The Genomic Information System for Integrative Science (GenISIS)

Contact:

Leonard D'Avolio, PhD Mass. Veterans Epidemiology Research and Information Center (MAVERIC)
VA Boston Healthcare System
Leonard.Davolio@va.gov,
or ldavolio@gmail.com

What is GenISIS?

The Genomic Information System for Integrative Science (GenISIS) is an information technology environment designed to facilitate the recruitment & enrollment and analysis of subjects in studies that combine both phenotypic and biological data (genomics, proteomics, metabolomics, etc). GenISIS is an integrated environment featuring a number of applications and databases, hooks to third party data sources such as knowledge bases and electronic medical records, as well as a high performance computing and storage environment.

There are two main areas of GenISIS; Recruit & Enroll (R&E) and the Scientific Environment.

Recruit & Enroll

'Recruit & Enroll' manages the logistics of recruiting and enrolling patients into cohorts. Applications featured in R&E include Site Coordinator, Call Center, Mail Center, and a Command and Control Center for tracking progress and tuning the processes of R&E accordingly. The first and largest 'client' of R&E is MVP, the Million Veteran Program. The MVP team will be using R&E to manage mailings to 12 million Veterans, enrolling Veterans at 50 sites across the country, tracking their information including specimen, consents, and surveys. R&E was designed to give a single 'view' of all subject activity from phone calls into the call center to scheduling study appointments that coincide with already scheduled hospital visits.

GenISIS App

(A screen shot of an alpha version of the Site Coordinator app).


A training video of an alpha version of the Site Coordinator application can be viewed [here].

Scientific Environment

The GenISIS Scientific Environment features integrated databases of case report form data, electronic medical record data, consent information, and specimen data. It will also provide a remotely accessible analysis environment with applications such as SAS, R, Plink, etc as well as the ability to upload software. Computing capabilities include 70 TB of SAN and scratch space as well as a 192 node high performance cluster. The scientific environment will also feature access to third party knowledge bases such as those hosted by NCBI.