Literature DB >> 26834978

Is MTHFD1 polymorphism rs 2236225 (c.1958G>A) associated with the susceptibility of NSCL/P? A systematic review and meta-analysis.

Huaxiang Zhao1, Jieni Zhang1, Mengqi Zhang1, Feng Deng2, Leilei Zheng3, Hui Zheng1, Feng Chen4, Jiuxiang Lin1.   

Abstract

AIMS: To investigate the association between the methylenetetrahydrofolate dehydrogenase 1 (MTHFD1) polymorphism rs 2236225 (c.1958G>A) and susceptibility to non-syndromic cleft of the lip and/or palate (NSCL/P).
METHODS: An extensive literature review has been conducted using PubMed, Web of Science, Cochrane Library, Google Scholar, the China National Knowledge Infrastructure (CNKI), and Wanfang Database for eligible researches. The terms for searching were "cleft lip OR cleft palate OR CLP OR CL/P OR oral facial cleft OR OFC" AND "methylenetetrahydrofolate dehydrogenase (NADP+ dependent) 1 OR methenyltetrahydrofolate cyclohydrolase formyltetrahydrofolate synthetase OR MTHFD1 OR MTHFD". Two independent researchers screened, evaluated and extracted the data of included studies. The pooled odds ratios (OR) with 95% confidence intervals (95% CI) were calculated by random effects model under five gene models. Subgroup, sensitivity analysis and publication bias were also assessed.
RESULTS: Ten case-control studies have been included in the systematic review and eight studies have been considered for the meta-analysis. Overall, the MTHFD1 polymorphism rs2236225 and the risk of NSCL/P showed pooled OR (95% CI) of 1.02 (0.86-1.21) under allelic model. A higher degree of heterogeneity was observed in Asian countries (I (2) = 75.6%) compared to non-Asian countries (I (2) = 48.9%). Similar consequence appeared in the subgroup of children (I (2) = 78.6%) compared with that of mothers (I (2) = 0.0%). There was no significant difference in the publication bias by the Begg's funnel plot (P = 0.711) and Egger's regression test (P = 0.746).
CONCLUSION: Our assessment suggested there was no significant association between the MTHFD1 polymorphism rs 2236225 (c.1958G>A) and the susceptibility to NSCL/P. Further investigations using a large sample size and a more advanced technique should be adopted to reach a more precise conclusion in the future.

Entities:  

Keywords:  MTHFD1; Meta-analysis; NSCL/P susceptibility; Polymorphisms

Year:  2015        PMID: 26834978      PMCID: PMC4722688          DOI: 10.12688/f1000research.6425.2

Source DB:  PubMed          Journal:  F1000Res        ISSN: 2046-1402


Introduction

Cleft of the lip and/or palate (CL/P) is one of the most common facial malformations [1– 3] and a societal burden, affecting the patient ability to eat and speak and influencing social integration [4]. Non-syndromic CL/P, accounting for about 70% of CL/P, is considered closely related to genetic and environmental factors [5]. Recent studies suggested that using folic acid could reduce the rates of oral clefts [6, 7] and single nucleotide polymorphisms of some genes such as MTHFR [8, 9], MTR [40] and MTRR involved in the metabolism of folic acid have been associated to high risk of NSCL/P [8, 9]. Methylenetetrahydrofolate dehydrogenase 1 ( MTHFD1), a key gene associated with three sequential enzymatic reactions in the metabolism of folic acid, might play a potential role in the risk of NSCL/P, especially the polymorphism rs2236225 (c.1958G>A) [10]. Indeed, different observations that linked the polymorphism rs2236225 to the risk of NSCL/P have been reported [11, 12]. The suggestion of a link between rs2236225 polymorphism and susceptibility to NSCL/P might be result of the limitations in sample size, different ethnic populations and other environmental factors. Therefore, we conducted a systematic review and meta-analysis of eligible case-control studies to reveal a more precise connection between the MTHFD1 polymorphism rs2236225 and the risk of NSCL/P.

Materials and methods

Identification of studies

A systematic search based on the principle of evidence-based medicine [13] was performed in PubMed, Web of Science, Cochrane Library, Google Scholar, China National Knowledge Infrastructure (CNKI) and WanFang Database. The final update was made on April 5th, 2015. In line with our knowledge background, the Medical Subject Headings (MESH) terms in PubMed and the known aliases of the genes of interests in the National Center of Biotechnology Information (NCBI), the following terms were used for searching: “cleft lip OR cleft palate OR CLP OR CL/P OR oral facial cleft OR OFC” AND “methylenetetrahydrofolate dehydrogenase (NADP+ dependent) 1 OR methenyltetrahydrofolate cyclohydrolase formyltetrahydrofolate synthetase OR MTHFD1 OR MTHFD”, which were slightly adjusted to optimize search results ( Table S1; PubMed). We didn’t limit the search depending on publication types, data and language. Of course, the review of the published literature was examined carefully and manual search was conducted to avoid missing potential data. Two of the authors (Huaxiang Zhao and Mengqi Zhang) were in charge of the search independently and a third author (Jieni Zhang) conducted a random inspection.
Table S1.

Typical search terms used in Pubmed.

#1cleft lip
#2cleft palate
#3cleft lip and palate
#4cleft lip and/or palate
#5CLP
#6CL/P
#7oral facial cleft
#8OFC
#9methylenetetrahydrofolate dehydrogenase (NADP+ dependent) 1
#10methenyltetrahydrofolate cyclohydrolase formyltetrahydrofolate synthetase
#11 MTHFD1
#12 MTHFD
#13 MTHFC
#14#1 OR #2 OR #3 OR #4 OR #5 OR #6 OR #7 OR #8
#15#9 OR #10 OR #11 OR #12 OR #13
#16#14 AND #15

Inclusion and exclusion criteria

Researches included in our systematic review and meta-analysis meet the following criteria: (1) evaluating the association between the NSCL/P and MTHFD1 polymorphism rs2236225, (2) focusing on humans, (3) case-control studies. Exclusion criteria were: (1) no association between NSCL/P and MTFHD1, (2) not focusing on humans but animal models or in vitro studies, (3) duplication of previous researches, (4) not original literature such as reviews, meta-analyses, comments and editorials.

Data collection

Data from eligible studies were extracted by two independent researchers (Huaxiang Zhao and Mengqi Zhang) in accordance with the inclusion and exclusion criteria. In case of any discrepancies, the third chief author (Feng Chen) would make a further investigation or bring it into a group-discussion. A special table was used for collecting information from the selected articles and the following entries were recorded: authors (year), country, location of geography, subjects, methods for genotyping, sample size of cases/controls, descriptions of samples rolled in the study, P for HWE (Hardy-Weinberg equilibrium) of control group, whether included in the meta-analysis or not.

Methodological quality assessment

A methodological quality assessment adapted from previous studies [14– 16] was carried on included studies ( Table S2). Cases, source of controls, sample sizes and Hardy-Weinberg equilibrium (HWE) were considered as important aspects in this systematic review. It is not a widely-used standard so its efficiency is not certain. The result does not include the judgments but the standard can be a reference for the certainty of conclusion.
Table S2.

Scale for methodological quality assessment.

ItemsScore
1.  Representative cases
     NSCL/P diagnosed by acknowledged criteria.2
     Mentioned the diagnosed criteria but not described specifically.1
     Not Mentioned.0
2.  Source of controls
     Population or community-based2
     Hospital-based1
     Not described0
3.  Sample size
     >3002
     150–3001
     <1500
4.  Hardy-Weinberg equilibrium (HWE)
     Hardy-Weinberg equilibrium in control group1
     Hardy-Weinberg disequilibrium in control group0

Statistical analysis

The PRISMA checklist ( Supplementary material S3) was used as a protocol in our meta-analysis [17]. Odd ratios (ORs) and 95% confidence intervals (CIs) were calculated to estimate the association between the susceptibility to NSCL/P and MTHFD1. Five genetic models were used in the process of pooling the OR and 95% CIs: allelic comparison (A versus G), heterozygote model (AG versus GG), homozygote model (AA versus GG), dominant model (AA + AG versus GG), recessive model (AA versus AG + GG). The significance of the pooled effects was determined by Z-test with P value less than 0.05. The Q-statistic and the I 2 test were used to evaluated; P < 0.05 in Q statistic or I 2 > 50% [18, 19], would indicate a significant heterogeneity. When P > 0.05 in Q statistic or I 2 < 50%, the fixed pooling model (Mantel-Haenszel) was conducted; if not, the random pooling model (M-H heterogeneity) was used. We also carried subgroup analyses in which different subjects (mothers or children), location of geography (non-Asian countries or Asian countries) were considered potential source of heterogeneity. A sensitivity analysis was conducted by omitting each study in turn to evaluate the single study’s influence on the overall estimation. We used Begg’s funnel plot and Egger’s linear regression test to find out the publication bias of the included studies [20– 22]. The studies with disequilibrium of HWE among control group were added into a supplementary meta-analysis as described previously [23]. Meanwhile, as for the studies included but not carried into the meta-analysis, to achieve a qualitative analysis we adopted a method described by others [24]. Results were considered significant when P < 0.05. Stata 12.0 (Stata Corp, College Station, TX, USA) was used for the analysis.
Table S3.

PRISMA checklist used for protocol (available at http://www.prisma-statement.org/statement.htm).

Section/topic#Checklist itemReported on page #
Title
Title1Identify the report as a systematic review, meta-analysis, or both.1
Abstract
Structured summary2Provide a structured summary including, as applicable: background; objectives; data sources; study eligibility criteria, participants, and interventions; study appraisal and synthesis methods; results; limitations; conclusions and implications of key findings; systematic review registration number.2~3
Introduction
Rationale3Describe the rationale for the review in the context of what is already known.4
Objectives4Provide an explicit statement of questions being addressed with reference to participants, interventions, comparisons, outcomes, and study design (PICOS).5
Methods
Protocol and registration5Indicate if a review protocol exists, if and where it can be accessed (e.g., Web address), and, if available, provide registration information including registration number.none
Eligibility criteria6Specify study characteristics (e.g., PICOS, length of follow-up) and report characteristics (e.g., years considered, language, publication status) used as criteria for eligibility, giving rationale.5~6
Information sources7Describe all information sources (e.g., databases with dates of coverage, contact with study authors to identify additional studies) in the search and date last searched.5
Search8Present full electronic search strategy for at least one database, including any limits used, such that it could be repeated. Table S1
Study selection9State the process for selecting studies (i.e., screening, eligibility, included in systematic review, and, if applicable, included in the meta-analysis).5~6
Data collection process10Describe method of data extraction from reports (e.g., piloted forms, independently, in duplicate) and any processes for obtaining and confirming data from investigators.5~6
Data items11List and define all variables for which data were sought (e.g., PICOS, funding sources) and any assumptions and simplifications made.5~6
Risk of bias in individual studies12Describe methods used for assessing risk of bias of individual studies (including specification of whether this was done at the study or outcome level), and how this information is to be used in any data synthesis.6 and Table S2
Summary measures13State the principal summary measures (e.g., risk ratio, difference in means).6~7
Synthesis of results14Describe the methods of handling data and combining results of studies, if done, including measures of consistency (e.g., I 2) for each meta-analysis.6~7
Risk of bias across studies15Specify any assessment of risk of bias that may affect the cumulative evidence (e.g., publication bias, selective reporting within studies).6~7
Additional analyses16Describe methods of additional analyses (e.g., sensitivity or subgroup analyses, meta-regression), if done, indicating which were pre-specified.7
Results
Study selection17Give numbers of studies screened, assessed for eligibility, and included in the review, with reasons for exclusions at each stage, ideally with a flow diagram.8 and Figure 1
Study characteristics18For each study, present characteristics for which data were extracted (e.g., study size, PICOS, follow-up period) and provide the citations. Table 1
Risk of bias within studies19Present data on risk of bias of each study and, if available, any outcome level assessment (see item 12).9~10, Table S2
Results of individual studies20For all outcomes considered (benefits or harms), present, for each study: (a) simple summary data for each intervention group (b) effect estimates and confidence intervals, ideally with a forest plot. Figure 2
Synthesis of results21Present results of each meta-analysis done, including confidence intervals and measures of consistency. Figure 2~ Figure 4
Risk of bias across studies22Present results of any assessment of risk of bias across studies (see Item 15). Table S2, Figure 5~ Figure 6
Additional analysis23Give results of additional analyses, if done (e.g., sensitivity or subgroup analyses, meta-regression [see Item 16]). Figure 5~ Figure 6
Discussion
Summary of evidence24Summarize the main findings including the strength of evidence for each main outcome; consider their relevance to key groups (e.g., healthcare providers, users, and policy makers).11~12
Limitations25Discuss limitations at study and outcome level (e.g., risk of bias), and at review-level (e.g., incomplete retrieval of identified research, reporting bias).12
Conclusions26Provide a general interpretation of the results in the context of other evidence, and implications for future research.13
Funding
Funding27Describe sources of funding for the systematic review and other support (e.g., supply of data); role of funders for the systematic review.15

Results

Data retrieval

A total of 251 articles resulted from the search described above (PubMed: 86, Web of Science: 8, Google Scholar: 135, Cochrane Library: 0, CNKI: 18, Wanfang: 4). After being imported into EndNote X6 software (Thomson Corporation, Stamford), a screening process was conducted among 102 articles– that is, duplicates were removed using the ‘Discard Duplicates’ function as well as by handwork. Following paper selection by two independent researchers, 15 studies were then thoroughly reviewed. Of these, five studies were excluded, among which two had no control groups [25, 26], one no relation to MTFHD1 [27], and the other two presented data previously published [28, 29]. Finally, 10 studies that met the criteria were included in the systematic review ( Table 1) [10– 12, 30– 36] and mathematic data from eight studies were used for reference to carry out the meta-analysis [10– 12, 31– 33, 35, 36]. The selection process is shown in Figure 1.
Table 1.

Characteristics of studies included in the systematic review and meta-analysis.

No.Authors (year)CountryGeographical locationSubjectsMethods for genotypingSample size of case/control group (just for the patients)Descriptions of samples from study participantsP for HWE* of control groupWhether included in meta- analysis or not
casecontrol
1Mostowska et al. (2006)PolandEuropeMothersPCR-RFLP [γ] 12282The case samples came from healthy mothers of NSCL/P children, while the control group includes samples from healthy mothers of children without NSCL/P. There was no difference between the two groups in their age, habit of smoking.NM [ψ] Yes
2Boyles et al. (2008)NorwayEuropeMothers and childrenMALDI-TOF MS [ξ] 573763377 cases were CL/P and 196 cases CPO. Most mothers in the case group use supplemental folate during the pregnancy.NM [ψ] No
3Mills et al. (2008)IrelandEuropeMothers, fathers and childrenPCR-RFLP [γ] 10301000536 were CLP consisted of 494 cases with isolated defects 23 with one additional defect, 18 with multiple defects, and one with Pierre Robin. 426 cases with CPO consisted of 321 isolated defects, 15 with one additional defect, 21 with multiple defects, and 69 with Pierre Robin Sequence.0.03Yes
4Bufalino et al. (2010)BrazilSouth AmericaMothersPCR-RFLP [γ] 106184Mothers who smoke, drink and use anti- hypertensives and drugs that could potentially impair the function of folic acids were not included in this study.0.66Yes
5Mostowska et al. (2010)PolandEuropeChildrenPCR-RFLP [γ] 174176The patients with clefts palate only (CPO) were excluded because the researchers thought the pathogenesis of NSCL/P and the CPO was different.0.11Yes
6Li et al. (2013)ChinaAsianChildrenPCR-RFLP [γ] 187157The patients in the case group consisted of 126 boys and 61 girls.0.89Yes
7Yuan (2013)ChinaAsianMothers, fathers and childrenPCR-RFLP [γ] 15015068 CLO and 82 CLP were enrolled in the case group.0.92Yes
8Zhao et al. (2013)ChinaAsianChildrenPCR-RFLP [γ] 294126There were 191 CLP and 103 CPO in the patients group.0.08Yes
9de Aquino et al. (2013)BrazilSouth AmericaMothers, fathers and childrenReal-Time PCR181478Patients with clefts palate only (CPO) were excluded. 65 clefts lip only (CLO) and 116 clefts lip and palate (CLP) were included in this study, consisting of 101 males and 80 females.NM [ψ] No
10Murthy et al. (2014)IndiaAsianChildrenPCR-RFLP [γ] 142141There were 123 CLP and 19 CPO in the case group.0.94Yes

HWE*: Hardy-Weinberg equilibrium.

NM ψ: Not mentioned in the study.

PCR-RFLP γ: PCR-restriction fragment length polymorphism.

MALDI-TOF MS ξ: matrix-assisted laser desorption/ionization time-of-flight mass spectrometry.

Figure 1.

Flow chart showing study selection in the systematic and meta-analysis.

HWE*: Hardy-Weinberg equilibrium. NM ψ: Not mentioned in the study. PCR-RFLP γ: PCR-restriction fragment length polymorphism. MALDI-TOF MS ξ: matrix-assisted laser desorption/ionization time-of-flight mass spectrometry.

Study characteristics

Eventually, all 10 studies containing 6216 samples (2959 cases and 3257 controls) were analyzed in our review. The characteristics of every study can be seen in Table 1. To summarize briefly, there were four studies from European groups, four from Asian groups and two from South American groups, among which two studies focused on the genotype of patients’ mothers only, four on children’ s genotype only and four on both of them. PCR-restriction fragment length polymorphism (PCR-RFLP) was the major method of genotyping, while other techniques had been used as well.

Association between MTHFD1 polymorphism rs2236225 (c.1958G>A) and NSCL/P susceptibility

The association between MTHFD1 polymorphism rs2236225 (c.1958G>A) and NSCL/P susceptibility was analyzed through a meta-analysis and qualitative analysis. In the meta-analysis, since significant heterogeneity had been identified by Q-test and I 2 statistic in every genetic model, the random effect models were used. Overall, a significant association was not found in any genetic model (A versus G: OR = 1.02, 95% CI 0.86–1.21, P H = 0.010, Figure 2; AG versus GG: OR = 0.97, 95% CI 0.75–1.26, P H = 0.019, Figure 3A; AA versus GG: OR = 1.07, 95% CI 0.70–1.65, P H = 0.005, Figure 3B; AA + AG versus GG: OR = 1.00, 95% CI 0.76–1.31, P H = 0.006, Figure 3C; AA versus AG + GG: OR = 1.05, 95% CI 0.71–1.53, P H = 0.014, Figure 3D). On the other hand, no association was found in the genotypes of children, mothers or fathers in the qualitative analysis [30, 34].
Figure 2.

Forest plot of allelic comparison of MTHFD1 polymorphism rs2236225 (c.1958G>A) for overall comparison (A versus G).

Figure 3.

Forest plot of heterozygote, homozygote, dominant and recessive model comparison of MTHFD1 polymorphisms rs2236225 (c.1958G>A) for overall comparison.

( A) Heterozygote model, AG versus GG. ( B) Homozygote model, AA versus GG. ( C) Dominant model, AA + AG versus GG. ( D) Recessive model, AA versus AG + GG.

Forest plot of heterozygote, homozygote, dominant and recessive model comparison of MTHFD1 polymorphisms rs2236225 (c.1958G>A) for overall comparison.

( A) Heterozygote model, AG versus GG. ( B) Homozygote model, AA versus GG. ( C) Dominant model, AA + AG versus GG. ( D) Recessive model, AA versus AG + GG. Next we conducted the subgroup analysis using allelic A versus G model according to the location of geography and subjects (mothers or children). It turned out that there was no significant difference between Asian (OR = 1.03, 95% CI 0.75–1.40, P H = 0.003) or non-Asian population (OR = 1.06, 95% CI 0.86–1.30, P H = 0.118). However, a higher degree of heterogeneity was observed in the Asian countries compared to non-Asian countries ( Figure 4A). A similar result was observed in the subgroup analysis between mothers and children. The heterogeneity was much higher in the children group (OR = 0.99, 95% CI 0.72–1.36, P H = 0.001) than in the mothers’ group (OR = 1.11, 95% CI 0.98–1.27, P H = 0.630), while no significant difference was observed in both groups ( Figure 4B).
Figure 4.

Subgroup analysis by locations of geography ( A) and subjects ( B) under allelic comparison of MTHFD1 polymorphism rs2236225 (c.1958G>A).

Subgroup analysis by locations of geography ( A) and subjects ( B) under allelic comparison of MTHFD1 polymorphism rs2236225 (c.1958G>A).

Sensitivity analysis and publication bias

To access the influence of each individual study on the pooled ORs, a sensitivity analysis was performed by omitting each study at a time. The results of sensitivity suggests that no individual study affects the pooled ORs of the associations between MTHFD1 polymorphism rs2236225 (c.1958G>A) and NSCL/P risk under allelic model ( Figure 5).
Figure 5.

Sensitivity analysis of the association between MTHFD1 polymorphism rs2236225 (c.1958G>A) and susceptibility to NSCL/P under allelic model (A versus G).

We used the Begg’s funnel plot and Egger’s regression test (both used the allelic A versus G model) to estimate the publication bias. Our results indicate that there is no significant publication bias both in the symmetry of Begg’s funnel plot (P = 0.711, Figure 6) and Egger’s regression test (P = 0.746). But due to the sample size (the total number of included article is less than 10), statistical analyses may not describe the publication bias precisely. The test reliability is in doubt.
Figure 6.

Begg’s funnel plot of the association between MTHFD1 polymorphism rs2236225 (c.1958G>A) and the susceptibility to NSCL/P under allelic model (A versus G).

Discussion

CL/P is one of the most common facial malformations, affecting approximately 1.7/1000 people around the world with ethnic and geographic variation [1]. Approximately 70% of CL/P cases are considered to be non-syndromic [37, 38], and their susceptibility has been linked to the expression of various candidate genes through twin studies, familial clustering studies and genome-wide studies [39]. Recent studies suggest that using folic acid could reduce the rates of oral clefts [6, 7] and genes involved in the metabolish of folic acid have been identified MTHFD1, a crucial gene associated with three sequential enzymatic reactions among 5,10-methylenetetrahydrofolate, 5,10-methenyltetrahydrofolate, 10-formyltetrahydrofolate, tetrahydrofolate, might play a potential role in NSCL/P [10]. However, controversial results about the MTHFD1 polymorphism rs2236225 (c.1958G>A) have been reported in different articles [10, 12]. In this systematic review, 10 independent case-control studies were included (eight studies for meta-analysis and two studies qualitatively analyzed) containing 6216 samples (2959 cases and 3257 controls). In all of the included 8 studies for meta-analysis, 7 did not show significant difference between the case and control groups. 1 study reported that the case group showed closer relationship with MTHFD1 polymorphisms rs 2236225 (c.1958G>A). After the over-all analysis we concluded the comprehensive effect. All the eligible studies of meta-analysis and qualitative analysis showed no significant association of MTHFD1 rs2236225 to the risk of NSCL/P, whether in the whole analysis of five model (A versus G, AG versus GG, AA versus GG, AA + AG versus GG, AA versus AG + GG) or in the subgroup of subjects (mothers or children) and the location of geography (non-Asian countries or Asian countries). Meanwhile, high heterogeneity was observed, which might be the reason for the genetic drift and natural selection among different ethnic groups [42]. Also, small sample size of different studies might be a possible reason for the disparate results. Our findings suggest that the MTHFD1 polymorphism rs2236225 (c.1958G>A) might not be an appropriate biomarker in predicting the susceptibility of an individual to NSCL/P. Some limitations of this systematic review and meta-analysis should be noted. Firstly, the choice of retrospective studies has its own limitations, as we may encounter selection bias and influence the results of our analysis [43]. However, a bigger size of cohort study cannot be conducted easily because of the relatively low morbidity [44]. Secondly, only 10 studies were included in our review, a small sample size that might not provide sufficient evidence to estimate the connections between the MTHFD1 polymorphisms and the risk of NSCL/P. Thirdly, the publication bias cannot be effectively analyzed because of the limited amount of included study. NSCL/P is also associated with gene-gene and gene-environment interactions [45]. Although no correlation was observed between MTFHD1 polymorphism rs2236225 (c.1958G>A) and the risk of NSCL/P, in view of MTFHD1 gene’s key role in folic acid metabolism, we cannot draw a definite conclusion that there is no association between MTFHD1 and NSCL/P’s susceptibility. The use of larger sample size studies, different techniques and considering gene-gene or gene-environment interactions should be explored in future investigations. What is more, the gene samples from mother were too scarce to be representative and to explain our results. We do recommend more samples from parents in the future studies, which is significant for the early stage diagnose, as the current technology can only diagnose CLP in the midterm even later in the pregnancy. The current version of this report has properly included all of my suggestions and comments. I think that now this version was really improved the message for the readers. I have read this submission. I believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. In general terms, this article contributes to unraveling the complex genetic architecture of NSCL/P. This type of systematic reviews are always relevant due to the fact that they pooled several singles trials, and therefore, the sample sizes have an important increase. However, this article needs some modifications that avoid to be published in its current version: All of the gene acronyms may be written italics. The title says "Is MTHFD1 polymorphisms..." but it refers to only one SNP. The Materials and Method section includes the quality analysis of each paper included in this meta-analysis, but Results section did not mentioned anything about this analysis. The publication bias analysis when < 10 articles is not statistically resolved (see Egers's paper), so for this meta-analysis it is necessary at least a comment about this issue. The first two paragraph of the Discussion section are almost the same as the Introduction. I think that the Discussion could include a comment about maternal genotype effects in order to explain the negative results of this analysis. I have read this submission. I believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. Thank you so much for your precious advice. We have studied your comments carefully and revised the manuscript. The point to point responds are listed as following: We have corrected all the inappropriate format of gene acronyms; Our title says “Is MTHFD1 polymorphisms rs 2236225 (c.1958G>A)…”, which refers to a specific SNP in accordance with the content; The traditional meta-analysis focuses on the clinical RCTs, which aims to reveal the relevance between specific interruption and clinical effects. A complete assessment standard for the included RCT reports has been widely accepted and used. While our study material is totally different from RCTs thus there is no clear assessment standard to refer. So we do not discuss the quality analysis. But in order to provide the readers an assessment standard we provide the tables 2 in supplementary materials for reference. We agree that the usual method to evaluate publication bias is not suitable for our study because of the limited amount, which reduces the reliability of our conclusion. We have declared that in the discussion of our updated version. Actually the Discussion is an overview of the article, which includes and further explains the content above. While in avoidance of repetition we modified and simplified the first and second paragraph of the Discussion. Two of our included studies only analyzed the maternal genotype, one study reported the mother and children genotype and three took samples from children and their parents. The gene samples from mother were too scarce to be representative and to explain our results. We do recommend more samples from parents in the future studies, which is significant for the early stage diagnose, as the current technology can only diagnose CLP in the midterm even later in the pregnancy. Non-syndromic cleft of the lip and/or palate (NSCL/P) is considered closely related to genetic and environmental factors. As a key gene in the metabolism of folic acid which is associated to high risk of NSCL/P, methylenetetrahydrofolate dehydrogenase (MTHFD1) polymorphisms rs 2237225 (c. 1958G>A) may be associated with the susceptibility of NSCL/P. However, controversial conclusions on this association have been reported by different groups. This paper conducted a systematic review and meta-analysis of eligible case-control studies which is necessary before we go forward to larger sample size studies. This paper is scientifically sound, clear and well-organized. However, these following revisions may make it more interesting. Page 6, Figure 1, Eligibility section, the number of full-text articles excluded with reasons should be 5. The lack of folic acid will result in many health problems such as neural tube defects, macrocytic anemia, mental depress and so on, not only NSCL/P. MTHFD1 is important in the metabolism of folic acid. Why is it suggested that MTHFD1 polymorphisms may be associated with the susceptibility of NSCL/P, but not neural tube defects ( Meng ) or other diseases ( Weiner ; Silva )? It is mentioned in the Discussion section that controversial results about the MTHFD1 polymorphism rs2236225 (c. 1958G>A) have been reported in different articles. A brief description about the controversial results and their conclusions will make the discussion more interesting. MTHFR, MTR, AND MTRR which are involved in the metabolism of folic acid are reported to be associated with high risk of NSCL/P. Why MTHFD1 which is also involved in the metabolism of folic acid shows no significant association with susceptibility to NSCL/P? It’s due to the sample size or the limit of technique, or it is the truth? A brief discussion on this will be interesting. I have read this submission. I believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. Thank you. We have studied your valuable comments and revised the manuscript according to your suggestions. The point to point responds are listed as following: We have corrected the error, thank you; Neural tube defects and NSCL/P is similar in the origin of development, while the different relationship with MTHFD1 may suggest the different pathogenesis. Maybe each part of organ has a specific different folic acid metabolic pathway in their development. We are so glad to follow your advice. In all of the included 8 studies, 7 did not show significant difference between the case and control groups. 1 study reported the case group showed closer relationship with MTHFD1 polymorphisms rs 2236225 (c.1958G>A). A brief description of this controversy is also included in this article. All 10 studies containing 6216 samples (2959 cases and 3257 controls) were analyzed in our article. Limited to the size of simple, our result cannot give a certain conclusion about the relationship of MTHFD1 and NSCL/P and won’t deny the possibility of an actual relationship. The heterogeneity exists in the research method, sample source area and maternal or children genotypes. The incident rate and clinical manifestation differ in various areas. Different research method would lead to diverse accuracy even controversial conclusion. Thus we are still not sure about the association between MTHFD1 and NSCL/P and further exploration is needed. We also discussed this matter in our article.
  40 in total

1.  Global oral health inequalities: challenges in the prevention and management of orofacial clefts and potential solutions.

Authors:  P A Mossey; W C Shaw; R G Munger; J C Murray; J Murthy; J Little
Journal:  Adv Dent Res       Date:  2011-05

2.  Methylenetetrahydrofolate reductase C677T and A1298C polymorphisms and nonsyndromic orofacial clefts susceptibility in a southern Chinese population.

Authors:  Yue Han; Yongchu Pan; Yifei Du; Na Tong; Meilin Wang; Zhengdong Zhang; Linzhong Wan; Lin Wang
Journal:  DNA Cell Biol       Date:  2011-05-25       Impact factor: 3.311

3.  Operating characteristics of a rank correlation test for publication bias.

Authors:  C B Begg; M Mazumdar
Journal:  Biometrics       Date:  1994-12       Impact factor: 2.571

4.  MTHFR C677T and A1298C polymorphisms and risk of nonsyndromic orofacial clefts in a south Indian population.

Authors:  Jyotsna Murthy; Venkatesh Babu Gurramkonda; Nivedita Karthik; Bhaskar V K S Lakkakula
Journal:  Int J Pediatr Otorhinolaryngol       Date:  2013-12-13       Impact factor: 1.675

5.  Maternal MTR genotype contributes to the risk of non-syndromic cleft lip and palate in the Polish population.

Authors:  A Mostowska; K K Hozyasz; P P Jagodzinski
Journal:  Clin Genet       Date:  2006-06       Impact factor: 4.438

6.  Facial clefts in the west of Scotland in the period 1980-1984: epidemiology and genetic diagnoses.

Authors:  D R FitzPatrick; P A Raine; J G Boorman
Journal:  J Med Genet       Date:  1994-02       Impact factor: 6.318

7.  Folate-related gene polymorphisms as risk factors for cleft lip and cleft palate.

Authors:  James L Mills; Anne M Molloy; Anne Parle-McDermott; James F Troendle; Lawrence C Brody; Mary R Conley; Christopher Cox; Faith Pangilinan; David J A Orr; Michael Earley; Eamon McKiernan; Ena C Lynn; Anne Doyle; John M Scott; Peadar N Kirke
Journal:  Birth Defects Res A Clin Mol Teratol       Date:  2008-09

8.  Association of two polymorphisms rs2910164 in miRNA-146a and rs3746444 in miRNA-499 with rheumatoid arthritis: a meta-analysis.

Authors:  Ke Li; Hongtao Tie; Ning Hu; Hong Chen; Xinru Yin; Chao Peng; Jingyuan Wan; Wei Huang
Journal:  Hum Immunol       Date:  2014-05-10       Impact factor: 2.850

9.  Oral cleft prevention program (OCPP).

Authors:  George L Wehby; Norman Goco; Danilo Moretti-Ferreira; Temis Felix; Antonio Richieri-Costa; Carla Padovani; Fernanda Queiros; Camilla Vila Nova Guimaraes; Rui Pereira; Steve Litavecz; Tyler Hartwell; Hrishikesh Chakraborty; Lorette Javois; Jeffrey C Murray
Journal:  BMC Pediatr       Date:  2012-11-26       Impact factor: 2.125

10.  A genetic variant in miR-196a2 increased digestive system cancer risks: a meta-analysis of 15 case-control studies.

Authors:  Jing Guo; Mingjuan Jin; Mingwu Zhang; Kun Chen
Journal:  PLoS One       Date:  2012-01-24       Impact factor: 3.240

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1.  Association of the WNT3 polymorphisms and non-syndromic cleft lip with or without cleft palate: evidence from a meta-analysis.

Authors:  Bing-Qian Wang; Shu-Tao Gao; Kun Chen; Zhu-Qiu Xu; Jia-Ming Sun; Yun Xia; Zheng-Tao Lv
Journal:  Biosci Rep       Date:  2018-11-23       Impact factor: 3.840

  1 in total

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