Genetic Epidemiology of Glioma Susceptibility

Genetic epidemiology has illuminated the inherited architecture underlying glioma susceptibility, revealing a complex interplay between common and rare variants, epigenetic modifications and environmental modifiers. Genome-wide association studies have identified numerous risk loci that collectively account for a substantial fraction of heritable risk, with many exhibiting specificity for distinct molecular subtypes defined by IDH mutation status, 1p/19q co-deletion and TERT promoter alterations. Polygenic risk scores derived from these loci show promise in stratifying individuals by lifetime risk, while integrative approaches incorporating telomere length, DNA methylation profiles and cell-type-specific expression quantitative trait loci (eQTLs) have deepened understanding of causal pathways. Mendelian randomisation techniques have probed the directionality of associations between exposures—such as viral infections—and glioma onset. Somatic copy-number alterations and microdeletions intersect with germline susceptibility to drive oncogenic programmes, exemplified by the dysregulation of MYC in IDH-mutant astrocytomas. Collectively, these findings hold global significance for precision prevention, risk prediction and targeted intervention, underscoring the potential to translate genetic epidemiology into improved surveillance strategies and tailored therapeutic avenues.

Research from Nature Portfolio

Recent studies have leveraged Mendelian randomisation to explore the causal impact of differential DNA methylation on glioma risk, pinpointing three CpG sites at the HEATR3 locus whose methylation variation appears to modulate both glioma and glioblastoma susceptibility through shared genetic variants. In a foundational meta-analysis of multiple genome-wide association studies, investigators expanded the catalogue of common susceptibility loci, uncovering novel risk variants across several chromosomal regions and refining subtype-specific associations. Together, these advances reinforce a polygenic framework for glioma heredity and provide a robust genetic basis for subtype-tailored risk assessment.

Genetic Epidemiology of Glioma Susceptibility publication trend

The graph below shows the total number of articles in genetic epidemiology of glioma susceptibility across all publications each year (not limited to Nature Index journals).

Technical terms

Genome-wide association study (GWAS): An approach scanning common genetic variants across the genome to identify loci linked to disease susceptibility.

Mendelian randomisation (MR): A method that uses genetic variants as instrumental variables to infer causal relationships between exposures and disease outcomes.

DNA methylation: An epigenetic modification involving the addition of methyl groups to cytosine residues, influencing gene expression without altering DNA sequence.

Heritability: The proportion of variance in disease risk within a population attributable to genetic differences among individuals.

Copy-number alteration (CNA): Somatic gains or losses of genomic segments that can affect oncogene or tumour suppressor dosage and influence cancer development.

References

1. Association between viral infections and glioma risk: a two-sample bidirectional Mendelian randomization analysis. BMC Medicine (2023).
2. A microdeletion event at 19q13.43 in IDH-mutant astrocytomas is strongly correlated with MYC overexpression. Acta Neuropathologica Communications (2024).
3. Identification of Brain Cell Type‐Specific Therapeutic Targets for Glioma From Genetics. CNS Neuroscience & Therapeutics (2024).
4. Role of DNA methylation in the relationship between glioma risk factors and glioma incidence: a two-step Mendelian randomization study. Scientific Reports (2023).
5. Genome-wide association study identifies multiple susceptibility loci for glioma. Nature Communications (2015).
6. Diffuse gliomas classified by 1p/19q co-deletion, TERT promoter and IDH mutation status are associated with specific genetic risk loci. Acta Neuropathologica (2018).
7. Quantifying the heritability of glioma using genome-wide complex trait analysis. Scientific Reports (2015).