“Polymorphisms in folate metabolism genes as maternal risk factor for neural tube defects: an updated meta-analysis”
Abstract Epidemiological studies have evaluated the association between maternal methylenetetrahydrofolate reductase (MTHFR) C677T, A1298C and methionine synthase reductase (MTRR) A66G polymorphisms and risk of neural tube defects (NTDs) in offspring. However, the results from the published studies...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yadav, Upendra [verfasserIn] Kumar, Pradeep [verfasserIn] Yadav, Sushil Kumar [verfasserIn] Mishra, Om Prakash [verfasserIn] Rai, Vandana [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2014 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Metabolic brain disease - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1986, 30(2014), 1 vom: 09. Juli, Seite 7-24 |
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| Übergeordnetes Werk: |
volume:30 ; year:2014 ; number:1 ; day:09 ; month:07 ; pages:7-24 |
| Links: |
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| DOI / URN: |
10.1007/s11011-014-9575-7 |
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| Katalog-ID: |
SPR015670260 |
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| 245 | 1 | 0 | |a “Polymorphisms in folate metabolism genes as maternal risk factor for neural tube defects: an updated meta-analysis” |
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| 520 | |a Abstract Epidemiological studies have evaluated the association between maternal methylenetetrahydrofolate reductase (MTHFR) C677T, A1298C and methionine synthase reductase (MTRR) A66G polymorphisms and risk of neural tube defects (NTDs) in offspring. However, the results from the published studies on the association between these three polymorphisms and NTD risk are conflicting. To derive a clearer picture of association between these three maternal polymorphisms and risk of NTD, we performed meta-analysis. A comprehensive search was conducted to identify all case–control studies of maternal MTHFR and MTRR polymorphisms and NTD risk. We used odds ratios (ORs) with 95 % confidence intervals (CIs) to assess the strength of the association. Overall, we found that maternal MTHFR C677T polymorphism ($ OR_{TvsC} $ =1.20; 95 % CI = 1.13–1.28) and MTRR A66G polymorphism ($ OR_{GvsA} $ = 1.21; 95 % CI = 0.98–1.49) were risk factors for producing offspring with NTD but maternal MTHFR A1298C polymorphism ($ OR_{CvsA} $ = 0.91; 95 % CI = 0.78–1.07) was not associated with NTD risk. However, in stratified analysis by geographical regions, we found that the maternal C677T polymorphism was significantly associated with the risk of NTD in Asian ($ OR_{TvsC} $ = 1.43; 95 % CI: 1.05–1.94), European ($ OR_{TvsC} $ = 1.13; 95 % CI: 1.04–1.24) and American ($ OR_{TvsC} $ = 1.26; 95 % CI: 1.13–1.41) populations. In conclusion, present meta-analysis supports that the maternal MTHFR C677T and MTRR A66G are polymorphisms contributory to risk for NTD. | ||
| 650 | 4 | |a MTHFR |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a MTRR |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a C677T |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a A1298C |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a A66G |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Polymorphism |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a NTD |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Folate |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Homocysteine |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Meta-analysis |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Kumar, Pradeep |e verfasserin |4 aut | |
| 700 | 1 | |a Yadav, Sushil Kumar |e verfasserin |4 aut | |
| 700 | 1 | |a Mishra, Om Prakash |e verfasserin |4 aut | |
| 700 | 1 | |a Rai, Vandana |e verfasserin |4 aut | |
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10.1007/s11011-014-9575-7 doi (DE-627)SPR015670260 (SPR)s11011-014-9575-7-e DE-627 ger DE-627 rakwb eng 610 ASE 44.90 bkl Yadav, Upendra verfasserin aut “Polymorphisms in folate metabolism genes as maternal risk factor for neural tube defects: an updated meta-analysis” 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Epidemiological studies have evaluated the association between maternal methylenetetrahydrofolate reductase (MTHFR) C677T, A1298C and methionine synthase reductase (MTRR) A66G polymorphisms and risk of neural tube defects (NTDs) in offspring. However, the results from the published studies on the association between these three polymorphisms and NTD risk are conflicting. To derive a clearer picture of association between these three maternal polymorphisms and risk of NTD, we performed meta-analysis. A comprehensive search was conducted to identify all case–control studies of maternal MTHFR and MTRR polymorphisms and NTD risk. We used odds ratios (ORs) with 95 % confidence intervals (CIs) to assess the strength of the association. Overall, we found that maternal MTHFR C677T polymorphism ($ OR_{TvsC} $ =1.20; 95 % CI = 1.13–1.28) and MTRR A66G polymorphism ($ OR_{GvsA} $ = 1.21; 95 % CI = 0.98–1.49) were risk factors for producing offspring with NTD but maternal MTHFR A1298C polymorphism ($ OR_{CvsA} $ = 0.91; 95 % CI = 0.78–1.07) was not associated with NTD risk. However, in stratified analysis by geographical regions, we found that the maternal C677T polymorphism was significantly associated with the risk of NTD in Asian ($ OR_{TvsC} $ = 1.43; 95 % CI: 1.05–1.94), European ($ OR_{TvsC} $ = 1.13; 95 % CI: 1.04–1.24) and American ($ OR_{TvsC} $ = 1.26; 95 % CI: 1.13–1.41) populations. In conclusion, present meta-analysis supports that the maternal MTHFR C677T and MTRR A66G are polymorphisms contributory to risk for NTD. MTHFR (dpeaa)DE-He213 MTRR (dpeaa)DE-He213 C677T (dpeaa)DE-He213 A1298C (dpeaa)DE-He213 A66G (dpeaa)DE-He213 Polymorphism (dpeaa)DE-He213 NTD (dpeaa)DE-He213 Folate (dpeaa)DE-He213 Homocysteine (dpeaa)DE-He213 Meta-analysis (dpeaa)DE-He213 Kumar, Pradeep verfasserin aut Yadav, Sushil Kumar verfasserin aut Mishra, Om Prakash verfasserin aut Rai, Vandana verfasserin aut Enthalten in Metabolic brain disease Dordrecht [u.a.] : Springer Science + Business Media B.V, 1986 30(2014), 1 vom: 09. Juli, Seite 7-24 (DE-627)320584399 (DE-600)2018067-6 1573-7365 nnns volume:30 year:2014 number:1 day:09 month:07 pages:7-24 https://dx.doi.org/10.1007/s11011-014-9575-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.90 ASE AR 30 2014 1 09 07 7-24 |
| spelling |
10.1007/s11011-014-9575-7 doi (DE-627)SPR015670260 (SPR)s11011-014-9575-7-e DE-627 ger DE-627 rakwb eng 610 ASE 44.90 bkl Yadav, Upendra verfasserin aut “Polymorphisms in folate metabolism genes as maternal risk factor for neural tube defects: an updated meta-analysis” 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Epidemiological studies have evaluated the association between maternal methylenetetrahydrofolate reductase (MTHFR) C677T, A1298C and methionine synthase reductase (MTRR) A66G polymorphisms and risk of neural tube defects (NTDs) in offspring. However, the results from the published studies on the association between these three polymorphisms and NTD risk are conflicting. To derive a clearer picture of association between these three maternal polymorphisms and risk of NTD, we performed meta-analysis. A comprehensive search was conducted to identify all case–control studies of maternal MTHFR and MTRR polymorphisms and NTD risk. We used odds ratios (ORs) with 95 % confidence intervals (CIs) to assess the strength of the association. Overall, we found that maternal MTHFR C677T polymorphism ($ OR_{TvsC} $ =1.20; 95 % CI = 1.13–1.28) and MTRR A66G polymorphism ($ OR_{GvsA} $ = 1.21; 95 % CI = 0.98–1.49) were risk factors for producing offspring with NTD but maternal MTHFR A1298C polymorphism ($ OR_{CvsA} $ = 0.91; 95 % CI = 0.78–1.07) was not associated with NTD risk. However, in stratified analysis by geographical regions, we found that the maternal C677T polymorphism was significantly associated with the risk of NTD in Asian ($ OR_{TvsC} $ = 1.43; 95 % CI: 1.05–1.94), European ($ OR_{TvsC} $ = 1.13; 95 % CI: 1.04–1.24) and American ($ OR_{TvsC} $ = 1.26; 95 % CI: 1.13–1.41) populations. In conclusion, present meta-analysis supports that the maternal MTHFR C677T and MTRR A66G are polymorphisms contributory to risk for NTD. MTHFR (dpeaa)DE-He213 MTRR (dpeaa)DE-He213 C677T (dpeaa)DE-He213 A1298C (dpeaa)DE-He213 A66G (dpeaa)DE-He213 Polymorphism (dpeaa)DE-He213 NTD (dpeaa)DE-He213 Folate (dpeaa)DE-He213 Homocysteine (dpeaa)DE-He213 Meta-analysis (dpeaa)DE-He213 Kumar, Pradeep verfasserin aut Yadav, Sushil Kumar verfasserin aut Mishra, Om Prakash verfasserin aut Rai, Vandana verfasserin aut Enthalten in Metabolic brain disease Dordrecht [u.a.] : Springer Science + Business Media B.V, 1986 30(2014), 1 vom: 09. Juli, Seite 7-24 (DE-627)320584399 (DE-600)2018067-6 1573-7365 nnns volume:30 year:2014 number:1 day:09 month:07 pages:7-24 https://dx.doi.org/10.1007/s11011-014-9575-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.90 ASE AR 30 2014 1 09 07 7-24 |
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10.1007/s11011-014-9575-7 doi (DE-627)SPR015670260 (SPR)s11011-014-9575-7-e DE-627 ger DE-627 rakwb eng 610 ASE 44.90 bkl Yadav, Upendra verfasserin aut “Polymorphisms in folate metabolism genes as maternal risk factor for neural tube defects: an updated meta-analysis” 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Epidemiological studies have evaluated the association between maternal methylenetetrahydrofolate reductase (MTHFR) C677T, A1298C and methionine synthase reductase (MTRR) A66G polymorphisms and risk of neural tube defects (NTDs) in offspring. However, the results from the published studies on the association between these three polymorphisms and NTD risk are conflicting. To derive a clearer picture of association between these three maternal polymorphisms and risk of NTD, we performed meta-analysis. A comprehensive search was conducted to identify all case–control studies of maternal MTHFR and MTRR polymorphisms and NTD risk. We used odds ratios (ORs) with 95 % confidence intervals (CIs) to assess the strength of the association. Overall, we found that maternal MTHFR C677T polymorphism ($ OR_{TvsC} $ =1.20; 95 % CI = 1.13–1.28) and MTRR A66G polymorphism ($ OR_{GvsA} $ = 1.21; 95 % CI = 0.98–1.49) were risk factors for producing offspring with NTD but maternal MTHFR A1298C polymorphism ($ OR_{CvsA} $ = 0.91; 95 % CI = 0.78–1.07) was not associated with NTD risk. However, in stratified analysis by geographical regions, we found that the maternal C677T polymorphism was significantly associated with the risk of NTD in Asian ($ OR_{TvsC} $ = 1.43; 95 % CI: 1.05–1.94), European ($ OR_{TvsC} $ = 1.13; 95 % CI: 1.04–1.24) and American ($ OR_{TvsC} $ = 1.26; 95 % CI: 1.13–1.41) populations. In conclusion, present meta-analysis supports that the maternal MTHFR C677T and MTRR A66G are polymorphisms contributory to risk for NTD. MTHFR (dpeaa)DE-He213 MTRR (dpeaa)DE-He213 C677T (dpeaa)DE-He213 A1298C (dpeaa)DE-He213 A66G (dpeaa)DE-He213 Polymorphism (dpeaa)DE-He213 NTD (dpeaa)DE-He213 Folate (dpeaa)DE-He213 Homocysteine (dpeaa)DE-He213 Meta-analysis (dpeaa)DE-He213 Kumar, Pradeep verfasserin aut Yadav, Sushil Kumar verfasserin aut Mishra, Om Prakash verfasserin aut Rai, Vandana verfasserin aut Enthalten in Metabolic brain disease Dordrecht [u.a.] : Springer Science + Business Media B.V, 1986 30(2014), 1 vom: 09. Juli, Seite 7-24 (DE-627)320584399 (DE-600)2018067-6 1573-7365 nnns volume:30 year:2014 number:1 day:09 month:07 pages:7-24 https://dx.doi.org/10.1007/s11011-014-9575-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.90 ASE AR 30 2014 1 09 07 7-24 |
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10.1007/s11011-014-9575-7 doi (DE-627)SPR015670260 (SPR)s11011-014-9575-7-e DE-627 ger DE-627 rakwb eng 610 ASE 44.90 bkl Yadav, Upendra verfasserin aut “Polymorphisms in folate metabolism genes as maternal risk factor for neural tube defects: an updated meta-analysis” 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Epidemiological studies have evaluated the association between maternal methylenetetrahydrofolate reductase (MTHFR) C677T, A1298C and methionine synthase reductase (MTRR) A66G polymorphisms and risk of neural tube defects (NTDs) in offspring. However, the results from the published studies on the association between these three polymorphisms and NTD risk are conflicting. To derive a clearer picture of association between these three maternal polymorphisms and risk of NTD, we performed meta-analysis. A comprehensive search was conducted to identify all case–control studies of maternal MTHFR and MTRR polymorphisms and NTD risk. We used odds ratios (ORs) with 95 % confidence intervals (CIs) to assess the strength of the association. Overall, we found that maternal MTHFR C677T polymorphism ($ OR_{TvsC} $ =1.20; 95 % CI = 1.13–1.28) and MTRR A66G polymorphism ($ OR_{GvsA} $ = 1.21; 95 % CI = 0.98–1.49) were risk factors for producing offspring with NTD but maternal MTHFR A1298C polymorphism ($ OR_{CvsA} $ = 0.91; 95 % CI = 0.78–1.07) was not associated with NTD risk. However, in stratified analysis by geographical regions, we found that the maternal C677T polymorphism was significantly associated with the risk of NTD in Asian ($ OR_{TvsC} $ = 1.43; 95 % CI: 1.05–1.94), European ($ OR_{TvsC} $ = 1.13; 95 % CI: 1.04–1.24) and American ($ OR_{TvsC} $ = 1.26; 95 % CI: 1.13–1.41) populations. In conclusion, present meta-analysis supports that the maternal MTHFR C677T and MTRR A66G are polymorphisms contributory to risk for NTD. MTHFR (dpeaa)DE-He213 MTRR (dpeaa)DE-He213 C677T (dpeaa)DE-He213 A1298C (dpeaa)DE-He213 A66G (dpeaa)DE-He213 Polymorphism (dpeaa)DE-He213 NTD (dpeaa)DE-He213 Folate (dpeaa)DE-He213 Homocysteine (dpeaa)DE-He213 Meta-analysis (dpeaa)DE-He213 Kumar, Pradeep verfasserin aut Yadav, Sushil Kumar verfasserin aut Mishra, Om Prakash verfasserin aut Rai, Vandana verfasserin aut Enthalten in Metabolic brain disease Dordrecht [u.a.] : Springer Science + Business Media B.V, 1986 30(2014), 1 vom: 09. Juli, Seite 7-24 (DE-627)320584399 (DE-600)2018067-6 1573-7365 nnns volume:30 year:2014 number:1 day:09 month:07 pages:7-24 https://dx.doi.org/10.1007/s11011-014-9575-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.90 ASE AR 30 2014 1 09 07 7-24 |
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10.1007/s11011-014-9575-7 doi (DE-627)SPR015670260 (SPR)s11011-014-9575-7-e DE-627 ger DE-627 rakwb eng 610 ASE 44.90 bkl Yadav, Upendra verfasserin aut “Polymorphisms in folate metabolism genes as maternal risk factor for neural tube defects: an updated meta-analysis” 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Epidemiological studies have evaluated the association between maternal methylenetetrahydrofolate reductase (MTHFR) C677T, A1298C and methionine synthase reductase (MTRR) A66G polymorphisms and risk of neural tube defects (NTDs) in offspring. However, the results from the published studies on the association between these three polymorphisms and NTD risk are conflicting. To derive a clearer picture of association between these three maternal polymorphisms and risk of NTD, we performed meta-analysis. A comprehensive search was conducted to identify all case–control studies of maternal MTHFR and MTRR polymorphisms and NTD risk. We used odds ratios (ORs) with 95 % confidence intervals (CIs) to assess the strength of the association. Overall, we found that maternal MTHFR C677T polymorphism ($ OR_{TvsC} $ =1.20; 95 % CI = 1.13–1.28) and MTRR A66G polymorphism ($ OR_{GvsA} $ = 1.21; 95 % CI = 0.98–1.49) were risk factors for producing offspring with NTD but maternal MTHFR A1298C polymorphism ($ OR_{CvsA} $ = 0.91; 95 % CI = 0.78–1.07) was not associated with NTD risk. However, in stratified analysis by geographical regions, we found that the maternal C677T polymorphism was significantly associated with the risk of NTD in Asian ($ OR_{TvsC} $ = 1.43; 95 % CI: 1.05–1.94), European ($ OR_{TvsC} $ = 1.13; 95 % CI: 1.04–1.24) and American ($ OR_{TvsC} $ = 1.26; 95 % CI: 1.13–1.41) populations. In conclusion, present meta-analysis supports that the maternal MTHFR C677T and MTRR A66G are polymorphisms contributory to risk for NTD. MTHFR (dpeaa)DE-He213 MTRR (dpeaa)DE-He213 C677T (dpeaa)DE-He213 A1298C (dpeaa)DE-He213 A66G (dpeaa)DE-He213 Polymorphism (dpeaa)DE-He213 NTD (dpeaa)DE-He213 Folate (dpeaa)DE-He213 Homocysteine (dpeaa)DE-He213 Meta-analysis (dpeaa)DE-He213 Kumar, Pradeep verfasserin aut Yadav, Sushil Kumar verfasserin aut Mishra, Om Prakash verfasserin aut Rai, Vandana verfasserin aut Enthalten in Metabolic brain disease Dordrecht [u.a.] : Springer Science + Business Media B.V, 1986 30(2014), 1 vom: 09. Juli, Seite 7-24 (DE-627)320584399 (DE-600)2018067-6 1573-7365 nnns volume:30 year:2014 number:1 day:09 month:07 pages:7-24 https://dx.doi.org/10.1007/s11011-014-9575-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.90 ASE AR 30 2014 1 09 07 7-24 |
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English |
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Enthalten in Metabolic brain disease 30(2014), 1 vom: 09. Juli, Seite 7-24 volume:30 year:2014 number:1 day:09 month:07 pages:7-24 |
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Enthalten in Metabolic brain disease 30(2014), 1 vom: 09. Juli, Seite 7-24 volume:30 year:2014 number:1 day:09 month:07 pages:7-24 |
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MTHFR MTRR C677T A1298C A66G Polymorphism NTD Folate Homocysteine Meta-analysis |
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Metabolic brain disease |
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Yadav, Upendra @@aut@@ Kumar, Pradeep @@aut@@ Yadav, Sushil Kumar @@aut@@ Mishra, Om Prakash @@aut@@ Rai, Vandana @@aut@@ |
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2014-07-09T00:00:00Z |
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However, the results from the published studies on the association between these three polymorphisms and NTD risk are conflicting. To derive a clearer picture of association between these three maternal polymorphisms and risk of NTD, we performed meta-analysis. A comprehensive search was conducted to identify all case–control studies of maternal MTHFR and MTRR polymorphisms and NTD risk. We used odds ratios (ORs) with 95 % confidence intervals (CIs) to assess the strength of the association. Overall, we found that maternal MTHFR C677T polymorphism ($ OR_{TvsC} $ =1.20; 95 % CI = 1.13–1.28) and MTRR A66G polymorphism ($ OR_{GvsA} $ = 1.21; 95 % CI = 0.98–1.49) were risk factors for producing offspring with NTD but maternal MTHFR A1298C polymorphism ($ OR_{CvsA} $ = 0.91; 95 % CI = 0.78–1.07) was not associated with NTD risk. However, in stratified analysis by geographical regions, we found that the maternal C677T polymorphism was significantly associated with the risk of NTD in Asian ($ OR_{TvsC} $ = 1.43; 95 % CI: 1.05–1.94), European ($ OR_{TvsC} $ = 1.13; 95 % CI: 1.04–1.24) and American ($ OR_{TvsC} $ = 1.26; 95 % CI: 1.13–1.41) populations. 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|
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Yadav, Upendra |
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Yadav, Upendra ddc 610 bkl 44.90 misc MTHFR misc MTRR misc C677T misc A1298C misc A66G misc Polymorphism misc NTD misc Folate misc Homocysteine misc Meta-analysis “Polymorphisms in folate metabolism genes as maternal risk factor for neural tube defects: an updated meta-analysis” |
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610 ASE 44.90 bkl “Polymorphisms in folate metabolism genes as maternal risk factor for neural tube defects: an updated meta-analysis” MTHFR (dpeaa)DE-He213 MTRR (dpeaa)DE-He213 C677T (dpeaa)DE-He213 A1298C (dpeaa)DE-He213 A66G (dpeaa)DE-He213 Polymorphism (dpeaa)DE-He213 NTD (dpeaa)DE-He213 Folate (dpeaa)DE-He213 Homocysteine (dpeaa)DE-He213 Meta-analysis (dpeaa)DE-He213 |
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ddc 610 bkl 44.90 misc MTHFR misc MTRR misc C677T misc A1298C misc A66G misc Polymorphism misc NTD misc Folate misc Homocysteine misc Meta-analysis |
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ddc 610 bkl 44.90 misc MTHFR misc MTRR misc C677T misc A1298C misc A66G misc Polymorphism misc NTD misc Folate misc Homocysteine misc Meta-analysis |
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ddc 610 bkl 44.90 misc MTHFR misc MTRR misc C677T misc A1298C misc A66G misc Polymorphism misc NTD misc Folate misc Homocysteine misc Meta-analysis |
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“Polymorphisms in folate metabolism genes as maternal risk factor for neural tube defects: an updated meta-analysis” |
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“Polymorphisms in folate metabolism genes as maternal risk factor for neural tube defects: an updated meta-analysis” |
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Yadav, Upendra |
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Yadav, Upendra Kumar, Pradeep Yadav, Sushil Kumar Mishra, Om Prakash Rai, Vandana |
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“polymorphisms in folate metabolism genes as maternal risk factor for neural tube defects: an updated meta-analysis” |
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“Polymorphisms in folate metabolism genes as maternal risk factor for neural tube defects: an updated meta-analysis” |
| abstract |
Abstract Epidemiological studies have evaluated the association between maternal methylenetetrahydrofolate reductase (MTHFR) C677T, A1298C and methionine synthase reductase (MTRR) A66G polymorphisms and risk of neural tube defects (NTDs) in offspring. However, the results from the published studies on the association between these three polymorphisms and NTD risk are conflicting. To derive a clearer picture of association between these three maternal polymorphisms and risk of NTD, we performed meta-analysis. A comprehensive search was conducted to identify all case–control studies of maternal MTHFR and MTRR polymorphisms and NTD risk. We used odds ratios (ORs) with 95 % confidence intervals (CIs) to assess the strength of the association. Overall, we found that maternal MTHFR C677T polymorphism ($ OR_{TvsC} $ =1.20; 95 % CI = 1.13–1.28) and MTRR A66G polymorphism ($ OR_{GvsA} $ = 1.21; 95 % CI = 0.98–1.49) were risk factors for producing offspring with NTD but maternal MTHFR A1298C polymorphism ($ OR_{CvsA} $ = 0.91; 95 % CI = 0.78–1.07) was not associated with NTD risk. However, in stratified analysis by geographical regions, we found that the maternal C677T polymorphism was significantly associated with the risk of NTD in Asian ($ OR_{TvsC} $ = 1.43; 95 % CI: 1.05–1.94), European ($ OR_{TvsC} $ = 1.13; 95 % CI: 1.04–1.24) and American ($ OR_{TvsC} $ = 1.26; 95 % CI: 1.13–1.41) populations. In conclusion, present meta-analysis supports that the maternal MTHFR C677T and MTRR A66G are polymorphisms contributory to risk for NTD. |
| abstractGer |
Abstract Epidemiological studies have evaluated the association between maternal methylenetetrahydrofolate reductase (MTHFR) C677T, A1298C and methionine synthase reductase (MTRR) A66G polymorphisms and risk of neural tube defects (NTDs) in offspring. However, the results from the published studies on the association between these three polymorphisms and NTD risk are conflicting. To derive a clearer picture of association between these three maternal polymorphisms and risk of NTD, we performed meta-analysis. A comprehensive search was conducted to identify all case–control studies of maternal MTHFR and MTRR polymorphisms and NTD risk. We used odds ratios (ORs) with 95 % confidence intervals (CIs) to assess the strength of the association. Overall, we found that maternal MTHFR C677T polymorphism ($ OR_{TvsC} $ =1.20; 95 % CI = 1.13–1.28) and MTRR A66G polymorphism ($ OR_{GvsA} $ = 1.21; 95 % CI = 0.98–1.49) were risk factors for producing offspring with NTD but maternal MTHFR A1298C polymorphism ($ OR_{CvsA} $ = 0.91; 95 % CI = 0.78–1.07) was not associated with NTD risk. However, in stratified analysis by geographical regions, we found that the maternal C677T polymorphism was significantly associated with the risk of NTD in Asian ($ OR_{TvsC} $ = 1.43; 95 % CI: 1.05–1.94), European ($ OR_{TvsC} $ = 1.13; 95 % CI: 1.04–1.24) and American ($ OR_{TvsC} $ = 1.26; 95 % CI: 1.13–1.41) populations. In conclusion, present meta-analysis supports that the maternal MTHFR C677T and MTRR A66G are polymorphisms contributory to risk for NTD. |
| abstract_unstemmed |
Abstract Epidemiological studies have evaluated the association between maternal methylenetetrahydrofolate reductase (MTHFR) C677T, A1298C and methionine synthase reductase (MTRR) A66G polymorphisms and risk of neural tube defects (NTDs) in offspring. However, the results from the published studies on the association between these three polymorphisms and NTD risk are conflicting. To derive a clearer picture of association between these three maternal polymorphisms and risk of NTD, we performed meta-analysis. A comprehensive search was conducted to identify all case–control studies of maternal MTHFR and MTRR polymorphisms and NTD risk. We used odds ratios (ORs) with 95 % confidence intervals (CIs) to assess the strength of the association. Overall, we found that maternal MTHFR C677T polymorphism ($ OR_{TvsC} $ =1.20; 95 % CI = 1.13–1.28) and MTRR A66G polymorphism ($ OR_{GvsA} $ = 1.21; 95 % CI = 0.98–1.49) were risk factors for producing offspring with NTD but maternal MTHFR A1298C polymorphism ($ OR_{CvsA} $ = 0.91; 95 % CI = 0.78–1.07) was not associated with NTD risk. However, in stratified analysis by geographical regions, we found that the maternal C677T polymorphism was significantly associated with the risk of NTD in Asian ($ OR_{TvsC} $ = 1.43; 95 % CI: 1.05–1.94), European ($ OR_{TvsC} $ = 1.13; 95 % CI: 1.04–1.24) and American ($ OR_{TvsC} $ = 1.26; 95 % CI: 1.13–1.41) populations. In conclusion, present meta-analysis supports that the maternal MTHFR C677T and MTRR A66G are polymorphisms contributory to risk for NTD. |
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|
| score |
7.401 |