High-density genetic mapping identifies new susceptibility loci for rheumatoid arthritis

Steve Eyre, John Bowes, Dorothée Diogo, Annette Lee, Anne Barton, Paul Martin, Alexandra Zhernakova, Eli Stahl, Sebastien Viatte, Kate McAllister, Christopher I. Amos, Leonid Padyukov, Rene E M Toes, Tom W J Huizinga, Cisca Wijmenga, Gosia Trynka, Lude Franke, Harm Jan Westra, Lars Alfredsson, Xinli HuCynthia Sandor, Paul I W De Bakker, Sonia Davila, Chiea Chuen Khor, Khai Koon Heng, Robert Andrews, Sarah Edkins, Sarah E. Hunt, Cordelia Langford, Deborah Symmons, Biologics in Rheumatoid Arthritis Genetics and Genomics Consortium, Wellcome Trust Case Control Consortium, Pat Concannon, Suna Onengut-Gumuscu, Stephen S. Rich, Panos Deloukas, Miguel A. Gonzalez-Gay, Luis Rodriguez-Rodriguez, Lisbeth Ärlsetig, Javier Martin, Solbritt Rantapää-Dahlqvist, Robert M. Plenge, Soumya Raychaudhuri, Lars Klareskog, Peter K. Gregersen, Jane Worthington

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Using the Immunochip custom SNP array, which was designed for dense genotyping of 186 loci identified through genome-wide association studies (GWAS), we analyzed 11,475 individuals with rheumatoid arthritis (cases) of European ancestry and 15,870 controls for 129,464 markers. We combined these data in a meta-analysis with GWAS data from additional independent cases (n = 2,363) and controls (n = 17,872). We identified 14 new susceptibility loci, 9 of which were associated with rheumatoid arthritis overall and five of which were specifically associated with disease that was positive for anticitrullinated peptide antibodies, bringing the number of confirmed rheumatoid arthritis risk loci in individuals of European ancestry to 46. We refined the peak of association to a single gene for 19 loci, identified secondary independent effects at 6 loci and identified association to low-frequency variants at 4 loci. Bioinformatic analyses generated strong hypotheses for the causal SNP at seven loci. This study illustrates the advantages of dense SNP mapping analysis to inform subsequent functional investigations. © 2012 Nature America, Inc. All rights reserved.
    Original languageEnglish
    Pages (from-to)1336-1340
    Number of pages4
    JournalNature Genetics
    Volume44
    Issue number12
    DOIs
    Publication statusPublished - Dec 2012

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