Association between Single-nucleotide Polymorphisms of RXRG and Genetic Susceptibility to Type 2 Diabetes in South China

单核苷酸多态性 单倍型 等位基因 基因型 遗传学 生物 遗传模型 2型糖尿病 等位基因频率 遗传倾向 糖尿病 基因 多态性(计算机科学) 内分泌学
作者
Haibing Yu,Shu Wang,Wei Hu,Lin Xu,Yuanlin Ding,Danli Kong,Haiyan Pan
出处
期刊:Current Molecular Medicine [Bentham Science]
卷期号:20 (6): 408-414 被引量:6
标识
DOI:10.2174/1566524020666191206163951
摘要

Objective: To investigate the relationship between genetic polymorphisms of RXRG rs1467664, rs3753898 and the genetic susceptibility of type 2 diabetes in the Chinese Han population from South China. Methods: In our case-control study, single-nucleotide polymorphisms (SNPs) rs1467664 and rs3753898 were genotyped by SNPscanTM kit in 1092 patients with T2D as cases and 1092 normal persons as controls. The distributions of genotype and allele frequencies in two groups were analyzed by the SPSS 20.0 software. Results: The distribution of genotypes and alleles of RXRG rs3753898 was statistically significant between the two groups, but there was no significant difference in the distribution of genotypes and alleles of the rs1467664. Before and after the adjustment of age, sex and BMI, rs3753898 in the two groups had statistical significance under the additive, dominant and recessive models (P<0.05), but no statistical differences were found under the overdominance and co-dominant genetic models (P>0.05). There was no significant difference in the genetic models of rs1467664 between the two groups (P>0.05). The haplotype, which consists of rs1467664 allele T and rs3753898 allele A was a high-risk factor for T2D, OR=1.27, 95% CI (1.09-1.47), Padj=0.002. Conclusion: Our results showed that the single nucleotide polymorphism of RXRG rs3753898 may be related to genetic susceptibility of type 2 diabetes. The haplotype consisting of the allele T of rs1467664 and the allele A of rs3753898 is a risk factor for type 2 diabetes, suggesting that the genetic variation of RXRG gene may be the genetic cause of diabetes mellitus in the Chinese Han population.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
学术小透明完成签到,获得积分10
刚刚
潇洒代亦完成签到,获得积分10
刚刚
guandada完成签到,获得积分10
1秒前
领导范儿应助sdfer23采纳,获得10
1秒前
小小发布了新的文献求助10
2秒前
乐乐应助风清扬采纳,获得10
2秒前
寒冷凌瑶发布了新的文献求助10
2秒前
爆米花应助陶逸豪采纳,获得10
3秒前
ho应助xczhu采纳,获得10
4秒前
林深完成签到,获得积分10
5秒前
星辰大海应助weilao采纳,获得10
5秒前
傲娇芷容发布了新的文献求助10
5秒前
6秒前
王腾锐发布了新的文献求助10
7秒前
7秒前
7秒前
Wenyilong发布了新的文献求助10
8秒前
斯文败类应助Xangel采纳,获得10
9秒前
Cecilia_koala完成签到,获得积分10
9秒前
10秒前
王十三完成签到,获得积分10
10秒前
11秒前
11秒前
Tracy完成签到,获得积分10
12秒前
英姑应助jiqihao采纳,获得10
13秒前
13秒前
怕孤独的白竹完成签到,获得积分10
14秒前
Frank完成签到,获得积分10
14秒前
14秒前
16秒前
二九十二发布了新的文献求助10
16秒前
江觅松发布了新的文献求助30
16秒前
Jessica发布了新的文献求助10
18秒前
choiiianh发布了新的文献求助10
18秒前
FashionBoy应助wop111采纳,获得10
18秒前
LuoYR@SZU完成签到,获得积分10
18秒前
kk发布了新的文献求助10
18秒前
18秒前
独白完成签到 ,获得积分10
19秒前
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
HIGH DYNAMIC RANGE CMOS IMAGE SENSORS FOR LOW LIGHT APPLICATIONS 1500
Bandwidth Choice for Bias Estimators in Dynamic Nonlinear Panel Models 1000
Constitutional and Administrative Law 1000
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.). Frederic G. Reamer 800
Holistic Discourse Analysis 600
Vertébrés continentaux du Crétacé supérieur de Provence (Sud-Est de la France) 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5354986
求助须知:如何正确求助?哪些是违规求助? 4486944
关于积分的说明 13968439
捐赠科研通 4387716
什么是DOI,文献DOI怎么找? 2410452
邀请新用户注册赠送积分活动 1402979
关于科研通互助平台的介绍 1376705