Literature DB >> 26475045

Genome-wide significant association with seven novel multiple sclerosis risk loci.

Christina M Lill1, Felix Luessi2, Antonio Alcina3, Ekaterina A Sokolova4, Nerea Ugidos5, Belén de la Hera6, Léna Guillot-Noël7, Sunny Malhotra8, Eva Reinthaler9, Brit-Maren M Schjeide10, Julia Y Mescheriakova11, Andriy Mashychev12, Inken Wohlers12, Denis A Akkad13, Orhan Aktas14, Iraide Alloza15, Alfredo Antigüedad16, Rafa Arroyo17, Ianire Astobiza5, Paul Blaschke18, Alexei N Boyko19, Mathias Buttmann20, Andrew Chan21, Thomas Dörner22, Joerg T Epplen23, Olga O Favorova24, Maria Fedetz3, Oscar Fernández25, Angel García-Martínez6, Lisa-Ann Gerdes26, Christiane Graetz2, Hans-Peter Hartung14, Sabine Hoffjan13, Guillermo Izquierdo27, Denis S Korobko28, Antje Kroner29, Christian Kubisch30, Tania Kümpfel26, Laura Leyva25, Peter Lohse31, Nadezhda A Malkova32, Xavier Montalban8, Ekaterina V Popova19, Peter Rieckmann33, Alexei S Rozhdestvenskii34, Christiane Schmied9, Inna V Smagina35, Ekaterina Y Tsareva24, Alexander Winkelmann18, Uwe K Zettl18, Harald Binder36, Isabelle Cournu-Rebeix7, Rogier Hintzen11, Alexander Zimprich9, Manuel Comabella8, Bertrand Fontaine37, Elena Urcelay6, Koen Vandenbroeck15, Maxim Filipenko4, Fuencisla Matesanz3, Frauke Zipp2, Lars Bertram38.   

Abstract

OBJECTIVE: A recent large-scale study in multiple sclerosis (MS) using the ImmunoChip platform reported on 11 loci that showed suggestive genetic association with MS. Additional data in sufficiently sized and independent data sets are needed to assess whether these loci represent genuine MS risk factors.
METHODS: The lead SNPs of all 11 loci were genotyped in 10 796 MS cases and 10 793 controls from Germany, Spain, France, the Netherlands, Austria and Russia, that were independent from the previously reported cohorts. Association analyses were performed using logistic regression based on an additive model. Summary effect size estimates were calculated using fixed-effect meta-analysis.
RESULTS: Seven of the 11 tested SNPs showed significant association with MS susceptibility in the 21 589 individuals analysed here. Meta-analysis across our and previously published MS case-control data (total sample size n=101 683) revealed novel genome-wide significant association with MS susceptibility (p<5×10(-8)) for all seven variants. This included SNPs in or near LOC100506457 (rs1534422, p=4.03×10(-12)), CD28 (rs6435203, p=1.35×10(-9)), LPP (rs4686953, p=3.35×10(-8)), ETS1 (rs3809006, p=7.74×10(-9)), DLEU1 (rs806349, p=8.14×10(-12)), LPIN3 (rs6072343, p=7.16×10(-12)) and IFNGR2 (rs9808753, p=4.40×10(-10)). Cis expression quantitative locus effects were observed in silico for rs6435203 on CD28 and for rs9808753 on several immunologically relevant genes in the IFNGR2 locus.
CONCLUSIONS: This study adds seven loci to the list of genuine MS genetic risk factors and further extends the list of established loci shared across autoimmune diseases. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Entities:  

Keywords:  Genetics; Immunology (including allergy); Multiple sclerosis; Neurology

Mesh:

Year:  2015        PMID: 26475045     DOI: 10.1136/jmedgenet-2015-103442

Source DB:  PubMed          Journal:  J Med Genet        ISSN: 0022-2593            Impact factor:   6.318


  20 in total

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Authors:  Lee Ann Garrett-Sinha; Alyssa Kearly; Anne B Satterthwaite
Journal:  Crit Rev Immunol       Date:  2016       Impact factor: 2.214

2.  Ets1 suppresses atopic dermatitis by suppressing pathogenic T cell responses.

Authors:  Choong-Gu Lee; Ho-Keun Kwon; Hyeji Kang; Young Kim; Jong Hee Nam; Young Ho Won; Sunhee Park; Taemook Kim; Keunsoo Kang; Dipayan Rudra; Chang-Duk Jun; Zee Yong Park; Sin-Hyeog Im
Journal:  JCI Insight       Date:  2019-03-07

3.  Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility.

Authors: 
Journal:  Science       Date:  2019-09-27       Impact factor: 47.728

4.  Integrated single-cell transcriptomics and epigenomics reveals strong germinal center-associated etiology of autoimmune risk loci.

Authors:  Hamish W King; Kristen L Wells; Zohar Shipony; Arwa S Kathiria; Lisa E Wagar; Caleb Lareau; Nara Orban; Robson Capasso; Mark M Davis; Lars M Steinmetz; Louisa K James; William J Greenleaf
Journal:  Sci Immunol       Date:  2021-10-08

Review 5.  Dendritic cells as therapeutic targets in neuroinflammation.

Authors:  Felix Luessi; Frauke Zipp; Esther Witsch
Journal:  Cell Mol Life Sci       Date:  2016-03-12       Impact factor: 9.261

Review 6.  Paediatric Multiple Sclerosis: Update on Diagnostic Criteria, Imaging, Histopathology and Treatment Choices.

Authors:  I-Jun Chou; Huei-Shyong Wang; William P Whitehouse; Cris S Constantinescu
Journal:  Curr Neurol Neurosci Rep       Date:  2016-07       Impact factor: 5.081

7.  Identifying characteristic miRNAs-genes and risk pathways of multiple sclerosis based on bioinformatics analysis.

Authors:  Deling Luo; Jin Fu
Journal:  Oncotarget       Date:  2018-01-02

8.  Novel multiple sclerosis susceptibility loci implicated in epigenetic regulation.

Authors:  Till F M Andlauer; Dorothea Buck; Gisela Antony; Antonios Bayas; Lukas Bechmann; Achim Berthele; Andrew Chan; Christiane Gasperi; Ralf Gold; Christiane Graetz; Jürgen Haas; Michael Hecker; Carmen Infante-Duarte; Matthias Knop; Tania Kümpfel; Volker Limmroth; Ralf A Linker; Verena Loleit; Felix Luessi; Sven G Meuth; Mark Mühlau; Sandra Nischwitz; Friedemann Paul; Michael Pütz; Tobias Ruck; Anke Salmen; Martin Stangel; Jan-Patrick Stellmann; Klarissa H Stürner; Björn Tackenberg; Florian Then Bergh; Hayrettin Tumani; Clemens Warnke; Frank Weber; Heinz Wiendl; Brigitte Wildemann; Uwe K Zettl; Ulf Ziemann; Frauke Zipp; Janine Arloth; Peter Weber; Milena Radivojkov-Blagojevic; Markus O Scheinhardt; Theresa Dankowski; Thomas Bettecken; Peter Lichtner; Darina Czamara; Tania Carrillo-Roa; Elisabeth B Binder; Klaus Berger; Lars Bertram; Andre Franke; Christian Gieger; Stefan Herms; Georg Homuth; Marcus Ising; Karl-Heinz Jöckel; Tim Kacprowski; Stefan Kloiber; Matthias Laudes; Wolfgang Lieb; Christina M Lill; Susanne Lucae; Thomas Meitinger; Susanne Moebus; Martina Müller-Nurasyid; Markus M Nöthen; Astrid Petersmann; Rajesh Rawal; Ulf Schminke; Konstantin Strauch; Henry Völzke; Melanie Waldenberger; Jürgen Wellmann; Eleonora Porcu; Antonella Mulas; Maristella Pitzalis; Carlo Sidore; Ilenia Zara; Francesco Cucca; Magdalena Zoledziewska; Andreas Ziegler; Bernhard Hemmer; Bertram Müller-Myhsok
Journal:  Sci Adv       Date:  2016-06-17       Impact factor: 14.136

9.  Association of EVI5 rs11808092, CD58 rs2300747, and CIITA rs3087456 polymorphisms with multiple sclerosis risk: A meta-analysis.

Authors:  Jiahe Liu; Xu Liu; Yong Liu; Shimin Deng; Hongbin Huang; Qicong Chen; Weidong Liu; Zunnan Huang
Journal:  Meta Gene       Date:  2016-04-25

10.  A splice variant in the ACSL5 gene relates migraine with fatty acid activation in mitochondria.

Authors:  Fuencisla Matesanz; María Fedetz; Cristina Barrionuevo; Mohamad Karaky; Antonio Catalá-Rabasa; Victor Potenciano; Raquel Bello-Morales; Jose-Antonio López-Guerrero; Antonio Alcina
Journal:  Eur J Hum Genet       Date:  2016-05-18       Impact factor: 4.246

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