SynthesisHuman genomics2019
Transcriptome-wide association study of multiple myeloma identifies candidate susceptibility genes.
Synthesis in Human genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.
- Single-Nucleotide Polymorphisms Related to Multiple Myeloma Risk: A Systematic Review and Meta-Analysis.International journal of molecular sciences · 2025Pooled it
- Genome-wide identification of potential biomarkers in multiple myeloma using meta-analysis of mRNA and miRNA expression data.Scientific reports · 2021Pooled it
- ULK4 in Neurodevelopmental and Neuropsychiatric Disorders.Frontiers in cell and developmental biology · 2022Review
- Mutagenic Activity of AID/APOBEC Deaminases in Antiviral Defense and Carcinogenesis.Molecular biology · 2022Article
- Identification of Immune-Related Genes for Risk Stratification in Multiple Myeloma Based on Whole Bone Marrow Gene Expression Profiling.Frontiers in genetics · 2022Article
- Multiple Myeloma: Bioinformatic Analysis for Identification of Key Genes and Pathways.Bioinformatics and biology insights · 2022Article
- Review
- The Significance of mRNA in the Biology of Multiple Myeloma and Its Clinical Implications.International journal of molecular sciences · 2021Review
- Multi-omics tumor profiling technologies to develop precision medicine in multiple myeloma.Exploration of targeted anti-tumor therapy · 2021Review
Corrections and comments
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Authors and funding
29 authors at 11 institutions in 7 countries.
Funding
Abstract
backgroundWhile genome-wide association studies (GWAS) of multiple myeloma (MM) have identified variants at 23 regions influencing risk, the genes underlying these associations are largely unknown. To identify candidate causal genes at these regions and search for novel risk regions, we performed a multi-tissue transcriptome-wide association study (TWAS).
resultsGWAS data on 7319 MM cases and 234,385 controls was integrated with Genotype-Tissue Expression Project (GTEx) data assayed in 48 tissues (sample sizes, N = 80-491), including lymphocyte cell lines and whole blood, to predict gene expression. We identified 108 genes at 13 independent regions associated with MM risk, all of which were in 1 Mb of known MM GWAS risk variants. Of these, 94 genes, located in eight regions, had not previously been considered as a candidate gene for that locus.
conclusionsOur findings highlight the value of leveraging expression data from multiple tissues to identify candidate genes responsible for GWAS associations which provide insight into MM tumorigenesis. Among the genes identified, a number have plausible roles in MM biology, notably APOBEC3C, APOBEC3H, APOBEC3D, APOBEC3F, APOBEC3G, or have been previously implicated in other malignancies. The genes identified in this TWAS can be explored for follow-up and validation to further understand their role in MM biology.
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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.