Title :
Meta-analysis of association between SLC30A8 rs13266634 and T2DM in Chinese population
Author :
Qin Huang ; Minghua Dong ; Shumei Li ; Qin Wu
Author_Institution :
Dept. of Emergency, Gannan Med. Coll., Ganzhou, China
Abstract :
We use Stata software to perform a meta-analysis for evaluating the relationship between rs13266634 polymorphism in Solute carrier family 30member8(SLC30A8) and type2 diabetes mellitus(T2DM). Through the Stata software, we calculated the combined effect and checked the publication bias. A total of 13 studies matched with the inclusion criteria are collected, including 11923 T2DM cases and 14702 control cases. The total OR(95%CI) was calculated and the publication bias was assessed with funnel plots and Egger method. Heterogeneity test show statistically significant heterogeneity between studies (Q=26.72, P=0.008), the different of frequency distribution of allele gene of SLC30A8 rs13266634(C/T) in case and control group was statistically significant; the frequency distribution of C-allele in case group is outstanding higher than control group. Total OR (95%CI) is 1.21 (1.14, 1.28), P=0.005; the risk of T2DM with CC genotype carrier is 1.57 times than TT gene type, OR (95%CI) is 1.57 (1.26, 1.95), P=0.005; the frequency of CT and TT genotype carrier has no significant difference, Publication bias analysis and sensitive analysis show that the results of Meta-analysis is stable and reliable. Our meta-analysis show the association between C-allele of SLC30A8 rs13266634 polymorphism and Chinese T2DM is related, CC genotype may be the risk gene of Chinese T2DM.
Keywords :
diseases; genetics; genomics; medical computing; meta data; polymorphism; 11923 T2DM; C-allele; CT genotype carrier frequency; Chinese T2DM; Chinese population; Egger method; SLC30A8 rs13266634 polymorphism; Solute carrier family 30member8; Stata software; TT genotype carrier frequency; allele gene; frequency distribution; funnel plot; heterogeneity test; inclusion criteria; metaanalysis; publication bias analysis; sensitive analysis; type2 diabetes mellitus; Chinese population; Genetic Polymorphism; Meta-analysis; SLC30A8rsl3266634; STATA; type 2 Diabetes mellkus;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2012 5th International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-1183-0
DOI :
10.1109/BMEI.2012.6513186