Evidence map›Paper›PMID 42321380›Full record

ArticleCommunications medicine2026

Birthweight phenotype genotype mismatch in cardiometabolic programming.

Lars Meinertz Byg, Carol A Wang, Roger Smith, John Attia, Trevor A Mori, Lawrence J Beilin, Craig E Pennell

Abstract read
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Article in Communications medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Lars Meinertz BygUniversity of Newcastle, School of Medicine afnd Public Health, Newcastle, NSW, Australia.ORCID http://orcid.org/0000-0001-5117-9811
Carol A WangUniversity of Newcastle, School of Medicine afnd Public Health, Newcastle, NSW, Australia.ORCID http://orcid.org/0000-0002-4301-3974
Roger SmithUniversity of Newcastle, School of Medicine afnd Public Health, Newcastle, NSW, Australia.ORCID http://orcid.org/0000-0003-4720-0280
John AttiaUniversity of Newcastle, School of Medicine afnd Public Health, Newcastle, NSW, Australia.ORCID http://orcid.org/0000-0001-9800-1308
Trevor A MoriMedical School, Royal Perth Hospital Unit, University of Western Australia, Perth, WA, Australia.ORCID http://orcid.org/0000-0002-5264-9229
Lawrence J BeilinMedical School, Royal Perth Hospital Unit, University of Western Australia, Perth, WA, Australia.
Craig E PennellUniversity of Newcastle, School of Medicine afnd Public Health, Newcastle, NSW, Australia. Craig.Pennell@newcastle.edu.au.ORCID http://orcid.org/0000-0002-0937-6165

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Barker hypothesis, that poor fetal growth can program adult cardiometabolic disease, has been contradicted by genetic investigations that demonstrate direct pleiotropic effects from birthweight genetics on cardiometabolic risk. We investigated if the cardiometabolic effects of birthweight genetics were dependent on the birthweight phenotype of the offspring.

methodsRepeated measures of adult body mass index, insulin resistance, low-density lipoprotein cholesterol and systolic blood pressure were modeled in a cohort of 1167 offspring followed from mid-pregnancy through to age 27. In linear mixed-effects models, we tested the associations of birthweight polygenic scores in the presence of a high vs low birthweight phenotype.

resultsHere we show that a birthweight phenotype-genotype mismatch associates with central adiposity and insulin resistance in young adults. In fetuses that fail to reach their growth potential (i.e. low phenotypic birthweight with high birthweight polygenic score) we find increased central adiposity and insulin resistance. In those that exceed their growth potential (high phenotypic birthweight with low birthweight polygenic score), data suggests increased insulin resistance. We find no evidence of phenotype-genotype mismatch influence on low-density lipoprotein cholesterol and systolic blood pressure.

conclusionThese data support the Barker hypothesis, and we suggest it is the deviation from fetal growth potential rather than crude BW that underpins the relationship with adult disease risk. Identification of individuals with a birthweight phenotype-genotype mismatch could allow early identification of children at future risk.

Identifiers

PMID42321380
PMCPMC13642249

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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.