Five senior statistical and quantitative geneticists request Program Project support to enable them to work synergistically on the development and application of statistical methodology for the interpretation of large- scale genomic data and the characterization of the genetic architecture of complex traits. The program will be headed by Bruce Weir, Professor and Chair of Biostatistics at the University of Washington. His project is concerned with developing methodology for characterizing the associations among sets of alleles. Sharon Browning, Research Associate Professor of Biostatistics at the University of Washington, will work on methodology for the analysis of rare variant data. Greg Gibson, Professor of Biology at the Georgia Tech University, proposes an empirical investigation of rare variants with 96 gene expression traits in human peripheral blood from 2,100 individuals from four cohorts. Elizabeth Thompson, Professor of Statistics at the University of Washington, has an overall objective of the development of methods for the enhanced detection and resolution of genes contributing to complex quantitative genetic traits. Her approach will be through using dense SNP marker data for the detection and estimation of segments of gene identity by descent (ibd) shared among sets of individuals. Peter Visscher, Senior Principal Research Fellow at Queensland Institute, will develop and implement better methods to dissect trait variation and predict phenotypes from SNP and sequence data.

Public Health Relevance

This program project grant will support five highly successful statistical and quantitative geneticists to work synergistically on the development and application of statistical methodology for the interpretation of large- scale genomic data and the characterization of the genetic architecture of complex traits. Significance: 2 Investigator(s): 1 Innovation: 2 Approach: 2 Environment: 1

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Program Projects (P01)
Project #
3P01GM099568-02S2
Application #
8796092
Study Section
Special Emphasis Panel (ZRG1-GGG-M (40))
Program Officer
Eckstrand, Irene A
Project Start
2012-06-05
Project End
2017-04-30
Budget Start
2013-05-01
Budget End
2014-04-30
Support Year
2
Fiscal Year
2014
Total Cost
$51,915
Indirect Cost
$13,625
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
Chen, Guo-Bo; Lee, Sang Hong; Brion, Marie-Jo A et al. (2014) Estimation and partitioning of (co)heritability of inflammatory bowel disease from GWAS and immunochip data. Hum Mol Genet 23:4710-20
(2014) Defining the role of common variation in the genomic and biological architecture of adult human height. Nat Genet 46:1173-86
Marigorta, Urko M; Gibson, Greg (2014) A simulation study of gene-by-environment interactions in GWAS implies ample hidden effects. Front Genet 5:225
Hemani, Gibran; Shakhbazov, Konstantin; Westra, Harm-Jan et al. (2014) Detection and replication of epistasis influencing transcription in humans. Nature 508:249-53
Robinson, Matthew R; Wray, Naomi R; Visscher, Peter M (2014) Explaining additional genetic variation in complex traits. Trends Genet 30:124-32
Zheng, Chaozhi; Kuhner, Mary K; Thompson, Elizabeth A (2014) Joint inference of identity by descent along multiple chromosomes from population samples. J Comput Biol 21:185-200
Yang, Jian; Zaitlen, Noah A; Goddard, Michael E et al. (2014) Advantages and pitfalls in the application of mixed-model association methods. Nat Genet 46:100-6
Gratten, Jacob; Wray, Naomi R; Keller, Matthew C et al. (2014) Large-scale genomics unveils the genetic architecture of psychiatric disorders. Nat Neurosci 17:782-90
Zheng, Chaozhi; Kuhner, Mary K; Thompson, Elizabeth A (2014) Bayesian inference of local trees along chromosomes by the sequential Markov coalescent. J Mol Evol 78:279-92
Preeprem, Thanawadee; Gibson, Greg (2014) SDS, a structural disruption score for assessment of missense variant deleteriousness. Front Genet 5:82

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