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Title:

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

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
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:
5
Pages contribution:
17267
Language:
eng
Fulltext / DOI:
doi:10.1038/srep17267
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/26625949
Print-ISSN:
2045-2322
TUM Institution:
Institut für Medizinische Statistik und Epidemiologie
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