Literature DB >> 24001206

The replication of the association of the rs9355610 within 6p27 with Graves' disease.

Yoshiyuki Ban1, Teruaki Tozaki, Matsuo Taniyama.   

Abstract

The etiology of the autoimmune thyroid diseases (AITDs), Graves' disease (GD) and Hashimoto's thyroiditis (HT) is largely unknown. However, genetic susceptibility is believed to play a major role. Recently, Chu et al. conducted a genome-wide association study in a Chinese Han population and identified two novel GD susceptibility loci within 4p14 (rs6832151) and 6q27 (rs9355610). The objective of the study was to replicate these associations in a Japanese population. We analyzed rs6832151 and rs9355610 genotypes in a case-control study based on 457 Japanese AITD patients (286 GD and 171 HT patients) and 222 matched Japanese controls using the high-resolution melting and unlabeled probe methods. Case-control association studies were performed using the c² and Fisher's exact tests with Yates correction. We found a significant allelic association between AITD and rs9355610 located in 6q27 (p = 0.023). GD was significantly associated with this SNP (p = 0.0055), while HT showed no significant associations with any SNPs. Moreover, when patients with GD were stratified according to Graves' ophthalmopathy (GO), there were no allelic associations with GO. These findings suggest the presence of AITD susceptibilty genes, especially in distinct subgroups of GD, in or near 6q27.

Entities:  

Mesh:

Year:  2013        PMID: 24001206     DOI: 10.3109/08916934.2013.780600

Source DB:  PubMed          Journal:  Autoimmunity        ISSN: 0891-6934            Impact factor:   2.815


  3 in total

1.  RNASET2 tag SNP but not CCR6 polymorphisms is associated with autoimmune thyroid diseases in the Chinese Han population.

Authors:  Xiao-jun Chen; Xiao-hua Gong; Ni Yan; Shuai Meng; Qiu Qin; Yan-Fei Jiang; Hai-Yan Zheng; Jin-an Zhang
Journal:  BMC Med Genet       Date:  2015-02-26       Impact factor: 2.103

2.  Association of 4p14 and 6q27 variation with Graves disease: a case-control study and a meta-analysis of available evidence.

Authors:  Fa-Mei Li; Lin Liu; Li-Nan Pang; Min Shen; Hong-Wen Lu; Xiao-Hong Zhang; Xun Chu; Zhen-Ju Song
Journal:  BMC Med Genet       Date:  2017-05-18       Impact factor: 2.103

3.  Cross-sectional analysis of BioBank Japan clinical data: A large cohort of 200,000 patients with 47 common diseases.

Authors:  Makoto Hirata; Yoichiro Kamatani; Akiko Nagai; Yutaka Kiyohara; Toshiharu Ninomiya; Akiko Tamakoshi; Zentaro Yamagata; Michiaki Kubo; Kaori Muto; Taisei Mushiroda; Yoshinori Murakami; Koichiro Yuji; Yoichi Furukawa; Hitoshi Zembutsu; Toshihiro Tanaka; Yozo Ohnishi; Yusuke Nakamura; Koichi Matsuda
Journal:  J Epidemiol       Date:  2017-02-09       Impact factor: 3.211

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.