Maternal-Fetal Metabolic Gene-Gene Interactions and Risk of Neural Tube Defects
Supporting Files
-
Nov 18 2013
-
Details
-
Alternative Title:Mol Genet Metab
-
Personal Author:
-
Corporate Authors:
-
Description:Single-gene analyses indicate that maternal genes associated with metabolic conditions (e.g., obesity) may influence the risk of neural tube defects (NTDs). However, to our knowledge, there have been no assessments of maternal-fetal metabolic gene-gene interactions and NTDs. We investigated 23 single nucleotide polymorphisms among 7 maternal metabolic genes (ADRB3, ENPP1, FTO, LEP, PPARG, PPARGC1A, and TCF7L2) and 2 fetal metabolic genes (SLC2A2 and UCP2). Samples were obtained from 737 NTD case-parent triads included in the National Birth Defects Prevention Study for birth years 1999-2007. We used a 2-step approach to evaluate maternal-fetal gene-gene interactions. First, a case-only approach was applied to screen all potential maternal and fetal interactions (n = 76), as this design provides greater power in the assessment of gene-gene interactions compared to other approaches. Specifically, ordinal logistic regression was used to calculate the odds ratio (OR) and 95% confidence interval (CI) for each maternal-fetal gene-gene interaction, assuming a log-additive model of inheritance. Due to the number of comparisons, we calculated a corrected p-value (q-value) using the false discovery rate. Second, we confirmed all statistically significant interactions (q < 0.05) using a log-linear approach among case-parent triads. In step 1, there were 5 maternal-fetal gene-gene interactions with q < 0.05. The "top hit" was an interaction between maternal ENPP1 rs1044498 and fetal SLC2A2 rs6785233 (interaction OR = 3.65, 95% CI: 2.32-5.74, p = 2.09×10(-8), q=0.001), which was confirmed in step 2 (p = 0.00004). Our findings suggest that maternal metabolic genes associated with hyperglycemia and insulin resistance and fetal metabolic genes involved in glucose homeostasis may interact to increase the risk of NTDs.
-
Subjects:
-
Source:Mol Genet Metab. 111(1):46-51.
-
Pubmed ID:24332798
-
Pubmed Central ID:PMC4394735
-
Document Type:
-
Funding:L40 DE023736/DE/NIDCR NIH HHS/United States ; P30 ES010126/ES/NIEHS NIH HHS/United States ; P30ES010126/ES/NIEHS NIH HHS/United States ; R01 NS 050249/NS/NINDS NIH HHS/United States ; R01 NS050249/NS/NINDS NIH HHS/United States ; R21 HD 058912/HD/NICHD NIH HHS/United States ; R21 HD058912/HD/NICHD NIH HHS/United States ; U01/DD000494/DD/NCBDD CDC HHS/United States ; U50/CCU925286/PHS HHS/United States
-
Volume:111
-
Issue:1
-
Collection(s):
-
Main Document Checksum:urn:sha256:58aab8791b08c1cd70884e01d102481927a41791c591e193004a9d8a565bc29c
-
Download URL:
-
File Type:
Supporting Files
ON THIS PAGE
CDC STACKS serves as an archival repository of CDC-published products including
scientific findings,
journal articles, guidelines, recommendations, or other public health information authored or
co-authored by CDC or funded partners.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
You May Also Like
COLLECTION
CDC Public Access