Grant Detail
The grant detail shows the name of the PI, active dates of the project, the funding institute and the abstract of the grant. This abstract is what is used to create the fingerprint of the grant. If any publications referencing this grant are found in the data, they will be listed here as well.
Training Program in Quantitative Ocular Genomics
1 February 2011 - 31 January 2016
NATIONAL EYE INSTITUTE
Total Funding: $ 128,222
DESCRIPTION (provided by applicant): Human genetics has emerged over the past 50 years as a dominant force in biology and medicine. This critical position stems not only from its central importance in explaining the most basic biological processes, but also from its growing repertoire of critical technologies and methods that can elucidate molecular, cellular, organismal, and population biology. However, the application of these technologies and methods to different diseases and phenotypes has varied greatly. Despite the medical, social, and cultural importance of eyesight, genetic studies of ocular phenotypes have lagged behind other disease entities. This is due in part to the lack of cross-disciplinary training opportunities. The primary goal of this Training Program in Quantitative Ocular Genomics is to fill this gap by training a new generation of ocular researchers who have specific expertise in genomic analysis. The proposed Training Program in Quantitative Ocular Genomics requests two pre-doctoral and four post-doctoral training slots. It builds upon the substantial increase in resources, faculty, facilities, and expertise in both ophthalmology (through the Vanderbilt Eye Institute) and human genetics (through the Center for Human Genetics Research) at Vanderbilt. For pre-doctoral training it also builds upon Vanderbilt's existing pre-doctoral Interdisciplinary Graduate Program (IGP) and its excellent and large pool of student applicants. Our goal is to train future investigators to characterize genetic variation and understand its phenotypic implications on ocular phenotypes in humans. Vanderbilt has particular strengths in statistical genetics, computational genomics, genetic epidemiology, bioinformatics, and clinical and basic ophthalmological research. All pre-doctoral trainees will undergo a rigorous didactic program and intensive research training. Post-doctoral trainees will be integrated into our extensive and rich research environment. We have enhanced this training program with regular seminars, journal clubs, an informal works-in-progress seminar, and an annual retreat. To ensure a balanced and complete training experience, each trainee will be co-mentored by a preceptor with extensive experience in genomics and another in ocular function. PUBLIC HEALTH RELEVANCE: This training program will provide training into statistical genetics and genome bioinformatics for both pre-doctoral and post-doctoral fellows. They will have an integrated training environment providing specific training in both the clinical and genomic aspects of quantitative ocular phenotypes.
2 Resulting Publications
-
1.
2012Megan Ulmer; Jun Li; Brian L Yaspan; Ayse Bilge Ozel; Julia E Richards; Sayoko E Moroi; Felicia Hawthorne; Donald L Budenz; David S Friedman; Douglas Gaasterland; et al.
Investigative ophthalmology & visual science 2012;53(8):4468-74. -
2.
2012Janey L Wiggs; Brian L Yaspan; Michael A Hauser; Jae H Kang; R Rand Allingham; Lana M Olson; Wael Abdrabou; Bao J Fan; Dan Y Wang; Wendy Brodeur; et al.
PLoS genetics 2012;8(4):e1002654.
Scientific Context
This section shows information that has been computed by using the fingerprint of the grant, including related publications, related experts and related grants - all with fingerprints representing significant amounts of overlap between their fingerprint and this grant. The red dots indicate whether those experts or terms actually appear within this grant, showing potential and actual connections.
Related Grants
Related Publications
Related Topics
Appears in this Publication
Related Experts
Author of this Publication
-
Internal ExpertsPublications

