QIAGEN and Inova Translational Medicine Institute Introduce New Database of Ethnically and Phenotypically Diverse Whole Genome Information - Seite 2

"ITMI developed this one-of-a-kind dataset to help our clinicians and clinical researchers better understand genetic disease and optimize patient care. By enabling more researchers to access this previously unavailable resource, we believe they can develop a better understanding of familial and ancestral components of disease and have an even greater impact on improving human health and advancing precision medicine," said John Niederhuber, M.D., Chief Executive Officer at ITMI. "ITMI is pleased to be working with QIAGEN to provide the clinical research community access to this new solution which can help them jump start a cohort analysis with immediate access to richly annotated data or serve as a control library to improve case solve rates and reduce false positives."

"We are very proud of the accomplishments of the Inova Translational Medicine Institute and our position as a leader in the application of genomes to patient care. We are excited to share these accomplishments with researchers around the world to provide even greater opportunities to advance our understanding of diseases," said Mark Stauder, President and Chief Operating Officer of Inova Health Systems.

"In precision medicine, your ability to make impactful decisions and discoveries from each new dataset rests heavily on analyzing the data in the richest context possible - how much information you have about other genomes, the health outcomes associated with those genomes and what's known from peer-reviewed published research," said Eric Schadt, Ph.D., Director of the Icahn Institute for Genomics and Multiscale Biology. "An ethnically diverse genome database like the Inova Genome database when paired with big data computation and expertly curated content resources such as the QIAGEN Ingenuity Knowledge Base, can dramatically advance disease research and drive the adoption of next generation sequencing in the clinical setting."

The Inova Genomes data was generated using next-generation sequencing and has been annotated with electronic health record information that includes: bifurcation of normal vs. disease patients with high-level diagnosis, detailed race, ethnicity/ancestry and demographics (e.g. age, gender), and genotype, haplotype, longitudinal data and pedigree information, among others. The therapeutic areas represented by organ system include: pulmonary, gastrointestinal, genitourinary, cardiac, hematological, musculoskeletal and connective, endocrine and immunity, neoplasms, neurological disorders, microbial infection, dermatological and ophthalmological. Expression by RNA-seq, miRNA and methylation data are also available for a subset of individuals as is the ability to pursue additional collaborations.