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Sex-specific gene and pathway modeling of inherited glioma risk

Authors :
Ulrika Andersson
Sanjay Shete
Joellen M. Schildkraut
Sara H. Olson
Jeanette E. Eckel-Passow
Jonine L. Bernstein
Joshua B. Rubin
Georgina Armstrong
John K. Wiencke
Elizabeth B. Claus
Preetha Rajaraman
Dora Il'yasova
Beatrice Melin
Peter Liao
Daniel H. Lachance
Rose Lai
Christopher I. Amos
Melissa L. Bondy
Warren Coleman
Ryan Merrell
Gil Speyer
Zhaoming Wang
Christoffer Johansen
Michael E. Berens
William Huang
Martha S. Linet
Siegal Sadetzki
Stephen J. Chanock
Lucie McCoy
Terri Rice
Richard S. Houlston
Justin D. Lathia
Quinn T. Ostrom
Meredith Yeager
Robert B. Jenkins
Jill S. Barnholtz-Sloan
Margaret Wrensch
Helen M. Hansen
Publication Year :
2017
Publisher :
Cold Spring Harbor Laboratory, 2017.

Abstract

BackgroundGenome-wide association studies (GWAS) have identified 25 risk variants for glioma, which explain ~30% of heritable risk. Most glioma histologies occur with significantly higher incidence in males. A sex-stratified analysis ide7ntified sex-specific glioma risk variants, and further analyses using gene- and pathway-based approaches may further elucidate risk variation by sex.MethodsResults from the Glioma International Case-Control Study were used as a testing set, and results from three GWAS were combined via meta-analysis and used as a validation set. Using summary statistics for autosomal SNPs found to be nominally significant (pāˆ’6in ā…” algorithms.Results25 genes within five regions and 19 genes within six regions reached the set significance threshold in at least 2/3 algorithms in males and females, respectively.EGFRandRTEL1-TNFRSF6Bwere significantly associated with all glioma and glioblastoma in males only, and a female-specific association inTERT, all of which remained nominally significant after conditioning on known risk loci. There were nominal associations with the Telomeres, Telomerase, Cellular Aging, and Immortality pathway in both males and females.ConclusionsThese results suggest that there may be biologically relevant significant differences by sex in genetic risk for glioma. Additional gene- and pathway-based analyses may further elucidate the biological processes through which this risk is conferred.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....ba2d17c77e17f390ee630ba48b21fe43
Full Text :
https://doi.org/10.1101/235408