Evidence map›Paper›PMID 34897462›Full record

ArticleHuman molecular genetics2022

Fetal alleles predisposing to metabolically favorable adiposity are associated with higher birth weight.

William D Thompson, Robin N Beaumont, Alan Kuang, Nicole M Warrington, Yingjie Ji, Jessica Tyrrell, Andrew R Wood, Denise M Scholtens, Bridget A Knight, David M Evans and 10 more

Open access · hybridAbstract read
In one paragraph

Article in Human molecular genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 7 citations in OpenAlex.

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  7. Association of theInternational journal of molecular sciences · 2022
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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

20 authors at 7 institutions in 6 countries.

William D ThompsonInstitute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Exeter EX2 5DW, UK.ORCID 0000-0003-0106-8309
Robin N BeaumontInstitute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Exeter EX2 5DW, UK.ORCID 0000-0003-0750-8248
Alan KuangDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA.
Nicole M WarringtonMRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK.
Yingjie JiInstitute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Exeter EX2 5DW, UK.
Jessica TyrrellInstitute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Exeter EX2 5DW, UK.ORCID 0000-0002-9256-6065
Andrew R WoodInstitute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Exeter EX2 5DW, UK.
Denise M ScholtensDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA.
Bridget A KnightNIHR Exeter Clinical Research Facility, Royal Devon and Exeter NHS Foundation Trust, Exeter EX2 5DW, UK.
David M EvansMRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK.
William L LoweDepartment of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA.
Gillian SantorelliBradford Institute for Health Research, Bradford Royal Infirmary, Duckworth Lane, Bradford BD9 6RJ, UK.
Raq AzadDepartment of Biochemistry, Bradford Royal Infirmary, Bradford BD9 6DA, UK.
Dan MasonBradford Institute for Health Research, Bradford Royal Infirmary, Duckworth Lane, Bradford BD9 6RJ, UK.
Andrew T HattersleyInstitute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Exeter EX2 5DW, UK.
Timothy M FraylingInstitute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Exeter EX2 5DW, UK.
Hanieh YaghootkarInstitute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Exeter EX2 5DW, UK.
Maria Carolina BorgesMRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK.
Deborah A LawlorMRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK.
Rachel M FreathyInstitute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, Exeter EX2 5DW, UK.ORCID 0000-0003-4152-2238
University of Exeter · GBNorthwestern University · USBradford Royal Infirmary · GBThe University of Queensland · AUUniversity of Bristol · GBRoyal Devon & Exeter NHS Foundation Trust · GBUniversity of Bradford · GB

Funding

British Heart Foundation CH/F/20/90003British Heart Foundation CS/16/4/32482European Research Council 669545Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009Medical Research Council MC_PC_21038Medical Research Council MC_UU_00011/6Medical Research Council MR/N024397/1
6 · The paper itself

Abstract

backgroundHigher birthweight is associated with higher adult body mass index (BMI). Alleles that predispose to greater adult adiposity might act in fetal life to increase fetal growth and birthweight. Whether there are fetal effects of recently identified adult metabolically favorable adiposity alleles on birthweight is unknown.

aimWe aimed to test the effect on birthweight of fetal genetic predisposition to higher metabolically favorable adult adiposity and compare that with the effect of fetal genetic predisposition to higher adult BMI.

methodsWe used published genome wide association study data (n = upto 406 063) to estimate fetal effects on birthweight (adjusting for maternal genotype) of alleles known to raise metabolically favorable adult adiposity or BMI. We combined summary data across single nucleotide polymorphisms (SNPs) with random effects meta-analyses. We performed weighted linear regression of SNP-birthweight effects against SNP-adult adiposity effects to test for a dose-dependent association.

resultsFetal genetic predisposition to higher metabolically favorable adult adiposity and higher adult BMI were both associated with higher birthweight (3 g per effect allele (95% CI: 1-5) averaged over 14 SNPs; P = 0.002; 0.5 g per effect allele (95% CI: 0-1) averaged over 76 SNPs; P = 0.042, respectively). SNPs with greater effects on metabolically favorable adiposity tended to have greater effects on birthweight (R2 = 0.2912, P = 0.027). There was no dose-dependent association for BMI (R2 = -0.0019, P = 0.602).

conclusionsFetal genetic predisposition to both higher adult metabolically favorable adiposity and BMI is associated with birthweight. Fetal effects of metabolically favorable adiposity-raising alleles on birthweight are modestly proportional to their effects on future adiposity, but those of BMI-raising alleles are not.

Indexed as

AdiposityGenome-Wide Association StudyAdultAllelesBirth WeightBody Mass IndexGenetic Predisposition to DiseaseHumansObesityPolymorphism, Single Nucleotide

Identifiers

PMID34897462
PMCPMC9169452
OpenAlexW4205923529

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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.