We request funds to continue the interdisciplinary training program in genomics at the University of Washington and affiliated institutions. The program focuses on preparing pre- and postdoctoral trainees for a research career in genomics and computational biology with an emphasis on translational research. Trainees will engage in projects that include discovering how a genome encodes the information for RNAs, proteins and its own structure and replication; measuring and analyzing sequence variation; developing technologies for high-throughput experimental assays including-next generation sequencing; and generating computational tools to analyze genomic variants and their impact on mRNA and protein function. As these research challenges demand interdisciplinary approaches and multidisciplinary collaborations, one goal of this program is to attract individuals trained in computer science, statistics, physics, and engineering to biological research. Another goal is to train cellular and molecular biologists to incorporate genomic- based quantitative analyses in their research to allow them to effectively collaborate at this interdisciplinary interface. Given the wide diversity in educational backgrounds and career goals among our trainees, the program emphasizes highly individualized training programs and interdisciplinary research. A multidisciplinary group of 51 faculty, selected for their involvement in genome analysis and their strong record of collaborative interactions, comprises the training team. Research experience is complemented with a variety of didactic courses and electives. The trainees are also exposed to discussions on ethical research conduct and the ethical, legal, and social implications of genomic research. Breadth of knowledge and program cohesion are achieved through trainee participation in two seminar series that feature genomic research and computational biology, journal clubs, and research reports. In the coming five years, we will continue to expand our program in genomics, proteomics, instrumentation development, computational biology, and statistical genomics. We request funds to train 12 predoctoral and 4 postdoctoral fellows per year. The trainees will emerge with the skills necessary for success in the academic and biomedical research environment of the 21st century made possible by advances in genomics.

Public Health Relevance

Genomics is integral to modern biomedical research and diagnosis. Genome-wide studies are used to identify potential genetic causes of disease and investigate fundamental questions of biology and development. Our program will train pre- and postdoctoral trainees for future biomedical and interdisciplinary research in genomics, proteomics and computational biology.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Institutional National Research Service Award (T32)
Project #
2T32HG000035-26
Application #
10022005
Study Section
National Human Genome Research Institute Initial Review Group (GNOM)
Program Officer
Gatlin, Tina L
Project Start
1995-08-01
Project End
2025-08-31
Budget Start
2020-09-01
Budget End
2021-08-31
Support Year
26
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of Washington
Department
Genetics
Type
Schools of Medicine
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
McCoy, Rajiv C; Newnham, Louise J; Ottolini, Christian S et al. (2018) Tripolar chromosome segregation drives the association between maternal genotype at variants spanning PLK4 and aneuploidy in human preimplantation embryos. Hum Mol Genet 27:2573-2585
Kursel, Lisa E; Malik, Harmit S (2018) The cellular mechanisms and consequences of centromere drive. Curr Opin Cell Biol 52:58-65
Bigham, Abigail W; Magnaye, Kevin; Dunn, Diane M et al. (2018) Complex signatures of natural selection at GYPA. Hum Genet 137:151-160
DeWitt 3rd, William S; Mesin, Luka; Victora, Gabriel D et al. (2018) Using Genotype Abundance to Improve Phylogenetic Inference. Mol Biol Evol 35:1253-1265
McNally, Colin P; Borenstein, Elhanan (2018) Metabolic model-based analysis of the emergence of bacterial cross-feeding via extensive gene loss. BMC Syst Biol 12:69
Hill, Andrew J; McFaline-Figueroa, José L; Starita, Lea M et al. (2018) On the design of CRISPR-based single-cell molecular screens. Nat Methods 15:271-274
Timmins-Schiffman, Emma; Mikan, Molly P; Ting, Ying Sonia et al. (2018) MS analysis of a dilution series of bacteria:phytoplankton to improve detection of low abundance bacterial peptides. Sci Rep 8:9276
Smukowski Heil, Caiti; Burton, Joshua N; Liachko, Ivan et al. (2018) Identification of a novel interspecific hybrid yeast from a metagenomic spontaneously inoculated beer sample using Hi-C. Yeast 35:71-84
Klein, Jason C; Chen, Wei; Gasperini, Molly et al. (2018) Identifying Novel Enhancer Elements with CRISPR-Based Screens. ACS Chem Biol 13:326-332
DeWitt, William S; Yu, Krystle K Q; Wilburn, Damien B et al. (2018) A Diverse Lipid Antigen-Specific TCR Repertoire Is Clonally Expanded during Active Tuberculosis. J Immunol 201:888-896

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