Evidence map›Paper›PMID 35301205›Full record

ArticleBMJ open2022

Study protocol to quantify the genetic architecture of sonographic cervical length and its relationship to spontaneous preterm birth.

Hope M Wolf, Roberto Romero, Jerome F Strauss, Sonia S Hassan, Shawn J Latendresse, Bradley T Webb, Adi L Tarca, Nardhy Gomez-Lopez, Chaur-Dong Hsu, Timothy P York

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

10 authors at 4 institutions in 1 country.

Hope M WolfDepartment of Human and Molecular Genetics, Virginia Commonwealth University School of Medicine, Richmond, Virginia, USA wolfhm@vcu.edu.ORCID 0000-0003-0888-5272
Roberto RomeroPerinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, U.S. Department of Health and Human Services, Detroit, Michigan, USA.ORCID 0000-0002-4448-5121
Jerome F StraussDepartment of Obstetrics and Gynecology, Virginia Commonwealth University School of Medicine, Richmond, Virginia, USA.ORCID 0000-0001-6199-0480
Sonia S HassanOffice of Women's Health, Wayne State University, Detroit, Michigan, USA.
Shawn J LatendresseDepartment of Psychology and Neuroscience, Baylor University, Waco, Texas, USA.ORCID 0000-0003-3109-5033
Bradley T WebbGenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, North Carolina, USA.ORCID 0000-0002-0576-5366
Adi L TarcaPerinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, U.S. Department of Health and Human Services, Detroit, Michigan, USA.ORCID 0000-0003-1712-7588
Nardhy Gomez-LopezPerinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, U.S. Department of Health and Human Services, Detroit, Michigan, USA.ORCID 0000-0002-3406-5262
Chaur-Dong HsuPerinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, U.S. Department of Health and Human Services, Detroit, Michigan, USA.ORCID 0000-0002-9642-470X
Timothy P YorkDepartment of Human and Molecular Genetics, Virginia Commonwealth University School of Medicine, Richmond, Virginia, USA.ORCID 0000-0003-4068-4286
Wayne State University · USVirginia Commonwealth University · USBaylor University · USRTI International · US

Funding

NICHD NIH HHS HHSN275201300006C
6 · The paper itself

Abstract

introductionA short cervix (cervical length <25 mm) in the midtrimester (18-24 weeks) of pregnancy is a powerful predictor of spontaneous preterm delivery. Although the biological mechanisms of cervical change during pregnancy have been the subject of extensive investigation, little is known about whether genes influence the length of the cervix, or the extent to which genetic factors contribute to premature cervical shortening. Defining the genetic architecture of cervical length is foundational to understanding the aetiology of a short cervix and its contribution to an increased risk of spontaneous preterm delivery. METHODS/ANALYSIS: The proposed study is designed to characterise the genetic architecture of cervical length and its genetic relationship to gestational age at delivery in a large cohort of Black/African American women, who are at an increased risk of developing a short cervix and delivering preterm. Repeated measurements of cervical length will be modelled as a longitudinal growth curve, with parameters estimating the initial length of the cervix at the beginning of pregnancy, and its rate of change over time. Genome-wide complex trait analysis methods will be used to estimate the heritability of cervical length growth parameters and their bivariate genetic correlation with gestational age at delivery. Polygenic risk profiling will assess maternal genetic risk for developing a short cervix and subsequently delivering preterm and evaluate the role of cervical length in mediating the relationship between maternal genetic variation and gestational age at delivery. ETHICS/DISSEMINATION: The proposed analyses will be conducted using deidentified data from participants in an IRB-approved study of longitudinal cervical length who provided blood samples and written informed consent for their use in future genetic research. These analyses are preregistered with the Center for Open Science using the AsPredicted format and the results and genomic summary statistics will be published in a peer-reviewed journal.

Indexed as

Premature BirthCervix UteriFemaleGestational AgeHumansInfant, NewbornPregnancyPregnancy Trimester, SecondUltrasonographyfetal medicinegeneticsmaternal medicineobstetricsperinatologystatistics & research methods

Identifiers

PMID35301205
PMCPMC8932269
OpenAlexW4220991535

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.