Evidence map›Paper›PMID 25549360›Full record

ArticlePloS one2014

Placental genome and maternal-placental genetic interactions: a genome-wide and candidate gene association study of placental abruption.

Marie Denis, Daniel A Enquobahrie, Mahlet G Tadesse, Bizu Gelaye, Sixto E Sanchez, Manuel Salazar, Cande V Ananth, Michelle A Williams

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Familial risk of placental abruption.European journal of obstetrics, gynecology, and reproductive biology · 2026
    Article
  3. Article
  4. Article
  5. Maternal-fetal genetic interactions, imprinting, and risk of placental abruption.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 · 2022
    Article
  6. Maternal DNA Methylation During Pregnancy: a Review.Reproductive sciences (Thousand Oaks, Calif.) · 2021
    Review
  7. Review
  8. Article
  9. Genomic and molecular characterization of preterm birth.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  10. Article
  11. Article
  12. Genetic variations related to maternal whole blood mitochondrial DNA copy number: a genome-wide and candidate gene study.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 · 2017
    Article
  13. Review
  14. Article
  15. Article
  16. 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

8 authors at 6 institutions in 3 countries.

Marie DenisDepartment of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America; UMR AGAP (Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicales), CIRAD, Montpellier, France.
Daniel A EnquobahrieCenter for Perinatal Studies, Swedish Medical Center, Seattle, Washington, United States of America; Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, United States of America.
Mahlet G TadesseDepartment of Mathematics and Statistics, Georgetown University, Washington, D.C., United States of America.
Bizu GelayeDepartment of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Sixto E SanchezSección de Post Grado, Facultad de Medicina Humana, Universidad San Martín de Porres, Lima, Peru; A.C. PROESA, Lima, Peru.
Manuel SalazarDepartment of Obstetrics and Gynecology, San Marcos University, Lima, Peru.
Cande V AnanthDepartment of Obstetrics and Gynecology, College of Physicians and Surgeons, Columbia University Medical Center, New York, New York, United States of America; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, United States of America.
Michelle A WilliamsDepartment of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Harvard University · USCentre de Coopération Internationale en Recherche Agronomique pour le Développement · FRColumbia University Irving Medical Center · USGeorgetown University · USSwedish Medical Center · USUniversidad de San Martín de Porres · PE

Funding

Triggers of Abruptio Placentae - A Case Crossover Study of an Ischemic PlacentalR01HD059827 · NICHD · SWEDISH MEDICAL CENTER, FIRST HILL · PI ANANTH, CANDE V., WILLIAMS, MICHELLE A. · 2010 to 2014
$2.7M
MICROPHYSIOMETRY OF NEW BUFADIENOLIDE GLYCOSIDESF32HL010374 · NHLBI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI ABRELL, LEIF M · 2000 to 2001
$80k
NHLBI NIH HHS F32 HL010374NHLBI NIH HHS K01HL10374NICHD NIH HHS R01 HD059827NICHD NIH HHS R01HD059827
6 · The paper itself

Abstract

While available evidence supports the role of genetics in the pathogenesis of placental abruption (PA), PA-related placental genome variations and maternal-placental genetic interactions have not been investigated. Maternal blood and placental samples collected from participants in the Peruvian Abruptio Placentae Epidemiology study were genotyped using Illumina's Cardio-Metabochip platform. We examined 118,782 genome-wide SNPs and 333 SNPs in 32 candidate genes from mitochondrial biogenesis and oxidative phosphorylation pathways in placental DNA from 280 PA cases and 244 controls. We assessed maternal-placental interactions in the candidate gene SNPS and two imprinted regions (IGF2/H19 and C19MC). Univariate and penalized logistic regression models were fit to estimate odds ratios. We examined the combined effect of multiple SNPs on PA risk using weighted genetic risk scores (WGRS) with repeated ten-fold cross-validations. A multinomial model was used to investigate maternal-placental genetic interactions. In placental genome-wide and candidate gene analyses, no SNP was significant after false discovery rate correction. The top genome-wide association study (GWAS) hits were rs544201, rs1484464 (CTNNA2), rs4149570 (TNFRSF1A) and rs13055470 (ZNRF3) (p-values: 1.11e-05 to 3.54e-05). The top 200 SNPs of the GWAS overrepresented genes involved in cell cycle, growth and proliferation. The top candidate gene hits were rs16949118 (COX10) and rs7609948 (THRB) (p-values: 6.00e-03 and 8.19e-03). Participants in the highest quartile of WGRS based on cross-validations using SNPs selected from the GWAS and candidate gene analyses had a 8.40-fold (95% CI: 5.8-12.56) and a 4.46-fold (95% CI: 2.94-6.72) higher odds of PA compared to participants in the lowest quartile. We found maternal-placental genetic interactions on PA risk for two SNPs in PPARG (chr3:12313450 and chr3:12412978) and maternal imprinting effects for multiple SNPs in the C19MC and IGF2/H19 regions. Variations in the placental genome and interactions between maternal-placental genetic variations may contribute to PA risk. Larger studies may help advance our understanding of PA pathogenesis.

Indexed as

Polymorphism, Single NucleotideAbruptio PlacentaeAdultFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGenomic ImprintingHumansInsulin-Like Growth Factor IIMitochondriaOxidation-ReductionPregnancyRNA, Long NoncodingYoung AdultH19 long non-coding RNAIGF2 protein, humanInsulin-Like Growth Factor IIRNA, Long Noncoding

Identifiers

PMID25549360
PMCPMC4280220
OpenAlexW2137691227

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.