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Cited by 239

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

The Genetics of Multiple Sclerosis: From 0 to 200 in 50 Years

Open access
Baranzini, Sergio E., Oksenberg, Jorge R.·2017·Trends in Genetics

Abstract

Multiple sclerosis (MS) is a common autoimmune disease that targets myelin in the central nervous system (CNS). Multiple GWAS in the last 10 years have uncovered more than 200 loci that independently contribute to disease pathogenesis. As with many other complex diseases, risk to MS is driven by multiple common variants whose biological effects are not immediately clear. This review will present a historical perspective on the progress made on MS genetics and discuss current work geared towards creating a more complete model that accurately represents the genetic landscape of MS susceptibility. Such a model necessarily includes a better understanding of the individual contributions of each common variant to the cellular phenotypes, and interactions with other genes and with the environment. Future genetic studies in MS will likely focus on the role of rare variants and endophenotypes.

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Metadata

Authors
Baranzini, S. E., & Oksenberg, J. R.
Venue
Trends in Genetics
Publisher
Elsevier BV
Published
2017-12
Volume
33
Issue
12
Pages
960-970
ISSN
0168-9525 (ISSN-L)
OpenAlex
W2763147694
Cited by
239
References
19
FWCI
5.37
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The Genetics of Multiple Sclerosis: From 0 to 200 in 50 Years. https://app.cochat.ai/papers/10.1016/j.tig.2017.09.004
The paper
Baranzini, S. E., & Oksenberg, J. R. (2017). The Genetics of Multiple Sclerosis: From 0 to 200 in 50 Years. Trends in Genetics. https://doi.org/10.1016/j.tig.2017.09.004

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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.