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. 2015 Mar 20;10(3):e0121147. doi: 10.1371/journal.pone.0121147

MTHFR 677C>T Polymorphism Increases the Male Infertility Risk: A Meta-Analysis Involving 26 Studies

Mancheng Gong 1,2, Wenjing Dong 3, Tingyu He 4, Zhirong Shi 5, Guiying Huang 6, Rui Ren 2, Sichong Huang 2, Shaopeng Qiu 1,*, Runqiang Yuan 2,*
Editor: W Steven Ward7
PMCID: PMC4368707  PMID: 25793386

Abstract

Background and Objectives

Methylenetetrahydrofolate reductase (MTHFR) polymorphism may be a risk factor for male infertility. However, the epidemiologic studies showed inconsistent results regarding MTHFR polymorphism and the risk of male infertility. Therefore, we performed a meta-analysis of published case-control studies to re-examine the controversy.

Methods

Electronic searches of PubMed, EMBASE, Google Scholar and China National Knowledge Infrastructure (CNKI) were conducted to select eligible literatures for this meta-analysis (updated to June 19, 2014). According to our inclusion criteria and the Newcastle-Ottawa Scale (NOS), only high quality studies that observed the association between MTHFR polymorphism and male infertility risk were included. Crude odds ratio (OR) with 95% confidence interval (CI) was used to assess the strength of association between the MTHFR polymorphism and male infertility risk.

Results

Twenty-six studies involving 5,575 cases and 5,447 controls were recruited. Overall, MTHFR 677C>T polymorphism showed significant associations with male infertility risk in both fixed effects (CT+TT vs. CC: OR = 1.34, 95% CI: 1.23–1.46) and random effects models (CT+TT vs. CC: OR = 1.39, 95% CI: 1.19–1.62). Further, when stratified by ethnicity, sperm concentration and control sources, the similar results were observed in Asians, Caucasians, Azoo or OAT subgroup and both in population-based and hospital-based controls. Nevertheless, no significant association was only observed in oligo subgroup.

Conclusions

Our results indicated that the MTHFR polymorphism is associated with an increased risk of male infertility. Further well-designed analytical studies are necessary to confirm our conclusions and evaluate gene-environment interactions with male infertility risk.

Introduction

Infertility has been acknowledged as a very common health problem that affects approximately 15%-20% of couples who want to conceive [1], and almost 50% cases are because of male factors. Despite significant advancements in the male infertility diagnoses, the etiology remains unknown in almost half of all male infertile cases [2]. However, spermatogenic failure is the most common phenomenon among these cases. At present, it has been postulated that genetic abnormalities are thought to account for 15%-30% of male factor infertility, which include Y chromosome microdeletions, translocation, chromosomal aberrations and single-gene mutations [3–6]. In many infertile men, deleterious gene polymorphisms in key genes involved in testicular function, combined with environmental factors, may be responsible for the poor quality and number reduction of the sperm.

Folate is very important for the maintenance of genome integrity due to its role in DNA synthesis, repair and methylation [7, 8]. It is known that folate deficiency occur frequently, and the related hyperhomocysteinaemia is considered as a risk factor for various diseases, including infertility. Methylenetetrahydrofolate reductase (MTHFR) is one of the key regulatory enzymes in folate metabolism which can catalyze the reduction of 5,10-methylenetetrahydrofolate to 5-methyltetrahydrofolate, the methyl donor for homocysteine in the synthesis of methionine. Subsequently, methionine in its activated form S-adenosylmethionine is the methyl donor for DNA methylation [9]. Methylation anomalies of sperm DNA has been linked to male infertility [10]. Moreover, it has been reported that the folate metabolic pathways can be modified by polymorphisms of relevant genes such as MTHFR or by the action of carcinogenic elements, for example, alcohol or tobacco [11].

The MTHFR gene, located on the short arm of chromosome1 (1p36.3), which is composed of 11 exons [12, 13]. The change of C for T at the nucleotide position 677 of the MTHFR gene causes the substitution of valine for alanine in the MTHFR protein and a consequent reduction in enzyme activity. The MTHFR 677C>T variant decreases the activity of the enzyme by 35% in the presence of heterozygosis and by 70% in homozygosis [12]. Reduced enzymatic activity due to MTHFR polymorphisms is considered as a risk factor for many diseases, including infertility [14].

Recent years, a number of epidemiological studies have been conducted to examine the association between MTHFR 677C>T polymorphism and male infertility risk in diverse populations, but the results of these studies remain conflicting rather than conclusive. Some studies exhibited significantly increased risk of male infertility with MTHFR 677C>T, while some other studies showed nonsignificantly enhanced risk. As a result, there were five meta-analyses [15–19] performed to examine the association between MTHFR 677C>T polymorphism and the risk of male infertility, however, the results still inconsistent. Moreover, many new researches studied the association between male infertility risk and MTHFR 677C>T after the last meta-analysis researching, so an updated and high quality meta-analysis is needed.

In order to evaluate the association between the MTHFR 677C>T polymorphism and male infertility risk, we carried out a meta-analysis with subgroup analysis using all the eligible published data until June 19, 2014.

Materials and Methods

Search Strategy and Selection Criteria

According to the Meta-analysis on Genetic Association Studies Checklist (S1 Checklist), we conducted a computer-based systematic search of PubMed, EMBASE, Google Scholar and China National Knowledge Infrastructure (CNKI) without restriction on language (updated to June 19, 2014). The key words were as follows: ‘‘methylenetetrahydrofolate reductase” or “MTHFR”, ‘‘polymorphism” or ‘‘variant”, “infertility” or ‘‘azoospermia” or “oligoasthenoteratozoospermia” or ‘‘oligozoospermia” or “subinfertility”. In addition, we checked the references of all eligible articles which our research retrieved. For the meta-analysis, the following inclusion criteria were considered: (1) studied on human beings; (2) studies which evaluated the association between MTHFR 677C>T polymorphism and male infertility risk; (3) studies with case-control design; (4) sufficient published data about the size of the sample, odds ratio (OR), and their 95% confidence interval (CI). For the exclusion criteria, we provided as follows: (1) without raw data for the calculation of odds ratios (ORs) with corresponding 95% confidence intervals (95% CIs); (2) when studies with overlapping cases or controls, we included only the most recent or the largest report.

Data Extraction

According to the inclusion and exclusion criteria, the two investigators (Tingyu He and Zhirong Shi) extracted raw data independently in order to ensure the accuracy of extracted information. For conflicting evaluations, an agreement was reached following a discussion. The following information was collected from all eligible studies showing in Table 1: the surname of the first author, date of publication, quality scores, ethnicity, sperm concentration subgroup categories, sources of controls, number of cases and controls and the P value of Hardy Weinberg Equilibrium (HWE). Different ethnic groups were mainly categorized as Caucasian, Asian and African. According to the sperm concentration, we divided the subgroup as azoospermia (Azoo), oligoasthenoteratozoospermia (OAT) and oligozoospermia (oligo) groups. Study designs were stratified to population-based studies and hospital-based studies.

Table 1. Characteristics of eligible studies in the meta-analysis of MTHFR 677C>T polymorphism and male infertility.

Cases Controls
First author Year Quality scores Group Design Total CC CT TT Total CC CT TT P HWE
Asians
    Park 2005 6 Total HB 373 105 205 63 396 145 200 51 0.161
Azoo 286 75 164 47
OAT 85 28 40 17
    Lee 2006 6 Total HB 360 115 181 64 325 118 166 41 0.138
Azoo 174 44 100 30
OAT 186 71 81 34
    A 2007 6 Total NA 355 130 160 65 252 128 95 29 0.085
Azoo 228 83 97 48
oligo 127 47 63 17
    Sun 2007 5 Total PB 182 27 86 69 53 15 28 10 0.630
OAT 22 3 11 8
oligo 46 10 20 16
    Yang 2010 5 Total PB 131 34 55 42 293 98 142 53 0.901
    Qiu 2011 6 Total NA 271 75 112 84 180 63 85 32 0.720
Azoo 158 42 66 50
oligo 113 33 46 34
    Safarinejad 2011 6 OAT HB 164 58 80 26 328 144 148 36 0.825
    Liu 2012 7 Total PB 75 27 38 10 72 40 28 4 0.753
    Pei 2013 7 Total PB 290 39 138 113 90 24 47 19 0.651
    Li 2014 6 Total HB 82 14 36 32 133 36 61 36 0.340
Caucasians
    Ebisch 2003 7 Total PB 77 42 28 7 113 50 48 15 0.522
    Stuppia 2003 5 Total NA 93 37 37 19 105 33 43 29 0.065
Azoo 21 8 6 7
oligo 66 25 29 12
    Singh 2005 6 Total PB 151 105 40 6 200 163 37 0 0.149
    Paracchini 2006 6 Total PB 59 11 32 16 46 18 21 7 0.830
    Ravel 2009 6 Total HB 250 118 101 31 114 49 52 13 0.887
Azoo 70 33 31 6
oligo 180 85 70 25
    Murphy 2011 7 Total PB 149 73 63 13 182 94 73 15 0.876
    Gupta 2011 5 Total HB 522 378 116 28 315 251 58 6 0.228
Azoo 68 49 15 4
OAT 65 41 23 1
    Chellat 2012 5 Total NA 74 31 33 10 84 36 38 10 0.995
Azoo 46 20 19 7
OAT 28 11 14 3
    Weiner 2013 6 Total PB 271 129 116 26 301 153 115 33 0.112
Azoo 98 49 41 8
oligo 82 40 31 11
    Naqvi 2014 5 Total NA 637 447 154 36 364 275 79 10 0.145
Azoo 49 34 11 4
OAT 65 39 24 2
oligo 37 23 12 2
    Mfady 2014 6 Total HB 150 67 63 20 150 74 67 9 0.221
Africans
    Eloualid 2012 5 Total NA 257 152 88 17 690 351 286 53 0.617
Azoo 110 65 37 8
oligo 147 87 51 9
Not mentioned
    Gava (37) 2011 7 Total PB 156 81 60 15 233 167 53 13 0.003
Azoo 49 27 15 7
oligo 107 54 45 8
    Gava (49) 2011 7 Total PB 133 66 51 16 173 136 27 10 0.000
Azoo 55 35 14 6
oligo 78 31 37 10
    Vani 2012 6 Total HB 206 158 42 6 230 188 42 0 0.128
    Camprubí 2013 6 Total PB 107 47 43 17 25 8 15 2 0.172
oligo 23 12 9 2
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Azoo-azoospermia; OAT-oligoasthenoteratozoospermia; oligo-oligozoospermia

HB, hospital-based controls; PB, population-based controls

HWE, Hardy Weinberg Equilibrium

NA, not available

Quality assessment

Three authors (Guiying Huang, Rui Ren and Sichong Huang) assessed the study quality independently based on the Newcastle-Ottawa Scale [20], which uses a star rating system to judge the methodological quality. A full score is 9 stars, and a score range 5 to 9 stars is considered to be a generally high methodological quality while a score range 0 to 4 is considered to be a poor quality [21]. The quality of all included studies was summarized in Table 2. Any disagreements on the NOS score of the studies were resolved through a comprehensive reassessment by the other authors and only high quality studies can be included in our meta-analysis.

Table 2. Quality assessment based on the Newcastle-Ottawa Scale of studies included in this meta-analysis a .

First author Year Adequate definition of case Representativeness of cases Selection of control Definition of control Control for important factor or additional factor b Exposure assessment Same method of ascertainment for cases and controls Nonresponse rate Total quality scores
Ebisch 2003 ★ ★ ★ ★ ★★ ★ 7
Stuppia 2003 ★ ★ ★★ ★ 5
Park 2005 ★ ★ ★ ★★ ★ 6
Singh 2005 ★ ★ ★ ★★ ★ 6
Lee 2006 ★ ★ ★ ★★ ★ 6
Paracchini 2006 ★ ★ ★ ★ ★ ★ 6
A 2007 ★ ★ ★ ★★ ★ 6
Sun 2007 ★ ★ ★ ★ ★ 5
Ravel 2009 ★ ★ ★ ★★ ★ 6
Yang 2010 ★ ★ ★ ★ ★ 5
Gava (37) 2011 ★ ★ ★ ★ ★★ ★ 7
Gava (49) 2011 ★ ★ ★ ★ ★★ ★ 7
Safarinejad 2011 ★ ★ ★ ★★ ★ 6
Murphy 2011 ★ ★ ★ ★ ★★ ★ 7
Qiu 2011 ★ ★ ★ ★★ ★ 6
Gupta 2011 ★ ★ ★ ★ ★ 5
Eloualid 2012 ★ ★ ★★ ★ 5
Chellat 2012 ★ ★ ★ ★ ★ 5
Vani 2012 ★ ★ ★ ★★ ★ 6
Liu 2012 ★ ★ ★ ★ ★★ ★ 7
Camprubí 2013 ★ ★ ★ ★ ★ ★ 6
Pei 2013 ★ ★ ★ ★ ★★ ★ 7
Weiner 2013 ★ ★ ★ ★★ ★ 6
Naqvi 2014 ★ ★ ★ ★ ★ 5
Mfady 2014 ★ ★ ★ ★★ ★ 6
Li 2014 ★ ★ ★ ★★ ★ 6
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aA study can be awarded a maximum of one star for each numbered item except for the item Control for important factor or additional factor.

bA maximum of two stars can be awarded for Control for important factor or additional factor.

Statistical Analysis

The association between MTHFR 677C>T polymorphism and the male infertility risk were estimated by pooled ORs with 95% CI. The statistical significance of the pooled ORs was examined by Z test and P (two-tailed) <0.05 was considered statistically significant. A chi-square test was used to examine the deviation from HWE for controls and P value<0.05 signified a departure from HWE. In this meta-analysis, heterogeneity between studies was assessed by the I 2 test and which was considered statistically significant with I 2>50% [22]. A fixed (the Mantel-Haenszel method) [23] or random effects model (the DerSimonian and Laird method) [24] was used to calculate pooled effect estimates in the absence (I 2≤50%) or presence (I 2>50%) of heterogeneity, respectively. When heterogeneity between studies is absent, these two models provide similar results, if not, the random effects model is more appropriate. Subgroup analysis was performed by ethnicity, sperm concentration and the control sources. In addition, to assess the stability of results, sensitivity analysis was performed by omitting one study at a time and calculating the overall homogeneity and effect size. As publication bias was always concerned in meta-analysis, an evaluation of which was carried out with funnel plot and Egger’s test (P<0.05 was significant publication bias) [25]. The statistical analysis was performed with STATA statistical software (Version 12.0; Stata Corporation, College Station, TX, USA).

Results

Study characteristics

Through a literature searching, initially a total of 46 potentially relevant publications were indentified. Out of these, eleven studies were eliminated because they did not investigate the association between the MTHFR 677C>T polymorphism and male infertility risk. After data extraction, we excluded 4 articles from the meta-analysis. One of them had no controls [26] while one of them had no cases [27], besides, the other two studies were excluded as one did not provide detailed information needed for OR calculation [28] while the last one did not directly research about the genotype and male infertility risk [29]. Hence, we obtained 31 relevant articles that examined the association between MTHFR 677C>T and male infertility risk. Among of them, five studies were excluded because of the poor quality, which was evaluated by Newcastle-Ottawa Scale [30–34]. Therefore, only 26 studies qualifying our strict selection criteria were involved in the meta-analysis [11, 16, 19, 35–57] (Fig. 1). We established a database of the extracted information from each eligible article (Table 1). The total data for this analysis included 5,575 cases and 5,447 controls for MTHFR 677C>T polymorphism. All the researches contained in this meta-analysis are case-control studies. Of the 26 studies included in the meta-analysis, there were 10 studies of Asians, 11 studies of Caucasians, 1 study of African and 4 studies did not mention. According to the control sources, general populations were used as controls in 12 studies whereas hospital patients were used in 8 studies and 6 studies did not mention. The genotype distributions among the controls of all studies followed HWE except for two studies [37, 49].

Fig 1. Flow diagram of study selection.

Fig 1

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Overall analysis

MTHFR 677C>T polymorphism showed significant associations with male infertility risk in both fixed effects (CT+TT vs. CC: OR = 1.34, 95% CI: 1.23–1.46, P = 0.000, I 2 = 68.2%; TT vs. CT+CC: OR = 1.60, 95% CI: 1.41–1.81, P = 0.000, I 2 = 36.9%; TT vs. CC: OR = 1.76, 95% CI: 1.53–2.01, P = 0.000, I 2 = 54.0%; T vs. C: OR = 1.32, 95% CI: 1.24–1.41, P = 0.000, I 2 = 71.5%) and random effects models (CT+TT vs. CC: OR = 1.39, 95% CI: 1.19–1.62, P = 0.000, I 2 = 68.2%, Fig. 2A; TT vs. CT+CC: OR = 1.58, 95% CI: 1.34–1.88, P = 0.000, I 2 = 36.9%; TT vs. CC: OR = 1.80, 95% CI: 1.44–2.24, P = 0.000, I 2 = 54.0%; T vs. C: OR = 1.36, 95% CI: 1.20–1.53, P = 0.000, I 2 = 71.5%).

Fig 2. Forest plots of MTHFR 677C>T polymorphism and male infertility risk (CT+TT vs. CC).

Fig 2

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[A for overall populations; B for ethnicity subgroup; C for sperm concentration subgroup; D for control sources subgroup]. The squares and horizontal lines correspond to the study-specific OR and 95% CI. The area of the squares reflects the study-specific weight (inverse of the variance). Diamonds represent the pooled OR and 95% CI. athe 37th reference, bthe 49th reference

Ethnic origin

When stratified by ethnicity, the same associations between the MTHFR 677C>T polymorphism and male infertility were found in Asians (CT+TT vs. CC: fixed effects model, OR = 1.54, 95% CI: 1.35–1.76, P = 0.000, I 2 = 0.0%) and Caucasians (CT+TT vs. CC: fixed effects model, OR = 1.19, 95% CI: 1.05–1.36, P = 0.007, I 2 = 48.1%, Fig. 2B).

Sperm concentration subgroup

Subgroup analyses were also performed for azoospermia (Azoo), oligoasthenoteratozoospermia (OAT) and oligozoospermia (oligo) groups (Fig. 2C). Studies without the genotype frequencies for these subgroups were excluded. Finally, the total number of cases and controls for Azoo, OAT and oligo were 1,412 and 3,532, 615 and 1,865, 1,006 and 2,490, respectively. The results showed enhanced risks of male infertility with the MTHFR 677C>T were acquired both in Azoo (CT+TT vs. CC: fixed effects model, OR = 1.36, 95% CI: 1.18–1.55, P = 0.000, I 2 = 49.1%) and OAT (CT+TT vs. CC: fixed effects model, OR = 1.35, 95% CI: 1.11–1.64, P = 0.003, I 2 = 44.7%) subgroups. Whereas, no significant association was observed in oligo subgroup (CT+TT vs. CC: random effects model, OR = 1.34, 95% CI: 0.91–1.98, P = 0.138, I 2 = 81.7%).

Control sources

When considered the sources of the control groups, five studies were excluded for unclear source of controls. Dramatically elevated risks were found both in population-based (CT+TT vs. CC: random effects model, OR = 1.66, 95% CI: 1.23–2.23, P = 0.001, I 2 = 72.5%) and hospital-based controls (CT+TT vs. CC: fixed effects model, OR = 1.32, 95% CI: 1.15–1.52, P = 0.000, I 2 = 0.0%) (Fig. 2D).

Sensitivity analyses

To assess the effect of individual study on all subjects and subgroups, the sensitivity analyses were performed by excluding one study each time. If the exclusion of any single study did not alter the significance of the final decision, it suggested that the outcomes were robust. However, our corresponding pooled ORs were not materially altered in all subjects and all subgroups. In addition, when excluding the two studies [37, 49] which did not follow HWE, the pooled ORs for all subjects still did not change remarkably (data not shown). Therefore, the results of sensitivity analyses confirmed the stability for our results in this meta-analysis.

Publication bias

For the diagnosis of publication bias, both Begg’s Funnel plot and Egger’s test were performed in this meta-analysis. The shape of the funnel plot was symmetrical and the P value of Egger’s test also suggested that there was no evidence of publication bias (P = 0.339; Fig. 3).

Fig 3. Funnel plot for publication bias of MTHFR 677C>T and infertility risk (CT+TT vs. CC) in overall populations.

Fig 3

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The horizontal line in the funnel plot indicates the random-effects summary estimate. Sloping lines indicate the expected 95% CI for a given SE.

Discussion

Male infertility is a heterogeneous disease, with various genetic and environmental factors contributing to the impairment of spermatogenesis. Spermatogenesis is a complex process that governed by a tightly controlled series of gene expression events [58] and is associated with folate metabolism [59–61]. A possible candidate gene for genetic susceptibility to spermatogenic failure is MTHFR. MTHFR is an important regulatory enzyme in folate metabolism, DNA synthesis and remethylation reactions [62, 63]. It is suggested that the MTHFR might play an important role in spermatogenesis because of its higher activity in testes than in other major organs in the adult mouse [64]. In 2001, Bezold et al. [31] first reported the association between MTHFR 677C>T mutation and the male infertility risk. Subsequently, many epidemiological studies have been addressed to investigate the association between MTHFR 677C>T polymorphism and the risk of male infertility during the past decades, but the findings were inconsistent. Consequently, five meta-analyses [15–19] were conducted to exam the association between male infertility risk and the MTHFR 677C>T polymorphism, however, the results of them were controversial. In addition, the data of last meta-analysis [19] was updated two years ago (Apr. 2012). During these two years, many studies investigated the association between the MTHFR 677C>T polymorphism and male infertility risk were published. Therefore, in order to derive a powerful estimate of the male infertility risk associated with the MTHFR 677C>T polymorphism, we carried out the present meta-analysis.

The present meta-analysis, including 5,575 cases and 5,447 controls from 26 published studies, explored the association between the MTHFR 677C>T polymorphism and male infertility risk. The numbers of contained studies, the cases and controls in this meta-analysis are much more than the prior five meta-analyses. In addition, we did the quality assessment for the studies by Newcastle-Ottawa Scale while all the former meta-analyses did not do. Only the study had good quality of which score was more than 5 stars, then it could be included in the meta-analysis. Hence, our study made a more detailed and convincible evaluation than all the prior meta-analyses did. Overall, we find the MTHFR 677C>T variant genotype were significantly associated with male infertility risk based on both fixed effects and random effects models, and which was consistent with the results of Tüttelmann et al. [15], Gupta et al. [16] and Wu et al. [17], but inconsistent with the results of Wei et al. [18] and Weiner et al. [19]. All the characteristics and results of the present study compared with the former five meta-analyses were summarized in Table 3.

Table 3. Characteristics and results of the present study compared with the former five meta-analyses.

First author Year of publication Time of data updated No. of studies No. of cases No. of controls Quality assessment Overall results Asians Caucasians Azoo OAT Oligo PB HB
Tüttelmann F 2007 NA 8 1843 1791 No + NA NA NA NA NA NA NA
Gupta N 2011 Mar. 2011 14 3094 2877 No + NA NA + − + NA NA
Wu W 2012 Sep. 2010 9 2275 1958 No + + − + − NA NA NA
Wei B 2012 Jan. 2011 11 2217 2312 No − + − NA NA NA NA NA
Weiner AS 2014 Apr. 2012 13 2972 3436 No − NA NA − NA − NA NA
The present study NA Jun. 2014 26 5575 5447 Yes + + + + + − + +
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Azoo-azoospermia; OAT-oligoasthenoteratozoospermia; Oligo-oligozoospermia

HB, hospital-based controls; PB, population-based controls

+, positive result

−, negative result

NA, not available

As heterogeneity for MTHFR 677C>T polymorphism among all the studies was significant, we conducted the subgroup analyses. When stratified by ethnicity, our results indicated that significant male infertility risks of people with MTHFR 677C>T polymorphism both in Asians and Caucasians. We are the first one that reported significant association between MTHFR 677C>T polymorphism and male infertility in Caucasians. Moreover, the heterogeneity was effectively decreased or removed after subgroup analyses by ethnicity. Therefore, as the differences of genetic backgrounds among different populations, one main reason for heterogeneity in this meta-analysis may be the ethnicity.

According to the sperm concentration, we found remarkable associations between Azoo or OAT subgroup and MTHFR 677C>T polymorphism in the present study. While, no strong association was observed in oligo subgroup. Compared with the former meta-analyses, we are the first one reported the MTHFR 677C>T polymorphism has a dramatically increased risk in male infertility susceptibility in OAT subgroup and the sensitivity analysis showed the stabilization of this result. However, as the extreme heterogeneity existed in oligo subgroup, the result of it may be less powerful and we should treat it carefully. Further studies based on oligo and MTHFR 677C>T are necessary to confirm the association.

In addition, when stratified by the sources of the control groups, our results showed that the MTHFR 677C>T polymorphism were dramatic associated with male infertility risk both in population-based and hospital-based controls. At present, it is reported that the MTHFR 677C>T polymorphism could influence the susceptibility to some common diseases, such as type 2 diabetes [65], coronary heart disease [66] and colorectal cancer, et al. [67]. Thus, the data on hospital-based controls may have a high risk of inducing unreliable result because it may not always represent the general population indeed, especially when the genotype under investigation are expected to affect other diseases. However, we obtained consistent results between population-based and hospital-based controls.

In recent years, the application of the genome-wide association study (GWAS) in many types of diseases has exploded. Until now, there are twelve GWASs about male infertility, and two of them [68, 69] mentioned the MTHFR 677C>T polymorphism. However, concerned with the male infertility and MTHFR 677C>T polymorphism, the results of these two GWASs were inconsistent with our meta-analysis. The reasons of this phenomenon are possibly as follows: (1) These two GWASs both conducted by Aston KI only included Caucasians of European decent, while we included men of other ethnicities. SNP frequencies vary widely between ethnic groups, for example, the frequency of the MTHFR 677C>T allele varies significantly among populations, ranging from 30% to 40% in Europe and America to 5% to 10% in Africa and Sri Lanka [70, 71]; (2) The small sample size both of these two GWASs (Aston et al., 2009: 80 controls, 92 cases; Aston et al., 2010: 158 controls, 282 cases) limited the interpretation of the results. However, a large portion of the heritability of complex diseases has not been well explained by GWASs [72]. About missing heritability, one plausible explanation may be the loss of low-frequency variants, which are not well captured by current genotyping arrays [73]. Another explanation is that the common variants of small effect sizes, do not reach the thresholds of genome wide significance in GWASs [74].

Although several previous meta-analyses have researched the association between male infertility risk and MTHFR 677C>T polymorphism, our study was more rigorous and comprehensive. First, more up-to-date studies (26 studies) that contained a substantial number of cases and controls were pooled from published studies, which dramatically increased the statistical power of the analysis. Second, the quality of studies included in this meta-analysis was satisfactory, as we first used the Newcastle-Ottawa Scale to assess the quality of the articles. When the study met our strict criteria, it could be enrolled in. Third, we are the first that showed the significantly increased risk between MTHFR 677C>T polymorphism and male infertility in Caucasians and OAT subgroup. Also, for the first time we performed in detail to check into the association between male infertility risk and MTHFR 677C>T polymorphism according to the control sources. Our results showed obvious higher male infertility risk in both population-based and hospital-based controls.

Nonetheless, there are some limitations should be addressed in this meta-analysis. First of all, the heterogeneities for MTHFR 677C>T polymorphism among all the studies was dramatic. Even though we conducted subgroup analyses and the heterogeneity was efficiently decreased or removed in some subgroups, it still existed in the population-based controls and oligo subgroup. Several reasons could explain the significant heterogeneity. First, lifestyle factors especially intake of folate and B-vitamins may play a role. For instance, deficient intake of folate and vitamin B12 is prevalent in India [75–77]; in contrast, sufficient intake of folate is prevalent in France [78], Korea [11] and Italy [79]. Second, due to the various genotyping methods used in the studies, the genotyping error is hard to avoid. However, when we eliminated the studies which did not follow the HWE, our results did not change statistically. Third, it has been shown that there were other underlying confounding factors in the included studies, such as gene-environment interaction, or selection bias, or chance [80, 81]. Although evidence of heterogeneity exists, our overall results used by fixed effects models were consistent with which used by random effects models. Moreover, the sensitivity analyses results showed that all of our results were stable and certain. Secondly, as the use of unadjusted data, some potential confounding factors, such as age, sex and residence might slightly modify the effective estimates. Hence, a more precise evaluation according to the adjusted data is needed. Finally, as only published studies were retrieved in the present meta-analysis, the selection bias may have occurred, even though the funnel plot and Egger’s test have not shown publication bias. Also, the number of published studies was not large enough for a comprehensive analysis, particularly for some subgroups.

Conclusions

In summary, our meta-analysis suggested that the MTHFR 677C>T polymorphism is associated with an enhanced risk of male infertility, supporting the hypothesis that the MTHFR 677C>T may be a potential cause of male infertility. Specifically, increased infertility risks with MTHFR 677C>T were observed in overall analysis and most subgroups, except oligo subgroup. However, large scale, well-designed and high quality epidemiological studies will be required to confirm our findings in the future.

Supporting Information

S1 Checklist. (DOC).

(DOCX)

Click here for additional data file. (19KB, docx)

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

The authors have no support or funding to report.

References

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