Evidence map›Paper›PMID 35292679›Full record

ArticleScientific reports2022

A genetic risk score of alleles related to MGUS interacts with socioeconomic position in a population-based cohort.

Lisa Baak, Mirjam Frank, Jan Dürig, Ulrich Dührsen, Per Hoffmann, Markus M Nöthen, Nico Dragano, Raimund Erbel, Karl-Heinz Jöckel, Börge Schmidt

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Lisa BaakInstitute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Hufelandstr. 55, 45122, Essen, Germany.
Mirjam FrankInstitute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Hufelandstr. 55, 45122, Essen, Germany.
Jan DürigDepartment of Haematology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Ulrich DührsenDepartment of Haematology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Per HoffmannInstitute of Human Genetics, School of Medicine and University Hospital Bonn, University of Bonn, Bonn, Germany.
Markus M NöthenInstitute of Human Genetics, School of Medicine and University Hospital Bonn, University of Bonn, Bonn, Germany.
Nico DraganoInstitute of Medical Sociology, Medical Faculty, Centre for Health and Society, University of Düsseldorf, Düsseldorf, Germany.
Raimund ErbelInstitute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Hufelandstr. 55, 45122, Essen, Germany.
Karl-Heinz JöckelInstitute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Hufelandstr. 55, 45122, Essen, Germany.
Börge SchmidtInstitute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Hufelandstr. 55, 45122, Essen, Germany. boerge.schmidt@uk-essen.de.
University of Duisburg-Essen · DEUniversity of Bonn · DEHeinrich Heine University Düsseldorf · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental, genetic, and social factors are suggested to jointly influence monoclonal gammopathy of undetermined significance (MGUS), a precursor of multiple myeloma. Aim of this study was to investigate interactions between MGUS-related genetic variants and socioeconomic position (SEP) indicators education and income on MGUS in a population-based study. Two different MGUS-related genetic risk allele sum scores (GRS) were calculated based on recent genome-wide meta-analyses. Odds Ratios (OR) were estimated in 4329 participants including 238 MGUS cases to assess associations and multiplicative interaction. The relative excess risk due to interaction (RERI) was calculated to assess additive interaction. Both GRSs were associated with MGUS. A multiplicative interaction between one GRS and education was observed with genetic effects of OR 1.34 (95% CI 1.11-1.62) per risk allele in the highest and OR 1.06 (95% CI 0.86-1.31) in the lowest education group. A RERI of 0.10 (95% CI 0.05-0.14) also indicated additive interaction. Further, additive GRS by income interaction (RERI 0.07; 95% CI 0.01-0.13) for the same GRS was also indicated. Results indicate interaction between MGUS-related genetic risk and SEP. Non-genetic MGUS risk factors more common in higher education groups may influence the expression of MGUS-related genetic variants.

Indexed as

Monoclonal Gammopathy of Undetermined SignificanceMultiple MyelomaAllelesCohort StudiesHumansRisk FactorsSocioeconomic Factors

Identifiers

PMID35292679
PMCPMC8924237
OpenAlexW4220769380

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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.