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Age‐specific genome‐wide association study in glioblastoma identifies increased proportion of ‘lower grade glioma’‐like features associated with younger age

Authors :
Meredith Yeager
Beatrice Melin
Helen M. Hansen
Ulrika Andersson
Martha S. Linet
Ryan Merrell
Preetha Rajaraman
Elizabeth B. Claus
Lucie McCoy
Ben Kinnersley
John K. Wiencke
Christoffer Johansen
Georgina Armstrong
Christopher I. Amos
Margaret Wrensch
Stephen J. Chanock
Rose Lai
Daniel H. Lachance
Zhaoming Wang
Quinn T. Ostrom
Terri Rice
Jeanette E. Eckel-Passow
Joellen M. Schildkraut
Richard S. Houlston
Jonine L. Bernstein
Siegal Sadetzki
Melissa L. Bondy
Dora Il'yasova
Sanjay Shete
Yanwen Chen
Sara H. Olson
Joshua B. Rubin
Robert B. Jenkins
Jill S. Barnholtz-Sloan
Source :
International Journal of Cancer. 143:2359-2366
Publication Year :
2018
Publisher :
Wiley, 2018.

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(54–63)=1.50×10(−9), OR(54–63)=1.28, 95%CI(54–63)=1.18–1.39; p(64+)=2.14×10(−11), OR(64+)=1.32, 95%CI(64+)=1.21–1.43] and rs11979158 [p(54–63)=6.13×10(−8), OR(54–63)=1.35, 95%CI(54–63)=1.21–1.50; p(64+)=2.18×10(−10), OR(64+)=1.42, 95%CI(64+)=1.27–1.58]) but only in persons >54. There was also a significant association at the previously identified lower grade glioma (LGG) risk locus at 8q24.21 (rs55705857) in persons ages 18–53 (p(18–53)=9.30×10(−11), OR(18–53)=1.76, 95%CI(18–53)=1.49–2.10). Within The Cancer Genome Atlas (TCGA) there was higher prevalence of ‘LGG’-like tumor characteristics in GBM samples in those 18–53, with IDH1/2 mutation frequency of 15%, as compared to 2.1% [54–63] and 0.8% [64+] (p=0.0005). Age-specific differences in cancer susceptibility can provide important clues to etiology. The association of a SNP known to confer risk for IDH1/2 mutant glioma and higher prevalence of IDH1/2 mutation within younger individuals 18–53 suggests that more younger individuals may present initially with ‘secondary glioblastoma.’

Details

ISSN :
10970215 and 00207136
Volume :
143
Database :
OpenAIRE
Journal :
International Journal of Cancer
Accession number :
edsair.doi.dedup.....2c007bbf6435aed5a83b0f0dd253fae3
Full Text :
https://doi.org/10.1002/ijc.31759