作者
Yusuke Kawamura,Hirofumi Nakaoka,Akiyoshi Nakayama,Yukinori Okada,Ken Yamamoto,Toshihide Higashino,Masayuki Sakiyama,Toru Shimizu,Hiroshi Oda,Keiko Ooyama,Mitsuo Nagase,Yoshiki Hidaka,Yuko Shirahama,Kazuyoshi Hosomichi,Yuichiro Nishida,Ippei Shimoshikiryo,Asahi Hishida,Sakurako Katsuura‐Kamano,Seiko Shimizu,Makoto Kikuchi,Hirokazu Uemura,Rie Ibusuki,Megumi Hara,Mariko Naito,Takao Mitsui,Masakazu Nakajima,Satoko Iwasawa,Hiroshi Nakashima,Keizo Ohnaka,Takahiro Nakamura,Blanka Stibůrková,Tony R. Merriman,Masahiro Nakatochi,Sahoko Ichihara,Mitsuhiro Yokota,Tappei Takada,Tatsuya Saitoh,Yoichiro Kamatani,Atsushi Takahashi,Kokichi Arisawa,Toshiro Takezaki,Keitaro Tanaka,Kenji Wakai,Michiaki Kubo,Tatsuo Hosoya,Kimiyoshi Ichida,Ituro Inoue,Nariyoshi Shinomiya,Yusuke Kawamura
摘要
Objective The first ever genome-wide association study (GWAS) of clinically defined gout cases and asymptomatic hyperuricaemia (AHUA) controls was performed to identify novel gout loci that aggravate AHUA into gout. Methods We carried out a GWAS of 945 clinically defined gout cases and 1003 AHUA controls followed by 2 replication studies. In total, 2860 gout cases and 3149 AHUA controls (all Japanese men) were analysed. We also compared the ORs for each locus in the present GWAS (gout vs AHUA) with those in the previous GWAS (gout vs normouricaemia). Results This new approach enabled us to identify two novel gout loci (rs7927466 of CNTN5 and rs9952962 of MIR302F ) and one suggestive locus (rs12980365 of ZNF724 ) at the genome-wide significance level (p<5.0×10 – 8 ). The present study also identified the loci of ABCG2 , ALDH2 and SLC2A9 . One of them, rs671 of ALDH2 , was identified as a gout locus by GWAS for the first time. Comparing ORs for each locus in the present versus the previous GWAS revealed three ‘gout vs AHUA GWAS’-specific loci ( CNTN5 , MIR302F and ZNF724 ) to be clearly associated with mechanisms of gout development which distinctly differ from the known gout risk loci that basically elevate serum uric acid level. Conclusions This meta-analysis is the first to reveal the loci associated with crystal-induced inflammation, the last step in gout development that aggravates AHUA into gout. Our findings should help to elucidate the molecular mechanisms of gout development and assist the prevention of gout attacks in high-risk AHUA individuals.