Literature DB >> 24289837

Decoding multiple sclerosis: an update on genomics and future directions.

Jorge R Oksenberg1.   

Abstract

A wealth of data confirms that genetic variation is an important determinant of multiple sclerosis (MS) risk. Population, family and molecular studies provide strong empirical support for a polygenic model of inheritance, driven primarily by allelic variants relatively common in the general population. The major histocompatibility complex (MHC) in chromosome 6p21.3 represents by far the strongest MS susceptibility locus genome-wide and was unambiguously identified in all studied populations. The primary signal arises from the HLA-DRB1 gene in the Class II segment of the locus, with hierarchical allelic and haplotypic effects. Independent protective signals in the telomeric Class I region of the locus have been described as well. Over the last 6 years, large multicenter DNA collections have thrived and the development of new laboratory and analytical approaches has matured at a remarkable pace, allowing pursuit of comprehensive 'agnostic' genome-wide association studies to identify and characterise the non-MHC genetic component of MS. Taken together, the results have provided unambiguous evidence for the association of over 100 non-MHC loci with disease susceptibility. Follow-up experiments refined some of the association signals (IL2RA and CD58), identified gene-gene interactions (HLA-DRB1/EVI5) and revealed mechanistic insights into the functional consequences of the identified gene variants, most notably an increase in the soluble to membrane-bound ratio for IL-7, IL-2 and TNF receptors and a tyrosine-protein kinase 2-mediated immune deviation. These results significantly broaden our understanding of disease pathogenesis and permit, for the first time, modeling an individual's disease risk within the context of his or her familial history. Progress in identifying additional risk alleles is likely to be rapid in the near future. Although the effect of any given predisposing variant is modest, the possibility exists that multifaceted gene-gene and/or gene-environment interactions could substantially increase the contribution of some variants to the overall genetic risk. In addition, susceptibility genes may be subject to epigenetic modifications, which greatly increase the complexity of MS inheritance. Despite these remarkable advances, the knowledge of MS genetics remains incomplete. For example, a key but unresolved question is whether genetic variants influence disease trajectory. Ongoing efforts to fully characterize the repertoire of genes that predispose to MS and modulate its presentation is discussed. Functional characterization of even a moderate genetic effect on MS pathogenesis by a known gene or group of genes can assist in elucidating fundamental mechanisms of disease expression and yield important therapeutic opportunities.

Entities:  

Mesh:

Year:  2013        PMID: 24289837     DOI: 10.1586/14737175.2013.865867

Source DB:  PubMed          Journal:  Expert Rev Neurother        ISSN: 1473-7175            Impact factor:   4.618


  24 in total

1.  A non-synonymous single-nucleotide polymorphism associated with multiple sclerosis risk affects the EVI5 interactome.

Authors:  Alessandro Didonna; Noriko Isobe; Stacy J Caillier; Kathy H Li; Alma L Burlingame; Stephen L Hauser; Sergio E Baranzini; Nikolaos A Patsopoulos; Jorge R Oksenberg
Journal:  Hum Mol Genet       Date:  2015-10-03       Impact factor: 6.150

Review 2.  Polymorphisms in miRNA genes and their involvement in autoimmune diseases susceptibility.

Authors:  Andrea Latini; Cinzia Ciccacci; Giuseppe Novelli; Paola Borgiani
Journal:  Immunol Res       Date:  2017-08       Impact factor: 2.829

3.  Hereditary diffuse leukoencephalopathy with spheroids with phenotype of primary progressive multiple sclerosis.

Authors:  Christina Sundal; Matt Baker; Rosa Rademakers; Oluf Andersen; Virginija Karrenbauer; Marte Gustavsen; Sahl Bedri; Anna Glaser; Kjell-Morten Myhr; Kristoffer Haugarvoll; Henrik Zetterberg; Hanne Harbo; Ingrid Kockum; Jan Hillert; Zbigniew Wszolek
Journal:  Eur J Neurol       Date:  2014-10-13       Impact factor: 6.089

4.  Analysis of miRNA in Normal Appearing White Matter to Identify Altered CNS Pathways in Multiple Sclerosis.

Authors:  Mireia Guerau-de-Arellano; Yue Liu; Walter H Meisen; David Pitt; Michael K Racke; Amy E Lovett-Racke
Journal:  J Autoimmune Disord       Date:  2015

Review 5.  A Comprehensive Review on the Role of the Gut Microbiome in Human Neurological Disorders.

Authors:  Shokufeh Ghasemian Sorboni; Hanieh Shakeri Moghaddam; Reza Jafarzadeh-Esfehani; Saman Soleimanpour
Journal:  Clin Microbiol Rev       Date:  2022-01-05       Impact factor: 26.132

Review 6.  A review of genome-wide association studies for multiple sclerosis: classical and hypothesis-driven approaches.

Authors:  V V Bashinskaya; O G Kulakova; A N Boyko; A V Favorov; O O Favorova
Journal:  Hum Genet       Date:  2015-09-25       Impact factor: 4.132

Review 7.  Vitamin D and Genetic Susceptibility to Multiple Sclerosis.

Authors:  Concetta Scazzone; Luisa Agnello; Giulia Bivona; Bruna Lo Sasso; Marcello Ciaccio
Journal:  Biochem Genet       Date:  2020-11-07       Impact factor: 1.890

8.  Experimental autoimmune encephalomyelitis development is aggravated by Candida albicans infection.

Authors:  Thais F C Fraga-Silva; Luiza A N Mimura; Camila M Marchetti; Fernanda Chiuso-Minicucci; Thais G D França; Sofia F G Zorzella-Pezavento; James Venturini; Maria S P Arruda; Alexandrina Sartori
Journal:  J Immunol Res       Date:  2015-04-19       Impact factor: 4.818

9.  Variants of MicroRNA Genes: Gender-Specific Associations with Multiple Sclerosis Risk and Severity.

Authors:  Ivan Kiselev; Vitalina Bashinskaya; Olga Kulakova; Natalia Baulina; Ekaterina Popova; Alexey Boyko; Olga Favorova
Journal:  Int J Mol Sci       Date:  2015-08-24       Impact factor: 5.923

10.  HLA-DRB1*14 is a protective allele for multiple sclerosis in an admixed Colombian population.

Authors:  Jaime Toro; David Cuellar-Giraldo; Camilo Díaz-Cruz; Lisseth-Estefania Burbano; Claudia-Marcela Guío; Saúl Reyes; Fabián Cortes; Simón Cárdenas-Robledo; Diana M Narváez; Wilmer Cárdenas; Alexandra Porras; María-Claudia Lattig; Helena Groot de Restrepo
Journal:  Neurol Neuroimmunol Neuroinflamm       Date:  2015-12-24
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.