In This Section

A Comprehensive Cancer Center Designated by the National Cancer Institute

Genomics, Analytics, and Informatics Core

Nancy Cox, PhD
Theodore Karrison, PhD
Ian Foster, PhD

The goal of the Genomics, Analytics, and Informatics Core (GAIC) is to provide support for the collection, transformation, and analysis of data generated from all the SPORE projects. The core will be comprised of a team with expertise in providing technical support for genomic studies, collaborating on study design and statistical analysis, and cutting edge informatics support. The Core will work collaboratively with investigators from each project, the Developmental Research Program, the Career Development Program and with the Biospecimen and Recruitment Core (BRC) to provide a data management system to facilitate data collection, integration, and sharing among all investigators, projects, and Cores.

The aims of this core are to:
1.   Perform genomic assays for breast cancer studies using multiple technologies: Agilent Microarrays, RNASeq on Illumina HiSeq 2000 Sequencing System, and Nanostring nCounter platform for FFPE RNA.
2.   Support and maintain a platform to store, manage, and query well-annotated phenotypic data and its associated genomics data that is stored in an NCI-supported Cloud.
3.   Create and maintain infrastructure needed to address the challenges of volume, variety, and variability throughout the biomedical data lifecycle, with a particular focus on the challenges associated with large databases consisting of genomic, imaging, and clinical data.
4.   Provide data management support and services and key genomic analysis tools for individual projects.
5.   Facilitate the sharing of data and results among SPORE investigators and across institutions.
6.   Participate in the development and validation of automated tissue histology image analysis methods.
7.   Provide statistical and statistical genetic expertise for designing and conducting laboratory experiments, clinical trials, and genetic and epidemiologic studies arising from research proposed in this application and conduct methodological research in support of those investigations.
8.   Provide biostatistical expertise on methodological aspects of study design, sample size and power, forms design, data quality control, and clinical protocol preparation.
9.   Perform biostatistical data analysis and interpretation of results and assist in the development of manuscripts for publication.
10. Develop novel analytic approaches and public access databases that support SPORE research projects.

In developing this proposal, members of the GAIC worked closely with project leaders and individual researchers in the design of their studies and in the planning and formulation of statistical methods for data analysis. This interaction is expected to continue as data from ongoing studies are collected and analyzed and as new lines of investigation are opened. This core will ensure that all research studies are properly and efficiently designed, adequately powered, and appropriately analyzed. This will include pre-clinical studies as well as clinical trials and genetic/epidemiological studies utilizing patient material. The core will also work with investigators to ensure the completeness and quality of data collected within the SPORE. We will continue to pursue our long-term goal of harnessing “Big Data” in our SPORE and develop cutting edge health informatics tools that can be deployed to improve quality of our breast cancer clinical services and to assist our community partners in improving care across the continuum from diagnosis to survivorship while reducing costs and personalizing breast cancer risk assessment, screening and treatment at the point of care. Our history of developing new methods for analysis of genetic data and new types of public databases to serve results of SPORE studies adds value to the core, to our SPORE research projects, and to the larger breast cancer research community.


Services Available through the Core (Word)

Cancer IQ (CIQ)


Breast SPORE-Related Publications