Evidence map›Paper›PMID 20617897›Full record

ArticleThe journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians2011

Polymorphisms in maternal and fetal genes encoding for proteins involved in extracellular matrix metabolism alter the risk for small-for-gestational-age.

Digna R Velez Edwards, Roberto Romero, Juan Pedro Kusanovic, Sonia S Hassan, Shali Mazaki-Tovi, Edi Vaisbuch, Chong Jai Kim, Offer Erez, Tinnakorn Chaiworapongsa, Brad D Pearce and 12 more

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In one paragraph

Article in The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Growth hormone insensitivity: Mexican case report.Endocrinology, diabetes & metabolism case reports · 2017
    Article
  5. Article
  6. Article
  7. Polymorphisms in inflammatory genes are associated with term small for gestational age and preeclampsia.American journal of reproductive immunology (New York, N.Y. : 1989) · 2014
    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

22 authors at 7 institutions in 2 countries.

Digna R Velez EdwardsDepartment of Obstetrics and Gynecology, Vanderbilt Epidemiology Center, Institute of Medicine and Public Health, Vanderbilt University, Nashville, Tennessee, USA.
Roberto Romero
Juan Pedro Kusanovic
Sonia S Hassan
Shali Mazaki-Tovi
Edi Vaisbuch
Chong Jai Kim
Offer Erez
Tinnakorn Chaiworapongsa
Brad D Pearce
Jacquelaine Bartlett
Lara A Friel
Benjamin A Salisbury
Madan Kumar Anant
Gerald F Vovis
Min Seob Lee
Ricardo Gomez
Ernesto Behnke
Enrique Oyarzun
Gerard Tromp
Ramkumar Menon
Scott M Williams
Wayne State University · USNational Institutes of Health · USVanderbilt University · USEmory University · USPontificia Universidad Católica de Chile · CLComplejo Asistencial Sótero del Río · CLHelix (United States) · US

Funding

The Role Of Subclinical Infection And Cytokines In Preterm ParturitionZIAHD002400 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI ROMERO, ROBERTO · 2009 to 2025
$254.4M
Intramural NIH HHS ZIA HD002400
6 · The paper itself

Abstract

objectiveTo examine the association between maternal and fetal genetic variants and small-for-gestational-age (SGA).

methodsA case-control study was conducted in patients with SGA neonates (530 maternal and 436 fetal) and controls (599 maternal and 628 fetal); 190 candidate genes and 775 SNPs were studied. Single-locus, multi-locus and haplotype association analyses were performed on maternal and fetal data with logistic regression, multifactor dimensionality reduction (MDR) analysis, and haplotype-based association with 2 and 3 marker sliding windows, respectively. Ingenuity pathway analysis (IPA) software was used to assess pathways that associate with SGA.

resultsThe most significant single-locus association in maternal data was with a SNP in tissue inhibitor of metalloproteinase 2 (TIMP2) (rs2277698 OR = 1.71, 95% CI [1.26-2.32], p = 0.0006) while in the fetus it was with a SNP in fibronectin 1 isoform 3 preproprotein (FN1) (rs3796123, OR = 1.46, 95% CI [1.20-1.78], p = 0.0001). Both SNPs were adjusted for potential confounders (maternal body mass index and fetal sex). Haplotype analyses resulted in associations in α 1 type I collagen preproprotein (COL1A1, rs1007086-rs2141279-rs17639446, global p = 0.006) in mothers and FN1 (rs2304573-rs1250204-rs1250215, global p = 0.045) in fetuses. Multi-locus analyses with MDR identified a two SNP model with maternal variants collagen type V α 2 (COL5A2) and plasminogen activator urokinase (PLAU) predicting SGA outcome correctly 59% of the time (p = 0.035).

conclusionsGenetic variants in extracellular matrix-related genes showed significant single-locus association with SGA. These data are consistent with other studies that have observed elevated circulating fibronectin concentrations in association with increased risk of SGA. The present study supports the hypothesis that DNA variants can partially explain the risk of SGA in a cohort of Hispanic women.

Indexed as

Infant, Small for Gestational AgePolymorphism, Single NucleotideAdultCase-Control StudiesExtracellular MatrixFemaleFetal DevelopmentFetal Growth RetardationFetusGenetic Predisposition to DiseaseHumansInfant, NewbornMaleMaternal-Fetal RelationsMetabolic Networks and PathwaysMothersProteins

Identifiers

PMID20617897
PMCPMC3104673
OpenAlexW2022081686

What OpenQuestion holds

Textmetadata
LicenceTDM
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.