We will develop S+Gene, a comprehensive, easy-to-use toolkit for analyzing human genetic data. We will include the two main algorithms for exact linkage analysis: the Elston-Stewart algorithm which allows for large pedigrees, and the Lander-Green algorithm which allows for a large number of marker loci. Both algorithms will include pairwise and multipoint linkage analysis, and allow for dichotomous and quantitative traits and diseases, as well as complex pedigrees. We will also develop software for Transmission Disequilibrium Tests (TDT) for dichotomous traits when parental data is not or is only scarcely available, and TDT methods for quantitative traits or complex diseases, which are typically due to a combination of multiple genetic loci and environmental effects. Hardy-Weinberg testing and a pedigree plotting routine will be additional features of this software package. All the linkage routines and hypothesis tests will be packaged in one user-friendly format and allow for flexibility of data-formats. Combined with other S-Plus capabilities, the S+Gene module proposed here will provide the genetic epidemiologist with an unprecedented set of easy-to-use tools to analyze human genetic data.

Proposed Commercial Applications

NOT AVAILABLE

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Small Business Innovation Research Grants (SBIR) - Phase II (R44)
Project #
5R44GM060896-03
Application #
6626011
Study Section
Special Emphasis Panel (ZRG1-SSS-Y (10))
Program Officer
Wolfe, Paul B
Project Start
2000-03-01
Project End
2004-07-31
Budget Start
2003-05-01
Budget End
2004-07-31
Support Year
3
Fiscal Year
2003
Total Cost
$376,095
Indirect Cost
Name
Insightful Corporation
Department
Type
DUNS #
150683779
City
Seattle
State
WA
Country
United States
Zip Code
98109
Bergemann, T L; Clarkson, D B (2005) Linear parameter haplotype models with stratification. Hum Hered 59:201-9