ArticleNeuroscience2009
Phenomics: the systematic study of phenotypes on a genome-wide scale.
Article in Neuroscience, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.
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.
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Who cites it
93 citing papers in PubMed.
- Integrating host-microbiome multi-omics with machine learning: methods, benchmarks, and translational applications.Science China. Life sciences · 2026Review
- MLDAAPP: machine learning data acquisition for assessing population phenotypes.G3 (Bethesda, Md.) · 2025Article
- AI in Neurology: Everything, Everywhere, all at Once PART 2: Speech, Sentience, Scruples, and Service.Annals of neurology · 2025Review
- Long-read sequencing of 945 Han individuals identifies structural variants associated with phenotypic diversity and disease susceptibility.Nature communications · 2025Article
- Automated Phenotypic Trait Extraction for Rice Plant Using Terrestrial Laser Scanning Data.Sensors (Basel, Switzerland) · 2024Article
- Protocol for the development of joint attention-based subclassification of autism spectrum disorder and validation using multi-modal data.BMC psychiatry · 2023Article
- EmbryoNet: using deep learning to link embryonic phenotypes to signaling pathways.Nature methods · 2023Article
- Individualized functional connectome identified generalizable biomarkers for psychiatric symptoms in transdiagnostic patients.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023Article
- Functional genomic effects of indels using Bayesian genome-phenome wide association studies in sorghum.Frontiers in genetics · 2023Article
- Phenomics as an approach to Comparative Developmental Physiology.Frontiers in physiology · 2023Article
- Predictive Modelling in Clinical Bioinformatics: Key Concepts for Startups.Biotech (Basel (Switzerland)) · 2022Article
- Natterin-like depletion by CRISPR/Cas9 impairs zebrafish (Danio rerio) embryonic development.BMC genomics · 2022Article
- Compromised reactive but intact proactive inhibitory motor control in Tourette disorder.Scientific reports · 2022Article
- Susceptible and resistant olive cultivars show differential physiological response toFrontiers in plant science · 2022Article
- The field phenotyping platform's next darling: Dicotyledons.Frontiers in plant science · 2022Review
- Phenotypes of Cardiovascular Diseases: Current Status and Future Perspectives.Phenomics (Cham, Switzerland) · 2021Review
- A web-based survey on various symptoms of computer vision syndrome and the genetic understanding based on a multi-trait genome-wide association study.Scientific reports · 2021Article
- [Neurogenetics of schizophrenia: findings from studies based on data sharing and global partnerships].Der Nervenarzt · 2021Review
- Turning the Curve Into Straight: Phenogenetics of the Spine Morphology and Coordinate Maintenance in the Zebrafish.Frontiers in cell and developmental biology · 2021Review
- "Retrofitting" established genetic disorders and diseases through big data and phenomics.Neurology. Clinical practice · 2020Article
33 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
9 authors.
Funding
Abstract
Phenomics is an emerging transdiscipline dedicated to the systematic study of phenotypes on a genome-wide scale. New methods for high-throughput genotyping have changed the priority for biomedical research to phenotyping, but the human phenome is vast and its dimensionality remains unknown. Phenomics research strategies capable of linking genetic variation to public health concerns need to prioritize development of mechanistic frameworks that relate neural systems functioning to human behavior. New approaches to phenotype definition will benefit from crossing neuropsychiatric syndromal boundaries, and defining phenotypic features across multiple levels of expression from proteome to syndrome. The demand for high throughput phenotyping may stimulate a migration from conventional laboratory to web-based assessment of behavior, and this offers the promise of dynamic phenotyping-the iterative refinement of phenotype assays based on prior genotype-phenotype associations. Phenotypes that can be studied across species may provide greatest traction, particularly given rapid development in transgenic modeling. Phenomics research demands vertically integrated research teams, novel analytic strategies and informatics infrastructure to help manage complexity. The Consortium for Neuropsychiatric Phenomics at UCLA has been supported by the National Institutes of Health Roadmap Initiative to illustrate these principles, and is developing applications that may help investigators assemble, visualize, and ultimately test multi-level phenomics hypotheses. As the transdiscipline of phenomics matures, and work is extended to large-scale international collaborations, there is promise that systematic new knowledge bases will help fulfill the promise of personalized medicine and the rational diagnosis and treatment of neuropsychiatric syndromes.
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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.