7. Abstract We propose to continue the highly successful Stanford Genome Training Program for another five years, comprising the 23rd to the 27th year of the program. The SGTP has trained 178 Graduate Students and 65 Postdoctoral Fellows since its inception. Students will perform their research in the laboratories of an outstanding set of 64 participating faculty from fourteen departments in three Stanford schools; the majority of these investigators have previously trained students or postdocs supported by the SGTP. Collaborations and interactions among faculty and students are commonplace and facilitate student success and interdisciplinary research, and our well-resourced laboratories support the very best science. Trainees participate in extensive training programs that include, in addition to initial laboratory rotations and their subsequent thesis work, rigorous coursework, skill-building in computational and quantitative biology, and training in the responsible conduct of research, among other activities. The Stanford School of Medicine is highly supportive with programs that foster general skills, well-being and career advancement, and provides a highly advanced environment to conduct the most cutting-edge research. Our efforts to provide a diverse program have been extremely successful, with admitted diversity PhD candidates consistently making up between 10 and 20 percent of our Genetics Graduate Students and SGTP trainees. The productivity and publication record of the past trainees and the outcomes in terms of job placement has been exceptional, and we plan to continue to train the next generation of science leaders and highly skilled technical staff, both in academia and in the private sector.

Public Health Relevance

The Stanford Genome Training Program trains PhD students and Postdoctoral fellows to go on to productive technical and high-level leadership positions in the biomedical sciences, in academia and in the private sector. Specifically, we train the next generation of scientists in the field of genomics, which is becoming increasingly important in disease diagnosis and prevention due to tremendous technical advances and a confluence of computer science with biomedicine in the past decade. Many of those advances were catalyzed and driven by our former trainees and those of similar institutions.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Institutional National Research Service Award (T32)
Project #
5T32HG000044-22
Application #
9553841
Study Section
Special Emphasis Panel (ZHG1)
Program Officer
Colley, Heather
Project Start
1995-09-01
Project End
2022-08-31
Budget Start
2018-09-01
Budget End
2019-08-31
Support Year
22
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Stanford University
Department
Genetics
Type
Schools of Medicine
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94304
Mezger, Anja; Klemm, Sandy; Mann, Ishminder et al. (2018) High-throughput chromatin accessibility profiling at single-cell resolution. Nat Commun 9:3647
Rong-Mullins, Xiaoqing; Ayers, Michael C; Summers, Mahmoud et al. (2018) Transcriptional Profiling of Saccharomyces cerevisiae Reveals the Impact of Variation of a Single Transcription Factor on Differential Gene Expression in 4NQO, Fermentable, and Nonfermentable Carbon Sources. G3 (Bethesda) 8:607-619
Bahrami-Nejad, Zahra; Zhao, Michael L; Tholen, Stefan et al. (2018) A Transcriptional Circuit Filters Oscillating Circadian Hormonal Inputs to Regulate Fat Cell Differentiation. Cell Metab 27:854-868.e8
Zhou, Coral Y; Johnson, Stephanie L; Lee, Laura J et al. (2018) The Yeast INO80 Complex Operates as a Tunable DNA Length-Sensitive Switch to Regulate Nucleosome Sliding. Mol Cell 69:677-688.e9
Wojcik, Genevieve L; Fuchsberger, Christian; Taliun, Daniel et al. (2018) Imputation-Aware Tag SNP Selection To Improve Power for Large-Scale, Multi-ethnic Association Studies. G3 (Bethesda) 8:3255-3267
Schroeder, Hannes; Sikora, Martin; Gopalakrishnan, Shyam et al. (2018) Origins and genetic legacies of the Caribbean Taino. Proc Natl Acad Sci U S A 115:2341-2346
Kramer, Nicholas J; Haney, Michael S; Morgens, David W et al. (2018) CRISPR-Cas9 screens in human cells and primary neurons identify modifiers of C9ORF72 dipeptide-repeat-protein toxicity. Nat Genet 50:603-612
Li, Yuping; Venkataram, Sandeep; Agarwala, Atish et al. (2018) Hidden Complexity of Yeast Adaptation under Simple Evolutionary Conditions. Curr Biol 28:515-525.e6
Muzzio, Marina; Motti, Josefina M B; Paz Sepulveda, Paula B et al. (2018) Population structure in Argentina. PLoS One 13:e0196325
Satpathy, Ansuman T; Saligrama, Naresha; Buenrostro, Jason D et al. (2018) Transcript-indexed ATAC-seq for precision immune profiling. Nat Med 24:580-590

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