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

Authors :
Kinnersley B
Mitchell JS
Gousias K
Schramm J
Idbaih A
Labussière M
Marie Y
Rahimian A
Wichmann HE
Schreiber S
Hoang-Xuan K
Delattre JY
Nöthen MM
Mokhtari K
Lathrop M
Bondy M
Simon M
Sanson M
Houlston RS
Source :
Scientific reports [Sci Rep] 2015 Dec 02; Vol. 5, pp. 17267. Date of Electronic Publication: 2015 Dec 02.
Publication Year :
2015

Abstract

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.

Details

Language :
English
ISSN :
2045-2322
Volume :
5
Database :
MEDLINE
Journal :
Scientific reports
Publication Type :
Academic Journal
Accession number :
26625949
Full Text :
https://doi.org/10.1038/srep17267