The statistical genetics faculty at the University of Washington propose a new predoctoral training program in biostatistics that emphasizes applications to genetics. The faculty members belong to the very strong departments of Biostatistics, Genome Sciences or Statistics at the University of Washington and some of them also have appointments at the Fred Hutchinson Cancer Research Center. The trainees will pursue PhD degrees in one of the three departments. The training program will include the current PhD tracks in statistical genetics offered by the Departments of Biostatistics and Statistics but it will have the additional feature of rotations in experimental laboratories and opportunities for internships in local companies. In addition to formal courses taught by international experts in statistical genetics, the training program features journal clubs, seminars and retreats. Trainees will also be able to attend modules in the annual Summer Institute in Statistical Genetics held at the University of Washington.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Institutional National Research Service Award (T32)
Project #
5T32GM081062-03
Application #
7633329
Study Section
Special Emphasis Panel (ZGM1-BRT-6 (BS))
Program Officer
Gaillard, Shawn R
Project Start
2007-07-01
Project End
2012-06-30
Budget Start
2009-07-01
Budget End
2010-06-30
Support Year
3
Fiscal Year
2009
Total Cost
$104,964
Indirect Cost
Name
University of Washington
Department
Biostatistics & Other Math Sci
Type
Schools of Public Health
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
Grinde, Kelsey E; Arbet, Jaron; Green, Alden et al. (2017) Illustrating, Quantifying, and Correcting for Bias in Post-hoc Analysis of Gene-Based Rare Variant Tests of Association. Front Genet 8:117
Hodonsky, Chani J; Jain, Deepti; Schick, Ursula M et al. (2017) Genome-wide association study of red blood cell traits in Hispanics/Latinos: The Hispanic Community Health Study/Study of Latinos. PLoS Genet 13:e1006760
Jain, Deepti; Hodonsky, Chani J; Schick, Ursula M et al. (2017) Genome-wide association of white blood cell counts in Hispanic/Latino Americans: the Hispanic Community Health Study/Study of Latinos. Hum Mol Genet 26:1193-1204
Morrison, Jean; Laurie, Cathy C; Marazita, Mary L et al. (2016) Genome-wide association study of dental caries in the Hispanic Communities Health Study/Study of Latinos (HCHS/SOL). Hum Mol Genet 25:807-16
Green, Alden; Cook, Kaitlyn; Grinde, Kelsey et al. (2016) A general method for combining different family-based rare-variant tests of association to improve power and robustness of a wide range of genetic architectures. BMC Proc 10:165-170
Popejoy, Alice B; Fullerton, Stephanie M (2016) Genomics is failing on diversity. Nature 538:161-164
Conomos, Matthew P; Reiner, Alexander P; Weir, Bruce S et al. (2016) Model-free Estimation of Recent Genetic Relatedness. Am J Hum Genet 98:127-48
Baraff, Aaron J; McCormick, Tyler H; Raftery, Adrian E (2016) Estimating uncertainty in respondent-driven sampling using a tree bootstrap method. Proc Natl Acad Sci U S A 113:14668-14673
Browning, Sharon R; Grinde, Kelsey; Plantinga, Anna et al. (2016) Local Ancestry Inference in a Large US-Based Hispanic/Latino Study: Hispanic Community Health Study/Study of Latinos (HCHS/SOL). G3 (Bethesda) 6:1525-34
Greco, Brian; Hainline, Allison; Arbet, Jaron et al. (2016) A general approach for combining diverse rare variant association tests provides improved robustness across a wider range of genetic architectures. Eur J Hum Genet 24:767-73

Showing the most recent 10 out of 23 publications