ReviewNature reviews. Genetics2018
High-throughput mouse phenomics for characterizing mammalian gene function.
Review in Nature reviews. Genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
52 citing papers in PubMed.
- Restoring comparative expertise to improve translation of animal models.Disease models & mechanisms · 2026Review
- Standardized Pipeline for Metabolism and Cognition in GO-DS21 Mouse Model: Investigating Down Syndrome Comorbidities.Current protocols · 2026Article
- Large-scale mouse mutagenesis identifies novel genes affecting vertebral anatomy.Mammalian genome : official journal of the International Mammalian Genome Society · 2026Article
- Computational strategies for cross-species knowledge transfer.Nature methods · 2026Review
- Development of the membranous labyrinth in E9.5 to E14.5 C57BL/6N mouse embryos. Stage specific metric and descriptive reference data and their use for identifying malformations.Frontiers in cell and developmental biology · 2026Article
- The Unified Phenotype Ontology : a framework for cross-species integrative phenomics.Genetics · 2025Article
- Methods for Modeling Early Life Stress in Rodents.Methods in molecular biology (Clifton, N.J.) · 2025Review
- The Unified Phenotype Ontology (uPheno): A framework for cross-species integrative phenomics.bioRxiv : the preprint server for biology · 2024Article
- Computational strategies for cross-species knowledge transfer and translational biomedicine.ArXiv · 2024Article
- Study of tree shrew biology and models: A booming and prosperous field for biomedical research.Zoological research · 2024Review
- How is Big Data reshaping preclinical aging research?Lab animal · 2023Review
- CellGO: a novel deep learning-based framework and webserver for cell-type-specific gene function interpretation.Briefings in bioinformatics · 2023Article
- A Lipid Nanoparticle-Based Method for the Generation of Liver-Specific Knockout Mice.International journal of molecular sciences · 2023Article
- EmbryoNet: using deep learning to link embryonic phenotypes to signaling pathways.Nature methods · 2023Article
- GIPC3 couples to MYO6 and PDZ domain proteins, and shapes the hair cell apical region.Journal of cell science · 2023Article
- GIPC3 couples to MYO6 and PDZ domain proteins and shapes the hair cell apical region.bioRxiv : the preprint server for biology · 2023Article
- The International Mouse Phenotyping Consortium: comprehensive knockout phenotyping underpinning the study of human disease.Nucleic acids research · 2023Article
- Mendelian gene identification through mouse embryo viability screening.Genome medicine · 2022Article
- A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids.American journal of human genetics · 2022Article
- Multivariate phenotype analysis enables genome-wide inference of mammalian gene function.PLoS biology · 2022Article
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
We are entering a new era of mouse phenomics, driven by large-scale and economical generation of mouse mutants coupled with increasingly sophisticated and comprehensive phenotyping. These studies are generating large, multidimensional gene-phenotype data sets, which are shedding new light on the mammalian genome landscape and revealing many hitherto unknown features of mammalian gene function. Moreover, these phenome resources provide a wealth of disease models and can be integrated with human genomics data as a powerful approach for the interpretation of human genetic variation and its relationship to disease. In the future, the development of novel phenotyping platforms allied to improved computational approaches, including machine learning, for the analysis of phenotype data will continue to enhance our ability to develop a comprehensive and powerful model of mammalian gene-phenotype space.
Indexed as
Identifiers
What Socratic 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 Socratic graph.