Evidence map›Paper›PMID 31383602›Full record

ArticleJournal of clinical lipidology

Race-ethnic differences in the associations of maternal lipid trait genetic risk scores with longitudinal fetal growth.

Marion Ouidir, Pauline Mendola, Tsegaselassie Workalemahu, Jagteshwar Grewal, Katherine L Grantz, Cuilin Zhang, Jing Wu, Fasil Tekola-Ayele

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical lipidology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
  6. 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

8 authors at 2 institutions in 1 country.

Marion OuidirEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.
Pauline MendolaEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.
Tsegaselassie WorkalemahuEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.
Jagteshwar GrewalDivision of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.
Katherine L GrantzEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.
Cuilin ZhangEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.
Jing WuDivision of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.
Fasil Tekola-AyeleEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA. Electronic address: ayeleft@mail.nih.gov.
National Institutes of Health · USEunice Kennedy Shriver National Institute of Child Health and Human Development · US

Funding

Genetic epidemiology of early growth and cardiometabolic diseasesZIAHD008967 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI TEKOLA-AYELE, FASIL · 2018 to 2025
$4.4M
Intramural NIH HHS Z99 HD999999Intramural NIH HHS ZIA HD008967NICHD NIH HHS HHSN275200800002CNICHD NIH HHS HHSN275200800002INICHD NIH HHS HHSN275200800003CNICHD NIH HHS HHSN275200800003INICHD NIH HHS HHSN275200800012CNICHD NIH HHS HHSN275200800013CNICHD NIH HHS HHSN275200800014CNICHD NIH HHS HHSN275200800028CNICHD NIH HHS HHSN275201000009C
6 · The paper itself

Abstract

backgroundFetal growth, an important predictor of cardiometabolic diseases in adults, is influenced by maternal and fetal genetic and environmental factors.

objectiveWe investigated the association between maternal lipid genetic risk score (GRS) and fetal growth among 4 US racial-ethnic populations (Whites, Blacks, Hispanics, and Asians).

methodsWe extracted genotype data for 2008 pregnant women recruited in the National Institute of Child Health and Human Development Fetal Growth Studies-Singleton cohort with up to 6 standardized ultrasound examinations. GRS was calculated using 240 single-nucleotide polymorphisms previously associated with higher total cholesterol (GRS

resultsAt 40 weeks' gestation, a unit increase in GRS

conclusionAssociations between fetal weight and maternal lipid GRS appear to vary by maternal race-ethnic group, obesity status, and offspring sex. Genetic susceptibility to unfavorable lipid profiles contributes to fetal growth differences even among normal-weight women suggesting a potential future application in predicting aberrant fetal growth.

Indexed as

Genetic Predisposition to DiseaseBirth WeightEthnicityFemaleFetal DevelopmentFetal WeightGestational AgeHumansLipidsMalePregnancyRacial GroupsRisk FactorsLipidsBirth weightFetal growthGenetic risk scoreMaternal lipid traits

Identifiers

PMID31383602
PMCPMC6885118
OpenAlexW2953517644

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.