Quantifying the heritability of glioma using genome-wide complex trait analysis - CNRS - Centre national de la recherche scientifique Accéder directement au contenu
Article Dans Une Revue Scientific Reports Année : 2015

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

Résumé

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.
Fichier principal
Vignette du fichier
srep17267.pdf (258.49 Ko) Télécharger le fichier
Origine : Publication financée par une institution
Loading...

Dates et versions

hal-01271785 , version 1 (09-02-2016)

Licence

Paternité

Identifiants

Citer

Ben Kinnersley, Jonathan S. Mitchell, Konstantinos Gousias, Johannes Schramm, Ahmed Idbaih, et al.. Quantifying the heritability of glioma using genome-wide complex trait analysis. Scientific Reports, 2015, 5, pp.17267. ⟨10.1038/srep17267⟩. ⟨hal-01271785⟩
404 Consultations
167 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More