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Document type:
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't 
Author(s):
Kinnersley, Ben; Mitchell, Jonathan S; Gousias, Konstantinos; Schramm, Johannes; Idbaih, Ahmed; Labussière, Marianne; Marie, Yannick; Rahimian, Amithys; Wichmann, H-Erich; Schreiber, Stefan; Hoang-Xuan, Khe; Delattre, Jean-Yves; Nöthen, Markus M; Mokhtari, Karima; Lathrop, Mark; Bondy, Melissa; Simon, Matthias; Sanson, Marc; Houlston, Richard S 
Title:
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...    »
 
Journal title abbreviation:
Sci Rep 
Year:
2015 
Journal volume:
Pages contribution:
17267 
Language:
eng 
Fulltext / DOI:
Print-ISSN:
2045-2322 
TUM Institution:
Institut für Medizinische Statistik und Epidemiologie