Objective: This meta-analysis was conducted with the aim of investigating the association between WNT3 gene polymorphisms and non-syndromic cleft lip (CL) with or without cleft palate (NSCL/P) predisposition. Methods: A comprehensive literature search was performed in six online databases including PubMed, Embase, ISI Web of Science, CENTRAL, CNKI, and Wanfang from inception up to June 2018 without language restriction. Pooled odds ratios (ORs) and corresponding 95% confidence intervals (95%CIs) were calculated under allele model of inheritance to indicate the association between WNT3 polymorphisms and NSCL/P. Risk of bias was assessed through the Newcastle–Ottawa scale (NOS). Predetermined stratified and sensitivity analyses were performed using the RevMan 5.3 software, publication bias were evaluated by Egger’s and Begg’s tests. Results: Seven case–control studies comprising 1617 NSCL/P patients and 2143 healthy controls were identified and included in the present study, a total of eight loci were investigated in the present study: rs3809857 was significantly associated with NSCL/P vulnerability (G compared with T, OR = 1.34, 95%CI: 1.15–1.56, P=0.0001), a significant association between rs9890413 polymorphism and NSCL/P susceptibility (A compared with G, OR = 1.25, 95%CI: 1.06–1.47, P=0.007) was detected as well. Since only few studies reported detailed data about the association between rs142167, rs7207916, rs199498, rs111769, rs12452064, rs11653738, and NSCL/P risk, these results were not combined using meta-analysis. Conclusion: Based on the findings of our current study, the rs3809857 and rs9890413 polymorphisms of WNT3 appeared to be associated with NSCL/P. Limited evidence is found to support the association between other WNT3 polymorphisms and risk of NSCL/P.
Introduction
Non-syndromic cleft lip (CL) with or without cleft palate (NSCL/P) is one of the most frequent congenital malformation amongst live births worldwide. The global prevalence of NSCL/P ranging from 1:500 to 1:2500 live births, with considerable variability across geographic origin, ethnic and racial background, as well as socioeconomic status [1]. Based on clinical manifestation, NSCL/P can be generally divided into CL, cleft palate (CP), and CL and palate (CLP) [2]. Since NSCL/P affects speech, feed, as with appearance, individuals with NSCL/P suffer greatly from both functional and cosmetic problems, which may bring about delayed development, weak social integration, and poor quality of life. In addition, a long term follow-up study has reported that NSCL/P is significantly correlated with increased risk of overall and cause specific mortality [3]. Although advanced surgical treatment and rehabilitation have enabled sufferers to normal life, NSCL/P inevitably imposes a heavy burden on both family and society [4].
As a complex disorder, current knowledge about the etiopathogenesis of NSCL/P remains largely undetermined. Environmental variations, genetic influences and interactions of these factors all drive the occurrence of NSCL/P. Researchers have reported that exposure to environmental factors like drinking, tobacco smoking, medicinal drugs, viral infection, and lack of vitamins during early pregnancy appear to increase the risk of having NSCL/P offspring [5,6]. Apart from environmental factors, genetic factors are as well considered to participate in the pathogenesis of NSCL/P. Estimates of the risk of recurrence for first-degree relatives range from 24- to 82-fold compared with the general population [7]. The strong family aggregation suggests a large genetic component for NSCL/P. Across the past decade, mounting studies have reported a huge number of gene polymorphisms of various candidate genes including IRF6 [8], TGFA [9], MTHFD1 [10], MTHFR [11], BMP4 [12], and so forth, that could be related to NSCL/P vulnerability.
The WNT gene family consists of a range of members such as WNT3, WNT3A, WNT5A, WNT8A, WNT11, and so forth [13]. The products of WNT genes constitute a cluster of conserved secreted glycoproteins that participant in developmental and cell-biological processes, thus playing a fundamental role in craniofacial embryogenesis [14,15]. Mutations in WNT genes and their downstream targets have been implicated in human NSCL/P [16]. Of the WNT family, WNT3 gene is the most extensively studied candidate gene for NSCL/P.
Early in 2008, Chiquet et al. [17] initially reported the correlation between WNT3 gene polymorphisms and NSCL/P vulnerability, and found some locus polymorphisms significantly associated with NSCL/P. Afterward, several replicate studies were performed across different races with inconsistent outcomes [18–24]. Respecting the sample size was small and the statistical power was limited of individual study, we conducted the present systematic review and meta-analysis to provide a more comprehensive and precise estimation on the association between WNT3 polymorphisms and NSCL/P predisposition.
Materials and methods
The current systematic review and meta-analysis was performed in accordance with PRISMA (the Preferred Reporting Items for Systematic Review and Meta-Analyses) guidelines [25]. An unpublished protocol was prepared for internal comment.
Literature search strategy
The computerized literature search of the present study was systematically conducted using six online electronic databases including PubMed, Embase, ISI Web of Science, CENTRAL, CNKI, and Wanfang. All the relevant literature was published previous to June 2018. A combination of Medical Subject Headings (MeSH) alongside free terms was utilized to hunt all the potentially eligible publications without any language restriction. For English databases, we employed the following search string: (Single Nucleotide Polymorphism or polymorphism or SNP or SNPs or ‘Polymorphism, Single Nucleotide’ [MeSh]), and (cleft lip or cleft palate or oral cleft or ‘Cleft Lip’ [MeSh] or ‘Cleft Palate’ [MeSh] or NSCL/P or NSCLP), and Wnt3. For Chinese academic databanks, we adopted the key words to identify related Chinese literature, the literature search strategy was as followed: ‘Chun E Lie’, ‘WNT3’, and ‘Duo Tai Xing’. The reference lists of relevant reviews and full-text articles were manually examined as well to look for additional possible studies.
Inclusion and exclusion criteria
The PICOS principle was followed to establish the inclusion criteria for our current study. Studies satisfying the following criteria were included for review: (i) NSCL/P should be diagnosed on the basis of clinical examination; (ii) studies on the relationship between WNT3 polymorphisms and NSCL/P susceptibility that have been published; (iii) control subjects should be defined as healthy subjects without history of cleft and other major congenital anomalies; (iv) available odds ratio (OR) and 95% confidence interval (95%CI) under allelic comparison of individual loci; (v) observational studies (case–control or cohort studies) on humans.
Accordingly, studies would be excluded if they met the following criteria: (i) animal studies, reviews, case reports, conference abstracts, as well as editorials; (ii) data that overlapped previous publications. If duplicated studies reporting overlapping data were identified, the most comprehensive one was included in the meta-analysis.
Methodological quality assessment
The methodological quality of eligible studies was evaluated separately by the first two investigators according to the Newcastle–Ottawa scale (NOS) for observational studies [26]. A ‘star system’ was applied to judge individual study on three broad perspectives: the selection of the case and control groups; the comparability of the case and control groups, and the ascertainment of either the exposure or outcome of interest for case–control studies. Higher scores indicate better methodological quality of included studies. Two reviewers (B.-q.W. and S.-t.G.) independently assessed the risk of bias of each included study, the results were compared afterward. Disagreements between two investigators were settled by discussion until a mutual consensus was reached.
Data extraction
In compliance with the predefined criteria, the following information was meticulously extracted independently by two reviewers (B.-q.W. and S.-t.G.) from all qualified articles: (i) surname of the first author; (ii) year of publication; (iii) variant locus; (iv) country where the study was performed; (v) ethnicity of enrolled subjects; (vi) numbers of case and control subjects; (vii) results of Hardy–Weinberg equilibrium (HWE) test; (viii) OR and 95%CI under allelic comparison of individual locus; (ix) major allele distribution of case and control participants. Once encountering discrepancy during this process, two authors re-inspected the article together and reached an agreement after discussion.
Statistical analysis
The strength of association between WNT3 polymorphisms and NSCL/P susceptibility was evaluated through merging ORs and corresponding 95%CIs of individual studies. The between-study heterogeneity was assessed using the Q-statistical test and I2 test [27]. The random-effect model and fixed-effect model were used for data combination in the presence (P<0.1, I2 > 50%) or absence of heterogeneity (P>0.1, I2< 50% indicates acceptable heterogeneity), respectively [28,29]. The leave-one-out sensitivity analysis was conducted by removing each study in turn and reassessing the resulting effect on the overall effect. Egger’s regression test and Begg’s rank correlation test were used to estimate the publication bias (Stata version 12.0, Stata Corp LP, U.S.A.) [30]. Forest plots and funnel plots were generated using RevMan 5.3 software (Copenhagen: The Nordic Cochrane Centre, The Cochrane Collaboration, 2014). In addition, stratified analyses were performed according to subtypes of NSCL/P (CL, CP, or CLP) and ethnicity of NSCL/P patients.
Functional predictions
Two in silico tools were applied to predict the function of WNT3 polymorphisms: HaploReg 4.1 [31] (http://pubs.broadinstitute.org/mammals/haploreg/haploreg.php) and GTEx Project [32] (https://gtexportal.org/home/).
Results
Literature search
The initial search of six online databases yielded 50 records comprising 15 from PubMed, 10 from EMBASE, 21 from ISI Web of Science, 0 from CENTRAL, 2 from CNKI, and 2 from Wanfang. No record was identified through other sources. Overall, a total of 50 records were identified. After the first-stage scanning of title and author, 21 duplicated records were excluded. Of the remaining 29 records, a further 21 citations were eliminated after title and abstract screening. The remaining eight articles went into full-text assessment for eligibility, and one was removed because of unavailable data [17]. Seven studies [18–24] were incorporated into the qualitative synthesis, and five [19,21–24] were included in the final meta-analysis. The process of literature selection process is presented in Figure 1.
Flow diagram of literature search and screen
Main characteristics
The general characteristics of included studies were presented in Table 1. Seven case–control studies comprising 1617 NSCL/P patients and 2143 healthy controls were identified and included in the present study. One of the studies [18] was published in Chinese and the rest were published in English. The included researches were published between 2010 and 2018. All the studies were case–control studies in design. Of them, two were carried out in China [18,23], two in Iran [19,24], one in U.S.A. [22], one in Poland [21], and another one in Estonia [20]. The sample size of individual study ranged from 104 to 463 for cases, and 112 to 606 for controls. A total of eight loci were investigated in the present study, including four studies on rs3809857, five on rs9890413, two on rs142167, two on rs7207916, one on rs199498, one on rs111769, one on rs12452064, and one on rs11653738. None of the included studies deviated from the HWE with the exception of Farrokhi Karibozorg et al. [24] study for rs3809857 polymorphism. On the basis of the NOS, each study received no less than five stars for methodological quality assessment, as shown in Table 2.
Study . | Country . | Ethnicity . | Variant . | NSCL/P / control . | Major allele (%) . | HWE . | Association . | |||
---|---|---|---|---|---|---|---|---|---|---|
. | . | . | . | . | NSCL/P . | Control . | . | OR . | 95%CI . | P-value . |
Farrokhi Karibozorg (2018) [24] | Iran | Asian | rs3809857 (G/T) | 113/220 | 63.7 | 57.1 | <0.01 | 1.32 | 0.95–1.83 | 0.1 |
rs9890413 (A/G) | 113/220 | 78.8 | 78.9 | 0.89 | 0.94 | 0.64–1.39 | 0.77 | |||
Lu (2015) [23] | China | Asian | rs3809857 (G/T) | 236/400 | 76.5 | 69.9 | 0.05 | 1.4 | 1.08–1.82 | 0.01 |
rs9890413 (A/G) | 236/400 | 92.6 | 96.9 | 0.60 | 0.4 | 0.24–0.68 | 0.0007 | |||
Menezes (2010) [22] | U.S.A. | Caucasian | rs142167 (A/G) | 463/303 | NA | NA | >0.05 | 1.61 | 1.29–2.02 | 2.80E-05 |
rs199498 (C/T) | 463/303 | NA | NA | >0.05 | 1.34 | 1.06–1.68 | 0.01 | |||
rs111769 (C/T) | 463/303 | NA | NA | >0.05 | 0.73 | 0.59–0.90 | 0.003 | |||
rs9890413 (A/G) | 463/303 | NA | NA | >0.05 | 1.40 | 1.12–1.74 | 0.002 | |||
Mostowska (2012) [21] | Poland | Caucasian | rs3809857 (G/T) | 210/244 | 63.8 | 57.8 | 0.81 | 1.29 | 0.99–1.68 | 0.06 |
rs12452064 (A/G) | 210/244 | 55.7 | 55.1 | 0.41 | 1.02 | 0.79–1.33 | 0.86 | |||
rs7207916 (A/G) | 210/244 | 59.0 | 62.5 | 0.90 | 0.87 | 0.66–1.13 | 0.29 | |||
rs9890413 (A/G) | 210/244 | 73.3 | 69.3 | 0.83 | 1.22 | 0.91–1.63 | 0.18 | |||
Nikopensius (2010) [20] | Estonia | Caucasian | rs11653738 (T/C) | 104/606 | 41.4 | 31.7 | >0.05 | 1.518 | 1.123–2.053 | 0.0064 |
Rafighdoost (2018) [19] | Iran | Asian | rs3809857 (G/T) | 120/112 | 76.7 | 71.0 | 0.77 | 1.34 | 0.89–2.04 | 0.16 |
rs9890413 (A/G) | 120/112 | 90.8 | 88.8 | 0.05 | 1.24 | 0.68–2.28 | 0.48 | |||
Xin (2013) [18] | China | Asian | rs142167 (G/A) | 371/258 | 66.2 | 69.0 | 0.82 | 0.88 | 0.69–1.12 | 0.29 |
rs7216231 (A/G) | 371/258 | 64.7 | 68.2 | 0.86 | 0.85 | 0.67–1.08 | 0.19 |
Study . | Country . | Ethnicity . | Variant . | NSCL/P / control . | Major allele (%) . | HWE . | Association . | |||
---|---|---|---|---|---|---|---|---|---|---|
. | . | . | . | . | NSCL/P . | Control . | . | OR . | 95%CI . | P-value . |
Farrokhi Karibozorg (2018) [24] | Iran | Asian | rs3809857 (G/T) | 113/220 | 63.7 | 57.1 | <0.01 | 1.32 | 0.95–1.83 | 0.1 |
rs9890413 (A/G) | 113/220 | 78.8 | 78.9 | 0.89 | 0.94 | 0.64–1.39 | 0.77 | |||
Lu (2015) [23] | China | Asian | rs3809857 (G/T) | 236/400 | 76.5 | 69.9 | 0.05 | 1.4 | 1.08–1.82 | 0.01 |
rs9890413 (A/G) | 236/400 | 92.6 | 96.9 | 0.60 | 0.4 | 0.24–0.68 | 0.0007 | |||
Menezes (2010) [22] | U.S.A. | Caucasian | rs142167 (A/G) | 463/303 | NA | NA | >0.05 | 1.61 | 1.29–2.02 | 2.80E-05 |
rs199498 (C/T) | 463/303 | NA | NA | >0.05 | 1.34 | 1.06–1.68 | 0.01 | |||
rs111769 (C/T) | 463/303 | NA | NA | >0.05 | 0.73 | 0.59–0.90 | 0.003 | |||
rs9890413 (A/G) | 463/303 | NA | NA | >0.05 | 1.40 | 1.12–1.74 | 0.002 | |||
Mostowska (2012) [21] | Poland | Caucasian | rs3809857 (G/T) | 210/244 | 63.8 | 57.8 | 0.81 | 1.29 | 0.99–1.68 | 0.06 |
rs12452064 (A/G) | 210/244 | 55.7 | 55.1 | 0.41 | 1.02 | 0.79–1.33 | 0.86 | |||
rs7207916 (A/G) | 210/244 | 59.0 | 62.5 | 0.90 | 0.87 | 0.66–1.13 | 0.29 | |||
rs9890413 (A/G) | 210/244 | 73.3 | 69.3 | 0.83 | 1.22 | 0.91–1.63 | 0.18 | |||
Nikopensius (2010) [20] | Estonia | Caucasian | rs11653738 (T/C) | 104/606 | 41.4 | 31.7 | >0.05 | 1.518 | 1.123–2.053 | 0.0064 |
Rafighdoost (2018) [19] | Iran | Asian | rs3809857 (G/T) | 120/112 | 76.7 | 71.0 | 0.77 | 1.34 | 0.89–2.04 | 0.16 |
rs9890413 (A/G) | 120/112 | 90.8 | 88.8 | 0.05 | 1.24 | 0.68–2.28 | 0.48 | |||
Xin (2013) [18] | China | Asian | rs142167 (G/A) | 371/258 | 66.2 | 69.0 | 0.82 | 0.88 | 0.69–1.12 | 0.29 |
rs7216231 (A/G) | 371/258 | 64.7 | 68.2 | 0.86 | 0.85 | 0.67–1.08 | 0.19 |
Abbreviations: NA, not available.
Item/study . | Farrokhi Karibozorg (2018) . | Lu (2015) . | Menezes (2010) . | Mostowska (2012) . | Nikopensius (2010) . | Rafighdoost (2018) . | Xin (2013) . |
---|---|---|---|---|---|---|---|
Adequate definition of cases | * | * | * | * | * | * | * |
Representativeness of cases | - | - | - | - | - | - | - |
Selection of control subjects | - | - | - | - | * | - | - |
Definition of control subjects | * | * | * | * | * | * | * |
Control for important factor or additional factor | * | - | - | ** | - | ** | - |
Exposure assessment | * | * | * | * | * | * | * |
Same method of ascertainment for all subjects | * | * | * | * | * | * | * |
Non-response rate | * | * | * | * | * | * | * |
Item/study . | Farrokhi Karibozorg (2018) . | Lu (2015) . | Menezes (2010) . | Mostowska (2012) . | Nikopensius (2010) . | Rafighdoost (2018) . | Xin (2013) . |
---|---|---|---|---|---|---|---|
Adequate definition of cases | * | * | * | * | * | * | * |
Representativeness of cases | - | - | - | - | - | - | - |
Selection of control subjects | - | - | - | - | * | - | - |
Definition of control subjects | * | * | * | * | * | * | * |
Control for important factor or additional factor | * | - | - | ** | - | ** | - |
Exposure assessment | * | * | * | * | * | * | * |
Same method of ascertainment for all subjects | * | * | * | * | * | * | * |
Non-response rate | * | * | * | * | * | * | * |
A study could be awarded a maximum of one star for each item except for the item ‘Control for important factor or additional factor’.
The definition/explanation of each column of the NOS is available from http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp.
Quantitative data analyses
Quantitative data analysis was planned to be performed for each locus polymorphism in the WNT3 gene. However, owing to limited degrees of freedom, meta-analyses were only carried out on rs3809857 and rs9890413.
rs3809857 polymorphism and NSCL/P susceptibility
Meta-analysis for rs3809857 polymorphism and NSCL/P susceptibility was available on four studies including 679 cases and 976 controls [19,21,23,24]. As no heterogeneity amongst the four studies was observed (P=0.98, I2 = 0%), the fixed-effect model was employed for calculating the association between rs3809857 and NSCL/P. The finding indicated that rs3809857 polymorphism was significantly associated with NSCL/P vulnerability (G compared with T, OR = 1.34, 95%CI: 1.15–1.56, P=0.0001, Figure 2).
Forest plot of rs3809857 in WNT3 gene and risk of NSCL/P
rs9890413 polymorphism and NSCL/P susceptibility
Meta-analysis for rs9890413 polymorphism and NSCL/P susceptibility was based on five studies [19,21–24], containing 1142 cases and 1279 controls. Because considerable heterogeneity amongst the five studies was detected (P=0.0004, I2 = 81%), the random-effect model was applied for data combination. The result suggested a null association between rs9890413 polymorphism and NSCL/P vulnerability (A compared with G, OR = 0.99, 95%CI: 0.68–1.43, P=0.0004, Figure 3).
Forest plot of rs9890413 in WNT3 gene and risk of NSCL/P
Other polymorphisms and NSCL/P susceptibility
Since only few studies reported detailed data about the association between rs142167, rs7207916, rs199498, rs111769, rs12452064, rs11653738, and NSCL/P risk, these results were not merged using a meta-analytic approach, providing a narrative description as an alternative.
Two studies reported rs142167 polymorphism and NSCL/P susceptibility with similar sample size but conflicting outcomes. Menezes et al. [22] found rs142167 was significantly associated with NSCL/P across Caucasian population (A compared with G, OR = 1.61, 95%CI: 1.29–2.02, P=0.000028), while the study by Xin et al. [18] found a null association between rs142167 and NSCL/P amongst Chinese population (OR = 0.88, 95%CI: 0.69–1.12, P=0.29).
Only one study investigated rs7207916 polymorphism and NSCL/P susceptibility [21]. No significant correlation was found between rs7207916 and NSCL/P amongst Polish population (A compared with G, OR = 0.87, 95%CI: 0.66–1.13; P=0.29).
Menezes et al. [22] reported the association of rs199498 as with rs111769 polymorphism and risk of NSCL/P. The two locus polymorphisms significantly associated with NSCL/P. rs199498 polymorphism appeared to increase NSCL/P risk (C compared with T, OR = 1.34, 95%CI: 1.06–1.68, P=0.01), yet rs111769 polymorphism tended to reduce NSCL/P risk (C compared with T, OR = 0.73, 95%CI: 0.59–0.90, P=0.003).
Mostowska et al. [21] studied the rs12452064 polymorphism and NSCL/P susceptibility. The major allele had a similar distribution in both cases and controls, and no significant relationship was observed between rs12452064 and NSCL/P (A compared with G, OR = 1.02, 95%CI: 0.79–1.33, P=0.86).
Nikopensius et al. [20] investigated the association of rs11653738 and NSCL/P susceptibility with 106 cases and 696 controls of Caucasian. Their findings suggested rs11653738 tended to significantly increase NSCL/P risk (T compared with C, OR = 1.518, 95%CI: 1.123–2.053, P=0.0064).
Sensitivity analysis and publication bias
The leave-one-out sensitivity analyses were employed to test the robustness and reliability of the outcomes. For rs9890413, when the study by Lu et al. [23] was removed, the overall effect changed and the heterogeneity became pretty small (I2 = 4%, P=0.37). Therefore, this study was deemed as the source of heterogeneity across included studies, as a result we excluded this study from the meta-analysis and recalculated the OR and 95%CI for the association of rs9890413 and NSCL/P. The outcome became stable when performing sensitivity analysis again, and indicated a significant association between rs9890413 polymorphism and NSCL/P susceptibility (A compared with G, OR = 1.25, 95%CI: 1.06–1.47, P=0.007, Figure 4). Sensitivity analysis for rs3809857 polymorphism suggested a robust and credible result (detailed data not shown). The funnel plots were visually symmetrical (Figures 5 and 6). The Egger’s test (rs3809857: t = −0.21, P=0.856; rs9890413: t = −1.03, P=0.413) and Begg’s test (rs3809857: z = −0.34, P=1.000; rs9890413: z = 0.34, P=0.734) for rs3809857 and rs9890413 also suggested no statistically significant publication bias. Subgroup analyses by type of NSCL/P and ethnicity were not conducted in the present study because of limited number of included studies.
The leave-one-out sensitivity analysis of rs9890413 in WNT3 gene and risk of NSCL/P
Funnel plot of rs3809857 in WNT3 gene and risk of NSCL/P
Funnel plot of rs9890413 in WNT3 gene and risk of NSCL/P
Functional predictions
The GTEx database was used to study the relationship between genetic variations and gene expressions in human tissue. We found that the T allele of rs3809857 is associated with lower expression in testis (P=1.8e-7; Figure 7A), pancreas (P=3.3e-7; Figure 7B), and thyroid (P=4.6e-7; Figure 7C); the G allele of rs9890413 is associated with lower WNT3 expression in subcutaneous adipose (P=0.0000024; Figure 7D), tibial nerve (P=0.000053; Figure 7E), and lung (P=0.000085; Figure 7F). HaploReg is a tool for exploring annotations of the non-coding genome based on well-established GWAS or novel datasets of variants, the results were shown in Figure 8.
QTL box plots of rs3809857 and rs9890413 in different types of human tissues based on the GTEx analysis.
eQTL box plots of rs3809857 and rs9890413 in human tissues: (A) rs3809857 and testis; (B) rs3809857 and pancreas; (C) rs3809857 and thyroid; (D) rs9890413 and subcutaneous adipose; (E) rs9890413 and tibial nerve; (F) rs9890413 and lung. Abbreviation: eQTL, expression Quantitative Trait Loci.
eQTL box plots of rs3809857 and rs9890413 in human tissues: (A) rs3809857 and testis; (B) rs3809857 and pancreas; (C) rs3809857 and thyroid; (D) rs9890413 and subcutaneous adipose; (E) rs9890413 and tibial nerve; (F) rs9890413 and lung. Abbreviation: eQTL, expression Quantitative Trait Loci.
HaploReg view of rs3809857 and rs9890413 in WNT3 gene using HaploReg version 4.1.
HaploReg view of rs3809857 and rs9890413: (A) rs3809857; (B) rs9890413.
HaploReg view of rs3809857 and rs9890413: (A) rs3809857; (B) rs9890413.
Discussion
Albeit recognition of risk factors for NSCL/P can help identify high-risk individuals, provide information for genetic consultation, as well as promote the establishment of preventive strategy, the precise pathophysiology of this disorder is not yet well understood. Intrinsic factors in synergy with extrinsic factors are proposed to be the potential etiology [33]. As an intrinsic factor, WNT3 gene has received considerable attention over recent years. Several studies across different populations have been performed on the associations between WNT3 polymorphisms and NSCL/P vulnerability.
However, there seems to have a race to discover genetic factors that are responsible for NSCL/P. Once finding a novel factor, there remains minimal interest to investigate it further, with most researchers aiming to look for new factors. The research on WNT3 polymorphisms is without exception. Several polymorphisms in WNT3 gene have been described, but only two of them were further studied by several authors and therefore appropriated for the final meta-analyses. Candidate gene association studies most commonly test for a difference in the allele frequency, the allele distributions in cases and controls could provide useful, direct summary statistics for the data. When several genetic model of inheritance are used for meta-analysis, a correction for multiple testing should be applied to avoid yielding false-positive results. Since insufficient information on genotype distribution was provided by our included studies, only allele effect was estimated in the current meta-analysis.
Majority of included studies presented insignificant correlation between rs3809857 and rs9890413 polymorphisms and NSCL/P vulnerability. Nevertheless, the pooled data indicated significant outcomes, which suggested restricted statistical power of each individual study. For rs9890413, when the study by Lu et al. was removed, the overall effect changed and the heterogeneity became insignificant (I2 = 4%, P=0.37). In comparison with other included studies, Lu et al. reported a much higher A allele frequency in both NSCL/P group (Lu: 92.6% compared with mean: 81.0%) and control groups (Lu: 96.9% compared with mean: 79.0%). As a result, study by Lu et al. [23] was excluded in our meta-analysis. Variations in single nucleotide polymorphism (SNP) frequencies are seen across the major population groups because of random drift, novel mutations, and selection. It is possible that the A allele of rs9890413 plays a protective role against NSCL/P in Chinese, but it increases the risk of NSCL/P in the other populations, this hypothesis needs to be confirmed by further well-designed and population-based investigations with larger sample size.
Apart from the two loci, rs199498, rs111769, and rs11653738 polymorphisms appeared to significantly correlate to NSCL/P, but these significant findings were only supported by limited evidence, with only one or two studies focussing on these polymorphisms. A null association was yielded between rs7216231 and NSCL/P, but conflicting evidence was observed for the association of rs142167 and NSCL/P. Of included studies, three studies investigated whether there was subphenotype specificity between WNT3 polymorphisms and NSCL/P. Only Menezes et al. [22] study with relatively large sample size obtained a positive result. Due to limited datasets of included studies, we were not allowed to carry out a precise subgroup analysis to determine etiological characteristics amongst CL, CP, as well as CLP.
The lip and palate in human embryo commences to differentiate at the fourth week and is completely formed by the twelfth week of gestation [34]. Formation of the upper lip and palate is a complex process and is composed of a range of highly co-ordinated steps during tissue morphogenesis, which are rigorously dominated by genetic networks. This process mainly comprises migration of ectoderm and formation of frontal, medial, and lateral nasal processes [34]. Malformation of the palate, lip, and nose are results of the disturbance of normal development.
It has been widely accepted that the WNT genes are widely implicated in regulating facial processes as well as upper lip fusion. Upon the binding of WNT ligands and Frizzled receptors, a series of intracellular signaling pathways are activated, which are well-known as canonical and non-canonical WNT pathways. WNT product is observed in the upper lip as well as primary and secondary palates [14]. WNT3, a vital member of WNT family, is mapped to chromosome 17q21.31-q21.32 [35]. WNT3 is required at the earliest stages of human craniofacial development. Juriloff et al. [36] found the clf1 locus mapped in cleft susceptible mice contained WNT3 genes. Lewis et al. [37] reported that head development is sensitive to the level of WNT3 signaling, and reducing the dose of WNT3 could partially rescue the truncated head phenotype. Moreover, Song et al. [38] have suggested that WNT3 could control lip development by binding to LRP6, which is a main co-receptor required to initiate the canonical WNT signaling. A large consanguineous family study has revealed that homozygous nonsense mutations in WNT3 gene can result in craniofacial defects [39]. Considering the aforementioned reasons, variants directly or indirectly affecting the expression or protein properties of WNT3 could be plausible candidates that contribute to phenotypic differences amongst populations.
As the most abundant type of genetic variant, SNPs contribute substantially to phenotypic differences amongst individuals. The past two decades have witnessed great advance in the mapping of loci for NSCL/P. Regarding research on WNT3 polymorphisms and NSCL/P, Chiquet et al. [17] first investigated the correlation between WNT3 polymorphisms and the risk of developing NSCL/P amongst Hispanic and European American. rs9890413 located in the upstream of WNT3 gene and rs3809857 within intron region of WNT3 may not have direct effect on properties of WNT3 protein, they might influence the splicing and stability of non-coding RNA and thereby influence the risk of NSCL/P. Since only a few studies have been performed to evaluate the impact of WNT3 polymorphisms on NSCL/P, whether and how the polymorphisms of WNT3 contributes to the risk of NSCL/P has not been confirmed by functional experiments. In order to gain insights into the underlying mechanisms, we employed GTExPortal to test if there is a direct association between different genotypes of WNT3 polymorphisms and altered expression of WNT3 protein in human tissues. Based on the results of expression Quantitative Trait Loci (eQTL), G allele of rs3809857 is associated with higher WNT3 expression in human testis (Figure 7A), pancreas (Figure 7B), and thyroid (Figure 7C), while A allele of rs9890413 is related with higher expression of WNT3 in subcutaneous adipose (Figure 7D), tibial nerve (Figure 7E), and lung (Figure 7F). Furthermore, the HaploReg 4.1 online database was applied to develop mechanistic hypotheses of the impact of rs3809857 (Figure 8A) and rs9890413 (Figure 8B). According to HaploReg, enhancer histone marks for rs3809857 were found in 12 human tissues, whereas enhancer histone marks for rs9890413 was only found in human blood. Additionally, rs3809857 was in linkage disequilibrium with rs17692129 and rs35937770 using a threshold of r2 ≥ 0.8. Notably, rs17692129 and rs35937770 are both polymorphisms within intron of NSF gene. As far as we know, NSF is involved in intracellular protein transport, but the impact of NSF polymorphisms on NSCL/P has not yet been confirmed. Taken together, both rs3809857 and rs9890413 have regulatory motifs changed, and both the variants are associated with altered expression of WNT3 in human organs, which could be one of the reasons why these polymorphisms confer risk of NSCL/P. To test these hypotheses, more functional experiments are still needed.
As far as we have known, the present study is the first comprehensive meta-analysis of the potential association between the WNT3 polymorphisms and the risk of NSCL/P vulnerability. To improve the interpretation of the results, some limitations of the present study should be considered. First of all, in terms of the sample size, individual studies used hundreds but not thousands of participants, thus lacking adequately statistic power to guarantee the association. Second, we only investigated the role of eight loci polymorphisms separately. However, like most complex disorders, NSCL/P is caused by multiple loci polymorphisms and a string of genes with synergetic effects. Interactions of these loci and genes might conceal or magnify the actual function of a single locus polymorphism. Third, only five articles in English and two in Chinese from six databases were retrieved for the meta-analysis, potential relevant articles published in other languages might have been skipped, which might incur inclusion criteria bias. Fourth, due to lack of available data, we only conducted meta-analysis under allele model. At last, as all the component studies were hospital-based, the selection bias of participants might be introduced, hence limiting the extrapolation to general population of the current findings.
Conclusion
More evidence is needed to uncover the association between WNT3 polymorphisms and NSCL/P risk, based on the results of our meta-analysis we did find some genetic variants in WNT3 gene that possibly contribute to the risk of NSCL/P. The present study suggested that G allele of rs3809857and A allele of rs9890413 polymorphisms in WNT3 were significantly associated with increased NSCL/P vulnerability. Both rs3809857 and rs9890413 have regulatory motifs changed, and both the variants are associated with altered expression of WNT3 in human organs, which could be one of the reasons why these polymorphisms confer risk of NSCL/P. Insufficient evidence is found to support the association between other WNT3 polymorphism and risk of NSCL/P. Concerning limitations of the current study, our findings need further confirmation by well-designed and population-based investigations with larger sample size amongst more ethnicities.
Competing interests
The authors declare that there are no competing interests associated with the manuscript.
Funding
This work was supported by the National Natural Science Foundation of China [grant number 81701912]. The funding source had no involvement in study design, data collection, data analysis and interpretation.
Author contribution
Z.-t.L. had full access to all of the data in the present study and takes responsibility for the integrity of the data and the accuracy of the data analysis. B.-q.W. produced the idea to this analysis, did the literature search, analyzed the data, and drafted the present paper. S.-t.G. designed the data collection tool, did the literature search, analyzed the data, and revised the manuscript. B.-q.W. and S.-t.G. contributed equally to this work. K.C., Y.X., Z.-q.X., and J.-m.S. were responsible for statistical analysis and acquisition of data, they revised the final manuscript. All authors read and approved the final manuscript.
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References
Author notes
These authors contributed equally to this work.