Wei Fan1, Zhongying Huang1, Shangwei Li1, Zhun Xiao2. 1. Department of Obstetrics and Gynecology, The West China Second University Hospital, University of Sichuan, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, 20 Renmin Nanlu Road, Chengdu, 610041, People's Republic of China. 2. Department of Obstetrics and Gynecology, The West China Second University Hospital, University of Sichuan, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, 20 Renmin Nanlu Road, Chengdu, 610041, People's Republic of China. xiaozhunart@163.com.
Abstract
PURPOSE: The human leucocyte antigen-G (HLA-G) 14-bp insertion/deletion polymorphism was implicated in recurrent implantation failure (RIF), but individual published studies showed inconclusive results. Thus, a meta-analysis was performed to clarify the effect of HLA-G 14-bp polymorphism on RIF risk. METHODS: A comprehensive search for relevant articles was conducted. The odds ratios (ORs) and 95% confidence intervals (CIs) for HLA-G 14-bp polymorphism and RIF were calculated. RESULTS: A total of five studies were included. In studies conducted in RIF patients and controls who had at least one spontaneous pregnancy, meta-analysis revealed no statistically significant association between the HLA-G 14-bp polymorphism and RIF in allele contrast and all genetic models in the overall population, but significant association was found in the population of Caucasian origin under allele contrast (OR = 1.73, 95% CI, 1.20, 2.50) and genetic models of +14 bp/+14 bp vs. -14 bp/-14 bp (OR = 3.09, 95% CI, 1.43, 6.65). In studies conducted in RIF patients and controls who had successful pregnancy following IVF-ET, the meta-analysis showed that there was statistically significant association between the HLA-G 14 bp polymorphism and RIF in allele contrast (OR = 1.74, 95% CI, 1.13, 2.67) and genetic models of +14 bp/+14 bp vs. -14 bp/-14 bp (OR = 10.20, 95% CI, 2.47, 42.14) and dominant model (OR = 4.34, 95% CI, 1.72, 10.92). No publication bias was found in the present studies. CONCLUSIONS: This meta-analysis suggested that the HLA-G 14-bp insertion allele may increase the risk of RIF in Caucasians. Further studies with large sample size of different ethnic populations are necessary.
PURPOSE: The human leucocyte antigen-G (HLA-G) 14-bp insertion/deletion polymorphism was implicated in recurrent implantation failure (RIF), but individual published studies showed inconclusive results. Thus, a meta-analysis was performed to clarify the effect of HLA-G 14-bp polymorphism on RIF risk. METHODS: A comprehensive search for relevant articles was conducted. The odds ratios (ORs) and 95% confidence intervals (CIs) for HLA-G 14-bp polymorphism and RIF were calculated. RESULTS: A total of five studies were included. In studies conducted in RIF patients and controls who had at least one spontaneous pregnancy, meta-analysis revealed no statistically significant association between the HLA-G 14-bp polymorphism and RIF in allele contrast and all genetic models in the overall population, but significant association was found in the population of Caucasian origin under allele contrast (OR = 1.73, 95% CI, 1.20, 2.50) and genetic models of +14 bp/+14 bp vs. -14 bp/-14 bp (OR = 3.09, 95% CI, 1.43, 6.65). In studies conducted in RIF patients and controls who had successful pregnancy following IVF-ET, the meta-analysis showed that there was statistically significant association between the HLA-G 14 bp polymorphism and RIF in allele contrast (OR = 1.74, 95% CI, 1.13, 2.67) and genetic models of +14 bp/+14 bp vs. -14 bp/-14 bp (OR = 10.20, 95% CI, 2.47, 42.14) and dominant model (OR = 4.34, 95% CI, 1.72, 10.92). No publication bias was found in the present studies. CONCLUSIONS: This meta-analysis suggested that the HLA-G 14-bp insertion allele may increase the risk of RIF in Caucasians. Further studies with large sample size of different ethnic populations are necessary.
Authors: Edward E Winger; Jane L Reed; Sherif Ashoush; Tarek El-Toukhy; Sapha Ahuja; Mohamed Taranissi Journal: Am J Reprod Immunol Date: 2011-01-12 Impact factor: 3.886
Authors: Izabela Nowak; Karolina Wilczyńska; Paweł Radwan; Andrzej Wiśniewski; Rafał Krasiński; Michał Radwan; Jacek R Wilczyński; Andrzej Malinowski; Piotr Kuśnierczyk Journal: Front Immunol Date: 2020-01-14 Impact factor: 7.561