Literature DB >> 28739605

Genetic variation in the gene LRP2 increases relapse risk in multiple sclerosis.

Yuan Zhou1, Jennifer S Graves2, Steve Simpson1,3, Jac C Charlesworth1, Ingrid van der Mei1, Emmanuelle Waubant2, Lisa F Barcellos4, Anita Belman5, Lauren Krupp6, Robyn Lucas7, Anne-Louise Ponsonby8, Bruce V Taylor1.   

Abstract

BACKGROUND: Due to the lack of prospective studies with longitudinal data on relapse, past genetic studies have not attempted to identify genetic factors that predict relapse risk (the primary endpoint of many pivotal clinical trials testing the efficacy of multiple sclerosis (MS) disease-modifying drugs) at a genome-wide scale.
METHODS: We conducted a genome-wide association analysis (GWAS) to identify genetic variants that predict MS relapse risk, using a three-stage approach. First, GWAS was conducted using the southern Tasmania MS Longitudinal Study with 141 cases followed prospectively for a mean of 2.3 years. Second, GWAS was conducted using the Ausimmune Longitudinal Study with 127 cases having a classic first demyelinating event followed for 5 years from onset. Third, the top hits with p<5.0×10-6 from the first two stages were combined with a longitudinal US paediatric MS cohort with 181 cases followed for 5 years after onset. Predictors of time to relapse were evaluated by a mixed effects Cox model. An inverse variance fixed effects model was then used to undertake a meta-analysis.
RESULTS: In the pooled results, using these three unique longitudinal MS cohorts, we discovered one novel locus (LRP2; most significant single nucleotide polymorphism rs12988804) that reached genome-wide significance in predicting relapse risk (HR=2.18, p=3.30×10-8). LRP2 is expressed on the surface of many central nervous system cells including neurons and oligodendrocytes and is a critical receptor in axonal guidance.
CONCLUSIONS: The finding of a genetic locus that has extensive effects on neuronal development and repair is of interest as a potential modulator of MS disease course. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  CNS; LRP2; disease progression; multiple sclerosis; relapse risk

Mesh:

Substances:

Year:  2017        PMID: 28739605     DOI: 10.1136/jnnp-2017-315971

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


  7 in total

Review 1.  Genotype and Phenotype in Multiple Sclerosis-Potential for Disease Course Prediction?

Authors:  Vilija G Jokubaitis; Yuan Zhou; Helmut Butzkueven; Bruce V Taylor
Journal:  Curr Treat Options Neurol       Date:  2018-04-24       Impact factor: 3.598

Review 2.  Genetics and functional genomics of multiple sclerosis.

Authors:  Woori Kim; Nikolaos A Patsopoulos
Journal:  Semin Immunopathol       Date:  2022-01-12       Impact factor: 9.623

Review 3.  Towards a global view of multiple sclerosis genetics.

Authors:  Huw R Morris; Ruth Dobson; Benjamin Meir Jacobs; Michelle Peter; Gavin Giovannoni; Alastair J Noyce
Journal:  Nat Rev Neurol       Date:  2022-09-08       Impact factor: 44.711

4.  Genetic Variation in WNT9B Increases Relapse Hazard in Multiple Sclerosis.

Authors:  Marijne Vandebergh; Till F M Andlauer; Yuan Zhou; Klara Mallants; Friederike Held; Lilian Aly; Bruce V Taylor; Bernhard Hemmer; Bénédicte Dubois; An Goris
Journal:  Ann Neurol       Date:  2021-03-24       Impact factor: 11.274

Review 5.  Genomic Effects of the Vitamin D Receptor: Potentially the Link between Vitamin D, Immune Cells, and Multiple Sclerosis.

Authors:  Ming Lu; Bruce V Taylor; Heinrich Körner
Journal:  Front Immunol       Date:  2018-03-12       Impact factor: 7.561

6.  Exonic variants of genes related to the vitamin D signaling pathway in the families of familial multiple sclerosis using whole-exome next generation sequencing.

Authors:  Vanesa Pytel; Jordi A Matías-Guiu; Laura Torre-Fuentes; Paloma Montero-Escribano; Paolo Maietta; Javier Botet; Sara Álvarez; Ulises Gómez-Pinedo; Jorge Matías-Guiu
Journal:  Brain Behav       Date:  2019-03-21       Impact factor: 2.708

Review 7.  Environmental and genetic risk factors for MS: an integrated review.

Authors:  Emmanuelle Waubant; Robyn Lucas; Ellen Mowry; Jennifer Graves; Tomas Olsson; Lars Alfredsson; Annette Langer-Gould
Journal:  Ann Clin Transl Neurol       Date:  2019-08-07       Impact factor: 4.511

  7 in total

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