Evidence map›Paper›PMID 33106479›Full record

ArticleNature communications2020

Mendelian randomization study of maternal influences on birthweight and future cardiometabolic risk in the HUNT cohort.

Gunn-Helen Moen, Ben Brumpton, Cristen Willer, Bjørn Olav Åsvold, Kåre I Birkeland, Geng Wang, Michael C Neale, Rachel M Freathy, George Davey Smith, Deborah A Lawlor and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 6 pooled it
16.0field-weighted citation impact, top 1% 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

42 citing papers in PubMed, 6 syntheses or guidelines pooled it, 89 citations in OpenAlex.

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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

13 authors at 7 institutions in 4 countries.

Gunn-Helen MoenInstitute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway. g.h.moen@medisin.uio.no.ORCID 0000-0002-8768-0904
Ben BrumptonK.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0002-3058-1059
Cristen WillerDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, USA.ORCID 0000-0001-5645-4966
Bjørn Olav ÅsvoldK.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0003-3837-2101
Kåre I BirkelandInstitute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
Geng WangThe University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, 4102, Australia.ORCID 0000-0003-2478-2919
Michael C NealeDepartment of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA.
Rachel M FreathyInstitute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, UK.ORCID 0000-0003-4152-2238
George Davey SmithPopulation Health Science, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0002-1407-8314
Deborah A LawlorPopulation Health Science, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0002-6793-2262
Robert M KirkpatrickDepartment of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA.
Nicole M WarringtonThe University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, 4102, Australia.ORCID 0000-0003-4195-775X
David M EvansThe University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, 4102, Australia. d.evans1@uq.edu.au.ORCID 0000-0003-0663-4621
The University of Queensland · AUNorwegian University of Science and Technology · NOUniversity of Bristol · GBVirginia Commonwealth University · USUniversity of Exeter · GBUniversity of Michigan · USUniversity of Oslo · NO

Funding

Psychometric and Genetic Assessments of Substance UseR37DA018673 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2005 to 2014
$3.7M
Psychometric and Genetic Assessments of Substance UseR01DA018673 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2004 to 2019
$2.3M
Metabolomic and Epigenomic Mechanisms in Developmental Overnutrition.R01DK103246 · NIDDK · UNIVERSITY OF BRISTOL · PI LAWLOR, DEBORAH ANNE · 2014 to 2018
$2.2M
British Heart Foundation AA/18/7/34219Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_00011/6Medical Research Council MC_UU_12013/4NIDA NIH HHS R01 DA018673NIDA NIH HHS R37 DA018673NIDDK NIH HHS R01 DK103246Wellcome TrustWellcome Trust 104150/Z/14/Z
6 · The paper itself

Abstract

There is a robust observational relationship between lower birthweight and higher risk of cardiometabolic disease in later life. The Developmental Origins of Health and Disease (DOHaD) hypothesis posits that adverse environmental factors in utero increase future risk of cardiometabolic disease. Here, we explore if a genetic risk score (GRS) of maternal SNPs associated with offspring birthweight is also associated with offspring cardiometabolic risk factors, after controlling for offspring GRS, in up to 26,057 mother-offspring pairs (and 19,792 father-offspring pairs) from the Nord-Trøndelag Health (HUNT) Study. We find little evidence for a maternal (or paternal) genetic effect of birthweight associated variants on offspring cardiometabolic risk factors after adjusting for offspring GRS. In contrast, offspring GRS is strongly related to many cardiometabolic risk factors, even after conditioning on maternal GRS. Our results suggest that the maternal intrauterine environment, as proxied by maternal SNPs that influence offspring birthweight, is unlikely to be a major determinant of adverse cardiometabolic outcomes in population based samples of individuals.

Indexed as

Birth WeightMaternal InheritanceAdultCardiovascular DiseasesCohort StudiesFemaleHumansInfant, NewbornMaleMendelian Randomization AnalysisNorwayPaternal InheritancePolymorphism, Single NucleotideRisk FactorsYoung Adult

Identifiers

PMID33106479
PMCPMC7588432
OpenAlexW3094110148

What OpenQuestion holds

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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.