Individual & Population Variation in Biology, Medicine, & Society
Diverse researchers—from biology, medicine, statistics, nutrition, sociology, public health, anthropology, athletics, and more—will be collaborating across traditional research boundaries to investigate the causes and consequences of individual and popula
Description: What are the challenges in analyzing and integrating big data from -omics technologies and clinical datasets, electronic health records? Objectives/Deliverables: 1) Hands on experience with handling big datasets (Hackathon); 2) Analysis of datasets that could feed
into grant applications. (eg TOPMed, Alzheimer's GWAS?); 3) Review paper illustrating the technical and analytical challenges in doing these kinds of integrations, to be submitted for publication.
Description: The objective is to convene multi-disciplinary faculty thought leaders from the Dell Medical School and the UT campus in an intense, collaborative proposal development and submission effort over two weeks, from May 15-26, 2017, in response to RFAs we have targeted in the area of “Big Data and Precision Medicine” and inspired by the symposium and discussions preceding the working group.
Description: What do we know at the life sciences levels for the causes and consequences of population variation? For example, there is interesting work in non-human systems about how environmental variation and climate drives population variation. How can the [basic] life sciences be applied (or not) to the human level? Interesting and important underlying models include developmental processes, input on cognitive capacity, and how that influences aging and senescence.