BC Environmental and Occupational Health Research Network

This RFA seeks proposals to develop innovative and advanced statistical methods to appropriately analyze the forthcoming complex data sets to assess the influence of genetic variation on tissue-specific gene expression and regulation. Applicants are encouraged to take advantage of the availability of the SNP and tissue specific gene expression data (both chip- and next-generation sequencing based RNA expression data) from multiple tissues generated by the GTEx pilot project. However, since the data generated from the GTEx pilot may not be available until very late in the funding period, if at all, analyses based on existing human genotype-gene expression datasets, and simulation-based studies, are also appropriate. In terms of the data resources, applicants are encouraged to use the data generated by GTEx if/when it is available; they may also use existing data through collaborative efforts, the GTEx portal of NCBI (http://www.ncbi.nlm.nih.gov/gtex/), or simulated data sets. All proposed analyses must have relevance to human eQTL mapping, and those that focus entirely or predominantly on human data, or those that involve direct comparison of human data to other mammalian systems, have the highest programmatic priority.