Evidence map›Paper›PMID 23132673›Full record

ArticleAmerican journal of epidemiology2012

Diabetes and obesity-related genes and the risk of neural tube defects in the national birth defects prevention study.

Philip J Lupo, Mark A Canfield, Claudia Chapa, Wei Lu, A J Agopian, Laura E Mitchell, Gary M Shaw, D Kim Waller, Andrew F Olshan, Richard H Finnell and 1 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in American journal of epidemiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
4.2field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Genetic epidemiology of neural tube defects.Journal of pediatric rehabilitation medicine · 2017
    Review
  13. Article
  14. Article
  15. Genetic association of the glycine cleavage system genes and myelomeningocele.Birth defects research. Part A, Clinical and molecular teratology · 2016
    Article
  16. Detecting gene-environment interactions in human birth defects: Study designs and statistical methods.Birth defects research. Part A, Clinical and molecular teratology · 2015
    Article
  17. Association of facilitated glucose transporter 2 gene variants with the myelomeningocele phenotype.Birth defects research. Part A, Clinical and molecular teratology · 2015
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 1 country.

Philip J LupoHuman Genetics Center, Division of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas, Houston, TX, USA.
Mark A Canfield
Claudia Chapa
Wei Lu
A J Agopian
Laura E Mitchell
Gary M Shaw
D Kim Waller
Andrew F Olshan
Richard H Finnell
Huiping Zhu
The University of Texas at Austin · USStanford University · USTexas Department of State Health Services · USThe University of Texas Health Science Center at Houston · US

Funding

Carolina Population CenterR24HD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MORGAN, SAMUEL PHILIP · 2005 to 2014
$10.0M
Texas Center for Birth Defects Research and PreventionU01DD000494 · DD · TEXAS STATE DEPT OF HEALTH SERVICES · PI CANFIELD, MARK A · 2009 to 2013
$3.9M
Gene-nutrient Etiologies of Neural Tube DefectsR01NS050249 · NINDS · STANFORD UNIVERSITY · PI SHAW, GARY M · 2005 to 2010
$2.1M
Genetic Susceptibility of Neural Tube Defects: Diabetes/Obesity-related GenesR21HD058912 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI ZHU, HUIPING · 2009 to 2010
$411k
NCBDD CDC HHS U01 DD000494NCBDD CDC HHS U01/DD000494NICHD NIH HHS R21 HD058912NICHD NIH HHS R24 HD050924NINDS NIH HHS R01 NS 050249NINDS NIH HHS R01 NS050249PHS HHS U50/CCU925286
6 · The paper itself

Abstract

Few studies have evaluated genetic susceptibility related to diabetes and obesity as a risk factor for neural tube defects (NTDs). The authors investigated 23 single nucleotide polymorphisms among 9 genes (ADRB3, ENPP1, FTO, LEP, PPARG, PPARGC1A, SLC2A2, TCF7L2, and UCP2) associated with type 2 diabetes or obesity. Samples were obtained from 737 NTD case-parent triads included in the National Birth Defects Prevention Study during 1999-2007. Log-linear models were used to evaluate maternal and offspring genetic effects. After application of the false discovery rate, there were 5 significant maternal genetic effects. The less common alleles at the 4 FTO single nucleotide polymorphisms showed a reduction of NTD risk (for rs1421085, relative risk (RR) = 0.73 (95% confidence interval (CI): 0.62, 0.87); for rs8050136, RR = 0.79 (95% CI: 0.67, 0.93); for rs9939609, RR = 0.79 (95% CI: 0.67, 0.94); and for rs17187449, RR = 0.80 (95% CI: 0.68, 0.95)). Additionally, maternal LEP rs2071045 (RR = 1.31, 95% CI: 1.08, 1.60) and offspring UCP2 rs660339 (RR = 1.32, 95% CI: 1.06, 1.64) were associated with NTD risk. Furthermore, the maternal genotype for TCF7L2 rs3814573 suggested an increased NTD risk among obese women. These findings indicate that maternal genetic variants associated with glucose homeostasis may modify the risk of having an NTD-affected pregnancy.

Indexed as

AdultDiabetes MellitusFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansInfant, NewbornLinear ModelsMaleNeural Tube DefectsObesityPolymorphism, Single NucleotidePregnancyPregnancy ComplicationsRiskUnited States

Identifiers

PMID23132673
PMCPMC3571234
OpenAlexW2104301473

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.