{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,11]],"date-time":"2026-09-11T17:49:20Z","timestamp":1789148960781,"version":"build-2803163510"},"reference-count":9,"publisher":"Springer Science and Business Media LLC","issue":"1","funder":[{"DOI":"10.13039\/501100001505","name":"Health Research Council of New Zealand","doi-asserted-by":"publisher","award":["14-527"],"award-info":[{"award-number":["14-527"]}],"id":[{"id":"10.13039\/501100001505","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Arthritis Res Ther"],"published-print":{"date-parts":[[2017,12]]},"DOI":"10.1186\/s13075-017-1390-1","type":"journal-article","created":{"date-parts":[[2017,8,9]],"date-time":"2017-08-09T05:14:52Z","timestamp":1502255692000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":61,"title":["Performance of gout definitions for genetic epidemiological studies: analysis of UK Biobank"],"prefix":"10.1186","volume":"19","author":[{"given":"Murray","family":"Cadzow","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tony R.","family":"Merriman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicola","family":"Dalbeth","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2017,8,9]]},"reference":[{"issue":"2","key":"1390_CR1","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1038\/ng.2500","volume":"45","author":"A K\u00f6ttgen","year":"2013","unstructured":"K\u00f6ttgen A, Albrecht E, Teumer A, Vitart V, Krumsiek J, Hundertmark C, et al. Genome-wide association analyses identify 18 new loci associated with serum urate concentrations. Nat Genet. 2013;45(2):145\u201354.","journal-title":"Nat Genet"},{"issue":"9360","key":"1390_CR2","doi-asserted-by":"crossref","first-page":"865","DOI":"10.1016\/S0140-6736(03)12715-8","volume":"361","author":"HM Colhoun","year":"2003","unstructured":"Colhoun HM, McKeigue PM, Davey SG. Problems of reporting genetic associations with complex outcomes. Lancet. 2003;361(9360):865\u201372.","journal-title":"Lancet"},{"issue":"12","key":"1390_CR3","doi-asserted-by":"crossref","first-page":"1894","DOI":"10.1002\/acr.22896","volume":"68","author":"N Dalbeth","year":"2016","unstructured":"Dalbeth N, Schumacher HR, Fransen J, Neogi T, Jansen TL, Brown M, et al. Survey definitions of gout for epidemiological studies: comparison with crystal identification as the gold standard. Arthritis Care Res (Hoboken). 2016;68(12):1894\u20138.","journal-title":"Arthritis Care Res (Hoboken)"},{"issue":"6","key":"1390_CR4","doi-asserted-by":"crossref","first-page":"639","DOI":"10.2217\/14622416.6.6.639","volume":"6","author":"W Ollier","year":"2005","unstructured":"Ollier W, Sprosen T, Peakman T. UK Biobank: from concept to reality. Pharmacogenomics. 2005;6(6):639\u201346.","journal-title":"Pharmacogenomics"},{"issue":"5","key":"1390_CR5","doi-asserted-by":"crossref","first-page":"901","DOI":"10.1093\/rheumatology\/ker361","volume":"51","author":"D Winnard","year":"2012","unstructured":"Winnard D, Wright C, Taylor WJ, Jackson G, Te Karu L, Gow PJ, et al. National prevalence of gout derived from administrative health data in Aotearoa New Zealand. Rheumatology (Oxford). 2012;51(5):901\u20139.","journal-title":"Rheumatology (Oxford)"},{"key":"1390_CR6","unstructured":"Dean AG, Sullivan KM, Soe MM. OpenEpi: open source epidemiologic statistics for public health. Version 3.01 [updated 6 Apr 2013]. \nhttp:\/\/www.OpenEpi.com\n\n."},{"issue":"1","key":"1390_CR7","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1016\/j.ajhg.2010.11.011","volume":"88","author":"J Yang","year":"2011","unstructured":"Yang J, Lee SH, Goddard ME, Visscher PM. GCTA: a tool for genome-wide complex trait analysis. Am J Hum Genet. 2011;88(1):76\u201382.","journal-title":"Am J Hum Genet"},{"key":"1390_CR8","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1186\/s13742-015-0047-8","volume":"4","author":"CC Chang","year":"2015","unstructured":"Chang CC, Chow CC, Tellier LC, Vattikuti S, Purcell SM, Lee JJ. Second-generation PLINK: rising to the challenge of larger and richer datasets. Gigascience. 2015;4:7.","journal-title":"Gigascience"},{"issue":"10","key":"1390_CR9","doi-asserted-by":"crossref","first-page":"2492","DOI":"10.1038\/nprot.2007.366","volume":"2","author":"KT Zondervan","year":"2007","unstructured":"Zondervan KT, Cardon LR. Designing candidate gene and genome-wide case-control association studies. Nat Protoc. 2007;2(10):2492\u2013501.","journal-title":"Nat Protoc"}],"container-title":["Arthritis Research &amp; Therapy"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13075-017-1390-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,5,18]],"date-time":"2018-05-18T11:39:55Z","timestamp":1526643595000},"score":1,"resource":{"primary":{"URL":"http:\/\/arthritis-research.biomedcentral.com\/articles\/10.1186\/s13075-017-1390-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,9]]},"references-count":9,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2017,12]]}},"alternative-id":["1390"],"URL":"https:\/\/doi.org\/10.1186\/s13075-017-1390-1","relation":{},"ISSN":["1478-6362"],"issn-type":[{"value":"1478-6362","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,8,9]]},"article-number":"181"}}