Abstract
Objective:
We conducted a meta-analysis to investigate the associations of methionine synthase (MTR) A2756G, methionine synthase reductase (MTRR) A66G, and transcobalamin 2 (TCN2) C776G gene polymorphisms with nonsyndromic cleft lip with or without cleft palate (NSCL/P).
Materials and Methods:
The PubMed, Web of Science, Embase, and Wiley Online Library databases and the China Biomedical Literature Service System (SinoMed) were searched for relevant articles to explore the associations between the MTR A2756G, MTRR A66G, and TCN2 C776G polymorphisms and the risk of NSCL/P. We performed overall comparisons and stratified analyses according to the ethnicity, type of NSCL/P, and Hardy-Weinberg equilibrium (HWE) of the control group. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were applied to estimate the associations of these gene polymorphisms with NSCL/P risk using fixed-effects or random-effects models incorporating five genetic models.
Results:
Ultimately, 12 articles were included in this study. The pooled results did not reveal a significant association of the MTR A2756G polymorphism with NSCL/P risk (G vs. A: OR = 0.95, 95% CI = 0.82-1.11, p = 0.55). Similar results were observed for the MTRR A66G polymorphism (G vs. A: OR = 0.99, 95% CI = 0.82-1.18, p = 0.72) and the TCN2 C776G polymorphism (G vs. C: OR = 0.95, 95% CI = 0.86-1.06, p = 0.37).
Conclusion:
In summary, the MTR A2756G, MTRR A66G, and TCN2 C776G polymorphisms might not be associated with NSCL/P risk.
Introduction
N
Folic acid plays an important role in one-carbon metabolism in DNA methylation and in the synthesis of nucleotides and amino acids, which is necessary for chromatin dynamics and subsequent gene expression (de Arruda et al., 2013). Previous studies have reported that folic acid supplementation decreased the risk of NSCL/P during early pregnancy (Rouget et al., 2005; Wehby et al., 2010, 2012). It is widely believed that the occurrence of NSCL/P is related not only to folic acid deficiency (Prescott and Malcolm, 2002) but also to hyperhomocysteinemia (Hcy) caused by a genetic defect in the folate metabolism pathway (Bhaskar et al., 2011). Evidence shows that Hcy is associated with a high risk of NSCL/P incidence (Wong et al., 1999). Folic acid metabolism is a complex process that requires certain key enzymes, such as methylenetetrahydrofolate reductase (MTHFR), methionine synthase (MTR), methionine synthase reductase (MTRR), and transcobalamin 2 (TCN2) (Martinelli et al., 2006; Pan et al., 2012; Murthy et al., 2015; Wang et al., 2016).
MTR, which is encoded by the MTR gene on chromosome 1q43 (Leclerc et al., 1996), is also called methionine synthase and catalyses the remethylation of homocysteine to form methionine. A common polymorphism, the A2756G transition of the MTR gene, results in the conversion of an aspartic acid residue to a glycine residue in the MTR enzyme (Leclerc et al., 1996; Chen et al., 1997). Li et al. (1996) reported that the A2756G polymorphism in the MTR gene led to a reduction in enzyme activity and caused increased concentration of plasma homocysteine. The MTRR gene is located on chromosome 5p15.2-15.3 and has a length of 32021 kb (Olteanu et al., 2001). This gene encodes MTRR, which promotes methylcobalamin regeneration and maintains MTR activation. MTRR A66G is a common polymorphism in the MTRR gene that converts isoleucine to methionine (66 A→G) at codon 22 (Bhaskar et al., 2011). The G allele produces an enzyme with less affinity for methionine synthase (Han et al., 2012). The TCN2 gene is located on chromosome 22q12.2, and its translated product is a plasma protein that transfers vitamin B12 into cells (Carmel, 2002; Herrmann et al., 2003). The C776G genetic variant in TCN2 results in the substitution of proline for arginine at codon 259 (Namour et al., 2001). A result of the C776G polymorphism in the TCN2 gene is a decrease in the transcription and cellular and plasma concentrations of transcobalamin (Gueant et al., 2007).
Given that the MTR, MTRR, and TCN2 genes play a significant role in folate/homocysteine metabolism and methionine synthesis, these three common polymorphisms (MTR A2756G, MTRR A66G, and TCN2 C776G) cause increased levels of plasma homocysteine. To date, a considerable number of studies have assessed the associations of the MTR A2756G, MTRR A66G, and TCN2 C776G polymorphisms with NSCL/P risk, but their conclusions have been contradictory. Therefore, we conducted the present meta-analysis to perform a more accurate assessment of the associations between these three single nucleotide polymorphisms (SNPs) and NSCL/P risk.
Materials and Methods
Search strategy
We performed a systemic literature search in PubMed, Embase, Wiley Online Library, Web of Science, and the China Biomedical Literature Service System (SinoMed), updated on August 31, 2017, to screen for relevant articles. The following search terms were used: “methionine synthase,” “MTR,” “MTR A2756G,” “rs1805087,” “MTRR,” “methionine synthase reductase,” “MTRR A66G,” “rs1801394,” “TCN2,” “transcobalamin II,” “TCN2 C776G,” “rs1801198,” “gene polymorphism,” “cleft lip and palate,” “oral clefts,” “nonsyndromic cleft lip with or without palate,” and “NSCL/P.” Additionally, the reference lists of relevant articles were checked to identify additional potentially relevant publications. We limited the publication language to English and Chinese. Any differences of opinion between the two investigators were resolved through discussions with two other reviewers (Y.W. and G.F.).
Inclusion and exclusion criteria
The inclusion criteria for the eligible studies were as follows: (1) studies focused on the association between the MTR A2756G, MTRR A66G, or TCN2 C776G polymorphism and the risk of NSCL/P; (2) case-control studies; (3) the availability of adequate data to calculate odds ratios (ORs), 95% confidence intervals (CIs), and p-values; and (4) a publication language of English or Chinese. We eliminated studies that met the following exclusion criteria: (1) non-case-control studies; (2) duplicate studies; and (3) reviews, editorials, and other non-original studies.
Data extraction
The available data were independently extracted from all eligible publications by two reviewers (W.L. and Y.X.) using a predetermined strategy. The following items were collected: publication year, the surname of the first author, ethnicity, country, NSCL/P type, source of controls, numbers of cases and controls, genotyping method, and p-value for Hardy-Weinberg equilibrium (HWE) of the control group.
Methodological quality evaluation
Two investigators (W.L. and Y.X.) independently estimated the quality of the eligible studies using the Newcastle-Ottawa Scale (NOS) criteria, which are recommended for studies estimating the quality of case-control studies. Differences were resolved by consultation with the other two reviewers (Y.W. and G.F.). The NOS criteria include the following three aspects: (1) population selection, (2) comparability of subjects, and (3) measurement of exposure factors. The NOS scores range from 0 to 9. A study was considered high quality if the score was ≥5, whereas a study with a score of <5 was defined as having inferior quality.
Statistical analysis
The p-values for HWE of the control groups in the eligible articles were calculated using the chi-squared test to estimate the quality of the case-control studies. Genotype distributions were considered to deviate from HWE when the p-value was <0.05. The associations of the MTR A2756G, MTRR A66G, and TCN2 C776G polymorphisms with the risk of NSCL/P were assessed using ORs and 95% CIs. The significance of the pooled ORs was detected using the Z test, and a p-value of <0.05 was considered statistically significant. We assessed the association of these three SNPs with NSCL/P risk using the following five genetic models: the allele contrast model (A1 vs. A2), recessive genetic model (A1A1 vs. A2A2/A1A2), dominant genetic model (A1A2/A1A1 vs. A2A2), homozygous genetic model (A1A1 vs. A2A2), and heterozygous genetic model (A1A2 vs. A2A2). In addition, we conducted stratified analyses based on ethnicity, NSCL/P type, and HWE of the control group. Cochran's Q-statistic and the I2 test were used to detect heterogeneity among the included publications. If the Q-test showed a p > 0.05 or I2 < 50%, indicating low heterogeneity, a fixed-effects model was used. Otherwise, a random-effects model was applied. Furthermore, Begg's funnel plot and Egger's linear regression test were used to assess publication bias. A sensitivity analysis was conducted to detect the effect of each separate study on the pooled OR by successively removing each eligible study. All statistical analyses were conducted using RevMan 5.3 software (Cochrane Collaboration) and STATA software 12.0 (STATA Corp., College Station, TX).
Results
Study characteristics
Initially, 523 publications were identified in the electronic database search. Based on the inclusion and exclusion criteria, 19 articles were identified after the titles and abstracts were scanned. However, four articles were discarded because of unavailable data, and three studies were excluded as non-case-control studies after the full text was read. Thus, 12 articles were ultimately included in this meta-analysis (Martinelli et al., 2006; Brandalize et al., 2007; Mostowska et al., 2010; Hu, 2011; Wang and Nan, 2011; Yuan and Nan, 2013; Aşlar and Hakkı, 2014; Bezerra et al., 2015; Jin et al., 2015; Murthy et al., 2015; Waltrick-Zambuzzi et al., 2015; Wang et al., 2016). Among these 12 studies, 8 articles focused on the MTR A2756G polymorphism, 7 articles on the MTRR A66G polymorphism, and 5 articles on the TCN2 C776G polymorphism. The detailed process used to retrieve the relevant publications is shown in Figure 1. The main characteristics, including the surname of the first author, publication year, country, ethnicity, NSCL/P type, source of controls, genotyping method, numbers of cases and controls, and p-value for HWE of the control group, are presented in Table 1. The estimation of the quality of the included articles is shown in Table 2.

Flow diagram for literature selection.
CLO, cleft lip only; CL/P, cleft lip with or without palate; CLP, cleft lip and palate; CPO, cleft palate only; HB, hospital based; HWE, Hardy-Weinberg equilibrium; M-TMS, MALDI-TOF mass spectrometry; NA, not available; PB, population based; PCR, polymerase chain reaction; RFLP, restriction fragment length polymorphism.
Quantitative data synthesis
Eight studies including 1127 patients and 1168 controls were identified to evaluate the association between the MTR A2756G polymorphism and NSCL/P risk. In the overall comparison, there was no statistically significant evidence of an association of this SNP with NSCL/P risk in any of the genetic models (G vs. A: OR = 0.95, 95% CI = 0.82-1.11, I2 = 47%, p = 0.55; Fig. 2); the other pooled results are shown in Table 3. Similarly, in subgroup analyses based on ethnicity, type of NSCL/P, and HWE of the control group, the MTR A2756G polymorphism was not significantly associated with the risk of NSCL/P (Table 3).

Forest plot of association between the MTR A2756G polymorphism and NSCL/P risk in allelic model (G vs. A). NSCL/P, nonsyndromic cleft lip with or without cleft palate.
OR, odds ratio; 95% CI, 95% confidence interval; p, p-value for test of association; I2, a measure of heterogeneity expressed in %; NSCL/P, nonsyndromic cleft lip with or without cleft palate.
Seven studies of 1149 patients with NSCL/P and 1247 controls were included to assess the association between the MTRR A66G polymorphism and NSCL/P risk. Overall, we failed to observe any significant association of this SNP with NSCL/P risk using five genetic models (G vs. A: OR = 0.99, 95% CI = 0.82-1.18, I2 = 52%, p = 0.72; Fig. 3); the pooled results from the remaining four genetic models are shown in Table 4. Additionally, the results of the stratified analysis based on ethnicity, type of NSCL/P, and HWE of the control group did not reveal any association of this SNP with NSCL/P risk (Table 4). Statistical heterogeneity was detected in the overall comparison using three genetic models (allele contrast model: I2 = 52%; dominant model: I2 = 80%; heterozygous genetic model: I2 = 86%; Table 4); however, this heterogeneity was eliminated after excluding the study by Wang et al. (2016), which indicates that the heterogeneity originated from this study.

Forest plot of association between the MTRR A66G polymorphism and NSCL/P risk in allelic model (G vs. A).
p, p-value for test of association; I2, a measure of heterogeneity expressed in %.
We identified five studies including 1274 patients with NSCL/P and 1555 controls to investigate the association between the TCN2 C776G polymorphism and NSCL/P risk. We did not observe an obvious association of this SNP with NSCL/P risk using the five genetic models (G vs. C: OR = 0.95, 95% CI = 0.86-1.06, I2 = 36%, p = 0.37; Fig. 4); the pooled results from the remaining four genetic models are shown in Table 5. In addition, the outcome of the stratified analysis based on ethnicity clearly showed that this SNP was not significantly associated with NSCL/P risk (Table 5).

Forest plot of association between the TCN2 C776G polymorphism and NSCL/P risk in allelic model (G vs. C).
p, p-value for test of association; I2, a measure of heterogeneity expressed in %.
Sensitivity analysis
We performed sensitivity analyses to detect the impact of each study on the pooled estimates by sequentially omitting the eligible studies. The significance of the pooled ORs was not affected by excluding any eligible article. Therefore, we obtained stable and credible results from the present meta-analysis (Supplementary Figs. S1-S3; Supplementary Data are available online at www-liebertpub-com.web.bisu.edu.cn/gtmb).
Publication bias
In our study, Begg's funnel plots suggested symmetric distributions (Supplementary Figs. S4-S6), and we did not detect notable publication bias for these three SNPs in any genetic model (Table 6), with one exception: slight publication bias was observed for MTRR A66G in the recessive effect model (Egger's test, p = 0.045). All p-values from Begg's test and Egger's test are shown in detail in Table 6.
Discussion
To the best of our knowledge, this meta-analysis represents the first comprehensive investigation of possible associations between the MTR/MTRR/TCN2 variants and NSCL/P risk. However, our results did not reveal significant associations of these three SNPs with NSCL/P risk. In addition, similar results were observed in stratified analyses based on the type of NSCL/P (CLO, CPO, or CLP), ethnicity, and the HWE of the control group. These results still should be interpreted with caution.
In the past few decades, the roles in NSCL/P epidemiology played by folate and genetic polymorphisms in genes encoding enzymes related to folate metabolism have attracted considerable attention (Badovinac et al., 2007; Zhao et al., 2014). As one of the most important enzymes in folate metabolism, MTR, encoded by the MTR gene, catalyses the methylation of homocysteine to methionine with the simultaneous conversion of 5-methylenetetrahydrofolate to 5, 10-methylenetetrahydrofolate (THF). The synthesis of S-adenosylmethionine requires THF and is necessary for nucleotide synthesis and methylation reactions (Platek et al., 2009). Functional regeneration of MTR requires the participation of another enzyme, MTRR, which is encoded by the MTRR gene (Leclerc et al., 1998; Wilson et al., 1999). In a previous meta-analysis, Cai et al. (2014) suggested that the MTRR A66G polymorphism, but not MTR A2756G, may be associated with an increase in congenital heart disease risk. However, a meta-analysis conducted by Zhang et al. (2013) showed no significant effect of the MTR A2756G or MTRR A66G polymorphism on the risk of neural tube defects. In the present meta-analysis, our results showed that the MTR A2756G and MTRR A66G polymorphisms are not associated with NSCL/P risk. Interestingly, in a study by Mostowska et al. (2010), where the MTR A2756G polymorphism was considered separately, no significant association with NSCL/P risk was detected. However, a gene-gene interaction analysis showed a significant epistatic interaction leading to NSCL/P susceptibility among the MTHFR (rs1801133), PEMT (rs4646406), and MTR (rs1805087) genotypes (Mostowska et al., 2006). In addition, a recent study reported that the interaction of the MTR and BHMT genes plays a vital role in the pathogenesis of NSCL/P in the Chinese population (Jin et al., 2015). Waltrick-Zambuzzi et al. (2015) found only a borderline association between the MTRR A66G gene polymorphism and the risk of CLP. Therefore, they hypothesized that the MTRR A66G polymorphism specifically plays a role in the CLP type of NSCL/P, in which it plays a minor role in the establishment of clefts. In addition, they found that smoking during pregnancy may be associated with MTRR A66G (Waltrick-Zambuzzi et al., 2015). Therefore, in future research, quantifying the effects of gene-gene and gene-environment interactions will facilitate a more accurate understanding of the roles of these genetic polymorphisms in the pathogenesis of NSCL/P.
Transcobalamin 2 is encoded by the TCN2 gene, and it transports vitamin B12 into cells. Specific membrane receptors recognize the protein portion of the transcobalamin 2-vitamin B12 complex, whereas other complexes or free vitamin B12 are not taken up by cells. Within cells, vitamin B12 is necessary for normal carbon metabolism (Martinelli et al., 2006). The C776G variant (rs1801198) in the transcobalamin gene (TCN2) decreases the cellular and plasma concentrations of transcobalamin and thereby influences the cellular availability of vitamin B12 (Gueant et al., 2007). Martinelli et al. (2006) provided the first evidence supporting the involvement of the TCN2 C776G polymorphism in NSCL/P, but subsequent studies concluded that the TCN2 C776G polymorphism was not associated with NSCL/P susceptibility (Mostowska et al., 2010; Jin et al., 2015; Waltrick-Zambuzzi et al., 2015). Similarly, our meta-analysis did not find a significant association between TCN2 and the risk of NSCL/P. Several factors may have contributed to this finding. First, the associations between gene mutations and NSCL/P susceptibility differ among populations (Mangold et al., 2011). Second, only five available articles on TCN2 were included, and the relatively small sample size may have limited the statistical power. Third, NSCL/P is a disease with multiple aetiologies, and the possible impact of gene-gene or gene-environment interactions should be considered.
Several limitations of our study should be noted when interpreting these findings. First, because of a lack of original information, we could not assess the impacts of gene-gene and gene-environment interactions, which may affect the risk of NSCL/P. Thus, the potential role of these genetic polymorphisms may be masked by other gene-gene/gene-environment interactions. Second, the total sample size was relatively small, although we performed a systematic search to screen for all related studies. Finally, despite the lack of obvious publication bias, as determined through Begg's funnel plots or Egger's test, we could not completely eliminate potential sources of bias because only published studies were examined.
In summary, the MTR A2756G, MTRR A66G, and TCN2 C776G polymorphisms might not be associated with NSCL/P risk. Considering the above-mentioned limitations, larger well-designed studies of multiple populations should be conducted to confirm our findings. In addition, in-depth research investigating the effects of gene-gene and gene-environment interactions might provide a more precise view of the associations between these three SNPs and NSCL/P risk.
Footnotes
Acknowledgments
We sincerely thank Professor Qin Liu from the Chongqing Medical University for providing assistance with the statistical analysis. This study was supported by grants from the Program for Innovation Team Building at Institutions of Higher Education in Chongqing in 2016 (no. CXTDG201602006) and the Chongqing Municipal Key Laboratory of Oral Biomedical Engineering of Higher Education.
Authors' Contributions
W.L. and Y.X. made equal contributions to the literature search, study selection, data collection, statistical analysis, and drafting of the manuscript. Y.W. and G.F. were involved in the study selection and data collection. A.R. conceived and designed the study and revised the manuscript.
Author Disclosure Statement
No competing financial interests exist.
References
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