Evidence map›Paper›PMID 35834443›Full record

ArticlePLoS genetics2022

Polygenic and socioeconomic risk for high body mass index: 69 years of follow-up across life.

David Bann, Liam Wright, Rebecca Hardy, Dylan M Williams, Neil M Davies

Abstract read
In one paragraph

Article in PLoS genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
–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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  7. Observational
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  14. Common infections and neuroimaging markers of dementia in three UK cohort studies.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
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  16. Decoding Genetics, Ancestry, and Geospatial Context for Precision Health.medRxiv : the preprint server for health sciences · 2023
    Article
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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

5 authors.

David BannCentre for Longitudinal Studies, Social Research Institute, UCL, London, United Kingdom.ORCID 0000-0002-6454-626X
Liam WrightCentre for Longitudinal Studies, Social Research Institute, UCL, London, United Kingdom.ORCID 0000-0002-6347-5121
Rebecca HardySchool of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom.ORCID 0000-0001-9949-0799
Dylan M WilliamsMRC Unit for Lifelong Health and Ageing at UCL, London, United Kingdom.ORCID 0000-0002-3825-2487
Neil M DaviesMRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-2460-0508

Funding

Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_00019/1Medical Research Council MC_UU_00019/2Medical Research Council MR/V002147/1
6 · The paper itself

Abstract

Genetic influences on body mass index (BMI) appear to markedly differ across life, yet existing research is equivocal and limited by a paucity of life course data. We thus used a birth cohort study to investigate differences in association and explained variance in polygenic risk for high BMI across infancy to old age (2-69 years). A secondary aim was to investigate how the association between BMI and a key purported environmental determinant (childhood socioeconomic position) differed across life, and whether this operated independently and/or multiplicatively of genetic influences. Data were from up to 2677 participants in the MRC National Survey of Health and Development, with measured BMI at 12 timepoints from 2-69 years. We used multiple polygenic indices from GWAS of adult and childhood BMI, and investigated their associations with BMI at each age. For polygenic liability to higher adult BMI, the trajectories of effect size (β) and explained variance (R2) diverged: explained variance peaked in early adulthood and plateaued thereafter, while absolute effect sizes increased throughout adulthood. For polygenic liability to higher childhood BMI, explained variance was largest in adolescence and early adulthood; effect sizes were marginally smaller in absolute terms from adolescence to adulthood. All polygenic indices were related to higher variation in BMI; quantile regression analyses showed that effect sizes were sizably larger at the upper end of the BMI distribution. Socioeconomic and polygenic risk for higher BMI across life appear to operate additively; we found little evidence of interaction. Our findings highlight the likely independent influences of polygenic and socioeconomic factors on BMI across life. Despite sizable associations, the BMI variance explained by each plateaued or declined across adulthood while BMI variance itself increased. This is suggestive of the increasing importance of chance ('non-shared') environmental influences on BMI across life.

Indexed as

Multifactorial InheritanceAdolescentAdultAgedBody Mass IndexChildChild, PreschoolCohort StudiesFollow-Up StudiesHumansMiddle AgedRisk FactorsSocioeconomic FactorsYoung Adult

Identifiers

PMID35834443
PMCPMC9282556

What OpenQuestion holds

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LicenceCC BY
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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.