Evidence map›Paper›PMID 32726798›Full record

ArticlePediatric research2021

Genome-wide association study identifies a novel maternal gene × stress interaction associated with spontaneous preterm birth.

Xiumei Hong, Pamela J Surkan, Boyang Zhang, Amaris Keiser, Yuelong Ji, Hongkai Ji, Irina Burd, Blandine Bustamante-Helfrich, S Michelle Ogunwole, Wan-Yee Tang and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Pediatric research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
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

16 authors at 4 institutions in 1 country.

Xiumei HongCenter on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA. xhong3@jhu.edu.
Pamela J SurkanDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Boyang ZhangDepartment of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Amaris KeiserDepartment of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Yuelong JiCenter on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Hongkai JiDepartment of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Irina BurdIntegrated Research Center for Fetal Medicine, Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Blandine Bustamante-HelfrichDepartment of Clinical and Applied Science Education (Pathology), University of the Incarnate Word School of Osteopathic Medicine, San Antonio, TX, USA.
S Michelle OgunwoleDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Wan-Yee TangDepartment of Environmental Health and Engineering, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Li LiuDepartment of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Colleen PearsonDepartment of Pediatrics, Boston University School of Medicine and Boston Medical Center, Boston, MA, USA.
Sandra CerdaDepartment of Pathology and Laboratory Medicine, Boston Medical Center, Boston, MA, USA.
Barry ZuckermanDepartment of Pediatrics, Boston University School of Medicine and Boston Medical Center, Boston, MA, USA.
Lingxin HaoDepartment of Sociology, Johns Hopkins University, Baltimore, MD, USA.
Xiaobin WangCenter on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Johns Hopkins University · USBoston Medical Center · USJohns Hopkins Medicine · USUniversity of the Incarnate Word · US

Funding

Preterm Birth, Maternal and Cord Blood Metabolome, and Child Metabolic RiskR01HD041702 · NICHD · LURIE CHILDREN'S HOSPITAL OF CHICAGO · PI Frank B Hu, XIAOBIN WANG · 2001 to 2026
$11.1M
Research Infrastructure for the Hopkins Population CenterR24HD042854 · NICHD · JOHNS HOPKINS UNIVERSITY · PI HAO, LINGXIN · 2003 to 2017
$5.1M
Boston University Clinical and Translational Science Institute - U ProgramU54TR001012 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CENTER, DAVID M. · 2014 to 2014
$3.9M
Early Life Determinants of Obesity in U.S. Urban Low Income Minority Birth CohortR01HD086013 · NICHD · JOHNS HOPKINS UNIVERSITY · PI LEE, BRUCE Y, WANG, XIAOBIN · 2016 to 2020
$3.3M
The Hopkins Population CenterP2CHD042854 · NICHD · JOHNS HOPKINS UNIVERSITY · PI Alison Gemmill · 2021 to 2026
$3.0M
Inter-generational Link of Cardio-Metabolic Risk: Integrate Multi-OMICs with Birth CohortR01HD098232 · NICHD · JOHNS HOPKINS UNIVERSITY · PI LIANG, LIMING, WANG, XIAOBIN · 2019 to 2022
$2.7M
Prenatal Multi-Level Stressors and Alterations in Maternal and Fetal EpigenomesR21HD085556 · NICHD · JOHNS HOPKINS UNIVERSITY · PI SURKAN, PAMELA J, WANG, XIAOBIN · 2016 to 2017
$449k
Maternal Stress and Preterm Birth: Role of Genome and EpigenomeR03HD096136 · NICHD · JOHNS HOPKINS UNIVERSITY · PI HONG, XIUMEI · 2018 to 2019
$164k
NCATS NIH HHS U54 TR001012NHLBI NIH HHS HHSN268201200008CNHLBI NIH HHS HHSN268201200008INICHD NIH HHS P2C HD042854NICHD NIH HHS R01 HD041702NICHD NIH HHS R01 HD086013NICHD NIH HHS R01 HD098232NICHD NIH HHS R03 HD096136NICHD NIH HHS R21 HD085556NICHD NIH HHS R24 HD042854
6 · The paper itself

Abstract

backgroundMaternal stress is potentially a modifiable risk factor for spontaneous preterm birth (sPTB). However, epidemiologic findings on the maternal stress-sPTB relationship have been inconsistent.

methodsTo investigate whether the maternal stress-sPTB associations may be modified by genetic susceptibility, we performed genome-wide gene × stress interaction analyses in 1490 African-American women from the Boston Birth cohort who delivered term (n = 1033) or preterm (n = 457) infants. Genotyping was performed using Illumina HumanOmni 2.5 array. Replication was performed using data from the NICHD genomic and Proteomic Network (GPN) for PTB research.

resultsrs35331017, a T-allele insertion/deletion polymorphism in the protein-tyrosine phosphatase receptor Type D (PTPRD) gene, was the top hit that interacted significantly with maternal lifetime stress on risk of sPTB (P

conclusionWe demonstrated a significant maternal PTPRD × stress interaction on sPTB risk. This finding, if further confirmed, may provide new insight into individual susceptibility to stress-induced sPTB. IMPACT: This was the first preterm study to demonstrate a significant genome-wide gene-stress interaction in African Americans, specifically, PTPRD gene variants can interact with maternal perceived stress to affect risk of spontaneous preterm birth. The PTPRD × maternal stress interaction was demonstrated in African Americans and replicated in both African Americans and Caucasians from the GPN study. Our findings highlight the importance of considering genetic susceptibility in assessing the role of maternal stress on spontaneous preterm birth.

Indexed as

Genome-Wide Association StudyInfant, PrematureAdultCohort StudiesFemaleHumansInfant, NewbornMalePolymorphism, Single NucleotidePregnancyStress, Physiological

Identifiers

PMID32726798
PMCPMC8400921
OpenAlexW3045922833

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.