ArticleInternational journal of cancer2018
Age-specific genome-wide association study in glioblastoma identifies increased proportion of 'lower grade glioma'-like features associated with younger age.
Article in International journal of cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- Multi-ancestry genome-wide association study of 4069 children with glioma identifies 9p21.3 risk locus.Neuro-oncology · 2023Pooled it
- The microenvironment of glioblastoma: in pursuit of universal multimodal immunotherapy.Acta neurologica Belgica · 2026Review
- Screening of glioma susceptibility SNPs and construction of risk models based on machine learning algorithms.BMC neurology · 2025Article
- Understanding Neovascularization in Glioblastoma: Insights from the Current Literature.International journal of molecular sciences · 2025Review
- Regression and machine learning approaches identify potential risk factors for glioblastoma multiforme.Brain communications · 2025Article
- The arch myth: investigating the impact of flat foot on vertical jump height: a systematic review and meta-analysis.BMC sports science, medicine & rehabilitation · 2024Article
- Epidemiology of malignant brain tumors in Genova, Italy. 1993-2017.Scientific reports · 2024Article
- Paromomycin targets HDAC1-mediated SUMOylation and IGF1R translocation in glioblastoma.Frontiers in pharmacology · 2024Article
- Inherited genetics of adult diffuse glioma and polygenic risk scores-a review.Neuro-oncology practice · 2022Review
- Glioblastoma in the Elderly: Review of Molecular and Therapeutic Aspects.Biomedicines · 2022Review
- Newly Diagnosed Glioblastoma in Elderly Patients.Current oncology reports · 2022Review
- From GWAS to drug screening: repurposing antipsychotics for glioblastoma.Journal of translational medicine · 2022Article
- Article
- Racial/ethnic disparities in treatment pattern and time to treatment for adults with glioblastoma in the US.Journal of neuro-oncology · 2021Article
- Identification of Hub Gene GRIN1 Correlated with Histological Grade and Prognosis of Glioma by Weighted Gene Coexpression Network Analysis.BioMed research international · 2021Article
- Clinical Significance of Various Classification Standards of Age Groups in Predicting Survival of Patients with Glioblastoma.Medical science monitor : international medical journal of experimental and clinical research · 2020Article
- Risk factors for childhood and adult primary brain tumors.Neuro-oncology · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
35 authors at 20 institutions in 5 countries.
Funding
Abstract
Glioblastoma (GBM) is the most common malignant brain tumor in the United States. Incidence of GBM increases with age, and younger age-at-diagnosis is significantly associated with improved prognosis. While the relationship between candidate GBM risk SNPs and age-at-diagnosis has been explored, genome-wide association studies (GWAS) have not previously been stratified by age. Potential age-specific genetic effects were assessed in autosomal SNPs for GBM patients using data from four previous GWAS. Using age distribution tertiles (18-53, 54-64, 65+) datasets were analyzed using age-stratified logistic regression to generate p values, odds ratios (OR), and 95% confidence intervals (95%CI), and then combined using meta-analysis. There were 4,512 total GBM cases, and 10,582 controls used for analysis. Significant associations were detected at two previously identified SNPs in 7p11.2 (rs723527 [p
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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.