Literature DB >> 24332798

Maternal-fetal metabolic gene-gene interactions and risk of neural tube defects.

Philip J Lupo1, Laura E Mitchell2, Mark A Canfield3, Gary M Shaw4, Andrew F Olshan5, Richard H Finnell6, Huiping Zhu7.   

Abstract

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. Published by Elsevier Inc.

Entities:  

Keywords:  BMI; Birth defects; CATI; CI; FDR; GWAS; Gene–gene interactions; LRT; Maternal genetics; Metabolic genes; NBDPS; NTDs; National Birth Defects Prevention Study; Neural tube defects; RR; SNP; body mass index; computer assisted telephone interview; confidence interval; false discovery rate; genome-wide association study; likelihood ratio test; neural tube defects; risk ratio; single nucleotide polymorphism

Mesh:

Substances:

Year:  2013        PMID: 24332798      PMCID: PMC4394735          DOI: 10.1016/j.ymgme.2013.11.004

Source DB:  PubMed          Journal:  Mol Genet Metab        ISSN: 1096-7192            Impact factor:   4.797


  65 in total

Review 1.  From GWAS to biology: lessons from FTO.

Authors:  Yi-Chun Loraine Tung; Giles S H Yeo
Journal:  Ann N Y Acad Sci       Date:  2011-03       Impact factor: 5.691

2.  A log-linear approach to case-parent-triad data: assessing effects of disease genes that act either directly or through maternal effects and that may be subject to parental imprinting.

Authors:  C R Weinberg; A J Wilcox; R T Lie
Journal:  Am J Hum Genet       Date:  1998-04       Impact factor: 11.025

3.  Non-hierarchical logistic models and case-only designs for assessing susceptibility in population-based case-control studies.

Authors:  W W Piegorsch; C R Weinberg; J A Taylor
Journal:  Stat Med       Date:  1994-01-30       Impact factor: 2.373

4.  Interactions between cigarette smoking and selected polymorphisms in xenobiotic metabolizing enzymes in risk for colorectal cancer: A case-only analysis.

Authors:  Mala Pande; Christopher I Amos; Cathy Eng; Marsha L Frazier
Journal:  Mol Carcinog       Date:  2010-11       Impact factor: 4.784

5.  The K121Q variant of the human PC-1 gene is not associated with insulin resistance or type 2 diabetes among Danish Caucasians.

Authors:  S K Rasmussen; S A Urhammer; A Pizzuti; S M Echwald; C T Ekstrøm; L Hansen; T Hansen; K Borch-Johnsen; L Frittitta; V Trischitta; O Pedersen
Journal:  Diabetes       Date:  2000-09       Impact factor: 9.461

6.  Diabetes mellitus and birth defects.

Authors:  Adolfo Correa; Suzanne M Gilboa; Lilah M Besser; Lorenzo D Botto; Cynthia A Moore; Charlotte A Hobbs; Mario A Cleves; Tiffany J Riehle-Colarusso; D Kim Waller; E Albert Reece
Journal:  Am J Obstet Gynecol       Date:  2008-07-31       Impact factor: 8.661

7.  K121Q PC-1 gene polymorphism is not associated with insulin resistance in a Spanish population.

Authors:  José Luis González-Sánchez; María Teresa Martínez-Larrad; Cristina Fernández-Pérez; Agata Kubaszek; Markku Laakso; Manuel Serrano-Ríos
Journal:  Obes Res       Date:  2003-05

8.  Integration of DNA sample collection into a multi-site birth defects case-control study.

Authors:  Sonja A Rasmussen; Edward J Lammer; Gary M Shaw; Richard H Finnell; Robert E McGehee; Margaret Gallagher; Paul A Romitti; Jeffrey C Murray
Journal:  Teratology       Date:  2002-10

9.  Positional cloning of the mouse obese gene and its human homologue.

Authors:  Y Zhang; R Proenca; M Maffei; M Barone; L Leopold; J M Friedman
Journal:  Nature       Date:  1994-12-01       Impact factor: 49.962

10.  Risk of neural tube defect-affected pregnancies among obese women.

Authors:  G M Shaw; E M Velie; D Schaffer
Journal:  JAMA       Date:  1996-04-10       Impact factor: 56.272

View more
  17 in total

1.  Adipose Tissue Insulin Resistance in Gestational Diabetes.

Authors:  Batbayar Tumurbaatar; Aaron T Poole; Gayle Olson; Michel Makhlouf; Hanaa S Sallam; Shwetha Thukuntla; Sucharitha Kankanala; Obos Ekhaese; Guillermo Gomez; Manisha Chandalia; Nicola Abate
Journal:  Metab Syndr Relat Disord       Date:  2017-01-12       Impact factor: 1.894

2.  Original Findings and Updated Meta-Analysis for the Association Between Maternal Diabetes and Risk for Congenital Heart Disease Phenotypes.

Authors:  Thanh T Hoang; Lisa K Marengo; Laura E Mitchell; Mark A Canfield; A J Agopian
Journal:  Am J Epidemiol       Date:  2017-07-01       Impact factor: 4.897

3.  Intersection of complex genetic traits affecting maternal metabolism, fetal metabolism, and neural tube defect risk: looking for needles in multiple haystacks.

Authors:  Mary R Loeken
Journal:  Mol Genet Metab       Date:  2014-01-25       Impact factor: 4.797

4.  Digenic variants of planar cell polarity genes in human neural tube defect patients.

Authors:  Linlin Wang; Yanhui Xiao; Tian Tian; Lei Jin; Yunping Lei; Richard H Finnell; Aiguo Ren
Journal:  Mol Genet Metab       Date:  2018-03-18       Impact factor: 4.797

Review 5.  Genetic, epigenetic, and environmental contributions to neural tube closure.

Authors:  Jonathan J Wilde; Juliette R Petersen; Lee Niswander
Journal:  Annu Rev Genet       Date:  2014-10-06       Impact factor: 16.830

6.  Association of facilitated glucose transporter 2 gene variants with the myelomeningocele phenotype.

Authors:  Jaclyn E Ruggiero; Hope Northrup; Kit Sing Au
Journal:  Birth Defects Res A Clin Mol Teratol       Date:  2015-03-17

7.  A Three-Way Interaction among Maternal and Fetal Variants Contributing to Congenital Heart Defects.

Authors:  Ming Li; Jingyun Li; Changshuai Wei; Qing Lu; Xinyu Tang; Stephen W Erickson; Stewart L MacLeod; Charlotte A Hobbs
Journal:  Ann Hum Genet       Date:  2015-11-27       Impact factor: 1.670

Review 8.  Mechanisms of Congenital Malformations in Pregnancies with Pre-existing Diabetes.

Authors:  Mary R Loeken
Journal:  Curr Diab Rep       Date:  2020-09-12       Impact factor: 4.810

Review 9.  Update on Prepregnancy Maternal Obesity: Birth Defects and Childhood Outcomes.

Authors:  Noha Iessa; Anick Bérard
Journal:  J Pediatr Genet       Date:  2015-06

10.  The Quantitative-MFG Test: A Linear Mixed Effect Model to Detect Maternal-Offspring Gene Interactions.

Authors:  Michelle M Clark; John Blangero; Thomas D Dyer; Eric M Sobel; Janet S Sinsheimer
Journal:  Ann Hum Genet       Date:  2015-11-15       Impact factor: 1.670

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.