The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Disentangling Genetic Variation for Resistance and Tolerance to Infectious Diseases in Animals
Open accessAbstract
Hosts can in principle employ two different strategies to defend themselves against parasites: resistance and tolerance. Animals typically exhibit considerable genetic variation for resistance (the ability to limit parasite burden). However, little is known about whether animals can evolve tolerance (the ability to limit the damage caused by a given parasite burden). Using rodent malaria in laboratory mice as a model system and the statistical framework developed by plant-pathogen biologists, we demonstrated genetic variation for tolerance, as measured by the extent to which anemia and weight loss increased with increasing parasite burden. Moreover, resistance and tolerance were negatively genetically correlated. These results mean that animals, like plants, can evolve two conceptually different types of defense, a finding that has important implications for the understanding of the epidemiology and evolution of infectious diseases.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Experimental Design and Data Analysis for Biologists
Quinn, G. P., & Keough, M. J. (2002) · doi:10.1017/cbo9780511806384 · Cited by 10,674 · cited 2×
“Thus, resistance and tolerance have contrasting effects on the epidemiology of infectious diseases (5, 7).”
Background
Cited by
Genomic responses in mouse models poorly mimic human inflammatory diseases
Seok, J., Warren, H. S., Cuenca, A. G., Mindrinos, M. N., Baker, H. V., Xu, W., Richards, D. R., McDonald-Smith, G. P., Gao, H., Hennessy, L., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1222878110 · Cited by 3,005
Disease Tolerance as a Defense Strategy
Medzhitov, R., Schneider, D. S., & Soares, M. P. (2012) · Science · doi:10.1126/science.1214935 · Cited by 1,718
Schneider, D. S., & Ayres, J. S. (2008) · Nature Reviews Immunology · doi:10.1038/nri2432 · Cited by 783
Opposing Effects of Fasting Metabolism on Tissue Tolerance in Bacterial and Viral Inflammation
Wang, A., Huen, S. C., Luan, H. H., Yu, S., Zhang, C., Gallezot, J.-D., Booth, C. J., & Medzhitov, R. (2016) · Cell · doi:10.1016/j.cell.2016.07.026 · Cited by 579
GDF15 Is an Inflammation-Induced Central Mediator of Tissue Tolerance
Luan, H. H., Wang, A., Hilliard, B. K., Carvalho, F., Rosen, C. E., Ahasic, A. M., Herzog, E. L., Kang, I., Pisani, M. A., Yu, S., et al. (2019) · Cell · doi:10.1016/j.cell.2019.07.033 · Cited by 527
Metadata
- Authors
- Råberg, L., Sim, D., & Read, A. F.
- Venue
- Science
- Published
- 2007-11-02
- Volume
- 318
- Issue
- 5851
- Pages
- 812-814
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2063838707
- Cited by
- 794
- References
- 1
- FWCI
- 13.90
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Disentangling Genetic Variation for Resistance and Tolerance to Infectious Diseases in Animals. https://app.cochat.ai/papers/10.1126/science.1148526
- The paper
- Råberg, L., Sim, D., & Read, A. F. (2007). Disentangling Genetic Variation for Resistance and Tolerance to Infectious Diseases in Animals. Science. https://doi.org/10.1126/science.1148526
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.