Dataset Information

[Association between maternal reduced folate carrier gene polymorphisms and congenital heart disease in offspring: a case-control study].

ABSTRACT:

Objective

To study the association between maternal reduced folate carrier (RFC) gene polymorphisms and congenital heart disease (CHD) in offspring.

Methods

A hospital-based case-control study was conducted. The mothers of 683 infants with CHD who attended the Department of Cardiothoracic Surgery, Hunan Children's Hospital, from November 2017 to March 2020 were enrolled as the case group. The mothers of 740 healthy infants without any deformity who attended the hospital during the same period of time were enrolled as the control group. A questionnaire survey was performed to collect the exposure data of subjects. Venous blood samples of 5 mL were collected from the mothers for genetic polymorphism detection. A multivariate logistic regression analysis was used to evaluate the association of RFC gene polymorphisms and their haplotypes with CHD. A generalized multifactor dimensionality reduction method was used to analyze gene-gene interactions.

Results

After control for confounding factors, the multivariate logistic regression analysis showed that maternal RFC gene polymorphisms at rs2236484 (AG vs AA:OR=1.91, 95%CI:1.45-2.51; GG vs AA: OR=1.96, 95%CI:1.40-2.75) and rs2330183 (CT vs CC:OR=1.39, 95%CI:1.06-1.83) were significantly associated with the risk of CHD in offspring. The haplotypes of G-G (OR=1.21, 95%CI:1.03-1.41) and T-G (OR=1.25, 95%CI:1.07-1.46) in mothers significantly increased the risk of CHD in offspring. The interaction analysis showed significant gene-gene interactions between different SNPs of the RFC gene in CHD (P < 0.05).

Conclusions

Maternal RFC gene polymorphisms and interactions between different SNPs are significantly associated with the risk of CHD in offspring.

SUBMITTER: Qin JB

PROVIDER: S-EPMC8214001 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundThe majority of congenital heart diseases (CHDs) are thought to result from the interactions of genetics and the environment factors. This study aimed to assess the association of maternal non-occupational phthalates exposure, metabolic gene polymorphisms and their interactions with risk of CHDs in offspring.MethodsA multicenter case-control study of 245 mothers with CHDs infants and 268 control mothers of health infant was conducted from six hospitals. Maternal urinary concentrations of eight phthalate metabolites were measured by ultra-high performance liquid chromatography coupled with tandem mass spectrometry (UHPLC-MS/MS). Twenty single nucleotide polymorphisms (SNPs) in cytochrome P450 family 2 subfamily C member 9 (CYP2C9) and 19 (CYP2C19), uridine diphosphate (UDP) glucuronosyl transferase family 1 member A7 (UGT1A7), family 2 member B7 (UGT2B7) and B15(UGT2B15) genes were genotyped. The multivariate logistic regressions were used to estimate the association between maternal phthalates exposure or gene polymorphisms and risk of CHDs. Generalized multifactor dimensionality reduction (GMDR) was used to analyze the gene-gene and gene-phthalates exposure interactions.ResultsThere was no significant difference in phthalate metabolites concentrations between the cases and controls. No significant positive associations were observed between maternal exposure to phthalates and CHDs. The SNPs of UGT1A7 gene at rs4124874 (under three models, log-additive: aOR = 1.74, 95% CI:1.28-2.37; dominant: aOR = 1.86, 95% CI:1.25-2.78; recessive: aOR = 2.50, 95% CI: 1.26-4.94) and rs887829 (under the recessive model: aOR = 13.66, 95% CI: 1.54-121) were significantly associated with an increased risk of CHDs. Furthermore, the associations between rs4124874 (under log-additive and dominant models) of UGT1A7 were statistically significant after the false discovery rate correction. No significant gene-gene or gene-phthalate metabolites interactions were observed.ConclusionsThe polymorphisms of maternal UGT1A7 gene at rs4124874 and rs887829 were significantly associated with an increased risk of CHDs. More large-scale studies or prospective study designs are needed to confirm or refute our findings in the future.