The DOI matches its Crossref record; 115 of the 115 references it cites were found in a registry or an index.
Multiple sclerosis genetics
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Citations
Cites
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
A method and server for predicting damaging missense mutations.
Adzhubei, I. A., Schmidt, S., Peshkin, L., Ramensky, V. E., Gerasimova, A., Bork, P., Kondrashov, A. S., & Sunyaev, S. R. (2010) · Nature Methods · doi:10.1038/nmeth0410-248 · Cited by 13,194
A map of human genome variation from population-scale sequencing.
The 1000 Genomes Project Consortium (2010) · Nature · doi:10.1038/nature09534 · Cited by 7,877
The environment and disease: association or causation?
Hill, A. B. (2015) · Journal of the Royal Society of Medicine · doi:10.1177/0141076814562718 · Cited by 7,285
The Environment and Disease: Association or Causation?
Hill, A. B. (1965) · Proceedings of the Royal Society of Medicine · doi:10.1177/003591576505800503 · Cited by 6,974
The Future of Genetic Studies of Complex Human Diseases
Risch, N., & Merikangas, K. (1996) · Science · doi:10.1126/science.273.5281.1516 · Cited by 5,355
Common SNPs explain a large proportion of the heritability for human height
Yang, J., Benyamin, B., McEvoy, B. P., Gordon, S., Henders, A. K., Nyholt, D. R., Madden, P. A., Heath, A. C., Martin, N. G., Montgomery, G. W., et al. (2010) · Nature Genetics · doi:10.1038/ng.608 · Cited by 4,446
Compston, A., & Coles, A. (2008) · The Lancet · doi:10.1016/s0140-6736(08)61620-7 · Cited by 4,372
Sick individuals and sick populations
Rose, G. (2001) · International Journal of Epidemiology · doi:10.1093/ije/30.3.427 · Cited by 3,736
Genome-wide association studies for complex traits: consensus, uncertainty and challenges
McCarthy, M. I., Abecasis, G. R., Cardon, L. R., Goldstein, D. B., Little, J., Ioannidis, J. P. A., & Hirschhorn, J. N. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2344 · Cited by 2,891
Cited by
Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility
International Multiple Sclerosis Genetics Consortium, Patsopoulos, N. A., Baranzini, S. E., Santaniello, A., Shoostari, P., Cotsapas, C., Wong, G., Beecham, A. H., James, T., Replogle, J., et al. (2019) · Science · doi:10.1126/science.aav7188 · Cited by 1,471
“Although the exact amount of MS’s heritability varies given the data and method used, (36-38) we report that our findings can explain up to 48% of the heritability that can be estimated using large-scale GWAS data.”
MethodSelf-citationMultiple Sclerosis: Mechanisms and Immunotherapy
Baecher-Allan, C., Kaskow, B. J., & Weiner, H. L. (2018) · Neuron · doi:10.1016/j.neuron.2018.01.021 · Cited by 938
Berer, K., Gerdes, L. A., Cekanaviciute, E., Jia, X., Xiao, L., Xia, Z., Liu, C., Klotz, L., Stauffer, U., Baranzini, S. E., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1711233114 · Cited by 933
Obesity in autoimmune diseases: Not a passive bystander
Versini, M., Jeandel, P.-Y., Rosenthal, E., & Shoenfeld, Y. (2014) · Autoimmunity Reviews · doi:10.1016/j.autrev.2014.07.001 · Cited by 694
Epidemiology of multiple sclerosis
Leray, E., Moreau, T., Fromont, A., & Edan, G. (2016) · Revue Neurologique · doi:10.1016/j.neurol.2015.10.006 · Cited by 478
Metadata
- Authors
- Sawcer, S., Franklin, R. J. M., & Ban, M.
- Venue
- The Lancet Neurology
- Publisher
- Elsevier BV
- Published
- 2014-07
- Volume
- 13
- Issue
- 7
- Pages
- 700-709
- ISSN
- 1474-4422 (ISSN-L)
- OpenAlex
- W2132646449
- Cited by
- 401
- References
- 115
- FWCI
- 34.46
- Type
- journal article
- Language
- en
- Open access
- closed
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Multiple sclerosis genetics. https://app.cochat.ai/papers/10.1016/s1474-4422(14)70041-9
- The paper
- Sawcer, S., Franklin, R. J. M., & Ban, M. (2014). Multiple sclerosis genetics. The Lancet Neurology. https://doi.org/10.1016/s1474-4422(14)70041-9
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.
