Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis

Ashley H Beecham, Nikolaos A Patsopoulos, Dionysia K Xifara, Mary F Davis, Anu Kemppinen, Chris Cotsapas, Tejas S Shah, Chris Spencer, David Booth, An Goris, Annette Oturai, Janna Saarela, Bertrand Fontaine, Bernhard Hemmer, Claes Martin, Frauke Zipp, Sandra D'Alfonso, Filippo Martinelli-Boneschi, Bruce Taylor, Hanne F HarboIngrid Kockum, Jan Hillert, Tomas Olsson, Maria Ban, Jorge R Oksenberg, Rogier Hintzen, Lisa F Barcellos, Cristina Agliardi, Lars Alfredsson, Mehdi Alizadeh, Carl Anderson, Robert Andrews, Helle Bach Søndergaard, Amie Baker, Gavin Band, Sergio E Baranzini, Nadia Barizzone, Jeffrey Barrett, Céline Bellenguez, Laura Bergamaschi, Luisa Bernardinelli, Achim Berthele, Viola Biberacher, Thomas M C Binder, Hannah Blackburn, Izaura L Bomfim, Paola Brambilla, Simon Broadley, Bruno Brochet, John Zajicek, International Multiple Sclerosis Genetics Consortium (IMSGC)

Research output: Contribution to journalArticlepeer-review

1073 Citations (Scopus)

Abstract

Using the ImmunoChip custom genotyping array, we analyzed 14,498 subjects with multiple sclerosis and 24,091 healthy controls for 161,311 autosomal variants and identified 135 potentially associated regions (P < 1.0 × 10(-4)). In a replication phase, we combined these data with previous genome-wide association study (GWAS) data from an independent 14,802 subjects with multiple sclerosis and 26,703 healthy controls. In these 80,094 individuals of European ancestry, we identified 48 new susceptibility variants (P < 5.0 × 10(-8)), 3 of which we found after conditioning on previously identified variants. Thus, there are now 110 established multiple sclerosis risk variants at 103 discrete loci outside of the major histocompatibility complex. With high-resolution Bayesian fine mapping, we identified five regions where one variant accounted for more than 50% of the posterior probability of association. This study enhances the catalog of multiple sclerosis risk variants and illustrates the value of fine mapping in the resolution of GWAS signals.

Original languageEnglish
Pages (from-to)1353-60
Number of pages8
JournalNature Genetics
Volume45
Issue number11
DOIs
Publication statusPublished - Nov 2013

Keywords

  • Chromosome Mapping
  • European Continental Ancestry Group
  • Gene Frequency
  • Genetic Loci
  • Genetic Predisposition to Disease
  • Genetic Variation
  • Genome-Wide Association Study
  • Genotype
  • Humans
  • Multiple Sclerosis
  • Polymorphism, Single Nucleotide

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