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. 2022 Jun 27;66(4):551–581. doi: 10.20945/2359-3997000000471

Association of methylenetetrahydrofolate reductase ( MTHFR ) gene polymorphisms (C677T and A1298C) with thyroid dysfunction: A meta-analysis and trial sequential analysis

Rui Yang 1,*, Danhua Pu 1,*, Rongrong Tan 1, Jie Wu 1,
PMCID: PMC10697641  PMID: 35758831

ABSTRACT

Recent studies have shown that two common methylenetetrahydrofolate reductase ( MTHFR ) gene polymorphisms (C677T and A1298C) might correlate with thyroid dysfunction, but the results remain inconsistent. We carried out a meta-analysis aiming to assess the relationship of both polymorphisms with thyroid dysfunction. The PubMed, EMBASE, CNKI (China National Knowledge Infrastructure), CBMdisc (China Biology Medicine disc), WeiPu and Wanfang databases were searched up to September 2021. Case-control and cohort studies on MTHFR polymorphism and thyroid dysfunction were identified. Eight studies from six publications were finally included in our meta-analysis, including 817 patients and 566 controls. After pooled analysis, we found that the MTHFR C677T polymorphism was associated with an increased risk of hypothyroidism (TT vs. CC+CT/recessive model: OR = 2.07, 95% CI: 1.02-4.20, P = 0.04; TT vs. CC/homozygote model: OR = 2.35, 95% CI: 1.13-4.86, P = 0.02), while trial sequential analysis (TSA) revealed that it could be a false positive result. The MTHFR A1298C polymorphism was related to a decreased risk of hypothyroidism (C vs. A/allele model: OR = 0.63, 95% CI: 0.44-0.92, P = 0.02; CC vs. AC+AA/recessive model: OR = 0.42, 95% CI: 0.22-0.79, P = 0.007; CC vs. AA/homozygote model: OR = 0.43, 95% CI: 0.25-0.85, P = 0.02), which was conclusive according to TSA. The results of this meta-analysis suggest that MTHFR A1298C seems to be a protective factor for hypothyroidism, while the MTHFR C677T polymorphism may be a risk factor. However, more well-designed studies with larger sample sizes are needed to obtain more reliable results of the association between the MTHFR C677T polymorphism and hypothyroidism.

Keywords: Thyroid dysfunction, methylenetetrahydrofolate reductase ( MTHFR ), polymorphism, risk

INTRODUCTION

Thyroid dysfunction is a common endocrine disorder that always results from autoimmune thyroid diseases (AITDs), such as Hashimoto’s thyroiditis (HT) and Graves’ disease (GD). AITDs can affect people at any age, but women of reproductive age (30~50 years old) are more likely to suffer from these diseases ( 1 , 2 ). Thyroid dysfunction is associated with several adverse perinatal outcomes in the mother and fetus, including infertility, miscarriage, hypertensive disorders, premature delivery, and decreased IQ in the offspring ( 3 , 4 ). Recently, several clinical and epidemiological studies have shown a relationship between methylenetetrahydrofolate reductase ( MTHFR ) polymorphisms and thyroid dysfunction ( 5 - 7 ). One of the publications reported that two women diagnosed with Hashimoto’s thyroiditis suffered from infertility, and in both, MTHFR gene polymorphisms were identified ( 7 ).

Methylenetetrahydrofolate reductase (MTHFR) is a key enzyme in folate metabolism that catalyzes the irreversible conversion of 5, 10-methylenetetrahydrofolate to 5-methyltetrahydrofolate. MTHFR plays a crucial role in the regulation of DNA synthesis, the methylation cycle, and homocysteine concentrations in the blood ( 5 ).The MTHFR gene has been mapped to chromosomal region 1p36.22 and consists of 12 exons, encoding the 656-amino-acid protein.

C677T (rs1801133) and A1298C (rs1801131) are the two most common single nucleotide polymorphisms (SNPs) in the MTHFR gene ( 8 , 9 ). A C to T substitution at the 677th nucleotide of the MTHFR gene converts an alanine to a valine and causes thermolability of MTHFR ( 8 ). The MTHFR A1298C polymorphism results in a glutamic acid-to-alanine substitution leading to lower MTHFR enzyme activity than wild-type ( 10 ). A large body of literature has reported that genetic variation in this gene is associated with many diseases, such as neural tube defects, Alzheimer’s disease, vascular diseases and some kinds of cancer ( 11 - 17 ). Moreover, several studies have indicated that patients with hypothyroidism have elevated serum total homocysteine ( 18 - 26 ), which seemed to implicate the underlying correlation between the MTHFR gene polymorphism and hypothyroidism.

To date, several studies ( 5 , 6 , 27 - 32 ) have been carried out to explore the potential association between MTHFR gene polymorphisms and thyroid diseases (HT, GD, and subclinical/overt hyper- and hypothyroidism), but the results remain controversial. Here, we conducted a meta-analysis of all case-control and cohort studies to shed some light on the association between the MTHFR C677T and A1298C polymorphisms and thyroid dysfunction.

MATERIALS AND METHODS

Search strategy

PubMed (1950-2021), EMBASE (1974-2021) and Chinese databases, including the China National Knowledge Infrastructure (CNKI), China Biology Medicine disc (CBMdisc), WeiPu and Wanfang databases, were searched up to September 2021. Two authors independently performed a comprehensive literature search for relevant studies using the following terms: (“Methylenetetrahydrofolate reductase” OR “MTHFR”) AND (“thyroid” OR “thyroid diseases” OR “thyroid dysfunction” OR “hyperthyroidism” OR “hypothyroidism” OR “autoimmune thyroid disease” OR “Graves’ disease” OR “Hashimoto’s thyroiditis”). All references cited in the included studies or relevant reviews were also hand searched to identify any additional articles.

Inclusion and exclusion criteria

Eligible studies included in the meta-analysis met the following inclusion criteria: ( 1 ) estimated the association between the MTHFR C677T and/or A1298C polymorphism and thyroid dysfunction (subclinical or overt hypo- and/or hyperthyroidism) or autoimmune thyroid diseases (Graves’ disease and/or Hashimoto’s thyroiditis); ( 2 ) were case-control or cohort studies; and ( 3 ) provided enough information on the frequency of genotypes in cases and controls. The exclusion criteria were as follows: ( 1 ) review articles, animal studies, simple commentaries, case reports, or unpublished reports and ( 2 ) reports containing no usable data.

Quality evaluation and data extraction

The quality of the included studies was evaluated according to the Newcastle-Ottawa Scale (NOS), and only studies with a quality score of 6 or better were included for further analyses. Two authors independently extracted data from all eligible studies. Disagreement was settled by discussions. For each of the included studies, the following data were collected: the first author’s last name, publication year, country, ethnicity, thyroid function and sample size of cases and controls. Hardy-Weinberg equilibrium (HWE) in the controls was also performed as another reference to determine the quality of eligible studies.

Statistical analysis

The associations between the MTHFR C677T and/or A1298C polymorphism and thyroid diseases were assessed by calculating the pooled odds ratios (ORs) and 95% confidence intervals (95% CIs). The statistical significance of the summary OR was determined with the Z-test. Five models, including the allele model (C677T: T vs. C; A1298C: C vs. A), dominant model (C677T: TT+TC vs. CC; A1298C: CC+AC vs. AA), recessive model (C677T: TT vs. TC+CC; A1298C: CC vs. AC+AA), homozygote model (C677T: TT vs. CC; A1298C: CC vs. AA) and heterozygote model (C677T: TC vs. CC; A1298C: AC vs. AA), were compared. The heterogeneity across the studies was estimated by the chi-square-based Q statistic test and the I2 test. The fixed-effect model (using the Mantel-Haenszel method) was used if I2 ≤ 50%; otherwise, the random-effect model (using the DerSimonian-Laird method) was applied. Subgroup analyses were performed by ethnicity and thyroid function. The Revman 5.3 (Review Manager Version 5.3. Copenhagen: The Nordic Cochrane Centre, The Cochrane Collaboration, 2014) was used for all statistical analyses. Stata software (version 16.0; Stata Corp LP, College Station, TX, USA) was used to analyze publication bias and for sensitivity analysis. Publication bias was investigated with Begg’s funnel plot, and funnel plot asymmetry was further assessed by Egger’s linear regression test ( 33 ). The significance of the intercept was determined by the t-test, and a P-value less than 0.05 was considered statistically significant. Sensitivity analysis was conducted by removing each individual study sequentially from the analysis to examine the effect of a single study on the collective results.

Trial sequential analysis

TSA 0.9.5.10 software (http://www.ctu.dk/tsa/) was used for trial sequential analysis to minimize the type-I error and random error ( 34 ). The required information size (RIS) was determined based on a 5% risk of type I error, an 80% power of the study, and a case-control event proportion calculated from meta-analysis by the weighted average. The O’Brien-Fleming boundary or futility boundary was constructed to determine whether the present meta-analysis was sufficiently powered and conclusive. If the Z-curve crosses the TSA boundaries or futility area, there is sufficient information to support the conclusions, and further trials are unlikely to change the findings. If the Z-curve does not cross any of the boundaries or reach the RIS, the evidence is insufficient to make a firm conclusion. TSA would be conducted in the allele model. Meta-analysis, which presented a significant result in the pooled analysis, was also tested under TSA.

RESULTS

Study selection

Relevant citations were retrieved and preliminarily screened. Seventy studies were identified after discarding duplicates, and fifty-eight were excluded because they were thematically irrelevant based on the title and abstract. Thus, the full text of thirteen studies was searched and assessed. One conference abstract ( 35 ) was excluded due to a lack of detailed information. A case report ( 7 ) and three ( 20 , 27 , 29 ) case-only studies were deleted. A case-control study was excluded because the data were unusable ( 36 ). Finally, a total of seven papers ( 5 , 6 , 28 , 30 - 32 , 37 ) were eligible for quality evaluation ( Table S1 ), but one publication ( 28 ) was excluded for its low NOS scores. Therefore, six publications ( 5 , 6 , 30 - 32 , 37 ) were eligible for data extraction, two ( 6 , 31 ) of which contained two separate studies. Therefore, eight studies from six publications were ultimately included in this meta-analysis ( Figure 1 ).

Figure 1. Flow chart of the study selection process.

Figure 1

In the present meta-analysis, eight studies met our criteria for MTHFR C677T polymorphism meta-analysis, and seven studies were eligible for MTHFR A1298C polymorphism meta-analysis. All the included studies were divided into “hyperthyroidism”, “hypothyroidism” or “not applicable (NA)” groups according to the thyroid function of the cases. The distributions of the MTHFR C677T and A1298C genotypes and the HWE of the included studies are shown in Table 1 .

Table 1. The characteristic of eligible studies in the meta-analysis.

Studies Country Ethnicity Types Thyroid function Cases Controls PHWE
CC CT TT CC CT TT
( MTHFR C677T)
Mao et al. , 2010 China Asian Graves’ disease hyperthyroidism 51 88 60 36 131 68 0.0371
Arakawa et al. , 2012 Japan Asian Hashimoto’s disease NA 45 63 11 36 35 13 0.3636
Graves’ disease NA 54 79 27
Hashimoto’s disease and Graves’ disease 99 142 38
Lee et al. , 2016 Korea Asian Graves’ disease hyperthyroidism 35 55 32 35 53 12 0.2332
Kvaratskhelia et al. , 2017 Georgia Caucasian Subclinical hypothyroidism hypothyroidism 8 6 5 14 4 1 0.3638
Abu-Hassan et al. , 2019 Jordan Caucasian Hypothyroidism hypothyroidism 49 32 17 55 32 12 0.0432
Hyperthyroidism hyperthyroidism 51 10 5
Hypothyroidism and Hyperthyroidism 100 42 22
Kvaratskhelia et al. , 2020 Georgia Caucasian hypothyroidism hypothyroidism 16 15 3 25 4 0 0.6900
Total 817 566
( MTHFR A1298C) AA AC CC AA AC CC
Mao et al. , 2010 China Asian Graves’ disease hyperthyroidism 139 41 6 178 55 2 0.3115
Arakawa et al. , 2012 Japan Asian Hashimoto’s disease NA 75 36 3 37 26 1 0.1314
Graves’ disease NA 95 60 2
Hashimoto’s disease and Graves’ disease 170 96 5
Lee et al. , 2016 Korea Asian Graves’ disease hyperthyroidism 88 34 0 72 26 2 0.8445
Abu-Hassan et al. , 2019 Jordan Caucasian Hypothyroidism hypothyroidism 45 37 16 37 29 32 0.0001
Hyperthyroidism hyperthyroidism 6 46 14
Hypothyroidism and Hyperthyroidism 51 83 30
Kvaratskhelia et al. , 2020 Georgia Caucasian hypothyroidism hypothyroidism 26 6 2 22 4 3 0.0054
Total 777 526

NA: not applicable; PHWE: p value of Hardy-Weinberg equilibrium.

Meta-analysis of the C677T polymorphism

As shown in Table 2 , the pooled data of six publications indicated no association between the MTHFR C677T polymorphism and thyroid diseases in any of the five comparison models. However, subgroup analyses stratified by thyroid function showed a significant association of the MTHFR C677T polymorphism with hypothyroidism (TT vs. CC+CT/recessive model: OR = 2.07, 95% CI: 1.02-4.20, P = 0.04; TT vs. CC/homozygote model: OR = 2.35, 95% CI: 1.13-4.86, P = 0.02) ( Figure 2B and Supplemental Figures ). No relationship was found between the MTHFR C677T polymorphism and hyperthyroidism, even when reanalyzed by ethnicity ( Table 2 , Figure 2A and Supplemental Figures ).

Table 2. Meta-analysis of the association between MTHFR C677T polymorphism and thyroid disorders.

Diseases Comparison models Studies/publications I2 Model OR (95% CI) P
Thyroid disorders Overall
T vs. C 8/6 77% Random 1.36 (0.92, 2.01) 0.12
TT+CT vs. CC 8/6 79% Random 1.34 (0.76, 2.39) 0.31
TT vs. CC+CT 8/6 44% Fixed 1.29 (0.97, 1.71) 0.08
TT vs. CC 8/6 64% Random 1.40 (0.72, 2.71) 0.32
CT vs. CC 8/6 76% Random 1.17 (0.65, 2.08) 0.60
Asians
T vs. C 4/3 70% Random 1.10 (0.78, 1.57) 0.59
TT+CT vs. CC 4/3 79% Random 0.98 (0.51, 1.85) 0.94
TT vs. CC+CT 4/3 65% Random 1.29 (0.72, 2.31) 0.39
TT vs. CC 4/3 76% Random 1.16 (0.51, 2.65) 0.73
CT vs. CC 4/3 79% Random 0.89 (0.45, 1.78) 0.75
Caucasians
T vs. C 4/3 86% Random 2.54 (0.67, 9.59) 0.17
TT+CT vs. CC 4/3 85% Random 2.54 (0.56, 11.48) 0.22
TT vs. CC+CT 4/3 36% Fixed 1.58 (0.81, 3.10) 0.18
TT vs. CC 4/3 60% Random 3.09 (0.53, 18.16) 0.21
CT vs. CC 4/3 80% Random 2.03 (0.49, 8.41) 0.33
Hyperthyroidism Overall
T vs. C 3/3 85% Random 0.86 (0.48, 1.53) 0.60
TT+CT vs. CC 3/3 79% Random 0.65 (0.31, 1.33) 0.24
TT vs. CC+CT 3/3 68% Random 1.25 (0.60, 2.59) 0.55
TT vs. CC 3/3 80% Random 0.93 (0.33, 2.62) 0.88
CT vs. CC 3/3 66% Random 0.57 (0.30, 1.06) 0.07
Asians
T vs. C 2/2 85% Random 1.11 (0.61, 2.00) 0.73
TT+CT vs. CC 2/2 84% Random 0.83 (0.33, 2.07) 0.69
TT vs. CC+CT 2/2 78% Random 1.58 (0.66, 3.80) 0.31
TT vs. CC 2/2 88% Random 1.25 (0.30, 5.19) 0.76
CT vs. CC 2/2 74% Random 0.69 (0.32, 1.48) 0.34
Hypothyroidism Overall (all Caucasians)
T vs. C 3/3 77% Random 2.80 (0.99, 7.96) 0.05 *
TT+CT vs. CC 3/3 73% Random 2.88 (0.91, 9.14) 0.07
TT vs. CC+CT 3/3 5% Fixed 2.07 (1.02, 4.20) 0.04 *
TT vs. CC 3/3 35% Fixed 2.35 (1.13, 4.86) 0.02 *
CT vs. CC 3/3 65% Random 2.30 (0.78, 6.77) 0.13

OR: odds ratio; CI: confidence interval.

*

Indicates a significant difference at P ≤ 0.05.

Figure 2. Association between the MTHFR C677T polymorphism and hypothyroidism risk (allele model: T vs. C). A Total analysis and subgroup analyses stratified by ethnicity; B Subgroup analyses stratified by thyroid function.

Figure 2

Meta-analysis of the A1298C polymorphism

In the analysis of the MTHFR A1298C polymorphism, only the recessive model comparison of a total of five publications reached a significant difference (CC vs. AC+AA/recessive model: OR = 0.62, 95% CI: 0.38-0.99, P = 0.05). Subgroup analysis stratified by ethnicity showed a significant difference in Caucasians (CC vs. AC+AA/recessive model: OR = 0.47, 95% CI: 0.27-0.81 P = 0.007; AC vs. AA/heterozygote model: OR = 1.92, 95% CI: 1.11-3.32, P = 0.02) ( Figure 3A and Supplemental Figures ). There was a significant association of MTHFR A1298C with hypothyroidism in subgroup analyses stratified by thyroid function (C vs. A/allele model: OR = 0.63, 95% CI: 0.44-0.92, P = 0.02; CC vs. AC+AA/recessive model: OR = 0.42, 95% CI: 0.22-0.79, P = 0.007; CC vs. AA/homozygote model: OR = 0.43, 95% CI: 0.25-0.85, P = 0.02) ( Figure 3B and Supplemental Figures ), but no relationship was found between MTHFR A1298C and hyperthyroidism ( Table 3 ).

Figure 3. Association between the MTHFR A1298C polymorphism and hypothyroidism risk (allele model: C vs. A). A Total analysis and subgroup analyses stratified by ethnicity; B Subgroup analyses stratified by thyroid function.

Figure 3

Table 3. Meta-analysis of the association between MTHFR A1298C polymorphism and thyroid disorders.

Diseases Comparison models Studies/publications I2 Model OR (95% CI) P
Thyroid disorders Overall
C vs. A 7/5 0% Fixed 0.94 (0.76, 1.16) 0.56
CC+AC vs. AA 7/5 0% Fixed 0.92 (0.71, 1.18) 0.52
CC vs. AC+AA 7/5 43% Fixed 0.62 (0.38, 0.99) 0.05 *
CC vs. AA 7/5 22% Fixed 0.82 (0.49, 1.39) 0.46
AC vs. AA 7/5 33% Fixed 1.11 (0.85, 1.45) 0.44
Asians
C vs. A 4/3 0% Fixed 1.00 (0.77, 1.30) 0.99
CC+AC vs. AA 4/3 0% Fixed 0.96 (0.71, 1.30) 0.81
CC vs. AC+AA 4/3 42% Fixed 1.49 (0.52, 4.21) 0.46
CC vs. AA 4/3 42% Fixed 1.46 (0.51, 4.16) 0.48
AC vs. AA 4/3 0% Fixed 0.94 (0.69, 1.27) 0.67
Caucasians
C vs. A 3/2 0% Fixed 0.85 (0.61, 1.19) 0.35
CC+AC vs. AA 3/2 0% Fixed 0.82 (0.51, 1.31) 0.41
CC vs. AC+AA 3/2 0% Fixed 0.47 (0.27, 0.81) 0.007 *
CC vs. AA 3/2 0% Fixed 0.67 (0.36, 1.23) 0.20
AC vs. AA 3/2 0% Fixed 1.92 (1.11, 3.32) 0.02 *
Hyperthyroidism Overall
C vs. A 3/3 0% Fixed 1.17 (0.91, 1.52) 0.23
CC+AC vs. AA 3/3 84% Random 1.69 (0.69, 4.15) 0.25
CC vs. AC+AA 3/3 64% Random 0.87 (0.18, 4.09) 0.86
CC vs. AA 3/3 41% Fixed 2.14 (0.97, 4.71) 0.06
AC vs. AA 3/3 89% Random 1.98 (0.64, 6.17) 0.24
Asians
C vs. A 2/2 0% Fixed 1.06 (0.77, 1.46) 0.70
CC+AC vs. AA 2/2 0% Fixed 1.03 (0.72, 1.47) 0.86
CC vs. AC+AA 2/2 70% Random 1.03 (0.05, 23.15) 0.98
CC vs. AA 2/2 69% Random 1.04 (0.05, 22.59) 0.98
AC vs. AA 2/2 0% Fixed 1.00 (0.69, 1.44) 0.98
Hypothyroidism Overall (all Caucasians)
C vs. A 2/2 0% Fixed 0.63 (0.44, 0.92) 0.02 *
CC+AC vs. AA 2/2 0% Fixed 0.76 (0.45, 1.26) 0.29
CC vs. AC+AA 2/2 0% Fixed 0.42 (0.22, 0.79) 0.007 *
CC vs. AA 2/2 0% Fixed 0.43 (0.22, 0.85) 0.02 *
AC vs. AA 2/2 0% Fixed 1.09 (0.60, 1.96) 0.78

OR: odds ratio; CI: confidence interval.

*

Indicates a significant difference at P ≤ 0.05.

Publication bias and sensitivity analysis

Begg’s funnel plot and Egger’s test were performed to evaluate the publication bias of the literature. As shown in Figure 4 , the shape of the funnel plots was symmetrical in the comparison of the allele model (T vs. C). Then, Egger’s test was adopted to provide statistical evidence of the funnel plot symmetry. The results still showed no publication bias (P = 0.152). The results of sensitivity analysis demonstrated no significant effect of an individual study on the overall pooled OR, indicating the reliability of the results ( Supplemental Figures ).

Figure 4. Begg’s funnel plot for the odds ratio of the MTHFR C677T allele frequency comparison (T vs. C) in thyroid dysfunction.

Figure 4

Trial sequential analysis results

For the MTHFR C677T polymorphism and susceptibility to thyroid disorders, the cumulative Z-curve neither crossed the trial sequential monitoring boundary nor reached the RIS ( Figure 5A, 5B and Supplemental Figures ); therefore, the result is inconclusive, and large-scale studies are warranted. For the MTHFR A1298C polymorphism and hypothyroidism susceptibility, the final Z-value crossed the conventional threshold and the O’Brien-Fleming boundary ( Figure 5C ); therefore, the meta-analysis result was conclusive.

Figure 5. Trial sequential analysis of the total analysis and hypothyroidism subgroup analysis in the allele model. A Total analysis of the MTHFR C677T polymorphism; B Hypothyroidism subgroup analysis of the MTHFR C677T polymorphism; C Hypothyroidism subgroup analysis of the MTHFR A1298C polymorphism.

Figure 5

DISCUSSION

The meta-analysis of eight studies showed that there was no association between the MTHFR C677T polymorphism and thyroid disorders, neither in the total pooled analysis nor in subgroup analyses stratified by ethnicity. However, subgroup analyses by thyroid function indicated that the C677T variant increased the risk of hypothyroidism, although more studies are needed to confirm this result. Previous studies observed that the plasma levels of total homocysteine (tHcy) increased in hypothyroidism ( 19 , 20 ); in addition, patients with thyroid diseases always had an associated increased vascular risk ( 38 , 39 ). According to the above results, we can easily associate the elevated tHcy concentrations with the underlying MTHFR C677T polymorphism. However, it is difficult to explain why the plasma levels of tHcy were normalized after thyroid hormone replacement therapy ( 19 , 20 ). In the past few decades, a large body of studies have been conducted worldwide to elucidate the molecular mechanism of the association between MTHFR gene polymorphisms and other diseases. Ueland and cols. summarized that the relationship between the MTHFR C677T polymorphism and disease involves two aspects. First, the disease might influence tHcy concentrations, and effect modification might occur from the MTHFR polymorphism. Second, the genotype might be associated with disease risk due to the altered metabolism of folates ( 40 ). Moreover, Hustad and cols. supported that thyroid status affects the phenotypic expression of the MTHFR C677T polymorphism, possibly by modifying the availability of flavin cofactors ( 27 ). We know that the C to T mutation results in thermolability of MTHFR, which leads to a higher dissociation rate of flavin adenine dinucleotide (FAD), the cofactor of MTHFR. Thyroid hormones (free thyroxine and free triiodothyronine) increase the activity of enzymes involved in riboflavin metabolism, particularly riboflavin kinase (RK), and thereby augment the synthesis of FAD ( 27 ). Therefore, thyroid hormones, riboflavin, folate and MTHFR gene polymorphisms all play a role in homocysteine metabolism, but each of them provides a small contribution. This can also explain why not all MTHFR SNP C677T carriers demonstrate hyperhomocysteinemia, unless in conditions with low concentrations of thyroid hormones, riboflavin or folate ( 21 , 41 - 43 ).

With regard to the MTHFR A1298C polymorphism, subgroup analyses by thyroid function indicated that the MTHFR A1298C polymorphism decreased the risk of hypothyroidism. The results were in accordance with the studies of Abu-Hassan and cols. and Kvaratskhelia and cols. Some studies ( 5 , 6 , 44 ) also found that the MTHFR A1298C polymorphism is in linkage disequilibrium (LD) with the C677T polymorphism, and Abu-Hassan and cols. suggested that the interaction of the SNPs within haplotypes might act as a major determinant of disease susceptibility in comparison with the single polymorphisms in the MTHFR gene among hypothyroidism cases. They believed that carriers of the CC (677C-1298C) and TA (677T-1298A) haplotypes had significantly lower risks of hypothyroidism, whereas those with TC (677T-1298C) haplotypes had a higher likelihood of having hypothyroidism ( 6 ). Lee and cols. reported that the MTHFR 677CT/1298AA genotype decreased the risk of ophthalmopathy in patients with GD, but the MTHFR 677T/1298A haplotype increased the risk of GD without ophthalmopathy. Therefore, more studies examining the relationship of the C677T and A1298C haplotypes with thyroid dysfunction are required. Besides, previous studies reported that the MTHFR C677T and A1298C polymorphisms had different and even opposite effect on cell metabolism and DNA methylation ( 45 , 46 ). These results suggested that different polymorphisms might have different influences on thyroid function because of diverse pathogenesis, except for reduced enzyme activity. However, more basic researches are needed to explore the underlying molecular mechanism.

Other than the two most common MTHFR gene polymorphisms, Mao and cols. also investigated the relationship between GD and another MTHFR SNP-G1793A (rs2274976) — another mutation occurs at position 1,793 and results in alteration of the translation of an arginine to a glutamine. They observed that individuals with the variant genotypes (GA+AA) appeared to have a slightly higher risk of GD, but it was not statistically significant ( 30 ). Compared with the two common SNPs, the frequencies of the G1793A variant genotypes were very low in both the cases and the controls. In this context, many more participants are needed to reveal the potential relationship.

There are a few limitations in our meta-analysis. First, the numbers of included studies for our meta-analysis were relatively small, especially in the subgroup analyses. Second, our results were based on unadjusted estimates, and some other covariants, including age, sex, environmental factors, and other lifestyle factors, were not controlled in our analysis. Moreover, several included studies were inconsistent with HWE in the controls. The studies of Abu-Hassan and cols. in 2019 and Kvaratskhelia and cols. in 2020 included females only, which would result in nonconformity with HWE. Mao and cols. stated that conformity to HWE among each population was performed in their article, but the present data suggested a departure from HWE of the MTHFR C677T SNP. Hence, more high-quality studies on the association between MTHFR gene polymorphisms and thyroid disease are needed, and meta-analysis for each individual thyroid disease (HT, GD, hyperthyroidism, and hypothyroidism) is necessary to elucidate the true relationship with MTHFR gene polymorphisms.

In conclusion, the present meta-analysis suggests that the C677T variant of the MTHFR gene increases the risk of hypothyroidism, while the MTHFR A1298C variation may protect patients against hypothyroidism. However, further well-designed, large-sample-size studies are warranted to confirm the association between the MTHFR C677T polymorphism and hypothyroidism.

Acknowledgments:

we would like to express our gratitude for the financial support from the National Natural Science Foundation of China (81771540), the Natural Science Foundation of Jiangsu Province (BK20171504), the Jiangsu Women and Children Health Care Project (FXK201701 and FRC201701), the Jiangsu Young Medical Talent Project (QNRC2016611), the Jiangsu Innovation Team Project (CXTDA2017004) and a project funded by PAPD of Jiangsu High Education Institutions.

SUPPLEMENTAL INFORMATION

Association of methylenetetrahydrofolate reductase ( MTHFR ) gene polymorphisms (C677T and A1298C) with thyroid dysfunction: A meta-analysis and trial sequential analysis

Rui Yang*, Danhua Pu*, Rongrong Tan, Jie Wu

Supplemental tables.

Table S1. Newcastle-Ottawa Scale for assessing the quality of studies.

Study Selection Comparability of the cases and controls on the basis of the design or analysis Exposure Scores
1) Adequate definition of the cases 2) Representativeness of the cases 3) Selection of the controls 4) Definition of the controls 1) Ascertainment of exposure 2) Same method of ascertainment for the cases and controls 3) Non-response rate
Pan 2004 # # # # 4
Mao 2010 ★★ 9
Arakawa 2012 # # 6
Lee 2016 # ★★ 8
Kvaratskhelia 2017 # # 6
Abu-Hassan 2019 # # 6
Kvaratskhelia 2020 # 7

Supplemental figures.

The association between the MTHFR C677T polymorphism and the risk of thyroid diseases

1. Allele model: T vs. C
1.1 Forest plots
  • (1) Total analysis and subgroup analyses stratified by ethnicity see Figure 2A

  • (2) Subgroup analyses stratified by thyroid function see Figure 2B

1.2 Figure of sensitivity analysis

graphic file with name 2359-4292-aem-66-04-0551-gf06.jpg

1.3 Figure of trial sequential analysis
  • (1) Total analysis ( A ) and subgroup analyses stratified by ethnicity ( B Assians and C Caucassians)

  • (2) Subgroup analyses stratified by thyroid function ( A hyperthyroidism and B hypothyroidism)

2. Dominant model: TT+TC vs. CC
2.1 Forest plots
2.2 Figure of sensitivity analysis

graphic file with name 2359-4292-aem-66-04-0551-gf12.jpg

3. Recessive model: TT vs. TC+CC
3.1 Forest plots
3.2 Figure of sensitivity analysis

graphic file with name 2359-4292-aem-66-04-0551-gf18.jpg

3.3 Figure of trial sequential analysis (only hypothyroidism-subgroup analysis)

graphic file with name 2359-4292-aem-66-04-0551-gf19.jpg

4. Homozygote model: TT vs. CC
4.1 Forest plots
4.2 Figure of sensitivity analysis

graphic file with name 2359-4292-aem-66-04-0551-gf22.jpg

4.3 Figure of trial sequence analysis (only hypothyroidism-subgroup analysis)

graphic file with name 2359-4292-aem-66-04-0551-gf23.jpg

5. Heterozygote model: TC vs. CC
5.1 Forest plots
5.2 Figure of sensitivity analysis

graphic file with name 2359-4292-aem-66-04-0551-gf26.jpg

The association between the MTHFR A1298C polymorphism and the risk of thyroid diseases

1. Allele model: C vs. A
1.1 Forest plots
  • (1) Total analysis and subgroup analyses stratified by ethnicity see Figure 3A

  • (2) Subgroup analyses stratified by thyroid function see Figure 3B

1.2 Figure of sensitivity analysis

graphic file with name 2359-4292-aem-66-04-0551-gf27.jpg

1.3 Figure of trial sequential analysis
2. Dominant model: CC+CA vs. AA
2.1 Forest plots
2.2 Figure of sensitivity analysis

graphic file with name 2359-4292-aem-66-04-0551-gf35.jpg

3. Recessive model: CC vs. CA+AA
3.1 Forest plots
3.2 Figure of sensitivity analysis

graphic file with name 2359-4292-aem-66-04-0551-gf39.jpg

3.3 Figure of trial sequence analysis ( A Caucasians and B hypothyroidism-subgroup analysis)
4. Homozygote model: CC vs. AA
4.1 Forest plots
4.2 Figure of sensitivity analysis

graphic file with name 2359-4292-aem-66-04-0551-gf44.jpg

4.3 Figure of trial sequence analysis (only hypothyroidism-subgroup analysis)

graphic file with name 2359-4292-aem-66-04-0551-gf45.jpg

5. Heterozygote model: CA vs. AA
5.1 Forest plots
5.2 Figure of sensitivity analysis

graphic file with name 2359-4292-aem-66-04-0551-gf49.jpg

5.3 Figure of trial sequence analysis (only Caucasians-subgroup analysis)

graphic file with name 2359-4292-aem-66-04-0551-gf50.jpg

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