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Abstract

Grant Number:	2R44GM062081-02A1
PI Name:	LAMBERT, CHRISTOPHE G.
PI Email:	lambert@goldenhelix.com
PI Title:
Project Title:	Software Relating Genes to Disease and Clinical Outcomes

Abstract: DESCRIPTION (provided by applicant): The development of a software system is proposed that will combine statistical theory, computer science algorithms, and genetics expertise to take advantage of the great influx of data generated by the study of the human genome, clinical trials data and the creation of inexpensive genotyping techniques. This software will elucidate the complex relationship between drug efficacy and side effects, multiple interacting genes and environmental factors. Our Phase I results show it is feasible to link phenotype to genotype for a list of "candidate" genes. A novel haplotype trend test has been developed to aid in finding associations across large SNP maps. Commercialization of this technique is essential for companies that intend to use large public or private SNP maps to locate genes that are associated with disease and drug safety and efficacy. Our statistical methods are expected to be successful even if the disease mechanism can differ from one person to another. By analyzing and interpreting clinical trial data, the software will match drugs to target populations according to their specific genotype. This will enable pharmaceutical companies to create novel drugs that render maximum effectiveness and have minimum side effects, i.e. the right drug for the right person.

Thesaurus Terms:
artificial intelligence, computer data analysis, computer program /software, computer system design /evaluation, drug screening /evaluation, molecular biology information system, statistics /biometry
drug adverse effect, gene environment interaction, health care facility information system

Institution:	GOLDEN HELIX, INC.
	BOZEMAN, MT 59718
Fiscal Year:	2003
Department:
Project Start:	01-APR-2001
Project End:	31-DEC-2004
ICD:	NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
IRG:	ZRG1

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