Abstract

The goals of this project are to develop quantitative methods for analysis of genetic data gathered in family and population studies of complex diseases, and to implement these methods in easy to use computer programs. Such methods are required to unravel the complex genetic basis of common diseases. New methods will be developed for the following tasks: Rapid full multi-point analysis of both qualitative and quantitative traits in arbitrary large and complex pedigrees; Testing haplotypes for association with disease; Multi-point linkage disequilibrium analysis; Testing many functional variants for association with disease. New technologies are allowing collection of increasingly large amounts of polymorphism data on common disease samples drawn from both families and populations. The new methods developed for this project will enable efficient use of this data, and will improve researchers' ability to detect true genetic effects on disease susceptibility and to distinguish them from statistical noise. The computer programs will ensure that the methods are widely and readily applied to real-world problems.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH059520-02
Application #
6126144
Study Section
Special Emphasis Panel (ZRG2-GNM (02))
Program Officer
Moldin, Steven Owen
Project Start
1998-12-01
Project End
2001-11-30
Budget Start
1999-12-01
Budget End
2000-11-30
Support Year
2
Fiscal Year
2000
Total Cost
$293,254
Indirect Cost

  Institution

Name
Fred Hutchinson Cancer Research Center
Department
Type
DUNS #
075524595
City
Seattle
State
WA
Country
United States
Zip Code
98109

  Publications

Ghosh, Rajarshi; Andersen, Erik C; Shapiro, Joshua A et al. (2012) Natural variation in a chloride channel subunit confers avermectin resistance in C. elegans. Science 335:574-8
Ehrenreich, I M; Gerke, J P; Kruglyak, L (2009) Genetic dissection of complex traits in yeast: insights from studies of gene expression and other phenotypes in the BYxRM cross. Cold Spring Harb Symp Quant Biol 74:145-53
Carlson, Christopher S; Eberle, Michael A; Rieder, Mark J et al. (2004) Selecting a maximally informative set of single-nucleotide polymorphisms for association analyses using linkage disequilibrium. Am J Hum Genet 74:106-20
Furman, Itay; Rieder, Mark J; Da Ponte, Suzanne et al. (2004) Sequence-based linkage analysis. Am J Hum Genet 75:647-53
Akey, Joshua M; Eberle, Michael A; Rieder, Mark J et al. (2004) Population history and natural selection shape patterns of genetic variation in 132 genes. PLoS Biol 2:e286
Crawford, Dana C; Carlson, Christopher S; Rieder, Mark J et al. (2004) Haplotype diversity across 100 candidate genes for inflammation, lipid metabolism, and blood pressure regulation in two populations. Am J Hum Genet 74:610-22
Eberle, Michael A; Pfutzer, Roland; Pogue-Geile, Kay L et al. (2002) A new susceptibility locus for autosomal dominant pancreatic cancer maps to chromosome 4q32-34. Am J Hum Genet 70:1044-8
Subrahmanyan, L; Eberle, M A; Clark, A G et al. (2001) Sequence variation and linkage disequilibrium in the human T-cell receptor beta (TCRB) locus. Am J Hum Genet 69:381-95
Markianos, K; Daly, M J; Kruglyak, L (2001) Efficient multipoint linkage analysis through reduction of inheritance space. Am J Hum Genet 68:963-77
Markianos, K; Carlson, S; Gibbs, M et al. (2001) A joint analysis of asthma affection status and IgE levels in multiple data sets collected for asthma. Genet Epidemiol 21 Suppl 1:S148-53

Showing the most recent 10 out of 11 publications