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Data from Transcriptome-Wide Association Study Identifies New Candidate Susceptibility Genes for Glioma

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Atkins, I; Kinnersley, B; Ostrom, QT; Labreche, K; Il'yasova, D; Armstrong, GN; Eckel-Passow, JE; Schoemaker, MJ; Nöthen, MM; Swerdlow, AJ ...
March 31, 2023

<div>Abstract<p>Genome-wide association studies (GWAS) have so far identified 25 loci associated with glioma risk, with most showing specificity for either glioblastoma (GBM) or non-GBM tumors. The majority of these GWAS susceptibility variants reside in noncoding regions and the causal genes underlying the associations are largely unknown. Here we performed a transcriptome-wide association study to search for novel risk loci and candidate causal genes at known GWAS loci using Genotype-Tissue Expression Project (GTEx) data to predict <i>cis</i>-predicted gene expression in relation to GBM and non-GBM risk in conjunction with GWAS summary statistics on 12,488 glioma cases (6,183 GBM and 5,820 non-GBM) and 18,169 controls. Imposing a Bonferroni-corrected significance level of <i>P</i> < 5.69 × 10<sup>−6</sup>, we identified 31 genes, including <i>GALNT6</i> at 12q13.33, as a candidate novel risk locus for GBM (mean <i>Z</i> = 4.43; <i>P</i> = 5.68 × 10<sup>−6</sup>). <i>GALNT6</i> resides at least 55 Mb away from any previously identified glioma risk variant, while all other 30 significantly associated genes were located within 1 Mb of known GWAS-identified loci and were not significant after conditioning on the known GWAS-identified variants. These data identify a novel locus (<i>GALNT6</i> at 12q13.33) and 30 genes at 12 known glioma risk loci associated with glioma risk, providing further insights into glioma tumorigenesis.</p>Significance:<p>This study identifies new genes associated with glioma risk, increasing understanding of how these tumors develop.</p></div>

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Publication Date

March 31, 2023
 

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Atkins, I., Kinnersley, B., Ostrom, Q. T., Labreche, K., Il’yasova, D., Armstrong, G. N., … Houlston, R. S. (2023). Data from Transcriptome-Wide Association Study Identifies New Candidate Susceptibility Genes for Glioma. https://doi.org/10.1158/0008-5472.c.6511509
Atkins, Isabelle, Ben Kinnersley, Quinn T. Ostrom, Karim Labreche, Dora Il’yasova, Georgina N. Armstrong, Jeanette E. Eckel-Passow, et al. “Data from Transcriptome-Wide Association Study Identifies New Candidate Susceptibility Genes for Glioma,” March 31, 2023. https://doi.org/10.1158/0008-5472.c.6511509.
Atkins I, Kinnersley B, Ostrom QT, Labreche K, Il’yasova D, Armstrong GN, et al. Data from Transcriptome-Wide Association Study Identifies New Candidate Susceptibility Genes for Glioma. 2023.
Atkins, Isabelle, et al. Data from Transcriptome-Wide Association Study Identifies New Candidate Susceptibility Genes for Glioma. 31 Mar. 2023. Crossref, doi:10.1158/0008-5472.c.6511509.
Atkins I, Kinnersley B, Ostrom QT, Labreche K, Il’yasova D, Armstrong GN, Eckel-Passow JE, Schoemaker MJ, Nöthen MM, Barnholtz-Sloan JS, Swerdlow AJ, Simon M, Rajaraman P, Chanock SJ, Shildkraut J, Bernstein JL, Hoffmann P, Jöckel K-H, Lai RK, Claus EB, Olson SH, Johansen C, Wrensch MR, Melin B, Jenkins RB, Sanson M, Bondy ML, Houlston RS. Data from Transcriptome-Wide Association Study Identifies New Candidate Susceptibility Genes for Glioma. 2023.

DOI

Publication Date

March 31, 2023