A complete tool set for molecular QTL discovery and analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry
Link
http://www.nature.com/articles/ncomms15452.pdf
Reference22 articles.
1. Lappalainen, T. et al. Transcriptome and genome sequencing uncovers functional variation in humans. Nature 501, 506–511 (2013).
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. Pickrell, J. K. et al. Understanding mechanisms underlying human gene expression variation with RNA sequencing. Nature 464, 768–772 (2010).
4. Picotti, P. et al. A complete mass-spectrometric map of the yeast proteome applied to quantitative trait analysis. Nature 494, 266–270 (2013).
5. Kraus, W. E. et al. Metabolomic Quantitative Trait Loci (mQTL) mapping implicates the ubiquitin proteasome system in cardiovascular disease pathogenesis. PLoS Genet. 11, e1005553 (2015).
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