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Kinnersley, B.* ; Mitchell, J.S.* ; Gousias, K.* ; Schramm, J.* ; Idbaih, A.* ; Labussière, M.* ; Marie, Y.* ; Rahimian, A.* ; Wichmann, H.-E. ; Schreiber, S.* ; Hoang-Xuan, K.* ; Delattre, J.Y.* ; Nöthen, M.M.* ; Mokhtari, K.* ; Lathrop, M* ; Bondy, M.* ; Simon, M.* ; Houlston, R.S.*

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

Sci. Rep. 5:17267 (2015)
Verlagsversion Forschungsdaten DOI
Open Access Gold
Creative Commons Lizenzvertrag
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 × 10-17) for all forms of glioma - 26% (95% CI: 17-35%, P = 1.05 × 10-8) for glioblastoma multiforme (GBM) and 25% (95% CI: 17-32%, P = 1.26 × 10-10) for non-GBM tumors. This is a substantial increase from the genetic variance identified by the currently identified GWAS risk loci (∼6% of common heritability), indicating that most of the heritable risk attributable to common genetic variants remains to be identified.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
ISSN (print) / ISBN 2045-2322
e-ISSN 2045-2322
Zeitschrift Scientific Reports
Quellenangaben Band: 5, Heft: , Seiten: , Artikelnummer: 17267 Supplement: ,
Verlag Nature Publishing Group
Verlagsort London
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed