Evidence map›Paper›PMID 31442235›Full record

ArticlePloS one2019

A genetic sum score of risk alleles associated with body mass index interacts with socioeconomic position in the Heinz Nixdorf Recall Study.

Mirjam Frank, Nico Dragano, Marina Arendt, Andreas J Forstner, Markus M Nöthen, Susanne Moebus, Raimund Erbel, Karl-Heinz Jöckel, Börge Schmidt

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
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  4. Risk factors affecting polygenic score performance across diverse cohorts.medRxiv : the preprint server for health sciences · 2024
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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

9 authors at 3 institutions in 2 countries.

Mirjam FrankInstitute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Essen, Germany.ORCID 0000-0002-8178-020X
Nico DraganoInstitute of Medical Sociology, Centre for Health and Society, University Hospital Düsseldorf, Düsseldorf, Germany.
Marina ArendtInstitute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Essen, Germany.
Andreas J ForstnerInstitute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany.
Markus M NöthenInstitute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany.
Susanne MoebusInstitute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Essen, Germany.
Raimund ErbelInstitute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Essen, Germany.
Karl-Heinz JöckelInstitute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Essen, Germany.
Börge SchmidtInstitute for Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Essen, Germany.
University of Duisburg-Essen · DEUniversity of Bonn · DEDüsseldorf University Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Body mass index (BMI) is influenced by genetic, behavioral and environmental factors, while interactions between genetic and socioeconomic factors have been suggested. Aim of the study was to investigate whether socioeconomic position (SEP) interacts with a BMI-related genetic sum score (GRSBMI) to affect BMI in a population-based cohort. SEP-related health behaviors and a GRS associated with educational attainment (GRSEdu) were included in the analysis to explore potential interactions underlying the GRSBMIxSEP effect. Baseline information on SEP indicators (education, income), BMI, smoking, physical activity, alcohol consumption and genetic risk factors were available for 4,493 participants of the Heinz Nixdorf Recall Study. Interaction analysis was based on linear regression as well as on stratified analyses. In SEP-stratified analyses, the highest genetic effects were observed in the lowest educational group with a 0.24 kg/m2 higher BMI (95%CI: 0.16; 0.31) and in the lowest income quartile with a 0.14 kg/m2 higher BMI (95%CI: 0.09; 0.18) per additional risk allele. Indication for a GRSBMIxSEP interaction was observed for education (ßGRSbmixeducation = -0.02 [95%CI:-0.03; -0.01]) and income (ßGRSbmixincome = -0.05 [95%CI: -0.08; -0.02]). When adjusting for interactions with the GRSEdu and SEP-related health behaviors, effect size estimates of the GRSBMIxSEP interaction remained virtually unchanged. Results gave indication for an interaction of BMI-related genetic risk factors with SEP indicators, showing substantially stronger genetic effects in low SEP groups. This supports the hypothesis that expression of genetic risks is higher in socioeconomically disadvantaged environments. No indication was observed that the GRSBMIxSEP interaction was affected by other SEP-related factors included in the analysis.

Indexed as

Body Mass IndexSocioeconomic FactorsAdultAlcohol DrinkingAllelesFemaleHealth BehaviorHumansMaleMiddle AgedObesityRisk FactorsSmoking

Identifiers

PMID31442235
PMCPMC6707579
OpenAlexW2969701900

What OpenQuestion 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 OpenQuestion graph.