Since announcing our partnerships with Stanford School of Medicine and Germany’s National Center for Tumor Diseases, SAP is pleased to report tremendous progress in our collaborations to advance genomics for improved healthcare and personalized medicine.
1. On May 28, SAP expanded its strategic collaboration with Stanford to research how genetics, environmental exposures, behavior and other factors impact disease susceptibility. A key focus is the implication of global human genome variation in cardiovascular disease.
Stanford researchers have already corroborated a discovery that the genetic risk of Type II Diabetes varies between populations. Using the SAP HANA platform, they queried all relevant genetic variants across hundreds of individuals, in a time and scope of analysis not feasible with traditional methods.
2. To support other studies, SAP has released a beta version of SAP Genomic Analyzer powered by SAP HANA. With access to the 1000 Genomes Project’s phase 1 dataset of 1092 individuals, SAP Genomic Analyzer lets researchers interactively analyze variant data for their specific work. SAP invites interested researchers to participate in this trial with (free) access and support (e-mail:email@example.com).
3. NCT went live in December 2013 with the SAP HANA-based Medical Research Insights Application. Oncologists now use data-driven diagnostics combining clinical, genomic and eventually genomic variant annotation data, to individualize all cancer treatments and match patients to new drug trials. NCT will incorporate “soft” observations from patient recovery at home to help predict outcomes, as they standardize their new model for clinical care.
4. SAP researchers and colleagues have delivered a first draft of the Human Proteome using the SAP HANA database in the cloud. Published in Nature, this 2-year project maps genes to proteins to tissue, revealing the path to genetic expression. Mapping the Human Proteome can trace genetic predispositions to disease and suggest new therapeutic approaches to prevent them.