Authors
Yukinori Okada, Di Wu, Gosia Trynka, Towfique Raj, Chikashi Terao, Katsunori Ikari, Yuta Kochi, Koichiro Ohmura, Akari Suzuki, Shinji Yoshida, Robert R Graham, Arun Manoharan, Ward Ortmann, Tushar Bhangale, Joshua C Denny, Robert J Carroll, Anne E Eyler, Jeffrey D Greenberg, Joel M Kremer, Dimitrios A Pappas, Lei Jiang, Jian Yin, Lingying Ye, Ding-Feng Su, Jian Yang, Gang Xie, Ed Keystone, Harm-Jan Westra, Tonu Esko, Andres Metspalu, Xuezhong Zhou, Namrata Gupta, Daniel Mirel, Eli A Stahl, Dorothée Diogo, Jing Cui, Katherine Liao, Michael H Guo, Keiko Myouzen, Takahisa Kawaguchi, Marieke JH Coenen, Piet LCM Van Riel, Mart AFJ Van De Laar, Henk-Jan Guchelaar, Tom WJ Huizinga, Philippe Dieudé, Xavier Mariette, Louis Bridges Jr, Alexandra Zhernakova, Rene EM Toes, Paul P Tak, Corinne Miceli-Richard, So-Young Bang, Hye-Soon Lee, Javier Martin, Miguel A Gonzalez-Gay, Luis Rodriguez-Rodriguez, Solbritt Rantapää-Dahlqvist, Lisbeth Ärlestig, Hyon K Choi, Yoichiro Kamatani, Pilar Galan, Mark Lathrop, Steve Eyre, John Bowes, Anne Barton, Niek De Vries, Larry W Moreland, Lindsey A Criswell, Elizabeth W Karlson, Atsuo Taniguchi, Ryo Yamada, Michiaki Kubo, Jun S Liu, Sang-Cheol Bae, Jane Worthington, Leonid Padyukov, Lars Klareskog, Peter K Gregersen, Soumya Raychaudhuri, Barbara E Stranger, Philip L De Jager, Lude Franke, Peter M Visscher, Matthew A Brown, Hisashi Yamanaka, Tsuneyo Mimori, Atsushi Takahashi, Huji Xu, Timothy W Behrens, Katherine A Siminovitch, Shigeki Momohara, Fumihiko Matsuda, Kazuhiko Yamamoto, Robert M Plenge
Publication date
2014/2
Journal
Nature
Volume
506
Issue
7488
Pages
376-381
Publisher
Nature Publishing Group
Description
A major challenge in human genetics is to devise a systematic strategy to integrate disease-associated variants with diverse genomic and biological data sets to provide insight into disease pathogenesis and guide drug discovery for complex traits such as rheumatoid arthritis (RA) 1. Here we performed a genome-wide association study meta-analysis in a total of> 100,000 subjects of European and Asian ancestries (29,880 RA cases and 73,758 controls), by evaluating∼ 10 million single-nucleotide polymorphisms. We discovered 42 novel RA risk loci at a genome-wide level of significance, bringing the total to 101 (refs 2, 3, 4). We devised an in silico pipeline using established bioinformatics methods based on functional annotation 5, cis-acting expression quantitative trait loci 6 and pathway analyses 7, 8, 9—as well as novel methods based on genetic overlap with human primary immunodeficiency …
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Scholar articles
Y Okada, D Wu, G Trynka, T Raj, C Terao, K Ikari… - Nature, 2014