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c Indian Academy of Sciences
RESEARCH ARTICLE
Maternal MTHFR polymorphism (677 C–T) and risk of Down’s
syndrome child: meta-analysis
AMANDEEP KAUR and ANUPAM KAUR∗
Department of Human Genetics, Guru Nanak Dev University, Amritsar 143 005, India
Abstract
Methylenetetrahydrofolate reductase (MTHFR) is the most important gene that participates in folate metabolism. Presence
of valine instead of alanine at position 677 and elevated levels of homocystein causes DNA hypomethylation which in turn
favours nondisjunction. In this study, we conducted a meta-analysis to establish link between maternal single-nucleotide
polymorphism (SNP) and birth of Down’s syndrome (DS) child. A total of 37 case–control studies were selected for analysis
including our own, in which we investigated 110 cases and 111 control mothers. Overall, the result of meta-analysis showed
significant risk of DS affected by the presence of maternal SNP (MTHFR 677 C–T OR = 0.816, 95% CI = 0.741–0.900,
P < 0.0001). Heterogeneity of high magnitude was observed among the studies. The chi-square value suggested a highly
significant association between homozygous mutant TT genotype and birth of DS child (χ2 = 23.63, P = 0.000). Genetic
models suggested that ‘T’ allele possesses high risk for DS whether present in dominant (OR = 1.23, 95% CI = 1.13–1.34);
codominant (OR = 1.17, 95% CI = 1.10–1.25) or recessive (OR = 1.21, 95% CI = 1.05–1.38) form. The analysis from all
37 studies combined together suggested that MTHFR 677 C–T is a major risk factor for DS birth.
[Kaur A. and Kaur A. 2016 Maternal MTHFR polymorphism (677 C–T) and risk of Down’s syndrome child: meta-analysis. J. Genet. 95,
505–513]
Introduction
Down’s syndrome (DS) is the most common chromosomal
abnormality that occurs with the prevalence rate of about 1 in
1200 live births (Patel and Adhia 2005), due to nondisjunc-
tion during meiosis I or II. Many studies have reported that
increased homocystein levels and presence of MTHFR 677
C–T polymorphism impairs the folate metabolism and results
in DNA hypomethylation, which in turn favours nondisjunc-
tion of chromosome 21 (James et al. 1999; Fenech 2001).
The results seen in literature are quite contradictory, may be
due to small sample size, making it difficult to elucidate the
role of single-nucleotide polymorphism (SNP) for the risk of
DS child. The present meta-analysis was conducted to under-
stand whether mutation in MTHFR gene is a risk factor for
DS or not.
Materials and methods
Literature regarding DS was searched on electronic PubMed
database and Google scholar from 1999 to January 2015 for
the studies on MTHFR 677 C–T polymorphism (figure 1).
∗For correspondence. E-mail: anupamkaur@yahoo.com.
All the selected reports were case–control studies. The key-
words used were: MTHFR 677 C–T, Down’s syndrome,
methylenetetrahydrofolate reductase and folate metabolism.
A total of 37 studies that evaluated the association between
the presence of MTHFR 677 C–T polymorphism and risk
of DS child were included. Only research article papers
were considred for this study. For each data, information
about author, country and year of publication along with total
number of cases and controls were extracted. Odds ratio, chi-
square values along with frequencies were calculated (table 1).
Inclusion criteria
The following criteria were considered. (i) Articles published
in English language; (ii) articles evaluated MTHFR 677 C–T
SNP; (iii) only those articles in which the mother had at least
two normal children, without miscarriages and abnormali-
ties; and (iv) reports with genotypic and allelic frequencies,
odds ratio and chi-square.
Statistical analysis
The meta-analysis was performed using StatsDirect 3.
Risk for the birth of DS child and presence of maternal
Keywords. MTHFR gene; Down’s syndrome; folate metabolism.
Journal of Genetics, DOI 10.1007/s12041-016-0657-7, Vol. 95, No. 3, September 2016 505
Amandeep Kaur and Anupam Kaur
polymorphism was assessed by odds ratio with 95% CI.
Presence of heterogeneity was estimated using chi-square
based Q-statistics and I2
metrics. In case of higher hetero-
geneity (I2
> 50%), random effect model (DerSimonian and
Laird 1986) was used else fixed effect model (Mantel and
Haenszel 1959) was applied. To estimate publication bias,
Begg and Mazumdar rank correlation (Begg and Mazumdar
1994) and Egger’s regression intercept (Egger et al. 1997)
tests were performed.
Results
In this study, we identified 37 eligible reports from a total of
182 articles published between 1999 and 2015 (figure 1). The
reports were from different ethnic populations, i.e. Asians,
Americans, Europeans and others. A total of 3401 moth-
ers having DS children and 5277 mothers having normal
children were included in the study. Meta-analysis indicated
a highly significant difference between cases and controls
(χ2
= 23.63, P = 0.000). The three genetic models (domi-
nant: OR = 1.23, 95% CI = 1.13–1.34; codominant: OR =
1.17, 95% CI = 1.10–1.25; recessive: OR = 1.21, 95% CI
= 1.05–1.38) suggested that presence of ‘TT’ genotype in
mothers significantly increased the risk of DS birth (table 2).
The frequency of heterozygote was highest among mothers
of Down’s syndrome children (MDS) (8.3–65.5%) as com-
pared to control mothers (0–55.3%) and a presence of TT
genotype was observed to be higher among cases (0–36.6%)
than the control mothers (0–21.5%) (table 1).
The present analysis revealed that occurrence of mater-
nal polymorphism 677 C–T significantly increases the risk
of birth of DS child (fixed effect model (OR = 0.816, 95%
CI = 0.741–0.900, P < 0.0001) (figure 2); random effect
model (OR = 0.776, 95% CI = 0.654−0.922, P = 0.003)
(figure 3)). The random model was used since the results
demonstrated high magnitude of heterogeneity among stud-
ies (I2
= 62.6%, P < 0.0001, Q = 96.26, df = 36). Sub-
group analysis revealed that MTHFR 677 C–T also found to
be significantly associated with the birth of DS child among
Asians (random model OR = 0.527, 95% CI = 0.355–0.782,
P = 0.001) (figure 4). Higher heterogeneity was observed
among Asian studies (I2
= 58.9%, Q = 29.17, df = 12,
Total articles searched=182
Mice models=5, Reviews=5, Case reports=7, Newsletters=10
Irrelevant articles, abstracts, foreign language articles,
Insufficient data=118
After exclusion
Articles included in the meta-analysis=37
Figure 1. Flow chart showing selection criteria for meta-analysis.
P = 0.003). Similar results were obtained from American
population suggesting association between 677 C–T SNP
and DS child birth (fixed model OR = 0.658, 95% CI =
0.551–0.786, P = 0.0001) (figure 5). However, heterogene-
ity was found to be of low magnitude (I2
= 39.9%, Q =
11.64, P = 0.113, df = 7). On the other hand, no association
and heterogeneity were found among European studies (fixed
model OR = 0.982, 95% CI = 0.851–1.133, P = 0.838,
I2
= 0%, Q = 8.264, P = 0.764, df = 12) (figure 6).
Publication bias
Publication bias was not observed among the studies as indi-
cated by Begg-Mazumdar bias P = 0.23 and Egger’s bias
P = 0.184 for CC versus CT+TT (figure 7).
Discussion
Literature search of individual reports suggest that the frequency
of MTHFR 677 TT distribution varies greatly worldwide. In
our previous study (Kaur and Kaur 2013), we observed
that 1.8% of cases exhibited ‘TT’ genotype, while con-
trol mothers did not exhibit homozygous mutant genotype.
No significant association was observed among cases and
controls (χ2
− 2.047, P = 0.359) due to the absence of
homozygous mutant allele. Similar findings were observed
in other studies by Cyril et al. (2009), Mohanty et al.
(2012), Divyakolu et al. (2013) and Pandey et al. (2013).
Further, studies from other countries also corroborates with
our study like James et al. (1999), Acacia et al. (2005),
Biselli et al. (2008), Boduroglu et al. (2004), Bozovic et
al. (2011), Brandalize et al. (2009), Chadefaux-Vekeman
et al. (2002), Chango et al. (2005), Coppede et al. (2006,
2009, 2010), Cretu et al. (2010), Da Silva et al. (2005),
El-Gharib et al. (2012), Elsayed et al. (2014), Kokotas et
al. (2009), Martinez-Frias (2008), Meguid et al. (2008),
O’Leary et al. (2002), Pozzi et al. (2009), Santos-Rebaucas
et al. (2008), Scala et al. (2006), Stuppia et al. (2002), Tayeb
(2012), Vranekovic et al. (2010), Liao (2010) and Zampeiri
et al. (2012). The nonsignificant associations in these stud-
ies could be due to small sample size and further a single
polymorphism was not sufficient to establish any association.
James et al. (1999) was the first to report that mutant geno-
type ‘TT’ is associated with the increased risk of DS. In
their study, the frequency of heterozygote was much higher
(59.6%) when compared to controls (44%). It was suggested
that predominance of heterozygote among MDS was due to
foetal viability that may be lower in mothers with the ‘TT’
genotype. Several studies observed nonsignificant associa-
tion but the presence of mutant allele increased the risk of
DS ranging from 0.4–2.7% (table 1). The high intake of
folate may neutralize the metabolic impact of MTHFR poly-
morphism. Thus, SNPs in other genes in folate pathway,
combined with MTHFR and homocystein levels need to be
evaluated to see the overall association.
506 Journal of Genetics, Vol. 95, No. 3, September 2016
MTHFR 677 C–T: a meta-analysis
Table1.Comparisonofgenotypicfrequencies,oddsratioandchi-squarevalues.
Totalno.Totalno.Chi-squareOdds
StudygroupofcasesCCCTTTofcontrolsCCCTTT(sig.)ratio95%CIP
KaurandKaur(2013),11086(78.2)22(20.0)2(1.8)11189(80.1)22(19.8)0(0.0)2.047(0.359)–––
presentstudy(India)
Jamesetal.(1999),USA5715(26.3)34(59.6)8(14.0)5024(48)22(44)4(8)5.547(0.062)1.87760.529to6.6580.32
Hobbsetal.(2000),USA15751(32.4)84(53.5)22(14.0)14067(47.8)59(42.1)14(10)7.369(0.025)1.46670.719to2.9910.29
O’Learyetal.(2002),Ireland4118(43.9)21(51.2)2(4.8)19290(46.8)84(43.7)18(9.3)1.279(0.527)0.49570.110to2.2250.35
Stuppiaetal.(2002),Italy6420(31.2)32(50)12(18.7)11227(24.1)62(55.3)23(20.5)1.062(0.587)0.8930.410to1.9420.77
Chadefaux-Vekemanetal.(2002),8536(42.3)42(49.4)7(8.2)7029(41.4)30(42.8)11(15.7)2.212(0.330)0.48140.176to1.3160.15
France
Bodurogluetal.(2004),Turkey15286(56.5)55(36.1)11(7.2)9158(63.7)30(32.9)3(3.2)2.194(0.333)2.28840.621to8.4310.21
Changoetal.(2005),France11943(36.1)64(53.7)12(10.0)11949(41.1)58(48.7)12(10.0)0.686(0.709)10.430to2.3251
DaSilvaetal.(2005),Brazil15467(43.5)72(46.7)15(9.7)15884(53.1)67(42.4)7(4.4)4.952(0.084)2.32790.921to5.8780.07
Acaciaetal.(2005),Brazil7035(50)30(42.8)5(7.1)8854(61.3)25(28.4)9(10.2)3.650(0.161)0.67520.215to2.1140.50
Liangetal.(2005),China307(23.3)20(66.67)3(10)7016(22.8)34(48.57)20(28.57)4.425(0.109)1.0270.372to2.8290.95
Coppedeetal.(2006),Italy7920(25.3)43(54.3)16(20.2)11139(35.1)54(48.6)18(16.2)2.155(0.34)1.31220.622to2.7650.47
Scalaetal.(2006),Italy9431(32.9)39(41.4)24(25.5)25674(28.0)125(47.3)57(21.5)1.487(0.475)1.1970.691to2.0730.52
Raietal.(2006),India14997(65.1)40(26.8)12(8.0)165124(75.1)39(23.6)2(1.2)9.664(0.008)∗7.13871.570to32.440.01∗
Wangetal.(2007),China10028(28)52(52)20(20)10048(48)42(42)10(10)9.660(0.008)∗2.250.994to5.0910.05∗
Kohlietal.(2008),India10374(71.8)29(28.1)0(0.0)10971(65.1)32(29.3)6(5.5)6.054(0.048)∗–––
Meguidetal.(2008),Egypt4220(47.6)17(40.4)5(11.9)4833(68.7)12(25.0)3(6.2)3.705(0.156)2.07210.464to9.2430.33
Wangetal.(2008),China6414(21.8)32(50)18(28.1)7036(51.4)29(41.4)5(7.1)16.941(0.000)∗5.0871.761to14.6880.002∗
Bisellietal.(2008),Brazil7229(40.2)35(48.6)8(11.1)194100(51.5)77(39.6)17(8.7)2.675(0.262)1.30150.535to3.1610.56
Martinez-Frias(2008),Spain14661(41.7)61(41.7)24(16.4)18876(40.4)85(45.2)27(14.3)0.490(0.786)1.1730.645to2.1330.60
Santos-Rebaucasetal.(2008),10351(49.5)43(41.7)9(8.7)10849(45.3)47(43.5)12(11.1)0.528(0.767)0.7660.308to1.9020.56
Brazil
Cyriletal.(2009),India3633(91.6)3(8.3)06060(100)002.776(0.095)–––
Kokotasetal.(2009),Denmark17792(51.9)72(40.6)13(7.3)1084545(50.2)449(41.4)90(8.3)0.278(0.870)0.87550.478to1.6020.66
Coppedeetal.(2009),Italy9425(26.5)52(55.3)17(18.0)11340(35.3)55(48.6)18(15.9)1.846(0.379)1.16520.562to2.4120.68
Brandalizeetal.(2009),Brazil23994(39.3)113(47.2)32(13.3)19786(43.6)93(47.2)18(9.1)2.192(0.334)1.53730.834to2.8320.16
Pozzietal.(2009),Danish7428(37.8)30(40.5)16(21.6)18462(33.6)93(50.5)29(15.7)2.407(0.300)1.47440.746to2.9120.26
Coppedeetal.(2010),Italy295(17.2)19(65.5)5(17.2)3211(34.3)17(53.1)4(12.5)2.330(0.31)1.45830.351to6.0530.60
Cretuetal.(2010),Rome2614(53.8)10(38.4)2(7.6)4618(39.1)21(45.6)7(15.2)1.761(0.414)0.46430.089to2.4210.36
Vranekovicetal.(2010),Crotia11149(44.1)49(44.1)13(11.7)14166(47.1)64(45.3)11(7.8)1.115(0.572)1.56770.673to3.6480.29
Liaoetal.(2010),China6012(20)26(43.3)22(36.6)6823(33.8)33(48.5)12(17.6)6.755(0.345)2.70181.195to6.1040.01∗
Sadiqetal.(2011),Jordan5323(43.3)27(50.9)3(5.6)2923(79.3)5(17.2)1(3.4)9.953(0.006)∗1.680.166to16.9250.65
Bozovicetal.(2011),Crotia11246(41.0)55(49.1)11(9.8)221101(45.7)97(43.8)23(10.4)0.829(0.660)0.93760.439to1.9990.86
El-Gharibetal.(2012),Egypt8018(22.5)48(60)14(17.5)3013(43.3)12(40)5(16.6)4.969(0.083)1.06060.346to3.2500.91
Tayeb(2012),SaudiArabia3016(53.3)10(33.3)4(13.3)4022(55)14(35)4(10)0.189(0.909)1.38460.316to6.0510.66
Mohantyetal.(2012),India5244(84.6)8(15.4)05249(94.2)3(5.9)01.627(0.202)–––
Zampeirietal.(2012),Brazil10540(38.1)55(52.4)10(9.5)18594(51.0)73(39.4)18(9.7)4.881(0.087)0.97660.433to2.2020.95
Pandeyetal.(2013),India8167(83.7)12(15)2(2.5)9987(87)9(9)3(3)1.440(0.486)0.81010.132to4.9690.82
Divyakoluetal.(2013),India2521(84)4(16)05042(84)8(16)00.112(0.738)–––
Elsayedetal.(2014),Egypt2611(42.3)12(46.1)3(11.5)6130(49.1)24(39.3)7(11.4)0.387(0.824)1.00620.238to4.2370.99
Total34011527(44.89)1472(43.28)402(11.82)52772643(50.08)2106(39.94)528(10.00)23.631(0.000)∗0.81210.744to0.8850.0001∗
∗Significantassociation.
Journal of Genetics, Vol. 95, No. 3, September 2016 507
Amandeep Kaur and Anupam Kaur
Indian reports by Kohli et al. (2008) (χ2
− 6.054, P −
0.048) and Rai et al. (2006) (χ2
− 9.664, P − 0.008) showed
a significant association among cases and controls. The
frequency of TT genotype in a study by Rai et al. (2006) was
8% and showed a 7.13-fold increase risk of DS birth in moth-
ers less than 31 years of age. Similarly, other reports also
Table 2. Genetic models showing odds ratio and chi-square values.
Model Odds ratio 95% CI Chi-square
Dominant (CT/TT versus CC) 1.23 1.13–1.34 22.313, P = 0.000
Codominant (TT/CT versus CT/CC) 1.17 1.10–1.25 22.533, P = 0.000
Recessive (TT versus CC/CT) 1.21 1.05–1.38 7.047, P = 0.008
0.01 0.1 0.2 0.5 1 2 5 10 100
)97.1,44.0(98.0ydutsruo)aidnI(3102ruaKdnaruaK
Elsayed et al. )01.2,72.0(67.0tpygE,)4102(
)70.5,32.0(00.1Divyakolu et al. (2013), India
)56.1,62.0(66.0Pandey et al. (2013), India
)00.1,53.0(06.0Zampeiri et al. (2012), Brazil
Mohanty et al. )35.1,50.0(43.0aidnI,)2102(
)96.2,33.0(49.0)aibarAiduaS(2102beyaT
Gharib et al. (2012), )30.1,41.0(83.0tpygE
)43.1,15.0(38.0Bozovic et al. (2011), Crotia
Sadiq 2011 (Jordan) 0.20 (0.06, 0.62)
Lio et al. (2010), China 0.49 (0.20, 1.17)
)35.1,35.0(09.0Vrenekovic et al. (2010), Crotia
Cretu et al. )73.5,26.0(18.1emoR,)0102(
)71.2,56.0(02.1Pozzi et al. (2009), Danish
)52.1,65.0(48.0Brandalize et al. (2009), Brazil
Coppede et al. )52.1,53.0(66.0ylatI,)9002(
)94.1,77.0(70.1Kokotas et al. (2009), Denmark
Cyril et al. (2009), India 0.08 (0.00, 1.42)
)01.2,66.0(81.1Santos et al. (2008), Brazil
Martinez-Frias et al. (2008), )86.1,76.0(60.1niapS
Biselli et al. )41.1,53.0(36.0lizarB,)8002(
Wang et al. (2007), C )06.0,11.0(62.0anih
0.44 (0.17, 1.12)Meguid et al. (2008), Egypt
Kohli et al. (2008), India 1.37 (0.73, 2.56)
Wang et al. (2007), C )97.0,22.0(24.0anih
Rai et al. (2006), India 0.62 (0.37, 1.03)
Scala et al. (2006), Italy 1.21 (0.70, 2.06)
Liang et al. )90.3,13.0(30.1anihC,)6002(
Acacio et al. )57.0,02.0(93.0lizarB,)5002(
Da Silva et al. )38.81,32.3(83.7lizarB,)5002(
Chango et al. (2005), )14.1,64.0(18.0ecnarF
Boduroglu et al. (2004), Turkey 0.74 (0.42, 1.31)
Chadeaux-Vekemans et al. )80.2,25.0(40.1ecnarF,)2002(
)89.2,86.0(34.1Stuppia et al. (2002), Italy
O’Leary et al. )48.1,24.0(98.0dnalerI,)2002(
Hobbs et al. )68.0,23.0(25.0ASU,)0002(
)49.0,61.0(93.0(1999), USAl.atesemaJ
combined [fixed] 0.82 (0.74, 0.90)
Figure 2. Forest plot (fixed effect) showing significant association between maternal
SNP MTHFR 677 C–T and birth of DS child (CC vs CT+TT).
508 Journal of Genetics, Vol. 95, No. 3, September 2016
MTHFR 677 C–T: a meta-analysis
0.01 0.1 0.2 0.5 1 2 5 10 100
0.89 (0.44, 1.79)
0.76 (0.27, 2.10)
)70.5,32.0(00.1
0.66 (0.26, 1.65)
)00.1,53.0(06.0
0.34 (0.05, 1.53)
0.94 (0.33, 2.69)
0.38 (0.14, 1.03)
)43.1,15.0(38.0
0.20 (0.06, 0.62)
0.49 (0.20, 1.17)
)35.1,35.0(09.0
)73.5,26.0(18.1
)71.2,56.0(02.1
)52.1,65.0(48.0
0.66 (0.35, 1.25)
)94.1,77.0(70.1
)24.1,00.0(80.0
)01.2,66.0(81.1
1.06 (0.67, 1.68)
)41.1,53.0(36.0
0.26 (0.11, 0.60)
0.44 (0.17, 1.12)
)65.2,37.0(73.1
0.42 (0.22, 0.79)
0.62 (0.37, 1.03)
)60.2,07.0(12.1
1.03 (0.31, 3.09)
0.39 (0.20, 0.75)
)38.81,32.3(83.7
0.81 (0.46, 1.41)
)13.1,24.0(47.0
1.04 (0.52, 2.08)
)89.2,86.0(34.1
0.89 (0.42, 1.84)
0.52 (0.32, 0.86)
)49.0,61.0(93.0
combined [random] 0.78 (0.65, 0.92)
Kaur and Kaur 2013 (India)our study
Elsayed et al. (2014), Egypt
Divyakolu et al. (2013), India
Pandey et al. (2013), India
Zampeiri et al. (2012), Brazil
Mohanty et al. (2012), India
Tayeb 2012 (Saudi Arabia)
Gharib et al. (2012), Egypt
Bozovic et al. (2011), Crotia
Sadiq 2011 (Jordan)
Lio et al. (2010), China
Vrenekovic et al. (2010), Crotia
Cretu et al. (2010), Rome
Pozzi et al. (2009), Danish
Brandalize et al. (2009), Brazil
Coppede et al. (2009), Italy
Kokotas et al. (2009), Denmark
Cyril et al. (2009), India
Santos et al. (2008), Brazil
Martinez-Frias et al. (2008), Spain
Biselli et al. (2008), Brazil
Wang et al. (2008), China
Meguid et al. (2008), Egypt
Kohli et al. (2008), India
Wang et al. (2007), China
Rai et al. (2006), India
Scala et al. (2006), Italy
Liang et al. (2006), China
Acacio et al. (2005), Brazil
Da Silva et al. (2005), Brazil
Chango et al. (2005), France
Boduroglu et al. (2004), Turkey
Chadeaux-Vekemans et al. (2002), France
Stuppia et al. (2002), Italy
O’Leary et al. (2002), Ireland
Hobbs et al. (2000), USA
(1999), USAl.atesemaJ
Figure 3. Forest plot (random effect) showing significant association between MTHFR 677 C–T and DS child (CC vs CT+TT).
suggested that homozygous mutant (TT) genotype is a risk
factor for DS and its presence increases the risk of DS by
1.4–5.0 folds (Hobbs et al. 2000; Wang et al. 2007, 2008;
Sadiq et al. 2011).
Some Indian and international reports failed to show any
significant association between cases and controls when
analysed individually. However, the genetic models were
best fit for this analysis, demonstrating the presence of
MTHFR 677 C–T polymorphism either in dominant or reces-
sive form, playing a significant role as one of the risk factor
for the birth of DS (table 2). The variation in frequency of
‘T’ allele may be due to ethnicity, lifestyle and availability of
dietary folate that minimizes the effect of MTHFR 677 C–T
polymorphism. Large-scale studies are needed to rule out
the exact mechanism behind the role of homocystein, folate,
vitamin B levels in combination with other polymorphisms
in folate pathway.
Literatures of various meta-analysis suggest significant
association between presence of maternal polymorphism and
birth of DS child. Wu et al. (2014) provided the result on
28 publications that included 2806 cases and 4597 control
mothers for MTHFR 677 C–T analysis. They also performed
Journal of Genetics, Vol. 95, No. 3, September 2016 509
Amandeep Kaur and Anupam Kaur
0.01 0.1 0.2 0.5 1 2 5 10
)71.0,00.0(20.0ydutsruo)aidnI(3102ruaKdnaruaK
)70.5,32.0(00.1Divyakolu et al. (2013), India
)56.1,62.0(66.0Pandey et al. (2013), India
Mohanty et al. 0aidnI,)2102( .34 (0.05, 1.53)
)96.2,33.0(49.0)aibarAiduaS(2102beyaT
Sadiq 2011 (Jordan) 0.20 (0.06, 0.62)
Lio et al. 0anihC,)0102( .49 (0.20, 1.17)
)24.1,00.0(80.0Cyril et al. (2009), India
Wang et al. )06.0,11.0(62.0anihC,)8002(
)65.2,37.0(73.1Kohli et al. (2008), India
Wang et al. 0anihC,)7002( .42 (0.22, 0.79)
Liang et al. )90.3,13.0(30.1anihC,)6002(
Rai et al. 0aidnI,)6002( .62 (0.37, 1.03)
combined [random] 0.53 (0.36, 0.78)
Figure 4. Forest plot (random plot) showing significant association between MTHFR
677 C–T and DS child among Asians (CC vs CT+TT).
0.1 0.2 0.5 1 2 5
)00.1,53.0(06.0Zamoeiri et al. (2012), Brazil
)52.1,65.0(48.0Brandalize et al. (2009), Brazil
)01.2,66.0(81.1Santos et al. (2008), Brazil
Biselli et al. (2008), Brazil 0.63 (0.35, 1.14)
Acacio et al. (2005), Brazil 0.39 (0.20, 0.75)
Da Silva et al. (2005), Brazil 0.68 (0.42, 1.09)
Hobbs et al. (2000), USA 0.52 (0.32, 0.86)
James et al. (1999), USA 0.39 (0.16, 0.94)
combined [fixed] 0.66 (0.55, 0.79)
Figure 5. Forest plot (fixed effect) showing significant association between
MTHFR 677 C–T and risk of DS child in American studies (CC vs Ct+TT).
subgroup analysis and revealed significant association. Other
analyses by Medica et al. (2009), Rai et al. (2014) and
Victorino et al. (2014) have suggested similar findings. Yang
et al. (2013) also reported significant association but did not
perform subgroup analysis. In our meta-analysis, a strong
association of MTHFR 677 C–T was observed and we have
also performed subgroup analysis and genetic models to esti-
mate the association. On the other hand, Zintazaras (2007)
did not observe significant involvement of MTHFR 677
C–T polymorphism. Similarly, Costa-Lima et al. (2013)
conducted meta-analysis on 20 publications and reported
moderate relationship for maternal MTHFR 677 C–T using
codominant model only. The difference in the results may be
due to difference in the number of publications included and
various approaches used to demonstrate the association.
Our study have few limitations: we analysed only sin-
gle polymorphism, unadjusted OR in the analysis was used,
no environmental factors were considered, foreign language
and unpublished reports were not included. However, advan-
tages were: there were more number of studies in this meta-
analysis (37 studies), overlapping studies were excluded and
subgroup analysis was also conducted.
In conclusion, our meta-analysis suggests that exhibit-
ing TT genotype significantly increases the risk for DS.
However, this risk varies across different ethnicities and DS
results from the interaction of genetic and environmental
510 Journal of Genetics, Vol. 95, No. 3, September 2016
MTHFR 677 C–T: a meta-analysis
0.2 0.5 1 2 5 10
)43.1,15.0(38.0Bozovic et al. (2011), Crotia
Vrenekovic et al. (2010), Crotia 0.90 (0.53, 1.53)
Cretu et al. (2010), Rome 1.81 (0.62, 5.37)
Pozzi et al. (2009), Danish 1.20 (0.65, 2.17)
Coppede et al. (2009), Italy 0.66 (0.35, 1.25)
Kokotas et al. (2009), Denmark 1.07 (0.77, 1.49)
Martinez-Frias et al. (2008), Spain 1.06 (0.67, 1.68)
Scala et al. (2006), Italy 1.21 (0.70, 2.06)
Chango et al. (2005), France 0.81 (0.46, 1.41)
)13.1,24.0(47.0Boduroglu et al. (2004), Turkey
Chadeaux-Vekemans et al. (2002), France 1.04 (0.52, 2.08)
Stuppia et al. (2002), Italy 1.43 (0.68, 2.98)
O’leary et al. (2002), Ireland 0.89 (0.42, 1.84)
combined [fixed] 0.98 (0.85, 1.13)
Figure 6. Forest plot (fixed effect) showing significant association between MTHFR
677 C–T and birth of DS child among European studies (CC versus CT+TT).
Figure 7. Standard error by log odds ratio for dominant model.
factors as well. Considering all such factors in future stu-
dies will lead to better understanding of association between
SNPs and birth of DS child.
Acknowledgements
We gratefully acknowledge the support from DST grant and fellow-
ship (SR/WOS-A/LS-348/2013) awarded to Amandeep Kaur and in
part (UGC) grant no. F.37190/2009 (SR) awarded to Anupam Kaur.
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Unedited version published online: 30 November 2015
Final version published online: 4 July 2016
Journal of Genetics, Vol. 95, No. 3, September 2016 513

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  • 1. c Indian Academy of Sciences RESEARCH ARTICLE Maternal MTHFR polymorphism (677 C–T) and risk of Down’s syndrome child: meta-analysis AMANDEEP KAUR and ANUPAM KAUR∗ Department of Human Genetics, Guru Nanak Dev University, Amritsar 143 005, India Abstract Methylenetetrahydrofolate reductase (MTHFR) is the most important gene that participates in folate metabolism. Presence of valine instead of alanine at position 677 and elevated levels of homocystein causes DNA hypomethylation which in turn favours nondisjunction. In this study, we conducted a meta-analysis to establish link between maternal single-nucleotide polymorphism (SNP) and birth of Down’s syndrome (DS) child. A total of 37 case–control studies were selected for analysis including our own, in which we investigated 110 cases and 111 control mothers. Overall, the result of meta-analysis showed significant risk of DS affected by the presence of maternal SNP (MTHFR 677 C–T OR = 0.816, 95% CI = 0.741–0.900, P < 0.0001). Heterogeneity of high magnitude was observed among the studies. The chi-square value suggested a highly significant association between homozygous mutant TT genotype and birth of DS child (χ2 = 23.63, P = 0.000). Genetic models suggested that ‘T’ allele possesses high risk for DS whether present in dominant (OR = 1.23, 95% CI = 1.13–1.34); codominant (OR = 1.17, 95% CI = 1.10–1.25) or recessive (OR = 1.21, 95% CI = 1.05–1.38) form. The analysis from all 37 studies combined together suggested that MTHFR 677 C–T is a major risk factor for DS birth. [Kaur A. and Kaur A. 2016 Maternal MTHFR polymorphism (677 C–T) and risk of Down’s syndrome child: meta-analysis. J. Genet. 95, 505–513] Introduction Down’s syndrome (DS) is the most common chromosomal abnormality that occurs with the prevalence rate of about 1 in 1200 live births (Patel and Adhia 2005), due to nondisjunc- tion during meiosis I or II. Many studies have reported that increased homocystein levels and presence of MTHFR 677 C–T polymorphism impairs the folate metabolism and results in DNA hypomethylation, which in turn favours nondisjunc- tion of chromosome 21 (James et al. 1999; Fenech 2001). The results seen in literature are quite contradictory, may be due to small sample size, making it difficult to elucidate the role of single-nucleotide polymorphism (SNP) for the risk of DS child. The present meta-analysis was conducted to under- stand whether mutation in MTHFR gene is a risk factor for DS or not. Materials and methods Literature regarding DS was searched on electronic PubMed database and Google scholar from 1999 to January 2015 for the studies on MTHFR 677 C–T polymorphism (figure 1). ∗For correspondence. E-mail: anupamkaur@yahoo.com. All the selected reports were case–control studies. The key- words used were: MTHFR 677 C–T, Down’s syndrome, methylenetetrahydrofolate reductase and folate metabolism. A total of 37 studies that evaluated the association between the presence of MTHFR 677 C–T polymorphism and risk of DS child were included. Only research article papers were considred for this study. For each data, information about author, country and year of publication along with total number of cases and controls were extracted. Odds ratio, chi- square values along with frequencies were calculated (table 1). Inclusion criteria The following criteria were considered. (i) Articles published in English language; (ii) articles evaluated MTHFR 677 C–T SNP; (iii) only those articles in which the mother had at least two normal children, without miscarriages and abnormali- ties; and (iv) reports with genotypic and allelic frequencies, odds ratio and chi-square. Statistical analysis The meta-analysis was performed using StatsDirect 3. Risk for the birth of DS child and presence of maternal Keywords. MTHFR gene; Down’s syndrome; folate metabolism. Journal of Genetics, DOI 10.1007/s12041-016-0657-7, Vol. 95, No. 3, September 2016 505
  • 2. Amandeep Kaur and Anupam Kaur polymorphism was assessed by odds ratio with 95% CI. Presence of heterogeneity was estimated using chi-square based Q-statistics and I2 metrics. In case of higher hetero- geneity (I2 > 50%), random effect model (DerSimonian and Laird 1986) was used else fixed effect model (Mantel and Haenszel 1959) was applied. To estimate publication bias, Begg and Mazumdar rank correlation (Begg and Mazumdar 1994) and Egger’s regression intercept (Egger et al. 1997) tests were performed. Results In this study, we identified 37 eligible reports from a total of 182 articles published between 1999 and 2015 (figure 1). The reports were from different ethnic populations, i.e. Asians, Americans, Europeans and others. A total of 3401 moth- ers having DS children and 5277 mothers having normal children were included in the study. Meta-analysis indicated a highly significant difference between cases and controls (χ2 = 23.63, P = 0.000). The three genetic models (domi- nant: OR = 1.23, 95% CI = 1.13–1.34; codominant: OR = 1.17, 95% CI = 1.10–1.25; recessive: OR = 1.21, 95% CI = 1.05–1.38) suggested that presence of ‘TT’ genotype in mothers significantly increased the risk of DS birth (table 2). The frequency of heterozygote was highest among mothers of Down’s syndrome children (MDS) (8.3–65.5%) as com- pared to control mothers (0–55.3%) and a presence of TT genotype was observed to be higher among cases (0–36.6%) than the control mothers (0–21.5%) (table 1). The present analysis revealed that occurrence of mater- nal polymorphism 677 C–T significantly increases the risk of birth of DS child (fixed effect model (OR = 0.816, 95% CI = 0.741–0.900, P < 0.0001) (figure 2); random effect model (OR = 0.776, 95% CI = 0.654−0.922, P = 0.003) (figure 3)). The random model was used since the results demonstrated high magnitude of heterogeneity among stud- ies (I2 = 62.6%, P < 0.0001, Q = 96.26, df = 36). Sub- group analysis revealed that MTHFR 677 C–T also found to be significantly associated with the birth of DS child among Asians (random model OR = 0.527, 95% CI = 0.355–0.782, P = 0.001) (figure 4). Higher heterogeneity was observed among Asian studies (I2 = 58.9%, Q = 29.17, df = 12, Total articles searched=182 Mice models=5, Reviews=5, Case reports=7, Newsletters=10 Irrelevant articles, abstracts, foreign language articles, Insufficient data=118 After exclusion Articles included in the meta-analysis=37 Figure 1. Flow chart showing selection criteria for meta-analysis. P = 0.003). Similar results were obtained from American population suggesting association between 677 C–T SNP and DS child birth (fixed model OR = 0.658, 95% CI = 0.551–0.786, P = 0.0001) (figure 5). However, heterogene- ity was found to be of low magnitude (I2 = 39.9%, Q = 11.64, P = 0.113, df = 7). On the other hand, no association and heterogeneity were found among European studies (fixed model OR = 0.982, 95% CI = 0.851–1.133, P = 0.838, I2 = 0%, Q = 8.264, P = 0.764, df = 12) (figure 6). Publication bias Publication bias was not observed among the studies as indi- cated by Begg-Mazumdar bias P = 0.23 and Egger’s bias P = 0.184 for CC versus CT+TT (figure 7). Discussion Literature search of individual reports suggest that the frequency of MTHFR 677 TT distribution varies greatly worldwide. In our previous study (Kaur and Kaur 2013), we observed that 1.8% of cases exhibited ‘TT’ genotype, while con- trol mothers did not exhibit homozygous mutant genotype. No significant association was observed among cases and controls (χ2 − 2.047, P = 0.359) due to the absence of homozygous mutant allele. Similar findings were observed in other studies by Cyril et al. (2009), Mohanty et al. (2012), Divyakolu et al. (2013) and Pandey et al. (2013). Further, studies from other countries also corroborates with our study like James et al. (1999), Acacia et al. (2005), Biselli et al. (2008), Boduroglu et al. (2004), Bozovic et al. (2011), Brandalize et al. (2009), Chadefaux-Vekeman et al. (2002), Chango et al. (2005), Coppede et al. (2006, 2009, 2010), Cretu et al. (2010), Da Silva et al. (2005), El-Gharib et al. (2012), Elsayed et al. (2014), Kokotas et al. (2009), Martinez-Frias (2008), Meguid et al. (2008), O’Leary et al. (2002), Pozzi et al. (2009), Santos-Rebaucas et al. (2008), Scala et al. (2006), Stuppia et al. (2002), Tayeb (2012), Vranekovic et al. (2010), Liao (2010) and Zampeiri et al. (2012). The nonsignificant associations in these stud- ies could be due to small sample size and further a single polymorphism was not sufficient to establish any association. James et al. (1999) was the first to report that mutant geno- type ‘TT’ is associated with the increased risk of DS. In their study, the frequency of heterozygote was much higher (59.6%) when compared to controls (44%). It was suggested that predominance of heterozygote among MDS was due to foetal viability that may be lower in mothers with the ‘TT’ genotype. Several studies observed nonsignificant associa- tion but the presence of mutant allele increased the risk of DS ranging from 0.4–2.7% (table 1). The high intake of folate may neutralize the metabolic impact of MTHFR poly- morphism. Thus, SNPs in other genes in folate pathway, combined with MTHFR and homocystein levels need to be evaluated to see the overall association. 506 Journal of Genetics, Vol. 95, No. 3, September 2016
  • 3. MTHFR 677 C–T: a meta-analysis Table1.Comparisonofgenotypicfrequencies,oddsratioandchi-squarevalues. Totalno.Totalno.Chi-squareOdds StudygroupofcasesCCCTTTofcontrolsCCCTTT(sig.)ratio95%CIP KaurandKaur(2013),11086(78.2)22(20.0)2(1.8)11189(80.1)22(19.8)0(0.0)2.047(0.359)––– presentstudy(India) Jamesetal.(1999),USA5715(26.3)34(59.6)8(14.0)5024(48)22(44)4(8)5.547(0.062)1.87760.529to6.6580.32 Hobbsetal.(2000),USA15751(32.4)84(53.5)22(14.0)14067(47.8)59(42.1)14(10)7.369(0.025)1.46670.719to2.9910.29 O’Learyetal.(2002),Ireland4118(43.9)21(51.2)2(4.8)19290(46.8)84(43.7)18(9.3)1.279(0.527)0.49570.110to2.2250.35 Stuppiaetal.(2002),Italy6420(31.2)32(50)12(18.7)11227(24.1)62(55.3)23(20.5)1.062(0.587)0.8930.410to1.9420.77 Chadefaux-Vekemanetal.(2002),8536(42.3)42(49.4)7(8.2)7029(41.4)30(42.8)11(15.7)2.212(0.330)0.48140.176to1.3160.15 France Bodurogluetal.(2004),Turkey15286(56.5)55(36.1)11(7.2)9158(63.7)30(32.9)3(3.2)2.194(0.333)2.28840.621to8.4310.21 Changoetal.(2005),France11943(36.1)64(53.7)12(10.0)11949(41.1)58(48.7)12(10.0)0.686(0.709)10.430to2.3251 DaSilvaetal.(2005),Brazil15467(43.5)72(46.7)15(9.7)15884(53.1)67(42.4)7(4.4)4.952(0.084)2.32790.921to5.8780.07 Acaciaetal.(2005),Brazil7035(50)30(42.8)5(7.1)8854(61.3)25(28.4)9(10.2)3.650(0.161)0.67520.215to2.1140.50 Liangetal.(2005),China307(23.3)20(66.67)3(10)7016(22.8)34(48.57)20(28.57)4.425(0.109)1.0270.372to2.8290.95 Coppedeetal.(2006),Italy7920(25.3)43(54.3)16(20.2)11139(35.1)54(48.6)18(16.2)2.155(0.34)1.31220.622to2.7650.47 Scalaetal.(2006),Italy9431(32.9)39(41.4)24(25.5)25674(28.0)125(47.3)57(21.5)1.487(0.475)1.1970.691to2.0730.52 Raietal.(2006),India14997(65.1)40(26.8)12(8.0)165124(75.1)39(23.6)2(1.2)9.664(0.008)∗7.13871.570to32.440.01∗ Wangetal.(2007),China10028(28)52(52)20(20)10048(48)42(42)10(10)9.660(0.008)∗2.250.994to5.0910.05∗ Kohlietal.(2008),India10374(71.8)29(28.1)0(0.0)10971(65.1)32(29.3)6(5.5)6.054(0.048)∗––– Meguidetal.(2008),Egypt4220(47.6)17(40.4)5(11.9)4833(68.7)12(25.0)3(6.2)3.705(0.156)2.07210.464to9.2430.33 Wangetal.(2008),China6414(21.8)32(50)18(28.1)7036(51.4)29(41.4)5(7.1)16.941(0.000)∗5.0871.761to14.6880.002∗ Bisellietal.(2008),Brazil7229(40.2)35(48.6)8(11.1)194100(51.5)77(39.6)17(8.7)2.675(0.262)1.30150.535to3.1610.56 Martinez-Frias(2008),Spain14661(41.7)61(41.7)24(16.4)18876(40.4)85(45.2)27(14.3)0.490(0.786)1.1730.645to2.1330.60 Santos-Rebaucasetal.(2008),10351(49.5)43(41.7)9(8.7)10849(45.3)47(43.5)12(11.1)0.528(0.767)0.7660.308to1.9020.56 Brazil Cyriletal.(2009),India3633(91.6)3(8.3)06060(100)002.776(0.095)––– Kokotasetal.(2009),Denmark17792(51.9)72(40.6)13(7.3)1084545(50.2)449(41.4)90(8.3)0.278(0.870)0.87550.478to1.6020.66 Coppedeetal.(2009),Italy9425(26.5)52(55.3)17(18.0)11340(35.3)55(48.6)18(15.9)1.846(0.379)1.16520.562to2.4120.68 Brandalizeetal.(2009),Brazil23994(39.3)113(47.2)32(13.3)19786(43.6)93(47.2)18(9.1)2.192(0.334)1.53730.834to2.8320.16 Pozzietal.(2009),Danish7428(37.8)30(40.5)16(21.6)18462(33.6)93(50.5)29(15.7)2.407(0.300)1.47440.746to2.9120.26 Coppedeetal.(2010),Italy295(17.2)19(65.5)5(17.2)3211(34.3)17(53.1)4(12.5)2.330(0.31)1.45830.351to6.0530.60 Cretuetal.(2010),Rome2614(53.8)10(38.4)2(7.6)4618(39.1)21(45.6)7(15.2)1.761(0.414)0.46430.089to2.4210.36 Vranekovicetal.(2010),Crotia11149(44.1)49(44.1)13(11.7)14166(47.1)64(45.3)11(7.8)1.115(0.572)1.56770.673to3.6480.29 Liaoetal.(2010),China6012(20)26(43.3)22(36.6)6823(33.8)33(48.5)12(17.6)6.755(0.345)2.70181.195to6.1040.01∗ Sadiqetal.(2011),Jordan5323(43.3)27(50.9)3(5.6)2923(79.3)5(17.2)1(3.4)9.953(0.006)∗1.680.166to16.9250.65 Bozovicetal.(2011),Crotia11246(41.0)55(49.1)11(9.8)221101(45.7)97(43.8)23(10.4)0.829(0.660)0.93760.439to1.9990.86 El-Gharibetal.(2012),Egypt8018(22.5)48(60)14(17.5)3013(43.3)12(40)5(16.6)4.969(0.083)1.06060.346to3.2500.91 Tayeb(2012),SaudiArabia3016(53.3)10(33.3)4(13.3)4022(55)14(35)4(10)0.189(0.909)1.38460.316to6.0510.66 Mohantyetal.(2012),India5244(84.6)8(15.4)05249(94.2)3(5.9)01.627(0.202)––– Zampeirietal.(2012),Brazil10540(38.1)55(52.4)10(9.5)18594(51.0)73(39.4)18(9.7)4.881(0.087)0.97660.433to2.2020.95 Pandeyetal.(2013),India8167(83.7)12(15)2(2.5)9987(87)9(9)3(3)1.440(0.486)0.81010.132to4.9690.82 Divyakoluetal.(2013),India2521(84)4(16)05042(84)8(16)00.112(0.738)––– Elsayedetal.(2014),Egypt2611(42.3)12(46.1)3(11.5)6130(49.1)24(39.3)7(11.4)0.387(0.824)1.00620.238to4.2370.99 Total34011527(44.89)1472(43.28)402(11.82)52772643(50.08)2106(39.94)528(10.00)23.631(0.000)∗0.81210.744to0.8850.0001∗ ∗Significantassociation. Journal of Genetics, Vol. 95, No. 3, September 2016 507
  • 4. Amandeep Kaur and Anupam Kaur Indian reports by Kohli et al. (2008) (χ2 − 6.054, P − 0.048) and Rai et al. (2006) (χ2 − 9.664, P − 0.008) showed a significant association among cases and controls. The frequency of TT genotype in a study by Rai et al. (2006) was 8% and showed a 7.13-fold increase risk of DS birth in moth- ers less than 31 years of age. Similarly, other reports also Table 2. Genetic models showing odds ratio and chi-square values. Model Odds ratio 95% CI Chi-square Dominant (CT/TT versus CC) 1.23 1.13–1.34 22.313, P = 0.000 Codominant (TT/CT versus CT/CC) 1.17 1.10–1.25 22.533, P = 0.000 Recessive (TT versus CC/CT) 1.21 1.05–1.38 7.047, P = 0.008 0.01 0.1 0.2 0.5 1 2 5 10 100 )97.1,44.0(98.0ydutsruo)aidnI(3102ruaKdnaruaK Elsayed et al. )01.2,72.0(67.0tpygE,)4102( )70.5,32.0(00.1Divyakolu et al. (2013), India )56.1,62.0(66.0Pandey et al. (2013), India )00.1,53.0(06.0Zampeiri et al. (2012), Brazil Mohanty et al. )35.1,50.0(43.0aidnI,)2102( )96.2,33.0(49.0)aibarAiduaS(2102beyaT Gharib et al. (2012), )30.1,41.0(83.0tpygE )43.1,15.0(38.0Bozovic et al. (2011), Crotia Sadiq 2011 (Jordan) 0.20 (0.06, 0.62) Lio et al. (2010), China 0.49 (0.20, 1.17) )35.1,35.0(09.0Vrenekovic et al. (2010), Crotia Cretu et al. )73.5,26.0(18.1emoR,)0102( )71.2,56.0(02.1Pozzi et al. (2009), Danish )52.1,65.0(48.0Brandalize et al. (2009), Brazil Coppede et al. )52.1,53.0(66.0ylatI,)9002( )94.1,77.0(70.1Kokotas et al. (2009), Denmark Cyril et al. (2009), India 0.08 (0.00, 1.42) )01.2,66.0(81.1Santos et al. (2008), Brazil Martinez-Frias et al. (2008), )86.1,76.0(60.1niapS Biselli et al. )41.1,53.0(36.0lizarB,)8002( Wang et al. (2007), C )06.0,11.0(62.0anih 0.44 (0.17, 1.12)Meguid et al. (2008), Egypt Kohli et al. (2008), India 1.37 (0.73, 2.56) Wang et al. (2007), C )97.0,22.0(24.0anih Rai et al. (2006), India 0.62 (0.37, 1.03) Scala et al. (2006), Italy 1.21 (0.70, 2.06) Liang et al. )90.3,13.0(30.1anihC,)6002( Acacio et al. )57.0,02.0(93.0lizarB,)5002( Da Silva et al. )38.81,32.3(83.7lizarB,)5002( Chango et al. (2005), )14.1,64.0(18.0ecnarF Boduroglu et al. (2004), Turkey 0.74 (0.42, 1.31) Chadeaux-Vekemans et al. )80.2,25.0(40.1ecnarF,)2002( )89.2,86.0(34.1Stuppia et al. (2002), Italy O’Leary et al. )48.1,24.0(98.0dnalerI,)2002( Hobbs et al. )68.0,23.0(25.0ASU,)0002( )49.0,61.0(93.0(1999), USAl.atesemaJ combined [fixed] 0.82 (0.74, 0.90) Figure 2. Forest plot (fixed effect) showing significant association between maternal SNP MTHFR 677 C–T and birth of DS child (CC vs CT+TT). 508 Journal of Genetics, Vol. 95, No. 3, September 2016
  • 5. MTHFR 677 C–T: a meta-analysis 0.01 0.1 0.2 0.5 1 2 5 10 100 0.89 (0.44, 1.79) 0.76 (0.27, 2.10) )70.5,32.0(00.1 0.66 (0.26, 1.65) )00.1,53.0(06.0 0.34 (0.05, 1.53) 0.94 (0.33, 2.69) 0.38 (0.14, 1.03) )43.1,15.0(38.0 0.20 (0.06, 0.62) 0.49 (0.20, 1.17) )35.1,35.0(09.0 )73.5,26.0(18.1 )71.2,56.0(02.1 )52.1,65.0(48.0 0.66 (0.35, 1.25) )94.1,77.0(70.1 )24.1,00.0(80.0 )01.2,66.0(81.1 1.06 (0.67, 1.68) )41.1,53.0(36.0 0.26 (0.11, 0.60) 0.44 (0.17, 1.12) )65.2,37.0(73.1 0.42 (0.22, 0.79) 0.62 (0.37, 1.03) )60.2,07.0(12.1 1.03 (0.31, 3.09) 0.39 (0.20, 0.75) )38.81,32.3(83.7 0.81 (0.46, 1.41) )13.1,24.0(47.0 1.04 (0.52, 2.08) )89.2,86.0(34.1 0.89 (0.42, 1.84) 0.52 (0.32, 0.86) )49.0,61.0(93.0 combined [random] 0.78 (0.65, 0.92) Kaur and Kaur 2013 (India)our study Elsayed et al. (2014), Egypt Divyakolu et al. (2013), India Pandey et al. (2013), India Zampeiri et al. (2012), Brazil Mohanty et al. (2012), India Tayeb 2012 (Saudi Arabia) Gharib et al. (2012), Egypt Bozovic et al. (2011), Crotia Sadiq 2011 (Jordan) Lio et al. (2010), China Vrenekovic et al. (2010), Crotia Cretu et al. (2010), Rome Pozzi et al. (2009), Danish Brandalize et al. (2009), Brazil Coppede et al. (2009), Italy Kokotas et al. (2009), Denmark Cyril et al. (2009), India Santos et al. (2008), Brazil Martinez-Frias et al. (2008), Spain Biselli et al. (2008), Brazil Wang et al. (2008), China Meguid et al. (2008), Egypt Kohli et al. (2008), India Wang et al. (2007), China Rai et al. (2006), India Scala et al. (2006), Italy Liang et al. (2006), China Acacio et al. (2005), Brazil Da Silva et al. (2005), Brazil Chango et al. (2005), France Boduroglu et al. (2004), Turkey Chadeaux-Vekemans et al. (2002), France Stuppia et al. (2002), Italy O’Leary et al. (2002), Ireland Hobbs et al. (2000), USA (1999), USAl.atesemaJ Figure 3. Forest plot (random effect) showing significant association between MTHFR 677 C–T and DS child (CC vs CT+TT). suggested that homozygous mutant (TT) genotype is a risk factor for DS and its presence increases the risk of DS by 1.4–5.0 folds (Hobbs et al. 2000; Wang et al. 2007, 2008; Sadiq et al. 2011). Some Indian and international reports failed to show any significant association between cases and controls when analysed individually. However, the genetic models were best fit for this analysis, demonstrating the presence of MTHFR 677 C–T polymorphism either in dominant or reces- sive form, playing a significant role as one of the risk factor for the birth of DS (table 2). The variation in frequency of ‘T’ allele may be due to ethnicity, lifestyle and availability of dietary folate that minimizes the effect of MTHFR 677 C–T polymorphism. Large-scale studies are needed to rule out the exact mechanism behind the role of homocystein, folate, vitamin B levels in combination with other polymorphisms in folate pathway. Literatures of various meta-analysis suggest significant association between presence of maternal polymorphism and birth of DS child. Wu et al. (2014) provided the result on 28 publications that included 2806 cases and 4597 control mothers for MTHFR 677 C–T analysis. They also performed Journal of Genetics, Vol. 95, No. 3, September 2016 509
  • 6. Amandeep Kaur and Anupam Kaur 0.01 0.1 0.2 0.5 1 2 5 10 )71.0,00.0(20.0ydutsruo)aidnI(3102ruaKdnaruaK )70.5,32.0(00.1Divyakolu et al. (2013), India )56.1,62.0(66.0Pandey et al. (2013), India Mohanty et al. 0aidnI,)2102( .34 (0.05, 1.53) )96.2,33.0(49.0)aibarAiduaS(2102beyaT Sadiq 2011 (Jordan) 0.20 (0.06, 0.62) Lio et al. 0anihC,)0102( .49 (0.20, 1.17) )24.1,00.0(80.0Cyril et al. (2009), India Wang et al. )06.0,11.0(62.0anihC,)8002( )65.2,37.0(73.1Kohli et al. (2008), India Wang et al. 0anihC,)7002( .42 (0.22, 0.79) Liang et al. )90.3,13.0(30.1anihC,)6002( Rai et al. 0aidnI,)6002( .62 (0.37, 1.03) combined [random] 0.53 (0.36, 0.78) Figure 4. Forest plot (random plot) showing significant association between MTHFR 677 C–T and DS child among Asians (CC vs CT+TT). 0.1 0.2 0.5 1 2 5 )00.1,53.0(06.0Zamoeiri et al. (2012), Brazil )52.1,65.0(48.0Brandalize et al. (2009), Brazil )01.2,66.0(81.1Santos et al. (2008), Brazil Biselli et al. (2008), Brazil 0.63 (0.35, 1.14) Acacio et al. (2005), Brazil 0.39 (0.20, 0.75) Da Silva et al. (2005), Brazil 0.68 (0.42, 1.09) Hobbs et al. (2000), USA 0.52 (0.32, 0.86) James et al. (1999), USA 0.39 (0.16, 0.94) combined [fixed] 0.66 (0.55, 0.79) Figure 5. Forest plot (fixed effect) showing significant association between MTHFR 677 C–T and risk of DS child in American studies (CC vs Ct+TT). subgroup analysis and revealed significant association. Other analyses by Medica et al. (2009), Rai et al. (2014) and Victorino et al. (2014) have suggested similar findings. Yang et al. (2013) also reported significant association but did not perform subgroup analysis. In our meta-analysis, a strong association of MTHFR 677 C–T was observed and we have also performed subgroup analysis and genetic models to esti- mate the association. On the other hand, Zintazaras (2007) did not observe significant involvement of MTHFR 677 C–T polymorphism. Similarly, Costa-Lima et al. (2013) conducted meta-analysis on 20 publications and reported moderate relationship for maternal MTHFR 677 C–T using codominant model only. The difference in the results may be due to difference in the number of publications included and various approaches used to demonstrate the association. Our study have few limitations: we analysed only sin- gle polymorphism, unadjusted OR in the analysis was used, no environmental factors were considered, foreign language and unpublished reports were not included. However, advan- tages were: there were more number of studies in this meta- analysis (37 studies), overlapping studies were excluded and subgroup analysis was also conducted. In conclusion, our meta-analysis suggests that exhibit- ing TT genotype significantly increases the risk for DS. However, this risk varies across different ethnicities and DS results from the interaction of genetic and environmental 510 Journal of Genetics, Vol. 95, No. 3, September 2016
  • 7. MTHFR 677 C–T: a meta-analysis 0.2 0.5 1 2 5 10 )43.1,15.0(38.0Bozovic et al. (2011), Crotia Vrenekovic et al. (2010), Crotia 0.90 (0.53, 1.53) Cretu et al. (2010), Rome 1.81 (0.62, 5.37) Pozzi et al. (2009), Danish 1.20 (0.65, 2.17) Coppede et al. (2009), Italy 0.66 (0.35, 1.25) Kokotas et al. (2009), Denmark 1.07 (0.77, 1.49) Martinez-Frias et al. (2008), Spain 1.06 (0.67, 1.68) Scala et al. (2006), Italy 1.21 (0.70, 2.06) Chango et al. (2005), France 0.81 (0.46, 1.41) )13.1,24.0(47.0Boduroglu et al. (2004), Turkey Chadeaux-Vekemans et al. (2002), France 1.04 (0.52, 2.08) Stuppia et al. (2002), Italy 1.43 (0.68, 2.98) O’leary et al. (2002), Ireland 0.89 (0.42, 1.84) combined [fixed] 0.98 (0.85, 1.13) Figure 6. Forest plot (fixed effect) showing significant association between MTHFR 677 C–T and birth of DS child among European studies (CC versus CT+TT). Figure 7. Standard error by log odds ratio for dominant model. factors as well. Considering all such factors in future stu- dies will lead to better understanding of association between SNPs and birth of DS child. Acknowledgements We gratefully acknowledge the support from DST grant and fellow- ship (SR/WOS-A/LS-348/2013) awarded to Amandeep Kaur and in part (UGC) grant no. F.37190/2009 (SR) awarded to Anupam Kaur. References Acacia G. L., Barini R., Bertuzzo C., Couto E. C., Annichino- Bizzachi J. M. and Junior W. P. 2005 Methylenetetrahydrofolate reductase gene polymorphisms and their association with trisomy 21. Prenat. Diagn. 25, 1196–1199. Begg C. B. and Mazumdar M. 1994 Operating characteristics of a rank correlation test for publication bias. Biometrics 50, 1088– 1101. Biselli J. M., Golonani-Betollo E. C., Zampieri B. L., Haddad R., Eberlin M. N. and Pavarino-Bertelli E. C. 2008 Genetics polymorphisms involved in folate metabolism and elevated plasma concentration of homocystein: maternal risk factors for Down syndrome in Brazil. Genet. Mol. Res. 7, 33–42. Boduroglu K., Alanay Y., Koldan B. and Tuncbilek E. 2004 Methylenetetrahydrofolate reductase enzyme polymorphisms as maternal risk for Down syndrome among Turkish women. Am. J. Med. Genet. A 127A, 5–10. Bozovic I. B., Vranekovic J., Cizmarevic N. S., Mahulja- Stamenkovic V., Prpic I. and Brajenovic-Milic B. 2011 MTHFR C677T and A1298C polymorphisms as a risk factor for con- genital heart defects in Down syndrome. Pediatr. Int. 53, 546– 550. Brandalize A. P., Bandinelli E., Dos Santos P. A., Roisenberg I. and Schuller-Faccini L. 2009 Evaluation of C677T and A1298C polymorphisms of the MTHFR gene as maternal risk factor for Journal of Genetics, Vol. 95, No. 3, September 2016 511
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