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Erschienen in: Pediatric Cardiology 5/2015

01.06.2015 | Original Article

Association of DNMT1 Gene Polymorphisms with Congenital Heart Disease in Child Patients

verfasst von: FengYu Wang, ShiYuan Zhou, YanLi Wang, LiNa Wang, JiPing Zhou, HaiLi Wang, CongMin Li, MingXiu Chang

Erschienen in: Pediatric Cardiology | Ausgabe 5/2015

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Abstract

To reveal the association between DNMT1 polymorphisms and congenital heart disease (CHD) in child patients, a total of 224 CHD child patients as well as 199 healthy individuals were enrolled in the present study. The DNA was extracted from whole blood, and four SNPs including rs16999593, rs2228612, rs2288349 and rs10420321 were selected for the gene polymorphism investigation via ligase detection reaction (LDR) assay. Odds ratios (ORs) and 95 % confidence intervals (95 % CIs) were used to assess the strength of the association. rs16999593 was associated with the CHD under the heterozygous (CT vs TT: OR 0.62; 95 % CI 0.41–0.95; p = 0.03), dominant (CT + CC vs TT: OR 0.63; 95 % CI 0.42–0.95; p = 0.03), and allele models (C vs T: OR 0.07; 95 % CI 0.50–1.00; p = 0.05). rs2228612 was related with the CHD under the heterozygous (AG vs AA: OR 0.42; 95 % CI 0.27–0.65; p = 0.0001), homozygous (GG vs AA: OR 0.43; 95 % CI 0.240–0.77; p = 0.004), dominant (AG + GG vs AA: OR 0.42; 95 % CI 0.28–0.64; p < 0.0001), and allele models (G vs A: OR 0.62; 95 % CI 0.47–0.82; p = 0.0007). rs10420321 correlated with the CHD only under the recessive model (GG vs AG + AA: OR 0.61; 95 % CI 0.37–1.01, p = 0.05). However, no significant association between the rs2288349 polymorphisms and the risk of CHD was observed (p > 0.05). DNMT1 polymorphisms might contribute to the risk of CHD, especially rs16999593 and rs2228612.
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Metadaten
Titel
Association of DNMT1 Gene Polymorphisms with Congenital Heart Disease in Child Patients
verfasst von
FengYu Wang
ShiYuan Zhou
YanLi Wang
LiNa Wang
JiPing Zhou
HaiLi Wang
CongMin Li
MingXiu Chang
Publikationsdatum
01.06.2015
Verlag
Springer US
Erschienen in
Pediatric Cardiology / Ausgabe 5/2015
Print ISSN: 0172-0643
Elektronische ISSN: 1432-1971
DOI
https://doi.org/10.1007/s00246-015-1093-9

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