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GWAS Study

Age-specific genome-wide association study in glioblastoma identifies increased proportion of 'lower grade glioma'-like features associated with younger age.

Ostrom QT, Kinnersley B, Armstrong G et al.

30152087 PubMed ID
GWAS Study Type
15094 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

OQ
Ostrom QT
KB
Kinnersley B
AG
Armstrong G
RT
Rice T
CY
Chen Y
WJ
Wiencke JK
ML
McCoy LS
HH
Hansen HM
AC
Amos CI
BJ
Bernstein JL
CE
Claus EB
EJ
Eckel-Passow JE
ID
Il'yasova D
JC
Johansen C
LD
Lachance DH
LR
Lai RK
MR
Merrell RT
OS
Olson SH
SS
Sadetzki S
SJ
Schildkraut JM
SS
Shete S
RJ
Rubin JB
AU
Andersson U
RP
Rajaraman P
CS
Chanock SJ
LM
Linet MS
WZ
Wang Z
YM
Yeager M
HR
Houlston RS
JR
Jenkins RB
WM
Wrensch MR
MB
Melin B
BM
Bondy ML
BJ
Barnholtz-Sloan JS
Chapter II

Abstract

Summary of the research findings

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 [p54-63 = 1.50x10-9 , OR54-63 = 1.28, 95%CI54-63 = 1.18-1.39; p64+ = 2.14x10-11 , OR64+ = 1.32, 95%CI64+ = 1.21-1.43] and rs11979158 [p54-63 = 6.13x10-8 , OR54-63 = 1.35, 95%CI54-63 = 1.21-1.50; p64+ = 2.18x10-10 , OR64+ = 1.42, 95%CI64+ = 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 (p18-53 = 9.30 × 10-11 , OR18-53 = 1.76, 95%CI18-53 = 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.'

1,533 cases diagnosed below median age, 1,476 cases diagnosed at median age, 1,503 cases diagnosed above median age, 10,582 controls,

Chapter III

Study Statistics

Key metrics and study information

15094
Total Participants
GWAS
Study Type
No
Replicated
Chapter IV

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