Fst statistical method for evaluating KIF1B gene rs17401966 polymorphism and heterogeneity source of hepatocellular carcinoma risk meta-analysis
10.3969/j.issn.1673-4130.2016.23.005
- VernacularTitle:Fst统计法评估KIF1B 基因 rs17401966多态性与肝细胞癌风险 M eta分析的异质性来源
- Author:
Mingkuan SU
;
Jianfeng GUO
;
Hongbin CHEN
;
Jiancheng HUANG
;
- Keywords:
heterogeneity;
polymorphism;
meta-analysis;
genetic differentiation;
hepatocellular carcinoma
- From:
International Journal of Laboratory Medicine
2016;37(23):3252-3254,3257
- CountryChina
- Language:Chinese
-
Abstract:
Objective To adopt Fst statistical method to assess the heterogeneity sources of meta‐analysis by dichotomous varia‐ble .Methods The case‐control studies on the relationship between KIF1B gene rs17401966 polymorphism and hepatocellular carci‐noma(HCC) risk were collected by retrieving the databases including Google Scholar ,EMBASE ,PubMed ,ISI Web of Knowledge and CNKI .The meta analysis was performed by using the Stata12 .0 software .The genetic differentiation degree among populations was analyzed and researched by using the Arlequin 3 .5 software .Results A total of 5 case‐control studies were finally included ,in‐volving 12 research populations .The meta analysis on 12 populations showed that KIF1B gene rs17401966G allele was negatively correlated with HCC risk (OR=0 .77 ,95% CI:0 .65-0 .93 ;P=0 .005) .However ,the strong heterogeneity existed in this pooled re‐sults .The genetic differentiation test in the included 12 populations found that Zhang′s five research populations had varying de‐grees of genetic differentiation compared to other populations .Then the proper subgroup analysis was further conducted based on Fst value ,and then the I2 value of the heterogeneity test in the group 8 and 9 was descended to less than 25% .However ,the meta analysis results of the group 8 and 9 were inconsistent .Conclusion This study showed that conducting the meta‐analysis of KIF1B gene rs17401966 polymorphism and the HCC risk can find the heterogeneity sources of meta‐analysis by conducting the genetic dif‐ferentiation test in the included population .