Version 2.1.1.0

Abstract

Grant Number:	1R43HG002877-01
PI Name:	ZHAO, LUE P.
PI Email:	izhao@fhcrc.org
PI Title:	ASSOCIATE MEMBER
Project Title:	Haplotype-Based Methods/Software for Analyzing SNP Data

Abstract: DESCRIPTION (provided by applicant): 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 APPLICATION: 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.

Thesaurus Terms:
computer data analysis, computer program /software, computer system design /evaluation, haploidy, method development, single nucleotide polymorphism, statistics /biometry
computer human interaction, computer simulation, gene environment interaction, genetic model, informatics, model design /development
clinical research, human data

Institution:	ENODAR BIOLOGIC CORPORATION
	1100 OLIVE WAY, STE 1150
	SEATTLE, WA 98109
Fiscal Year:	2003
Department:
Project Start:	13-JUN-2003
Project End:	12-DEC-2003
ICD:	NATIONAL HUMAN GENOME RESEARCH INSTITUTE
IRG:	GNM

---