Evidence map›Paper›PMID 41986816›Full record

ArticleDiabetologia2026

Nature vs nurture of glucose homeostasis trajectories in children from the ALSPAC study.

Isabel Gamache, Kaossarath Fagbemi, Soren Harnois-Leblanc, Celia M T Greenwood, Mélanie Henderson, Andrea Van Hulst, Nicholas J Timpson, Despoina Manousaki

Abstract read
In one paragraph

Article in Diabetologia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Isabel GamacheResearch Center, CHU Sainte-Justine, Montréal, Québec, Canada.
Kaossarath FagbemiResearch Center, CHU Sainte-Justine, Montréal, Québec, Canada.
Soren Harnois-LeblancDepartment of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, USA.
Celia M T GreenwoodLady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada.
Mélanie HendersonResearch Center, CHU Sainte-Justine, Montréal, Québec, Canada.
Andrea Van HulstIngram School of Nursing, Faculty of Medicine and Health Science, McGill University, Montréal, Québec, Canada.
Nicholas J TimpsonMedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Despoina ManousakiResearch Center, CHU Sainte-Justine, Montréal, Québec, Canada. despina.manousaki@umontreal.ca.

Funding

American Diabetes Association 7-23-PDFT2DY-3Institute of Nutrition, Metabolism and Diabetes 518655UK Medical Research Council and Wellcome 217065/Z/19/Z
6 · The paper itself

Abstract

aims/hypothesisDysglycaemia in youth results from complex interactions between genetic and environmental factors, yet their individual and combined contributions remain unclear. We aimed to: (1) evaluate the predictive performance of polygenic risk scores (PRSs) for glycaemic traits from childhood to early adulthood; (2) identify gene-environment interactions shaping glucose homeostasis trajectories; and (3) explore underlying mechanisms using pathway-specific PRSs.

methodsData from 8783 participants (aged 7-24 years) from the Avon Longitudinal Study of Parents and Children (ALSPAC) were used to compute 12 PRSs for type 2 diabetes, fasting glucose, insulin and BMI. Glycaemic outcomes, including insulin resistance, prediabetes (impaired fasting glucose) and type 2 diabetes, were assessed using fasting glucose and insulin (ages 7, 15, 18 and 24 years) and HbA

resultsPrediabetes prevalence was up to 24% at age 24 years. PRS-enhanced models outperformed those using environmental factors alone (e.g. AUC for dysglycaemia at age 15 improved by 0.12, reaching 0.78). Fasting glucose PRS showed moderate ability to differentiate transient from persistent prediabetes (AUC=0.70). Gene-environment analyses revealed that high genetic risk combined with increased screen time or younger maternal age increased insulin resistance risk. Physical activity and health awareness attenuated this risk. Pathway analyses indicated insulin secretion as a key mechanism earlier in life, with insulin resistance emerging later. CONCLUSIONS/

interpretationGenes interact with environment to define glucose homeostasis in youth, highlighting modifiable factors as actionable targets for early prevention.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2AdolescentChildFemaleGene-Environment InteractionGenetic Risk ScoreHomeostasisHumansInsulinInsulin ResistanceLongitudinal StudiesMalePrediabetic StateYoung AdultBlood GlucoseInsulinALSPACGene–environment interactionGenetic analysisPaediatric diabetesPolygenic risk scoresPreventive geneticsType 2 diabetes

Identifiers

PMID41986816
PMCPMC13236800

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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.