Evidence map›Paper›PMID 31913320›Full record

ReviewLeukemia2020

Genetic predisposition for multiple myeloma.

Maroulio Pertesi, Molly Went, Markus Hansson, Kari Hemminki, Richard S Houlston, Björn Nilsson

Abstract readReview
PubMed Publisher
In one paragraph

Review in Leukemia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 7% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Does a Multiple Myeloma Polygenic Risk Score Predict Overall Survival of Patients with Myeloma?Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Pooled it
  2. Article
  3. Review
  4. Article
  5. Elevated Allele Frequency and Male-Predominance of a CommonCurrent issues in molecular biology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Multiple myeloma.Nature reviews. Disease primers · 2024
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

6 authors at 4 institutions in 5 countries.

Maroulio PertesiHematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, 221 84, Lund, Sweden.
Molly WentDivision of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey, SM2 5NG, UK.
Markus HanssonHematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, 221 84, Lund, Sweden.ORCID http://orcid.org/0000-0002-7715-4548
Kari HemminkiDepartment of Cancer Epidemiology, German Cancer Research Center, Im Neuenheimer Feld, Heidelberg, Germany.
Richard S HoulstonDivision of Genetics and Epidemiology, The Institute of Cancer Research, 15 Cotswold Road, Sutton, Surrey, SM2 5NG, UK.ORCID http://orcid.org/0000-0002-5268-0242
Björn NilssonHematology and Transfusion Medicine, Department of Laboratory Medicine, BMC B13, 221 84, Lund, Sweden. bjorn.nilsson@med.lu.se.
Institute of Cancer Research · GBLund University · SEBroad Institute · USGerman Cancer Research Center · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple myeloma (MM) is the second most common blood malignancy. Epidemiological family studies going back to the 1920s have provided evidence for familial aggregation, suggesting a subset of cases have an inherited genetic background. Recently, studies aimed at explaining this phenomenon have begun to provide direct evidence for genetic predisposition to MM. Genome-wide association studies have identified common risk alleles at 24 independent loci. Sequencing studies of familial cases and kindreds have begun to identify promising candidate genes where variants with strong effects on MM risk might reside. Finally, functional studies are starting to give insight into how identified risk alleles promote the development of MM. Here, we review recent findings in MM predisposition field, and highlight open questions and future directions.

Indexed as

Genetic Predisposition to DiseaseAllelesClinical Trials as TopicGenetic VariationGenome, HumanGenome-Wide Association StudyGenotypeHumansMultiple MyelomaPolymorphism, Single NucleotideRiskSequence Analysis, DNA

Identifiers

PMID31913320
OpenAlexW3000329833

What OpenQuestion holds

Textmetadata
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.