How do I cite the IMPC?
If you use data or images generated by the IMPC in a publication or grant application, please do cite us!
To cite the IMPC, please mention our website www.mousephenotype.org and cite one or more the following publications, as appropriate.
Our recent paper on the data resource and web platform:
- Groza et al. (2022). The International Mouse Phenotyping Consortium: comprehensive knockout phenotyping underpinning the study of human disease, Nucleic Acids Research, in press
- Dickinson et al. (2016). High-throughput discovery of novel developmental phenotypes, Nature 537: 508-514
IMPC production papers:
- Lines produced from the ES cell resource — Birling et al. (2021). A resource of targeted mutant mouse lines for 5,061 genes, Nat Genet, 53:416-19
- Lines produced with Cas endonucleases — Elrick et al. (2021). The production of 4,182 mouse lines identifies experimental and biological variables impacting Cas9-mediated mutant mouse line production, bioRxiv
IMPC domain-specific articles (in chronological order):
- Sexual dimorphism – https://www.nature.com/articles/ncomms15475
- Hearing loss – https://www.ncbi.nlm.nih.gov/pubmed/29026089
- Disease models – https://pubmed.ncbi.nlm.nih.gov/28650483/
- Metabolism – https://www.ncbi.nlm.nih.gov/pubmed/29348434
- Eye – https://www.ncbi.nlm.nih.gov/pubmed/30588515
- Gene essentiality – https://www.ncbi.nlm.nih.gov/pubmed/32005800
- Bone – https://www.ncbi.nlm.nih.gov/pubmed/33370286
- Circadian rhythm – https://www.ncbi.nlm.nih.gov/pubmed/31929527
- Cardiovascular – https://www.nature.com/articles/s44161-022-00018-8
- Pain – https://www.ncbi.nlm.nih.gov/pubmed/35552317
- IMPC is now using OpenStats – https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0242933
- Since DR15.1, we apply a soft window approach to anlayse IMPC data – https://academic.oup.com/bioinformatics/article/36/5/1492/5583690. Please see our news item for more details.
Please visit the Publications section of the website for summaries on the main findings of some of these papers.
The IMPC makes this dataset publicly available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0). Please see our FAQ “Is IMPC data freely available” if you would like to know more about this.