The statistical genetics faculty at the University of Washington propose renewal of the 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. The trainees will pursue Ph.D. degrees in one of the three departments. The training program will include the current Ph.D. 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 club, 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.

Public Health Relevance

Biology in general and genetics in particular, is becoming increasingly quantitative. Many major advances in medical science are being made possible by the massive amounts of data from the Human Genome Project, the HapMap project, the 1000 Genomes project and related activities. Managing and interpreting these data requires the development and application of new statistical methodologies. This training grant will support highly talented students in the Departments of Biostatistics, Genome Sciences or Statistics and ensure that they are trained to lead such development and application.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Institutional National Research Service Award (T32)
Project #
2T32GM081062-06
Application #
8213301
Study Section
National Institute of General Medical Sciences Initial Review Group (BRT)
Program Officer
Flicker, Paula F
Project Start
2007-07-01
Project End
2017-06-30
Budget Start
2012-07-01
Budget End
2013-06-30
Support Year
6
Fiscal Year
2012
Total Cost
$118,018
Indirect Cost
$6,368
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
Sverdlov, Serge; Thompson, Elizabeth A (2013) Correlation between relatives given complete genotypes: from identity by descent to identity by function. Theor Popul Biol 88:57-67
Morrison, Jean (2013) Characterization and correction of error in genome-wide IBD estimation for samples with population structure. Genet Epidemiol 37:635-41
Glazner, Chris; Thompson, Elizabeth Alison (2012) Improving pedigree-based linkage analysis by estimating coancestry among families. Stat Appl Genet Mol Biol 11:
Rubenstein, Kevin; Matsushita, Mark; Berninger, Virginia W et al. (2011) Genome scan for spelling deficits: effects of verbal IQ on models of transmission and trait gene localization. Behav Genet 41:31-42
FitzGerald, Liesel M; Kwon, Erika M; Conomos, Matthew P et al. (2011) Genome-wide association study identifies a genetic variant associated with risk for more aggressive prostate cancer. Cancer Epidemiol Biomarkers Prev 20:1196-203