Evidence map›Paper›PMID 28404951›Full record

ArticleOncotarget2017

Search for rare protein altering variants influencing susceptibility to multiple myeloma.

Matthew Scales, Daniel Chubb, Sara E Dobbins, David C Johnson, Ni Li, Michael J Sternberg, Neils Weinhold, Caleb Stein, Graham Jackson, Faith E Davies and 4 more

Abstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Multiple myeloma risk linked to DNA damage response genes.Journal of hematology & oncology · 2026
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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.

Matthew ScalesDivision of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey, UK.
Daniel ChubbDivision of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey, UK.
Sara E DobbinsDivision of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey, UK.
David C JohnsonDivision of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey, UK.
Ni LiDivision of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey, UK.
Michael J SternbergCentre of Bioinformatics and Systems Biology, Department of Life Sciences, Imperial College London, London, UK.
Neils WeinholdThe Myeloma Institute, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Caleb SteinThe Myeloma Institute, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Graham JacksonDepartment of Haematology, Newcastle University, Newcastle, UK.
Faith E DaviesThe Myeloma Institute, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Brian A WalkerThe Myeloma Institute, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Christopher P WardellThe Myeloma Institute, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Richard S HoulstonDivision of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey, UK.
Gareth J MorganThe Myeloma Institute, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.

Funding

Medical Research Council G1001799Medical Research Council MR/N01104X/1Medical Research Council MR/N01104X/2Wellcome Trust
6 · The paper itself

Abstract

The genetic basis underlying the inherited risk of developing multiple myeloma (MM) is largely unknown. To examine the impact of rare protein altering variants on the risk of developing MM we analyzed high-coverage exome sequencing data on 513 MM cases and 1,569 healthy controls, performing both single variant and gene burden tests. We did not identify any recurrent coding low-frequency alleles (1-5%) with moderate effect that were statistically associated with MM. In a gene burden analysis we did however identify a promising relationship between variation in the marrow kinetochore microtubule stromal gene KIF18A, which plays a role in control mitotic chromosome positioning dynamics, and risk of MM (P =3.6x10-6). Further analysis showed KIF18A displays a distinct pattern of expression across molecular subgroups of MM as well as being associated with patient survival. Our results inform future study design and provide a resource for contextualizing the impact of candidate MM susceptibility genes.

Indexed as

Gene DosageAgedDNA Mutational AnalysisExomeFemaleGene FrequencyGenetic Association StudiesGenetic Predisposition to DiseaseGenotypeHigh-Throughput Nucleotide SequencingHumansKinesinsMaleMitosisMultiple MyelomaPolymorphism, Single NucleotideKIF18A protein, humanKinesinsexome sequencinginherited riskmultiple myeloma

Identifiers

PMID28404951
PMCPMC5482649

What OpenQuestion holds

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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.