Evidence map›Paper›PMID 37280435›Full record

ArticleDiabetologia2023

Genetic evidence that high BMI in childhood has a protective effect on intermediate diabetes traits, including measures of insulin sensitivity and secretion, after accounting for BMI in adulthood.

Gareth Hawkes, Robin N Beaumont, Jessica Tyrrell, Grace M Power, Andrew Wood, Markku Laakso, Lilian Fernandes Silva, Michael Boehnke, Xianyong Yin, Tom G Richardson and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Diabetologia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

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  3. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 3 countries.

Gareth HawkesGenetics of Complex Traits, College of Medicine and Health, University of Exeter, Exeter, Devon, UK.
Robin N BeaumontGenetics of Complex Traits, College of Medicine and Health, University of Exeter, Exeter, Devon, UK.
Jessica TyrrellGenetics of Complex Traits, College of Medicine and Health, University of Exeter, Exeter, Devon, UK.
Grace M PowerMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Andrew WoodGenetics of Complex Traits, College of Medicine and Health, University of Exeter, Exeter, Devon, UK.
Markku LaaksoSchool of Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.
Lilian Fernandes SilvaSchool of Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.
Michael BoehnkeDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Xianyong YinDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Tom G RichardsonMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
George Davey SmithMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Timothy M FraylingGenetics of Complex Traits, College of Medicine and Health, University of Exeter, Exeter, Devon, UK. t.m.frayling@exeter.ac.uk.
University of Exeter · GBUniversity of Bristol · GBUniversity of Eastern Finland · FIUniversity of Michigan · US

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
Identifying Genes for Type 2 Diabetes:FUSIONR01DK062370 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L, SCOTT, LAURA J. · 2003 to 2025
$6.7M
Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_00032/1Medical Research Council MR/M008924/1Medical Research Council MR/T002239/1NIDDK NIH HHS P30 DK020572NIDDK NIH HHS R01 DK062370
6 · The paper itself

Abstract

aims/hypothesisDetermining how high BMI at different time points influences the risk of developing type 2 diabetes and affects insulin secretion and insulin sensitivity is critical.

methodsBy estimating childhood BMI in 441,761 individuals in the UK Biobank, we identified which genetic variants had larger effects on adulthood BMI than on childhood BMI, and vice versa. All genome-wide significant genetic variants were then used to separate the independent genetic effects of high childhood BMI from those of high adulthood BMI on the risk of type 2 diabetes and insulin-related phenotypes using Mendelian randomisation. We performed two-sample MR using external studies of type 2 diabetes, and oral and intravenous measures of insulin secretion and sensitivity.

resultsWe found that a childhood BMI that was one standard deviation (1.97 kg/m CONCLUSIONS/

interpretationOur results provide evidence of the protective effect of higher childhood BMI on insulin secretion and sensitivity, which are crucial intermediate diabetes traits. However, we stress that our results should not currently lead to any change in public health or clinical practice, given the uncertainty regarding the biological pathway of these effects and the limitations of this type of study.

Indexed as

Diabetes Mellitus, Type 2Insulin ResistanceBody Mass IndexGenome-Wide Association StudyHumansInsulinMendelian Randomization AnalysisPhenotypePolymorphism, Single NucleotideInsulinAdulthoodBMIChildhoodDiabetesGeneticsMendelian randomisation

Identifiers

PMID37280435
PMCPMC10317883
OpenAlexW4379511393

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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.