Evidence map›Paper›PMID 24670385›Full record

ArticlePloS one2014

Maternal genetic variation accounts in part for the associations of maternal size during pregnancy with offspring cardiometabolic risk in adulthood.

Pandora L Wander, Hagit Hochner, Colleen M Sitlani, Daniel A Enquobahrie, Thomas Lumley, Gabriela M Lawrence, Ayala Burger, Bella Savitsky, Orly Manor, Vardiella Meiner and 4 more

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Maternal Overnutrition in Pregnancy Predicts Greater Body Mass Index Gains in Offspring by Early Midlife: A Systematic Review and Meta-Analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Pooled it
  2. Article
  3. Nutrition in the First 1000 Days: The Origin of Childhood Obesity.International journal of environmental research and public health · 2016
    Review
  4. Cohort Profile: The Jerusalem Perinatal Family Follow-Up Study.International journal of epidemiology · 2016
    Article
  5. 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

14 authors.

Pandora L WanderDepartment of Epidemiology, University of Washington, Seattle, Washington, United States of America; Department of Medicine, University of Washington, Seattle, Washington, United States of America.
Hagit HochnerBraun School of Public Health, Hebrew University-Hadassah Medical Center, Jerusalem, Israel.
Colleen M SitlaniDepartment of Medicine, University of Washington, Seattle, Washington, United States of America; Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, United States of America.
Daniel A EnquobahrieDepartment of Epidemiology, University of Washington, Seattle, Washington, United States of America.
Thomas LumleyDepartment of Statistics, University of Auckland, Auckland, New Zealand.
Gabriela M LawrenceBraun School of Public Health, Hebrew University-Hadassah Medical Center, Jerusalem, Israel.
Ayala BurgerBraun School of Public Health, Hebrew University-Hadassah Medical Center, Jerusalem, Israel.
Bella SavitskyBraun School of Public Health, Hebrew University-Hadassah Medical Center, Jerusalem, Israel.
Orly ManorBraun School of Public Health, Hebrew University-Hadassah Medical Center, Jerusalem, Israel.
Vardiella MeinerDepartment of Human Genetics, Hebrew University-Hadassah Medical Center, Jerusalem, Israel.
Stephanie HesselsonInstitute of Human Genetics, University of California San Francisco, San Francisco, California, United States of America.
Pui Y KwokInstitute of Human Genetics, University of California San Francisco, San Francisco, California, United States of America; Cardiovascular Research Institute, University of California San Francisco, San Francisco, California, United States of America; Department of Dermatology, University of California San Francisco, San Francisco, California, United States of America.
David S SiscovickDepartment of Epidemiology, University of Washington, Seattle, Washington, United States of America; Department of Medicine, University of Washington, Seattle, Washington, United States of America; Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, United States of America.
Yechiel FriedlanderBraun School of Public Health, Hebrew University-Hadassah Medical Center, Jerusalem, Israel.

Funding

CVD Epidemiology Training ProgramT32HL007902 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 1998 to 2012
$3.6M
Maternal Obesity, Fetal Genomics, and Atherosclerotic Metabolic RiskR01HL088884 · NHLBI · UNIVERSITY OF WASHINGTON · PI SISCOVICK, DAVID STUART · 2006 to 2009
$1.7M
NHLBI NIH HHS R01 HL088884NHLBI NIH HHS R01-HL088884NHLBI NIH HHS T32 HL007902NHLBI NIH HHS T32-HL07902
6 · The paper itself

Abstract

backgroundMaternal pre-pregnancy body-mass index (ppBMI) and gestational weight gain (GWG) are associated with cardiometabolic risk (CMR) traits in the offspring. The extent to which maternal genetic variation accounts for these associations is unknown. METHODS/

resultsIn 1249 mother-offspring pairs recruited from the Jerusalem Perinatal Study, we used archival data to characterize ppBMI and GWG and follow-up data from offspring to assess CMR, including body mass index (BMI), waist circumference, glucose, insulin, blood pressure, and lipid levels, at an average age of 32. Maternal genetic risk scores (GRS) were created using a subset of SNPs most predictive of ppBMI, GWG, and each CMR trait, selected among 1384 single-nucleotide polymorphisms (SNPs) characterizing variation in 170 candidate genes potentially related to fetal development and/or metabolic risk. We fit linear regression models to examine the associations of ppBMI and GWG with CMR traits with and without adjustment for GRS. Compared to unadjusted models, the coefficient for the association of a one-standard-deviation (SD) difference in GWG and offspring BMI decreased by 41% (95%CI -81%, -11%) from 0.847 to 0.503 and the coefficient for a 1SD difference in GWG and WC decreased by 63% (95%CI -318%, -11%) from 1.196 to 0.443. For other traits, there were no statistically significant changes in the coefficients for GWG with adjustment for GRS. None of the associations of ppBMI with CMR traits were significantly altered by adjustment for GRS.

conclusionsMaternal genetic variation may account in part for associations of GWG with offspring BMI and WC in young adults.

Indexed as

Genetic VariationAdultBody Mass IndexBody SizeCardiovascular DiseasesFemaleHumansMaleMetabolic SyndromePhenotypePregnancyRisk FactorsWeight Gain

Identifiers

PMID24670385
PMCPMC3966761

What OpenQuestion holds

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LicenceCC BY
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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.