functions in young healthy twins.Brain structure & function · 2022Article
- When makes you unique: Temporality of the human brain fingerprint.Science advances · 2021Article
- Inner Hemispheric and Interhemispheric Connectivity Balance in the Human Brain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- The human connectome in Alzheimer disease - relationship to biomarkers and genetics.Nature reviews. Neurology · 2021Review
- A Transcriptome Community-and-Module Approach of the Human Mesoconnectome.Entropy (Basel, Switzerland) · 2021Article
31 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
5 authors at 5 institutions in 3 countries.
Funding
Abstract
Connectome genetics attempts to discover how genetic factors affect brain connectivity. Here we review a variety of genetic analysis methods--such as genome-wide association studies (GWAS), linkage and candidate gene studies--that have been fruitfully adapted to imaging data to implicate specific variants in the genome for brain-related traits. Studies that emphasized the genetic influences on brain connectivity. Some of these analyses of brain integrity and connectivity using diffusion MRI, and others have mapped genetic effects on functional networks using resting state functional MRI. Connectome-wide genome-wide scans have also been conducted, and we review the multivariate methods required to handle the extremely high dimension of the genomic and network data. We also review some consortium efforts, such as ENIGMA, that offer the power to detect robust common genetic associations using phenotypic harmonization procedures and meta-analysis. Current work on connectome genetics is advancing on many fronts and promises to shed light on how disease risk genes affect the brain. It is already discovering new genetic loci and even entire genetic networks that affect brain organization and connectivity.
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.