Evidence map›Paper›PMID 25137420›Full record

ArticleThe Journal of clinical endocrinology and metabolism2014

Genetic risk score for prediction of newborn adiposity and large-for-gestational-age birth.

Reeti Chawla, Sylvia E Badon, Janani Rangarajan, Anna C Reisetter, Loren L Armstrong, Lynn P Lowe, Margrit Urbanek, Boyd E Metzger, M Geoffrey Hayes, Denise M Scholtens and 1 more

Abstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2014. 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
–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

14 citing papers in PubMed.

  1. Role ofInternational journal of molecular sciences · 2026
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  14. Excessive gestational weight gain in the first trimester among women with normal glucose tolerance and resulting neonatal adiposity.Journal of perinatology : official journal of the California Perinatal Association · 2016
    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

11 authors.

Reeti ChawlaDivision of Pediatric Endocrinology, Ann & Robert H. Lurie Children's Hospital of Chicago (R.C.), Department of Preventive Medicine (S.E.B., J.R., A.C.R., L.P.L., D.M.S.), Division of Endocrinology, Metabolism & Molecular Medicine (L.L.A., M.U., B.E.M., M.G.H., W.L.L.), Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611; and PhD (cand) (S.B.), University of Washington, Seattle, Washington 355852.
Sylvia E Badon
Janani Rangarajan
Anna C Reisetter
Loren L Armstrong
Lynn P Lowe
Margrit Urbanek
Boyd E Metzger
M Geoffrey Hayes
Denise M Scholtens
William L Lowe

Funding

Hyperglycemia and Adverse Pregnancy Outcome (HAPO)R01HD034243 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI METZGER, BOYD E · 1999 to 2010
$16.2M
HAPO: DATA COORDINATING CENTERR01HD034242 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI DYER, ALAN R · 1999 to 2007
$3.0M
Genetics and Evolution of Fetal Human Fat Accretion During DevelopmentR01DK099820 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LOWE, WILLIAM L · 2013 to 2017
$2.0M
GWA Mapping: Maternal Metabolism-Birth Weight InteractionsU01HG004415 · NHGRI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LOWE, WILLIAM L · 2007 to 2009
$1.1M
NHGRI NIH HHS HG004415NHGRI NIH HHS U01 HG004415NICHD NIH HHS HD34242NICHD NIH HHS HD34243NICHD NIH HHS R01 HD034242NICHD NIH HHS R01 HD034243NIDDK NIH HHS DK099820NIDDK NIH HHS R01 DK099820
6 · The paper itself

Abstract

contextMacrosomic infants are at increased risk for adverse metabolic outcomes. Improving prediction of large-for-gestational-age (LGA) birth may help prevent these outcomes.

objectiveThis study sought to determine whether genes associated with obesity-related traits in adults are associated with newborn size, and whether a genetic risk score (GRS) predicts LGA birth. SETTING AND

designSingle nucleotide polymorphisms (SNPs) in 40 regions associated with adult obesity-related traits were tested for association with newborn size. GRS's for birth weight and sum of skinfolds (SSF) specific to ancestry were calculated using the most highly associated SNP for each ancestry in genomic regions with one or more SNPs associated with birth weight and/or SSF in at least one ancestry group or meta-analyses.

participantsNewborns from the Hyperglycemia Adverse Pregnancy Outcomes Study were studied (942 Afro-Caribbean, 1294 Northern European, 573 Mexican-American, and 1182 Thai). OUTCOME MEASURES: Birth weight >90th percentile (LGA) and newborn SSF >90th percentile were primary outcomes.

resultsAfter adjustment for ancestry, sex, gestational age at delivery, parity, maternal genotype, maternal smoking/alcohol intake, age, body mass index, height, blood pressure and glucose, 25 and 23 SNPs were associated (P < .001) with birth weight and newborn SSF, respectively. The GRS was highly associated with both phenotypes as continuous variables across all ancestries (P ≤ 1.6 × 10(-19)) and improved prediction of birth weight and SSF >90th percentile when added to a baseline model incorporating the covariates listed above.

conclusionsA GRS comprised of SNPs associated with adult obesity-related traits may provide an approach for predicting LGA birth and newborn adiposity beyond established risk factors.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAdiposityAdultAllelesBirth WeightFemaleFetal MacrosomiaGenetic Association StudiesGestational AgeHumansInfant, NewbornMaleObesityPregnancy

Identifiers

PMID25137420
PMCPMC4223445

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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 OpenQuestion graph.