The primary objective of this revised post-doctoral research training program is to produce cutting edge independent scientists and future research leaders in genetic epidemiology. We are proposing to do this in a multidisciplinary setting and with emphasis on substantive applied orientation in cardiovascular disease (CVD) and CVD risk factors and other complex traits related to heart, lung, and blood disorders. We believe that the research environment at Washington University is outstanding for carrying out research in genetic epidemiology and cardiovascular genetic epidemiology. The cornerstone of this new program is its emphasis on intense and sustained individualized training of each trainee under the supervision of an experienced preceptor. Indeed, emphasis on individualized training is one of its hallmarks. Its centerpiece is an Individualized Training Pathway (ITP) developed for each trainee by the Program Director, the trainee's preceptor(s), and the trainee. An individual trainee's ITP will reflect his/her educational background, the previous research experience if any, the particular research interests of the trainee, and will address the curriculum needs as well as the type of research experience he/she needs. The focus of the research and training philosophy advocated by the Program Director and the participating preceptors is a clear understanding of the concepts, principles, and methods of genetic epidemiology necessary for investigating the physiological and pathophysiological processes that underlie CVD and related complex traits. We are requesting funds for 2 slots in the first year, 3 in the second, and 4 thereafter. Our proposal rises to the challenge by blending and integrating carefully chosen didactic training with greater emphasis on a direct hands-on research and grant writing experience. One of the great strengths of this training program is that the vast established resources and rich interdisciplinary training environment of the entire DBBS, as well as that of the GEMS masters degree training program in genetic epidemiology are available to all post-doctoral trainees in this program. The proposed post-doctoral research training program aspires to produce future genetic epidemiologists in much demand in the current market place for pursuing cardiovascular and other biomedical research. The research training environment at Washington University is outstanding, which also has a separate Office of Post Graduate Affairs to look after postdoctoral trainees and their special needs.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Institutional National Research Service Award (T32)
Project #
5T32HL091823-05
Application #
8264757
Study Section
NHLBI Institutional Training Mechanism Review Committee (NITM)
Program Officer
Silsbee, Lorraine M
Project Start
2008-09-15
Project End
2013-08-31
Budget Start
2012-09-01
Budget End
2013-08-31
Support Year
5
Fiscal Year
2012
Total Cost
$255,638
Indirect Cost
$16,435
Name
Washington University
Department
Biostatistics & Other Math Sci
Type
Schools of Medicine
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130
Basson, Jacob; Sung, Yun Ju; de Las Fuentes, Lisa et al. (2016) Three Approaches to Modeling Gene-Environment Interactions in Longitudinal Family Data: Gene-Smoking Interactions in Blood Pressure. Genet Epidemiol 40:73-80
Gomez, Felicia; Wang, Lihua; Abel, Haley et al. (2015) Admixture mapping of coronary artery calcification in African Americans from the NHLBI family heart study. BMC Genet 16:42
Sung, Yun Ju; Basson, Jacob; Cheng, Nuo et al. (2015) The role of rare variants in systolic blood pressure: analysis of ExomeChip data in HyperGEN African Americans. Hum Hered 79:20-7
Basson, Jacob; Sung, Yun Ju; de las Fuentes, Lisa et al. (2015) Influence of Smoking Status and Intensity on Discovery of Blood Pressure Loci Through Gene-Smoking Interactions. Genet Epidemiol 39:480-8
(2015) The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study. PLoS Genet 11:e1005378
Zhang, Qunyuan; Abel, Haley; Wells, Alan et al. (2015) Selection of models for the analysis of risk-factor trees: leveraging biological knowledge to mine large sets of risk factors with application to microbiome data. Bioinformatics 31:1607-13
Basson, Jacob J; de Las Fuentes, Lisa; Rao, Dabeeru C (2015) Single nucleotide polymorphism-single nucleotide polymorphism interactions among inflammation genes in the genetic architecture of blood pressure in the Framingham Heart Study. Am J Hypertens 28:248-55
Chen, Gengsheng; de las Fuentes, Lisa; Gu, Chi C et al. (2015) Aggregate blood pressure responses to serial dietary sodium and potassium intervention: defining responses using independent component analysis. BMC Genet 16:64
Simino, Jeannette; Shi, Gang; Weder, Alan et al. (2014) Body mass index modulates blood pressure heritability: the Family Blood Pressure Program. Am J Hypertens 27:610-9
Hoggart, Clive J; Venturini, Giulia; Mangino, Massimo et al. (2014) Novel approach identifies SNPs in SLC2A10 and KCNK9 with evidence for parent-of-origin effect on body mass index. PLoS Genet 10:e1004508

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