ArticleBlood advances2020
Search for multiple myeloma risk factors using Mendelian randomization.
Article in Blood advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 6 of them syntheses that pooled it.
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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
28 citing papers in PubMed, 6 syntheses or guidelines pooled it, 76 citations in OpenAlex.
- Lipid levels and multiple myeloma risk: insights from Meta-analysis and mendelian randomization.Lipids in health and disease · 2024Pooled it
- Vitamin D and human health: evidence from Mendelian randomization studies.European journal of epidemiology · 2024Pooled it
- Correlation Between Bariatric Surgery and the Risk of Multiple Myeloma: Results from an Evidence-Based Strategy.Obesity surgery · 2024Pooled it
- Serum 25-Hydroxyvitamin D and Cancer Risk: A Systematic Review of Mendelian Randomization Studies.Nutrients · 2023Pooled it
- Systematic review of Mendelian randomization studies on risk of cancer.BMC medicine · 2022Pooled it
- Causal role of high body mass index in multiple chronic diseases: a systematic review and meta-analysis of Mendelian randomization studies.BMC medicine · 2021Pooled it
- Comprehensive Analysis of IgA Nephropathy Causal Factors in Plasma Proteins, Immune Cell Types, and Immune Cell Traits.Clinical journal of the American Society of Nephrology : CJASN · 2026Article
- Exploring the role of circulating proteins in multiple myeloma risk: a Mendelian randomization study.Scientific reports · 2025Article
- Association of lipid levels, adipokines and multiple myeloma: a two-sample multivariate Mendelian randomization study.Scientific reports · 2024Article
- Identification of biomarkers in multiple myeloma: A comprehensive study combining microarray analysis and Mendelian randomization.Journal of cellular and molecular medicine · 2024Article
- Iron status and sarcopenia-related traits: a bi-directional Mendelian randomization study.Scientific reports · 2024Article
- Paired Comment Regarding Correlation Between Bariatric Surgery and the Risk of Multiple Myeloma: Results from an Evidence-Based Strategy.Obesity surgery · 2024Article
- Causal Relationship between Mitochondrial-Associated Proteins and Sepsis in ICU Patients: A Mendelian Randomization Study.ACS omega · 2024Article
- The role of nutrition and gut microbiome in the progression of multiple myeloma and its precursor disease.Frontiers in oncology · 2024Review
- Evaluation for causal effects of socioeconomic traits on risk of female genital prolapse (FGP): a multivariable Mendelian randomization analysis.BMC medical genomics · 2023Article
- Phenomic Studies on Diseases: Potential and Challenges.Phenomics (Cham, Switzerland) · 2023Review
- Obesity as a risk factor for multiple myeloma: insight on the role of adipokines.Pathology oncology research : POR · 2023Review
- Causal associations of gut microbiota and metabolites on sepsis: a two-sample Mendelian randomization study.Frontiers in immunology · 2023Article
- Mendelian randomization study on the causal effects of omega-3 fatty acids on rheumatoid arthritis.Clinical rheumatology · 2022Article
- The Role of Mendelian Randomization Studies in Deciphering the Effect of Obesity on Cancer.Journal of the National Cancer Institute · 2022Article
Corrections and comments
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Authors and funding
15 authors at 6 institutions in 6 countries.
Funding
Abstract
The etiology of multiple myeloma (MM) is poorly understood. Summary data from genome-wide association studies (GWASs) of multiple phenotypes can be exploited in a Mendelian randomization (MR) phenome-wide association study (PheWAS) to search for factors influencing MM risk. We performed an MR-PheWAS analyzing 249 phenotypes, proxied by 10 225 genetic variants, and summary genetic data from a GWAS of 7717 MM cases and 29 304 controls. Odds ratios (ORs) per 1 standard deviation increase in each phenotype were estimated under an inverse variance weighted random effects model. A Bonferroni-corrected threshold of P = 2 × 10-4 was considered significant, whereas P < .05 was considered suggestive of an association. Although no significant associations with MM risk were observed among the 249 phenotypes, 28 phenotypes showed evidence suggestive of association, including increased levels of serum vitamin B6 and blood carnitine (P = 1.1 × 10-3) with greater MM risk and ω-3 fatty acids (P = 5.4 × 10-4) with reduced MM risk. A suggestive association between increased telomere length and reduced MM risk was also noted; however, this association was primarily driven by the previously identified risk variant rs10936599 at 3q26 (TERC). Although not statistically significant, increased body mass index was associated with increased risk (OR, 1.10; 95% confidence interval, 0.99-1.22), supporting findings from a previous meta-analysis of prospective observational studies. Our study did not provide evidence supporting any modifiable factors examined as having a major influence on MM risk; however, it provides insight into factors for which the evidence has previously been mixed.
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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.