Evidence map›Paper›PMID 41282849›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Fetal Polygenic Growth Score and Risk for Large for Gestational Age Birth Weight in Nulliparas: Secondary Analysis of a Prospective Cohort Study.

Maha Aamir, Maisa Feghali, Lynn Yee, Robert M Silver, Celeste Durnwald, Jon G Steller, David Haas, Rafael F Guerrero, Christina M Scifres

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Maha AamirBioinformatics Research Center, North Carolina State University, Raleigh, NC.ORCID 0009-0000-3126-2909
Maisa FeghaliDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA.ORCID 0000-0001-6897-0845
Lynn YeeDepartment of Obstetrics and Gynecology, Northwestern University Feinberg School of Medicine, Chicago.ORCID 0000-0002-6274-0544
Robert M SilverDepartment of Obstetrics and Gynecology, University of Utah, Salt Lake City, UT.ORCID 0000-0002-5794-3152
Celeste DurnwaldDepartment of Obstetrics and Gynecology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.ORCID 0000-0003-1751-2312
Jon G StellerDepartment of Obstetrics & Gynecology, University of California, Irvine School of Medicine, Orange, CA.ORCID 0000-0002-2164-1080
David HaasDepartment of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, IN.ORCID 0000-0002-8379-0743
Rafael F GuerreroBioinformatics Research Center, North Carolina State University, Raleigh, NC.ORCID 0000-0002-8451-3609
Christina M ScifresDepartment of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, IN.ORCID 0000-0003-2992-7187

Funding

Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
Preterm Birth in Nulliparous Women: An Understudied Population at Great RiskU10HD063036 · NICHD · RESEARCH TRIANGLE INSTITUTE · PI PARKER, CORETTE BREEDEN · 2010 to 2015
$19.5M
Institute for Clinical and Translational ScienceUL1TR000153 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M · 2012 to 2015
$12.1M
Prevention of Preterm Birth in high Risk Nulliparous PatientsU10HD063047 · NICHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WAPNER, RONALD · 2010 to 2014
$1.9M
Preterm Birth in Nulliparous Women: An Understudied Population at Great RiskU10HD063053 · NICHD · UNIVERSITY OF UTAH · PI SILVER, ROBERT M. · 2010 to 2014
$1.7M
Preterm Birth in Nulliparous Women: An Understudied Population at Great Risk U10HD063020 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GROBMAN, WILLIAM ADAM · 2010 to 2014
$1.6M
Preterm Birth in Nulliparous Women: An Understudied Population at Great RiskU10HD063046 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI WING, DEBORAH A · 2010 to 2014
$1.6M
Preterm Birth in Nulliparous Women: An Understudied Population at Great RiskU10HD063041 · NICHD · MAGEE-WOMEN'S RES INST AND FOUNDATION · PI SIMHAN, HYAGRIV N · 2010 to 2014
$1.5M
Preterm Birth in Nulliparous Women: An Understudied Population at Great RiskU10HD063048 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI PARRY, SAMUEL I. · 2010 to 2014
$1.5M
Dissecting the Genetic Etiology of Preterm Birth in Nulliparous WomenU10HD063037 · NICHD · INDIANA UNIVERSITY INDIANAPOLIS · PI HAAS, DAVID M. · 2010 to 2014
$1.2M
Adverse Outcomes in Nulliparous Pregnancies: The Ohio CollaborativeU10HD063072 · NICHD · CASE WESTERN RESERVE UNIVERSITY · PI MERCER, BRIAN M. · 2010 to 2014
$1.2M
NCATS NIH HHS UL1 TR000153NCATS NIH HHS UL1 TR001108NICHD NIH HHS U10 HD063020NICHD NIH HHS U10 HD063036NICHD NIH HHS U10 HD063037NICHD NIH HHS U10 HD063041NICHD NIH HHS U10 HD063046NICHD NIH HHS U10 HD063047NICHD NIH HHS U10 HD063048NICHD NIH HHS U10 HD063053NICHD NIH HHS U10 HD063072
6 · The paper itself

Abstract

Background: Large for gestational age birth weight is associated with both short- and long-term health consequences for offspring, and fetal genetics may contribute to risk for large for gestational age birth weight. Objectives: We evaluated the relationship between a polygenic growth score and the risk for large gestational age birth weight. We also delineated the between the polygenic growth score and risk for large for gestational age birth weight in relation to maternal glycemia and body mass index, both of which are established risk factors for large for gestational age birth weight. Study design: This is a secondary analysis of a prospective multicenter cohort study in which nulliparous individuals were recruited from eight clinical sites in the United States. A subset of infants (n=3865) with DNA available were genotyped, and a previously developed polygenic growth score for large for gestational age birth weight was calculated. We evaluated the relationship between tertiles of the polygenic growth score, maternal body mass index, and glycemia assessed by the 50-gram glucose challenge test on the risk for large for gestational age birth weight using one-way ANOVA and Chi-squared tests as well as a regularized linear model. Results: Of the 3,865 individuals with infant genotype available, 3,286 (84.9%) were included in this analysis. A polygenic growth score in the first tertile was associated with a lower risk for large for gestational age (OR 0.71, 95% CI 0.53- 0.94), while a polygenic growth score in the third tertile was associated with a higher risk for large for gestational age birth weight (OR 1.29, 95% CI 1.02- 1.63). Maternal body mass index was more strongly associated with the risk for large for gestational birth weight than maternal glycemia. The odds of large for gestational age birth weight were significantly higher with a maternal body mass index ≥35 kg/m Conclusions: The polygenic growth score has a modest ability to identify fetuses at higher or lower risk for Large for gestational age birth weight in a multiracial cohort from the United States. Polygenic growth score could assist with identification of those fetuses at increased risk for LGA birth weight among individuals with a BMI ≥35 kg/m

Indexed as

gestational diabetesLarge for gestational age birth weightobesitypolygenic growth scorepregnancy

Identifiers

PMID41282849
PMCPMC12637736

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.