Quantifying the heritability of glioma using genome-wide complex trait analysis

Kinnersley, Ben, Mitchell, Jonathan S., Gousias, Konstantinos, Schramm, Johannes, Idbaih, Ahmed, Labussiere, Marianne, Marie, Yannick, Rahimian, Amithys, Wichmann, H. Erich, Schreiber, Stefan, Khe, Hoang-Xuan, Delattre, Jean-Yves, Noethen, Markus M., Mokhtari, Karima, Lathrop, Mark, Bondy, Melissa, Simon, Matthias, Sanson, Marc and Houlston, Richard S. (2015) Quantifying the heritability of glioma using genome-wide complex trait analysis Scientific Reports, 5 .

Full text not available from this repository.


Genome-wide association studies (GWAS) have successfully identified a number of common single-nucleotide polymorphisms (SNPs) influencing glioma risk. While these SNPs only explain a small proportion of the genetic risk it is unclear how much is left to be detected by other, yet to be identified, common SNPs. Therefore, we applied Genome-Wide Complex Trait Analysis (GCTA) to three GWAS datasets totalling 3,373 cases and 4,571 controls and performed a meta-analysis to estimate the heritability of glioma. Our results identify heritability estimates of 25% (95% CI: 20-31%, P = 1.15 x 10(-17)) for all forms of glioma -26% (95% CI: 17-35%, P = 1.05 x 10(-8)) for glioblastoma multiforme (GBM) and 25% (95% CI: 17-32%, P = 1.26 x 10(-10)) for non-GBM tumors. This is a substantial increase from the genetic variance identified by the currently identified GWAS risk loci (similar to 6% of common heritability), indicating that most of the heritable risk attributable to common genetic variants remains to be identified.

Document Type: Article
Additional Information: Times Cited: 0
Research affiliation: Kiel University
OceanRep > The Future Ocean - Cluster of Excellence
ISSN: 2045-2322
Projects: Future Ocean
Date Deposited: 18 Oct 2016 03:45
Last Modified: 18 Oct 2016 03:45
URI: http://eprints.uni-kiel.de/id/eprint/32547

Actions (login required)

View Item View Item