<p>Personalized medicine requires that we first address the challenge of genetic heterogeneity, prominent in rare cancers to common disease. While current clinical DNA sequence data successfully identify novel genetic variants, the genomic data alone are insufficient biomarkers of clinical phenotype. There is an unmet need for systematic integration of specific functional genomic data with patient genetic data, in order to bridge the knowledge gap between genetic variation and clinical phenotype. This specific study is focused on functional genomic data from platelets as disease-specific cells that are also ideal for proof-of-principle transcriptomic investigation (being anucleate), and highly-relevant to multiple disease processes.<br></p>

Integrated Clinical and Transcriptomic Profiling to Characterize Disease    Phenotype

Myeloproliferative Disorders study with RNA-Seq data on dbGaP (120 participants)

Integrated Clinical and Transcriptomic Profiling to Characterize Disease Phenotype

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