The genetic basis of human disease has been an underlying focus the biomedical sciences for almost a century, and was a major motivating factor behind the human genome project. With the explosion of genomic data that has brought on the age of personalized medicine, the role of computational analyses has become critical for all forms of inquiry. Increasingly, clinicians and basic scientists are confronted with massive genomic data sets that contain important answers to medical problems, but discovery is hindered by limited computational expertise. The COBRE Center for Computational Biology of Human Disease is intended to embrace this age of genomic medicine from an explicitly computational angle. Five Junior Investigators will lead research projects on that focus on different diseases such as cancer, respiratory and age- related diseases and preeclampsia, but are united by common computational and bioinformatic challenges of large genomic data sets. By building a collaborative Center of empirical and computational scientists, we will be able to advance new discoveries, algorithms and genetic and genomic screening approaches with direct relevance to several human diseases. The associated Administrative Core of this Center will provide a strong supportive context for these specific research projects, while also providing a broad base of support for the growth of collaborative research efforts on human disease at Brown University and its Affiliated Hospitals.

Public Health Relevance

The explosion of genomic data that underlies personalized medicine has been enabled by computational analyses across many lines of biomedical science inquiry. The COBRE Center for Computational Biology of Human Disease is intended to embrace this age of genomic medicine by building a collaborative Center of basic biologists, clinicians and computational scientists to uncover new approaches to the study of human diseases. This Center is consistent with NIH's commitment to Computational Biology and Bioinformatics.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Exploratory Grants (P20)
Project #
5P20GM109035-03
Application #
9433663
Study Section
Special Emphasis Panel (ZGM1)
Project Start
Project End
Budget Start
2018-03-01
Budget End
2019-02-28
Support Year
3
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Brown University
Department
Type
DUNS #
001785542
City
Providence
State
RI
Country
United States
Zip Code
02912
Bryner, Darshan; Criscione, Stephen; Leith, Andrew et al. (2017) GINOM: A statistical framework for assessing interval overlap of multiple genomic features. PLoS Comput Biol 13:e1005586
Cabral, Damien J; Wurster, Jenna I; Flokas, Myrto E et al. (2017) The salivary microbiome is consistent between subjects and resistant to impacts of short-term hospitalization. Sci Rep 7:11040
Nakka, Priyanka; Archer, Natalie P; Xu, Heng et al. (2017) Novel Gene and Network Associations Found for Acute Lymphoblastic Leukemia Using Case-Control and Family-Based Studies in Multiethnic Populations. Cancer Epidemiol Biomarkers Prev 26:1531-1539
Gamradt, Pia; Xu, Yun; Gratz, Nina et al. (2016) The Influence of Programmed Cell Death in Myeloid Cells on Host Resilience to Infection with Legionella pneumophila or Streptococcus pyogenes. PLoS Pathog 12:e1006032
Criscione, Steven W; Teo, Yee Voan; Neretti, Nicola (2016) The Chromatin Landscape of Cellular Senescence. Trends Genet 32:751-761
Sugden, Lauren Alpert; Ramachandran, Sohini (2016) Integrating the signatures of demic expansion and archaic introgression in studies of human population genomics. Curr Opin Genet Dev 41:140-149