SynthesisNature communications2016
Genome-wide association study identifies multiple susceptibility loci for 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. It is linked to trial NCT05539079 (A Prospective Long-term Observational Study in Patients With Monoclonal Gammopathy of Undetermined Significance), which is not on this map. Cited by 116 papers, 6 of them syntheses that pooled 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.
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.
A Prospective Long-term Observational Study in Patients With Monoclonal Gammopathy of Undetermined Significance
Who cites it
116 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Polymorphisms within Autophagy-Related Genes as Susceptibility Biomarkers for Multiple Myeloma: A Meta-Analysis of Three Large Cohorts and Functional Characterization.International journal of molecular sciences · 2023Pooled it
- Pooled it
- A meta-analysis of genome-wide association studies of multiple myeloma among men and women of African ancestry.Blood advances · 2020Pooled it
- Transcriptome-wide association study of multiple myeloma identifies candidate susceptibility genes.Human genomics · 2019Pooled it
- Identification of multiple risk loci and regulatory mechanisms influencing susceptibility to multiple myeloma.Nature communications · 2018Pooled it
- Distinct predictive impact of FISH abnormality in proteasome inhibitors and immunomodulatory agents response: redefining high-risk multiple myeloma in Asian patients.Cancer medicine · 2018Pooled it
- A prospective study of familial predisposition to plasma cell dyscrasias.Blood advances · 2026Article
- Article
- Genomic Features Do Not Account for Differences in Multiple Myeloma Risk by Ancestry.Blood cancer discovery · 2026Article
- ULK4 and CDKN2A polymorphisms influence the risk of developing monoclonal gammopathy of undetermined significance.International journal of cancer · 2026Article
- Deciphering the genetic underlying causes of sex differences in multiple myeloma incidence and mortality.HGG advances · 2026Article
- Genetic architecture of multiple myeloma: From somatic alterations to germline susceptibility and clinical implications.Translational oncology · 2026Review
- WAC is associated with malignant phenotypes and Wnt/β-catenin pathway activity in liver cancer cells.Translational cancer research · 2026Article
- NAT10 maintains stem cell homeostasis by mitigating mRNA decay through an acNature cell biology · 2026Article
- Review
- Article
- Smohaze-Upregulated RFWD3 Competes with TRIM24 to Stabilize TREX1 and Reduce Cytosolic dsDNA in Non-Small Cell Lung Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Article
- Exosome-transmitted HSPA9 facilitates bortezomib resistance by targeting TRIP13/USP1 signaling in multiple myeloma.Cell communication and signaling : CCS · 2025Article
- Exploration of the Prognostic Markers of Multiple Myeloma Based on Cuproptosis-Related Genes.Cancer reports (Hoboken, N.J.) · 2025Article
56 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
58 authors.
Funding
Abstract
Multiple myeloma (MM) is a plasma cell malignancy with a significant heritable basis. Genome-wide association studies have transformed our understanding of MM predisposition, but individual studies have had limited power to discover risk loci. Here we perform a meta-analysis of these GWAS, add a new GWAS and perform replication analyses resulting in 9,866 cases and 239,188 controls. We confirm all nine known risk loci and discover eight new loci at 6p22.3 (rs34229995, P=1.31 × 10(-8)), 6q21 (rs9372120, P=9.09 × 10(-15)), 7q36.1 (rs7781265, P=9.71 × 10(-9)), 8q24.21 (rs1948915, P=4.20 × 10(-11)), 9p21.3 (rs2811710, P=1.72 × 10(-13)), 10p12.1 (rs2790457, P=1.77 × 10(-8)), 16q23.1 (rs7193541, P=5.00 × 10(-12)) and 20q13.13 (rs6066835, P=1.36 × 10(-13)), which localize in or near to JARID2, ATG5, SMARCD3, CCAT1, CDKN2A, WAC, RFWD3 and PREX1. These findings provide additional support for a polygenic model of MM and insight into the biological basis of tumour development.
Indexed as
Identifiers
What OpenQuestion holds
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.