Genome-wide association (GWA) studies have identified thousands of genetic variants that contribute to disease and pharmacologic traits. More recently, high-throughput sequencing studies promise to provide a more complete catalog of genetic variants with roles in human phenotypic variation. Yet, characterizing the influence of functional variants on genes, RNAs, proteins, and ultimately disease or pharmacologic traits is a critical challenge for a vast majority of the implicated susceptibility loci. Here we describe SCAN, a bioinformatics resource we have developed to elucidate the functional consequences of genetic variants identified by genome-wide scans. In particular, this public resource implements a systems biology approach to pharmacogenomic discovery. © Springer Science+Business Media, LLC 2013.
CITATION STYLE
Gamazon, E. R., Huang, R. S., & Cox, N. J. (2013). SCAN: A systems biology approach to pharmacogenomic discovery. Methods in Molecular Biology, 1015, 213–224. https://doi.org/10.1007/978-1-62703-435-7_14
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