Gene expression analysis identifies global gene dosage sensitivity in cancer-Reference-Cited by-同舟云学术

Gene expression analysis identifies global gene dosage sensitivity in cancer

Published:2015-01-12 Issue:2 Volume:47 Page:115-125
ISSN:1061-4036
Container-title:Nature Genetics
language:en
Short-container-title:Nat Genet

Author:

Fehrmann Rudolf S N^ORCID,Karjalainen Juha M,Krajewska Małgorzata,Westra Harm-Jan^ORCID,Maloney David,Simeonov Anton,Pers Tune H,Hirschhorn Joel N,Jansen Ritsert C,Schultes Erik A,van Haagen Herman H H B M,de Vries Elisabeth G E,te Meerman Gerard J,Wijmenga Cisca,van Vugt Marcel A T M,Franke Lude

Publisher

Springer Science and Business Media LLC

Subject

Genetics

Link

http://www.nature.com/articles/ng.3173.pdf

Reference34 articles.

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2. Westra, H.-J. et al. Systematic identification of trans eQTLs as putative drivers of known disease associations. Nat. Genet. 45, 1238–1243 (2013).

3. Stranger, B.E. et al. Relative impact of nucleotide and copy number variation on gene expression phenotypes. Science 315, 848–853 (2007).

4. Ciriello, G. et al. Emerging landscape of oncogenic signatures across human cancers. Nat. Genet. 45, 1127–1133 (2013).

5. Wolfe, C.J., Kohane, I.S. & Butte, A.J. Systematic survey reveals general applicability of 'guilt-by-association' within gene coexpression networks. BMC Bioinformatics 6, 227 (2005).

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