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


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.

SUBMITTER: Kinnersley B 

PROVIDER: S-EPMC4667278 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature

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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  ...[more]

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