Evidence map›Paper›PMID 40210729›Full record

ArticleDiabetologia2025

The genetics of low and high birthweight and their relationship with cardiometabolic disease.

Gunn-Helen Moen, Liang-Dar Hwang, Caroline Brito Nunes, Nicole M Warrington, David M Evans

Abstract read
In one paragraph

Article in Diabetologia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Gunn-Helen MoenInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia. g.moen@uq.edu.au.ORCID http://orcid.org/0000-0002-8768-0904
Liang-Dar HwangInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.ORCID http://orcid.org/0000-0002-5535-2199
Caroline Brito NunesInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.ORCID http://orcid.org/0000-0002-2654-1679
Nicole M WarringtonInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.ORCID http://orcid.org/0000-0003-4195-775X
David M EvansInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia. d.evans1@uq.edu.au.ORCID http://orcid.org/0000-0003-0663-4621

Funding

Australian Research Council DE220101226National Health and Medical Research Council APP2017942Norges Forskningsråd 325640
6 · The paper itself

Abstract

aims/hypothesisLow birthweight infants are at increased risk not only of mortality, but also of type 2 diabetes mellitus and CVD in later life. At the opposite end of the spectrum, high birthweight infants have increased risk of birth complications, such as shoulder dystocia, neonatal hypoglycaemia and obesity, and similarly increased risk of type 2 diabetes mellitus and CVD. However, previous genome-wide association studies (GWAS) of birthweight in the UK Biobank have primarily focused on individuals within the 'normal' range and have excluded individuals with high and low birthweight (<2.5 kg or >4.5 kg). The aim of this study was to investigate genetic variation associated within the tail ends of the birthweight distribution, to: (1) see whether the genetic factors operating in these regions were different from those that explained variation in birthweight within the normal range; (2) explore the genetic correlation between extremes of birthweight and cardiometabolic disease; and (3) investigate whether analysing the full distribution of birthweight values, including the extremes, improved the ability to detect genuine loci in GWAS.

methodsWe performed case-control GWAS analysis of low (<2.5 kg) and high (>4.5 kg) birthweight in the UK Biobank using REGENIE software (N

resultsBivariate LD score regression analyses suggested that high birthweight had a mostly similar genetic aetiology to birthweight within the normal range (genetic correlation coefficient [r CONCLUSIONS/

interpretationOur results underscore the importance of genetic factors in the genesis of the phenotypic correlation between birthweight and cardiometabolic traits and diseases.

Indexed as

Birth WeightCardiovascular DiseasesInfant, Low Birth WeightAdultCase-Control StudiesDiabetes Mellitus, Type 2FemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansInfant, NewbornMaleMiddle AgedPolymorphism, Single NucleotideUnited KingdomBirthweightDevelopmental origins of health and diseaseDiabetesDOHaDGenome-wide associationGWAS

Identifiers

PMID40210729
PMCPMC12176956

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.