Our long-term goal for our newly formed bioinformatics company Enodar BioLogic Corporation (Enodar) is to bring rigorously developed statistical tools to clinical genomic studies by marketing a software module called SNIPLus. In the short-term we will investigate the performance of this haplotype-based method for analyzing multiple SNP markers from candidate genes, especially the scalability of handling dozen of SNPs to over hundreds of SNPs, and flexibility of testing haplotype/environmental interactions. If the preliminary results turn out to be promising, we will develop the methodology into a working prototype of SNiPlus. SNiPlus will associate haplotypes with clinical outcomes, facilitating discovery of haplotype-based biomarkers for assessing efficacy of clinical treatment and prognosis. Phase I specific aims are to: 1) develop and test SNiPlus for modeling clinical outcomes with SNP profiles and 2) develop a user-friendly SNiPlus software prototype module. SNiPlus will be able to fill the gap between biomedical researchers and statistical genetics, and to enable biomedical investigators to postulate and test specific haplotype-based hypotheses under rigorous statistical assessment.

Proposed Commercial Applications

The investigators will market the SNiPlus statistical software module as an add-on package to GENEPLUS, our existing bioinformatics software suite for analyzing genomic data. Commercially, Enodar will develop a user-friendly software interface for use by both basic science and clinical science researchers, who will more easily generate valuable leads for clinical research.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Small Business Innovation Research Grants (SBIR) - Phase I (R43)
Project #
7R43HG002877-02
Application #
6849639
Study Section
Genome Study Section (GNM)
Program Officer
Brooks, Lisa
Project Start
2003-06-13
Project End
2005-01-31
Budget Start
2003-12-13
Budget End
2005-01-31
Support Year
2
Fiscal Year
2003
Total Cost
$50,000
Indirect Cost
Name
Enodar Biometric Corporation
Department
Type
DUNS #
City
Bellevue
State
WA
Country
United States
Zip Code
98006
Zhao, Lue Ping; Fan, Wenhong; Goodman, Gary et al. (2015) Deciphering Genome Environment Wide Interactions Using Exposed Subjects Only. Genet Epidemiol 39:334-46
Zhao, Lue Ping; Huang, Xin (2013) Recursive organizer (ROR): an analytic framework for sequence-based association analysis. Hum Genet 132:745-59