Literature DB >> 28273768

Genetic susceptibility to multiple sclerosis: Brain structure and cognitive function in the general population.

Mohammad Arfan Ikram1, Meike W Vernooij2, Gennady V Roshchupkin3, Albert Hofman4, Cornelia M van Duijn5, André G Uitterlinden6, Wiro J Niessen7, Rogier Q Hintzen8, Hieab Hh Adams2.   

Abstract

BACKGROUND: Multiple sclerosis (MS) affects brain structure and cognitive function and has a heritable component. Over a 100 common genetic risk variants have been identified, but most carriers do not develop MS. For other neurodegenerative diseases, risk variants have effects outside patient populations, but this remains uninvestigated for MS.
OBJECTIVES: To study the effect of MS-associated genetic variants on brain structure and cognitive function in the general population.
METHODS: We studied middle-aged and elderly individuals (mean age = 65.7 years) from the population-based Rotterdam Study. We determined 107 MS variants and additionally created a risk score combining all variants. Magnetic resonance imaging ( N = 4710) was performed to obtain measures of brain macrostructure, white matter microstructure, and gray matter voxel-based morphometry. A cognitive test battery ( N = 7556) was used to test a variety of cognitive domains.
RESULTS: The MS risk score was associated with smaller gray matter volume over the whole brain (βstandardized = -0.016; p = 0.044), but region-specific analyses did not survive multiple testing correction. Similarly, no significant associations with brain structure were observed for individual variants. For cognition, rs2283792 was significantly associated with poorer memory (β = -0.064; p = 3.4 × 10-5).
CONCLUSION: Increased genetic susceptibility to MS may affect brain structure and cognition in persons without disease, pointing to a "hidden burden" of MS.

Entities:  

Keywords:  Epidemiology; genetics; magnetic resonance imaging; multiple sclerosis

Mesh:

Year:  2016        PMID: 28273768     DOI: 10.1177/1352458516682104

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  4 in total

1.  White matter microstructural differences in children and genetic risk for multiple sclerosis: A population-based study.

Authors:  C Louk de Mol; Rinze F Neuteboom; Philip R Jansen; Tonya White
Journal:  Mult Scler       Date:  2021-08-11       Impact factor: 5.855

2.  Response: No evidence for association between polygenic risk for multiple sclerosis and MRI phenotypes in approximately 30,000 healthy adult UK Biobank participants.

Authors:  C Louk de Mol; Rinze F Neuteboom; Philip R Jansen; Tonya White
Journal:  Mult Scler       Date:  2022-03-12       Impact factor: 5.855

3.  No evidence for association between polygenic risk of multiple sclerosis and MRI phenotypes in ~30,000 healthy adult UK Biobank participants.

Authors:  Benjamin Meir Jacobs; Cameron Watson; Charles Marshall; Alastair Noyce; Ruth Dobson
Journal:  Mult Scler       Date:  2022-03-16       Impact factor: 5.855

Review 4.  Epstein-Barr Virus in Multiple Sclerosis: Theory and Emerging Immunotherapies.

Authors:  Amit Bar-Or; Michael P Pender; Rajiv Khanna; Lawrence Steinman; Hans-Peter Hartung; Tap Maniar; Ed Croze; Blake T Aftab; Gavin Giovannoni; Manher A Joshi
Journal:  Trends Mol Med       Date:  2019-12-17       Impact factor: 11.951

  4 in total

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