Evidence map›Paper›PMID 22140583›Full record

ArticlePloS one2011

A genetic signature of spina bifida risk from pathway-informed comprehensive gene-variant analysis.

Nicholas J Marini, Thomas J Hoffmann, Edward J Lammer, Jill Hardin, Katherine Lazaruk, Jason B Stein, Dennis A Gilbert, Crystal Wright, Anna Lipzen, Len A Pennacchio and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
2.8field-weighted citation impact, top 10% 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. MTHFD1 polymorphism as maternal risk for neural tube defects: a meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2015
    Pooled it
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  5. Review
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  13. Mutations in folate transporter genes and risk for human myelomeningocele.American journal of medical genetics. Part A · 2017
    Article
  14. Review
  15. Article
  16. Article
  17. Observational
  18. Article
  19. Missing genetic risk in neural tube defects: can exome sequencing yield an insight?Birth defects research. Part A, Clinical and molecular teratology · 2014
    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

14 authors at 4 institutions in 1 country.

Nicholas J MariniDepartment of Molecular and Cellular Biology, California Institute for Quantitative Biosciences, University of California, Berkeley, California, United States of America. nmarini@berkeley.edu
Thomas J Hoffmann
Edward J Lammer
Jill Hardin
Katherine Lazaruk
Jason B Stein
Dennis A Gilbert
Crystal Wright
Anna Lipzen
Len A Pennacchio
Suzan L Carmichael
John S Witte
Gary M Shaw
Jasper Rine
Joint Genome Institute · USStanford University · USUniversity of California, Berkeley · USUniversity of California, San Francisco · US

Funding

Training in Molecular& Genetic Epidemiology of CancerR25CA112355 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WITTE, JOHN S. · 2005 to 2018
$6.5M
Impact of Genetic Variation on Folate Metabolsim: Etiology of Neural Tube DefectsR01GM072859 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI RINE, JASPER D · 2007 to 2015
$4.4M
Methyl Donor Pathway Genetics in the Development of Orofacial CleftsRC1DE020640 · NIDCR · UNIVERSITY OF CALIFORNIA BERKELEY · PI RINE, JASPER D · 2009 to 2010
$933k
NCI NIH HHS R25 CA112355NIDCR NIH HHS RC1 DE020640NIGMS NIH HHS R01 GM072859NINDS NIH HHS R01 NS05249
6 · The paper itself

Abstract

Despite compelling epidemiological evidence that folic acid supplements reduce the frequency of neural tube defects (NTDs) in newborns, common variant association studies with folate metabolism genes have failed to explain the majority of NTD risk. The contribution of rare alleles as well as genetic interactions within the folate pathway have not been extensively studied in the context of NTDs. Thus, we sequenced the exons in 31 folate-related genes in a 480-member NTD case-control population to identify the full spectrum of allelic variation and determine whether rare alleles or obvious genetic interactions within this pathway affect NTD risk. We constructed a pathway model, predetermined independent of the data, which grouped genes into coherent sets reflecting the distinct metabolic compartments in the folate/one-carbon pathway (purine synthesis, pyrimidine synthesis, and homocysteine recycling to methionine). By integrating multiple variants based on these groupings, we uncovered two provocative, complex genetic risk signatures. Interestingly, these signatures differed by race/ethnicity: a Hispanic risk profile pointed to alterations in purine biosynthesis, whereas that in non-Hispanic whites implicated homocysteine metabolism. In contrast, parallel analyses that focused on individual alleles, or individual genes, as the units by which to assign risk revealed no compelling associations. These results suggest that the ability to layer pathway relationships onto clinical variant data can be uniquely informative for identifying genetic risk as well as for generating mechanistic hypotheses. Furthermore, the identification of ethnic-specific risk signatures for spina bifida resonated with epidemiological data suggesting that the underlying pathogenesis may differ between Hispanic and non-Hispanic groups.

Indexed as

Gene Expression ProfilingGenetic Predisposition to DiseaseAllelesCase-Control StudiesFolic AcidHispanic or LatinoHomocysteineHumansInfant, NewbornMetabolic Networks and PathwaysModels, GeneticMutationPurinesRisk FactorsSpinal DysraphismWhite PeopleFolic AcidHomocysteinePurines

Identifiers

PMID22140583
PMCPMC3227667
OpenAlexW2087808142

What OpenQuestion holds

Textmetadata
LicenceCC0
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.