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Partitioned glioma heritability shows subtype-specific enrichment in immune cells.

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Date
2021-03-20
ICR Author
Houlston, Richard
Kinnersley, Benjamin
Author
Ostrom, QT
Edelson, J
Byun, J
Han, Y
Kinnersley, B
Melin, B
Houlston, RS
Monje, M
Walsh, KM
Amos, CI
Bondy, ML
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Type
Journal Article
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Abstract
Background Epidemiological studies of adult glioma have identified genetic syndromes and 25 heritable risk loci that modify individual risk for glioma, as well increased risk in association with exposure to ionizing radiation and decreased risk in association with allergies. In this analysis we assess whether there is shared genome-wide genetic architecture between glioma and atopic/autoimmune diseases.Methods Using summary statistics from a glioma genome-wide association studies (GWAS) meta-analysis, we identified significant enrichment for risk variants associated with gene expression changes in immune cell populations. We also estimated genetic correlations between glioma and autoimmune, atopic, and hematologic traits using LDscore regression, which leverages genome-wide single nucleotide polymorphism (SNP) associations and patterns of linkage disequilibrium.Results Nominally significant negative correlations were observed for glioblastoma and primary biliary cirrhosis (rg=-0.26, p=0.0228), and for non-glioblastoma gliomas and celiac disease (rg=-0.32, p=0.0109). Our analyses implicate dendritic cells (GB pHM= 0.0306 and non-GB pHM=0.0186) in mediating both glioblastoma and non-glioblastoma genetic predisposition, with glioblastoma-specific associations identified in natural killer (NK) (pHM=0.0201) and stem cells (pHM=0.0265).Conclusions This analysis identifies putative new associations between glioma and autoimmune conditions with genomic architecture that is inversely correlated with that of glioma and that T cells, NK cells, and myeloid cells are involved in mediating glioma predisposition. This provides further evidence that increased activation of the acquired immune system may modify individual susceptibility to glioma.
URI
https://repository.icr.ac.uk/handle/internal/4612
DOI
https://doi.org/10.1093/neuonc/noab072
Collections
  • Genetics and Epidemiology
Research team
Cancer Genomics
Cancer Genomics
Language
eng
Date accepted
2021-03-01
License start date
2021-03-20
Citation
Neuro-oncology, 2021

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