SynthesisNature communications2016
Genome-wide association study identifies variation at 6q25.1 associated with survival in multiple myeloma.
Synthesis in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.
- Pooled it
- Genome-wide association study identifies multiple susceptibility loci for multiple myeloma.Nature communications · 2016Pooled it
- Deciphering the genetic underlying causes of sex differences in multiple myeloma incidence and mortality.HGG advances · 2026Article
- Multiple myeloma.Nature reviews. Disease primers · 2024Review
- Article
- Efficient and accurate frailty model approach for genome-wide survival association analysis in large-scale biobanks.Nature communications · 2022Article
- The Relationship ofJournal of clinical medicine · 2021Article
- Expression quantitative trait loci of genes predicting outcome are associated with survival of multiple myeloma patients.International journal of cancer · 2021Article
- Genetically determined telomere length and multiple myeloma risk and outcome.Blood cancer journal · 2021Article
- Sequence variation at the MTHFD1L-AKAP12 and FOPNL loci does not influence multiple myeloma survival in Sweden.Blood cancer journal · 2019Article
- Identification and Validation of a Biomarker Signature in Patients With Resectable Pancreatic Cancer via Genome-Wide Screening for Functional Genetic Variants.JAMA surgery · 2019Article
- Gene Co-expression Network and Copy Number Variation Analyses Identify Transcription Factors Associated With Multiple Myeloma Progression.Frontiers in genetics · 2019Article
- Article
- European Myeloma Network recommendations on tools for the diagnosis and monitoring of multiple myeloma: what to use and when.Haematologica · 2018Review
- Constitutional mutation in CDKN2A is associated with long term survivorship in multiple myeloma: a case report.BMC cancer · 2017Article
- Evolutionary biology of high-risk multiple myeloma.Nature reviews. Cancer · 2017Review
- SurvivalGWAS_SV: software for the analysis of genome-wide association studies of imputed genotypes with "time-to-event" outcomes.BMC bioinformatics · 2017Article
Corrections and comments
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Authors and funding
22 authors at 7 institutions in 5 countries.
Funding
Abstract
Survival following a diagnosis of multiple myeloma (MM) varies between patients and some of these differences may be a consequence of inherited genetic variation. In this study, to identify genetic markers associated with MM overall survival (MM-OS), we conduct a meta-analysis of four patient series of European ancestry, totalling 3,256 patients with 1,200 MM-associated deaths. Each series is genotyped for ∼600,000 single nucleotide polymorphisms across the genome; genotypes for six million common variants are imputed using 1000 Genomes Project and UK10K as the reference. The association between genotype and OS is assessed by Cox proportional hazards model adjusting for age, sex, International staging system and treatment. We identify a locus at 6q25.1 marked by rs12374648 associated with MM-OS (hazard ratio=1.34, 95% confidence interval=1.22-1.48, P=4.69 × 10(-9)). Our findings have potential clinical implications since they demonstrate that inherited genotypes can provide prognostic information in addition to conventional tumor acquired prognostic factors.
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Registered trials
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.