Liu Yafei, Wang Chunxia, Chen Yafei, Yuan Zhongshang, Yu Tao, Zhang Wenchao, Tang Fang, Gu Jianhua, Xu Qinqin, Chi Xiaotong, Ding Lijie, Xue Fuzhong, Zhang Chengqi
Division of Biostatistics, School of Public Health, Shandong University, 44 Wenhua Xilu, Jinan, 250010, Shandong, China.
Shandong Provincial Qianfoshan Hospital, Shandong University, 16766 Jingshi Rd, Jinan, 250014, China.
BMC Med Genet. 2018 Aug 29;19(1):153. doi: 10.1186/s12881-018-0652-3.
Previous studies have reported that the potassium voltage-gated channel subfamily Q member 1 (KCNQ1) gene is associated with diabetes in both European and Asian population. This study aims to find a predictable single nucleotide polymorphism (SNP) to predict the risk of metabolic syndrome (MetS) through investigating the association of SNP in KCNQ1 gene with MetS in Han Chinese women of northern urban area.
Six SNPs were selected and genotyped in 1381 unrelated women aged 21 and above, who have had physical check-up in Shandong Provincial Qianfoshan Hospital. Cox proportional model was conducted to access the association between SNPs and MetS.
Sixty one women developed MetS between 2010 and 2015 during the 3055 person-year of follow-up. The cumulative incidence density was 19.964/1000 person-year. The SNP rs163182 was associated with MetS both in the additive genetic model (RR = 1.658, 95% CI: 1.144-2.402) and in the recessive genetic model (RR = 2.461, 95% CI: 1.347-4.496). It remained significant after adjustment. This relationship was also observed in MetS components (BMI and SBP).
A novel association between rs163182 and MetS was found in this study, which can predict the occurrence of MetS among northern urban Han Chinese women. More investigations are needed to be done to assess the possible pathway in which KCNQ1 gene affects MetS.
既往研究报道，钾离子电压门控通道Q亚家族成员1（KCNQ1）基因在欧洲和亚洲人群中均与糖尿病相关。本研究旨在通过调查KCNQ1基因单核苷酸多态性（SNP）与中国北方城市汉族女性代谢综合征（MetS）的关联，寻找一个可预测MetS风险的SNP。
选取6个SNP，对在山东省千佛山医院进行体检的1381名2l岁及以上无血缘关系的女性进行基因分型。采用Cox比例模型评估SNP与MetS之间的关联。
在3055人年的随访期间，2010年至2015年有61名女性发生MetS。累积发病密度为19.964/1000人年。SNP rs163182在加性遗传模型（RR = 1.658，95%CI：1.144 - 2.402）和隐性遗传模型（RR = 2.461，95%CI：1.347 - 4.496）中均与MetS相关。校正后仍具有显著性。在MetS组分（BMI和SBP）中也观察到这种关系。
本研究发现rs163182与MetS之间存在新的关联，可预测中国北方城市汉族女性MetS的发生。需要进一步开展更多研究以评估KCNQ1基因影响MetS的可能途径。
