Genetics of gene expression surveyed in maize, mouse and man

By Eric E. Schadt, S. Monks, T. Drake, Aldons J. Lusis, Nam Che, Veronica V. Colinayo, T. Ruff, S. Milligan, J. Lamb, G. Cavet and 4 more. Nature, 2003

1,578 citations recorded by the source corpus.

Subfields: Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/64af617824b16a3424f9674e3950c288d997ff21

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Citations in the corpus

Estimating the number of true null hypotheses from a histogram of p values (2006, methodology): “The estimator tended to exhibit more positive bias and lower mean squared error than the estimator proposed by Storey and Tibshirani (2003) for most conditions considered in our simulation study.”
Reconstruction of a functional human gene network, with an application for prioritizing positional candidate genes. (2006, background): “However, it has turned out that, in most genes, differences in expression are determined by genetic variation in genes located elsewhere.(55,56) The reconstructed functional gene network can help to relate the observed differences in gene expression to the underlying causative genetic variants in ot”
Harnessing naturally randomized transcription to infer regulatory relationships among genes (2007, background): “Because DNA variation has a substantial and widespread effect on transcriptional variation [12-15,21-25], we show that randomizing DNA content provides a natural mechanism for randomizing RNA levels.”
A genome-wide association study of global gene expression (2007, background): “Gene transcript abundance is directly modified by polymorphism in regulatory elements and consequently may be mapped with considerable powe”
Comparative Analysis of Proteome and Transcriptome Variation in Mouse (2011, background): “For example, “genetical genomics” studies examine transcript levels as a function of genetic variation and use this information to construct models, such as interaction networks, to explain complex phenotypes [1]–[8].”
Naturally occurring genetic variation in Arabidopsis thaliana. (2004, background): “Such comparative QTL mapping will be particularly useful in the near future, when high-throughput techniques are used for QTL mapping, such as metabolomic assays that simultaneously measure large numbers of metabolites (39) or transcriptomic protocols that measure gene expression at a genome-wide sc”
The evolution of transcriptional regulation in eukaryotes. (2003, background): “Using this approach, more than 160 segregating promoter variants that influence transcription have been identified in humans (Cooper 1999; Rockman and Wray 2002), and several have been identified in Drosophila melanogaster (e.g., Robin et al. 2002).”