Literature DB >> 23261300

Rare, low-frequency, and common variants in the protein-coding sequence of biological candidate genes from GWASs contribute to risk of rheumatoid arthritis.

Dorothée Diogo1, Fina Kurreeman, Eli A Stahl, Katherine P Liao, Namrata Gupta, Jeffrey D Greenberg, Manuel A Rivas, Brendan Hickey, Jason Flannick, Brian Thomson, Candace Guiducci, Stephan Ripke, Ivan Adzhubey, Anne Barton, Joel M Kremer, Lars Alfredsson, Shamil Sunyaev, Javier Martin, Alexandra Zhernakova, John Bowes, Steve Eyre, Katherine A Siminovitch, Peter K Gregersen, Jane Worthington, Lars Klareskog, Leonid Padyukov, Soumya Raychaudhuri, Robert M Plenge.   

Abstract

The extent to which variants in the protein-coding sequence of genes contribute to risk of rheumatoid arthritis (RA) is unknown. In this study, we addressed this issue by deep exon sequencing and large-scale genotyping of 25 biological candidate genes located within RA risk loci discovered by genome-wide association studies (GWASs). First, we assessed the contribution of rare coding variants in the 25 genes to the risk of RA in a pooled sequencing study of 500 RA cases and 650 controls of European ancestry. We observed an accumulation of rare nonsynonymous variants exclusive to RA cases in IL2RA and IL2RB (burden test: p = 0.007 and p = 0.018, respectively). Next, we assessed the aggregate contribution of low-frequency and common coding variants to the risk of RA by dense genotyping of the 25 gene loci in 10,609 RA cases and 35,605 controls. We observed a strong enrichment of coding variants with a nominal signal of association with RA (p < 0.05) after adjusting for the best signal of association at the loci (p(enrichment) = 6.4 × 10(-4)). For one locus containing CD2, we found that a missense variant, rs699738 (c.798C>A [p.His266Gln]), and a noncoding variant, rs624988, reside on distinct haplotypes and independently contribute to the risk of RA (p = 4.6 × 10(-6)). Overall, our results indicate that variants (distributed across the allele-frequency spectrum) within the protein-coding portion of a subset of biological candidate genes identified by GWASs contribute to the risk of RA. Further, we have demonstrated that very large sample sizes will be required for comprehensively identifying the independent alleles contributing to the missing heritability of RA.
Copyright © 2013 The American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23261300      PMCID: PMC3542467          DOI: 10.1016/j.ajhg.2012.11.012

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  56 in total

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