This competitive renewal application proposes a continuation of the Stanford Genome Training Program (SGTP), one of the first NHGRI-sponsored genome training programs established six years ago. Building on the highly-successful program that has supported and trained 48 Graduate Student and Postdoctoral Fellow Trainees in 20 funded slots during this first funding period, the proposed continuation will expand to 32 Graduate Student slots and 4 Postdoctoral Fellow slots. These Trainees will work in the laboratories of 35 Participating Faculty members in 12 different Departments on the Stanford campus on a very wide array of genomics projects, including DNA and protein microarray experiments, large-scale sequencing and mapping of genomes, comparative sequencing and analysis, functional genomics, statistical genetics and genomics, highthroughput genotyping and genetic analysis, evolutionary genomics, pharmacogenetics, developmental biology and many other biological problems that benefit from a genomics perspective. The SGTP will continue to have a strong computational and quantitative component, with more than a third of the Trainees doing purely computational and analytical research and essentially all of the others using tools developed by bioinformatics researchers. Trainees will have a structured training plan administered by a dedicated Executive Committee comprised of the Principal Investigator/Program Director and four additional Participating Faculty members. This plan includes a regular series of Trainee research talks, a Genomics Seminar Series, Trainee-specific coursework plans developed by the Executive Committee with each Trainee, and a yearly Genomics Lectureship designed and run by the Trainees. Trainees and Participating Faculty will participate in a number of activities designed to recruit and teach individuals who are members of under-represented minorities, and to extend the genomics message to fellow scientists and non-scientists at a range of age levels.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Institutional National Research Service Award (T32)
Project #
2T32HG000044-06
Application #
6553246
Study Section
Special Emphasis Panel (ZHG1-HGR-P (M1))
Program Officer
Graham, Bettie
Project Start
1995-09-01
Project End
2007-08-31
Budget Start
2002-09-26
Budget End
2003-08-31
Support Year
6
Fiscal Year
2002
Total Cost
$1,344,305
Indirect Cost
Name
Stanford University
Department
Genetics
Type
Schools of Medicine
DUNS #
800771545
City
Stanford
State
CA
Country
United States
Zip Code
94305
Rappoport, Nadav; Toung, Jonathan; Hadley, Dexter et al. (2018) A genome-wide association study identifies only two ancestry specific variants associated with spontaneous preterm birth. Sci Rep 8:226
Thompson, Abbey C; Capellini, Terence D; Guenther, Catherine A et al. (2018) A novel enhancer near the Pitx1 gene influences development and evolution of pelvic appendages in vertebrates. Elife 7:
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

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