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Cited by 384

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

TNF receptor 1 genetic risk mirrors outcome of anti-TNF therapy in multiple sclerosis

Open access
Gregory, Adam P., Dendrou, Calliope A., Attfield, Kathrine E., Haghikia, Aiden, Xifara, Dionysia K., Butter, Falk, Poschmann, Gereon, Kaur, Gurman, Lambert, Lydia, Leach, Oliver A., Prömel, Simone, Punwani, Divya, Felce, James H., Davis, Simon J., Gold, Ralf, Nielsen, Finn C., Siegel, Richard M., Mann, Matthias, Bell, John I., McVean, Gil, Fugger, Lars·2012·Nature

Abstract

Although there has been much success in identifying genetic variants associated with common diseases using genome-wide association studies (GWAS), it has been difficult to demonstrate which variants are causal and what role they have in disease. Moreover, the modest contribution that these variants make to disease risk has raised questions regarding their medical relevance. Here we have investigated a single nucleotide polymorphism (SNP) in the TNFRSF1A gene, that encodes tumour necrosis factor receptor 1 (TNFR1), which was discovered through GWAS to be associated with multiple sclerosis (MS), but not with other autoimmune conditions such as rheumatoid arthritis, psoriasis and Crohn’s disease. By analysing MS GWAS data in conjunction with the 1000 Genomes Project data we provide genetic evidence that strongly implicates this SNP, rs1800693, as the causal variant in the TNFRSF1A region. We further substantiate this through functional studies showing that the MS risk allele directs expression of a novel, soluble form of TNFR1 that can block TNF. Importantly, TNF-blocking drugs can promote onset or exacerbation of MS, but they have proven highly efficacious in the treatment of autoimmune diseases for which there is no association with rs1800693. This indicates that the clinical experience with these drugs parallels the disease association of rs1800693, and that the MS-associated TNFR1 variant mimics the effect of TNF-blocking drugs. Hence, our study demonstrates that clinical practice can be informed by comparing GWAS across common autoimmune diseases and by investigating the functional consequences of the disease-associated genetic variation.

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Metadata

Authors
Gregory, A. P., Dendrou, C. A., Attfield, K. E., Haghikia, A., Xifara, D. K., Butter, F., Poschmann, G., Kaur, G., Lambert, L., Leach, O. A., Prömel, S., Punwani, D., Felce, J. H., Davis, S. J., Gold, R., Nielsen, F. C., Siegel, R. M., Mann, M., Bell, J. I., McVean, G., & Fugger, L.
Venue
Nature
Published
2012-07-08
Volume
488
Issue
7412
Pages
508-511
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2069606030
Cited by
384
References
31
FWCI
29.51
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: TNF receptor 1 genetic risk mirrors outcome of anti-TNF therapy in multiple sclerosis. https://app.cochat.ai/papers/10.1038/nature11307
The paper
Gregory, A. P., Dendrou, C. A., Attfield, K. E., Haghikia, A., Xifara, D. K., Butter, F., Poschmann, G., Kaur, G., Lambert, L., Leach, O. A., Prömel, S., Punwani, D., Felce, J. H., Davis, S. J., Gold, R., Nielsen, F. C., Siegel, R. M., Mann, M., Bell, J. I., . . . Fugger, L. (2012). TNF receptor 1 genetic risk mirrors outcome of anti-TNF therapy in multiple sclerosis. Nature. https://doi.org/10.1038/nature11307

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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.