Evidence map›Paper›PMID 38705643›Full record

ReviewClinics in perinatology2024

Recent Advances in Genomic Studies of Gestational Duration and Preterm Birth.

Amit K Srivastava, Nagendra Monangi, Vidhya Ravichandran, Pol Solé-Navais, Bo Jacobsson, Louis J Muglia, Ge Zhang

Abstract readReview
In one paragraph

Review in Clinics in perinatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Amit K SrivastavaDivision of Human Genetics, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA.
Nagendra MonangiDepartment of Pediatrics, University of Cincinnati College of Medicine, Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center and March of Dimes Prematurity Research Center Ohio Collaborative; Division of Neonatology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA.
Vidhya RavichandranDivision of Human Genetics, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA; Division of Neonatology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA.
Pol Solé-NavaisDepartment of Obstetrics and Gynaecology, Sahlgrenska Academy, Institute of Clinical Sciences, University of Gothenburg, Box 100, Gothenburg 405 30, Sweden.
Bo JacobssonDepartment of Obstetrics and Gynaecology, Sahlgrenska Academy, Institute of Clinical Sciences, University of Gothenburg, Box 100, Gothenburg 405 30, Sweden; Department of Genetics and Bioinformatics, Health Data and Digitalization, Norwegian Institute of Public Health, Lovisenberggata 8, Oslo 0456, Norway.
Louis J MugliaDivision of Human Genetics, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA; Department of Pediatrics, University of Cincinnati College of Medicine, Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center and March of Dimes Prematurity Research Center Ohio Collaborative; The Burroughs Wellcome Fund, 21 Tw Alexander Drive, Research Triangle Park, NC 27709, USA.
Ge ZhangDivision of Human Genetics, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA; Department of Pediatrics, University of Cincinnati College of Medicine, Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center and March of Dimes Prematurity Research Center Ohio Collaborative. Electronic address: ge.zhang@cchmc.org.

Funding

Integrating genomic studies of gestational duration and birth weight to understand maternal and fetal causes of adverse pregnancy outcomes and links with later diseasesR01HD101669 · NICHD · CINCINNATI CHILDRENS HOSP MED CTR · PI FREATHY, RACHEL, JACOBSSON, BO · 2021 to 2024
$2.1M
NICHD NIH HHS R01 HD101669
6 · The paper itself

Abstract

Preterm birth (PTB) is the leading cause of infant mortality and morbidity. For several decades, extensive epidemiologic and genetic studies have highlighted the significant contribution of maternal and offspring genetic factors to PTB. This review discusses the challenges inherent in conventional genomic analyses of PTB and underscores the importance of adopting nonconventional approaches, such as analyzing the mother-child pair as a single analytical unit, to disentangle the intertwined maternal and fetal genetic influences. We elaborate on studies investigating PTB phenotypes through 3 levels of genetic analyses: single-variant, multi-variant, and genome-wide variants.

Indexed as

Genome-Wide Association StudyGestational AgePremature BirthFemaleGenomicsHumansInfant, NewbornPolymorphism, Single NucleotidePregnancyGenetic architectureGenetic associationGenetic correlationGenome-wide associationGenomicsMendelian randomizationPolygenic scoreSNP-heritability

Identifiers

PMID38705643
PMCPMC11189662

What OpenQuestion holds

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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.