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 #
1P01GM099568-01
Application #
8214159
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
2012-06-05
Budget End
2013-04-30
Support Year
1
Fiscal Year
2012
Total Cost
$1,421,545
Indirect Cost
$321,975
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
Xue, Angli; Wu, Yang; Zhu, Zhihong et al. (2018) Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes. Nat Commun 9:2941
Marigorta, Urko M; Rodríguez, Juan Antonio; Gibson, Greg et al. (2018) Replicability and Prediction: Lessons and Challenges from GWAS. Trends Genet 34:504-517
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Qi, Ting; Wu, Yang; Zeng, Jian et al. (2018) Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood. Nat Commun 9:2282
Yengo, Loic; Visscher, Peter M (2018) Assortative mating on complex traits revisited: Double first cousins and the X-chromosome. Theor Popul Biol 124:51-60
Browning, Sharon R; Browning, Brian L; Daviglus, Martha L et al. (2018) Ancestry-specific recent effective population size in the Americas. PLoS Genet 14:e1007385
Kerr, Kathleen F; Avery, Christy L; Lin, Henry J et al. (2017) Genome-wide association study of heart rate and its variability in Hispanic/Latino cohorts. Heart Rhythm 14:1675-1684
Zhan, Xiang; Zhao, Ni; Plantinga, Anna et al. (2017) Powerful Genetic Association Analysis for Common or Rare Variants with High-Dimensional Structured Traits. Genetics 206:1779-1790
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

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