The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Unexpected mutations after CRISPR–Cas9 editing in vivo
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In the citing paper
“These include the possibilities of limited on-target editing efficiency38,39, incomplete editing (mosaicism)40,41, and inaccurate on- or off-target editing42,43.”
From CRISPR Ethics: Moral Considerations for Applications of a Powerful Tool (2019) · cites this paper as [42]
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Citations
Cites
Analysis of Genetic Inheritance in a Family Quartet by Whole-Genome Sequencing
Roach, J. C., Glusman, G., Smit, A. F. A., Huff, C. D., Hubley, R., Shannon, P. T., Rowen, L., Pant, K. P., Goodman, N., Bamshad, M., et al. (2010) · Science · doi:10.1126/science.1186802 · Cited by 1,084
Off-target mutations are rare in Cas9-modified mice
Iyer, V., Shen, B., Zhang, W., Hodgkins, A., Keane, T., Huang, X., & Skarnes, W. C. (2015) · Nature Methods · doi:10.1038/nmeth.3408 · Cited by 185
Research works printed but not linked: 4
- Wu, W.H. et al. CRISPR repair reveals causative mutation in a preclinical model of retinitis pigmentosa. Mol. Ther. 24, 1388–1394 (2016). · DOI
- Koo, T., Lee, J. & Kim, J.S. Measuring and reducing off-target activities of programmable nucleases including CRISPR–Cas9. Mol. Cells 38, 475–481 (2015). · DOI · Paper page
- Nachman, M.W. & Crowell, S.L. Estimate of the mutation rate per nucleotide in humans. Genetics 156, 297–304 (2000). · DOI · Paper page
- Mattick, J.S. & Makunin, I.V. Non-coding RNA. Hum. Mol. Genet. 15, R17–R29 (2006). · DOI · Paper page
Cited by
Lipid nanoparticles enabling gene therapies: from concepts to clinical utility
Kulkarni, J. A., Cullis, P. R., & van der Meel, R. (2018) · Nucleic Acid Therapeutics · doi:10.1089/nat.2018.0721 · Cited by 592
In vivo target gene activation via CRISPR/Cas9-mediated trans-epigenetic modulation
Liao, H.-K., Hatanaka, F., Araoka, T., Reddy, P., Wu, M.-Z., Sui, Y., Yamauchi, T., Sakurai, M., O’Keefe, D. D., Núñez-Delicado, E., et al. (2017) · Cell · doi:10.1016/j.cell.2017.10.025 · Cited by 451
CRISPR/cas9 genome editing in wheat
Kim, D., Alptekin, B., & Budak, H. (2018) · Functional & Integrative Genomics · doi:10.1007/s10142-017-0572-x · Cited by 365
Manghwar, H., Li, B., Ding, X., Hussain, A., Lindsey, K., Zhang, X., & Jin, S. (2020) · Advanced Science · doi:10.1002/advs.201902312 · Cited by 347
Optimized CRISPR guide RNA design for two high-fidelity Cas9 variants by deep learning
Wang, D., Zhang, C., Wang, B., Li, B., Wang, Q., Liu, D., Wang, H., Zhou, Y., Shi, L., Lan, F., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12281-8 · Cited by 331
Metadata
- Authors
- Schaefer, K. A., Wu, W.-H., Colgan, D. F., Tsang, S. H., Bassuk, A. G., & Mahajan, V. B.
- Venue
- Nature Methods
- Published
- 2017-05-30
- Volume
- 14
- Issue
- 6
- Pages
- 547-548
- ISSN
- 1548-7091
- 1548-7105
- PMC
- PMC5796662
- Cited by
- 286
- References
- 2
- Language
- en
- Status
- Retracted
- Update notices
- Licence
- www.springer.com/tdm (tdm)
- www.springer.com/tdm (vor)
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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How to cite
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- CoChat. (2026). Citation check: Unexpected mutations after CRISPR–Cas9 editing in vivo. https://app.cochat.ai/papers/10.1038/nmeth.4293
- The paper
- Schaefer, K. A., Wu, W.-H., Colgan, D. F., Tsang, S. H., Bassuk, A. G., & Mahajan, V. B. (2017). Unexpected mutations after CRISPR–Cas9 editing in vivo. Nature Methods. https://doi.org/10.1038/nmeth.4293
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.