Evidence map›Paper›PMID 30134812›Full record

ArticleMolecular medicine (Cambridge, Mass.)2018

Enrichment of B cell receptor signaling and epidermal growth factor receptor pathways in monoclonal gammopathy of undetermined significance: a genome-wide genetic interaction study.

Subhayan Chattopadhyay, Hauke Thomsen, Miguel Inacio da Silva Filho, Niels Weinhold, Per Hoffmann, Markus M Nöthen, Arendt Marina, Karl-Heinz Jöckel, Börge Schmidt, Sonali Pechlivanis and 4 more

Open access · goldAbstract read
In one paragraph

Article in Molecular medicine (Cambridge, Mass.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

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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

14 authors at 5 institutions in 4 countries.

Subhayan ChattopadhyayDivision of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120, Heidelberg, Germany. s.chattopadhyay@dkfz-heidelberg.de.ORCID 0000-0002-8599-2971
Hauke ThomsenDivision of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120, Heidelberg, Germany.
Miguel Inacio da Silva FilhoDivision of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120, Heidelberg, Germany.
Niels WeinholdDepartment of Internal Medicine V, University of Heidelberg, Heidelberg, Germany.
Per HoffmannInstitute of Human Genetics, University of Bonn, Bonn, Germany.
Markus M NöthenInstitute of Human Genetics, University of Bonn, Bonn, Germany.
Arendt MarinaInstitute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Karl-Heinz JöckelInstitute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Börge SchmidtInstitute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Sonali PechlivanisInstitute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Christian LangerDepartment of Internal Medicine III, University of Ulm, Ulm, Germany.
Hartmut GoldschmidtDepartment of Internal Medicine V, University of Heidelberg, Heidelberg, Germany.
Kari HemminkiDivision of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120, Heidelberg, Germany.
Asta FörstiDivision of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120, Heidelberg, Germany.
German Cancer Research Center · DEUniversity of Duisburg-Essen · DEHeidelberg University · DEUniversity of Bonn · DEUniversität Ulm · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent identification of 10 germline variants predisposing to monoclonal gammopathy of undetermined significance (MGUS) explicates genetic dependency of this asymptomatic precursor condition with multiple myeloma (MM). Yet much of genetic burden as well as functional links remain unexplained. We propose a workflow to expand the search for susceptibility loci with genome-wide interaction and for subsequent identification of genetic clusters and pathways.

methodsPolygenic interaction analysis on 243 cases/1285 controls identified 14 paired risk loci belonging to unique chromosomal bands which were then replicated in two independent sets (case only study, 82 individuals; case/control study 236 cases/ 2484 controls). Further investigation on gene-set enrichment, regulatory pathway and genetic network was carried out with stand-alone in silico tools separately for both interaction and genome-wide association study-detected risk loci.

resultsIntronic-PREX1 (20q13.13), a reported locus predisposing to MM was confirmed to have contribution to excess MGUS risk in interaction with SETBP1, a well-established candidate predisposing to myeloid malignancies. Pathway enrichment showed B cell receptor signaling pathway (P < 5.3 × 10

conclusionsWe described novel pathways and variants potentially causal for MGUS. The methodology thus proposed to facilitate our search streamlines risk locus-based interaction, genetic network and pathway enrichment analyses.

Indexed as

AgedCase-Control StudiesErbB ReceptorsFemaleGene Regulatory NetworksGenome-Wide Association StudyHumansMaleMiddle AgedMonoclonal Gammopathy of Undetermined SignificanceReceptors, Antigen, B-CellErbB ReceptorsReceptors, Antigen, B-CellB-cell signalingEGFR signalingGenome-wide interactionMGUSMMNetworkPathway

Identifiers

PMID30134812
PMCPMC6016882
OpenAlexW2808221271

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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.