Influence of FOXP3 gene polymorphisms on the risk of preeclampsia: a meta‐analysis and a bioinformatic approach

Author(s):  
Mohammad Karimian ◽  
Saeedeh Ghazaey Zidanloo ◽  
Danial Jahantigh
2019 ◽  
Vol 39 (3) ◽  
Author(s):  
Yan Chen ◽  
Xiaoxue Qi ◽  
Ce Bian ◽  
Chen Ling ◽  
Tao Yi ◽  
...  

Abstract The role of forkhead box P3 (FOXP3) protein in tumorigenesis has long been controversial and existing data on the association between FOXP3 gene polymorphisms and cancer susceptibility were inconsistent. Here, we conducted a meta-analysis to better clarify the relationship. A comprehensive search of studies published from July 2008 to June 2018 was conducted. The statistical analyses of the pooled odds ratios (ORs) and the corresponding 95% confidence intervals (95% CIs) were performed using the Revman 5.2 software. A total of 12 articles with 19 case–control studies and 10389 participants were included. Three FOXP3 polymorphisms and six cancer types were evaluated. While no significant results were observed in overall and breast cancer groups for rs3761548 (A/C) polymorphisms, the pooled data showed an elevated risk of cancer in variant AA genotypes and A allele for Chinese population (AA vs. AC+CC: OR = 1.61, 95% CI = 1.09, 2.39; AA vs. CC: OR = 1.74, 95% CI = 1.05, 2.89; A vs. C: OR = 1.34, 95% CI = 1.00, 1.78). Neither the overall group analyses nor the subgroup analyses stratified by cancer type and ethnicity proposed any significant association of rs2280883 (C/T) and rs3761549 (T/C) polymorphisms with cancer susceptibility. This meta-analysis suggested that FOXP3 rs3761548 (A/C) polymorphisms were associated with increased cancer risk in Chinese population while rs2280883 (C/T) and rs3761549 (T/C) polymorphisms were not. More large-sample researches with diverse ethnicities and cancer types are needed to draw a concrete conclusion.


2021 ◽  
Vol 27 ◽  
Author(s):  
Manni Sun ◽  
Hui Jiang ◽  
Tao Meng ◽  
Peiyan Liu ◽  
Haiying Chen

2018 ◽  
Vol Volume 11 ◽  
pp. 665-675 ◽  
Author(s):  
Lina Tang ◽  
Chunling Zhang ◽  
Hairong He ◽  
Zhenyu Pan ◽  
Di Fan ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Liang Zhang ◽  
Xin Yin ◽  
Jingcheng Wang ◽  
Daolinag Xu ◽  
Yongxiang Wang ◽  
...  

Editor's Note: this Article has been retracted; the Retraction Note is available at https://doi.org/10.1038/s41598-021-88654-1.


2021 ◽  
pp. 1-11
Author(s):  
Mahdiyeh Harati-Sadegh ◽  
Saman Sargazi ◽  
Milad Khorasani ◽  
Alireza Ansari-Moghaddam ◽  
Shekoufeh Mirinejad ◽  
...  

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Xiao-Ning Zhao ◽  
Quan Sun ◽  
You-Qin Cao ◽  
Xiao Ran ◽  
Yu Cao

Abstract Background Hyperlipidemia plays an important role in the etiology of cardio-cerebrovascular disease. Over recent years, a number of studies have explored the impact of apolipoprotein genetic polymorphisms in hyperlipidemia, but considerable differences and uncertainty have been found in their association with different populations from different regions. Results A total of 59 articles were included, containing in total 13,843 hyperlipidemia patients in the case group and 15,398 healthy controls in the control group. Meta-analysis of the data indicated that APOA5–1131 T > C, APOA1 -75 bp, APOB XbaI, and APOE gene polymorphisms were significantly associated with hyperlipidemia, with OR values of 1.996, 1.228, 1.444, and 1.710, respectively. All P-values were less than 0.05. Conclusions Meta-analysis of the data indicated that the C allele of APOA5 1131 T > C, the A allele at APOA1-75 bp, the APOB XbaI T allele, and the ε2 and ε4 allele of APOE were each a risk factor for susceptibility for hyperlipidemia.


Sign in / Sign up

Export Citation Format

Share Document