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US Patent 7035739 Computer systems and methods for identifying genes and determining pathways associated with traits

Patent 7035739 was granted and assigned to Rosetta Inpharmatics on April, 2006 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Current Assignee
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Rosetta Inpharmatics
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
70357390
Patent Inventor Names
Eric E. Schadt0
Stephanie A. Monks0
Date of Patent
April 25, 2006
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Patent Application Number
103568570
Date Filed
February 3, 2003
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Patent Citations Received
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US Patent 12065703 System and method for cleaning noisy genetic data and determining chromosome copy number
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US Patent 12020778 Methods for non-invasive prenatal ploidy calling
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US Patent 12024738 Methods for cancer detection and monitoring
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US Patent 12110552 Methods for simultaneous amplification of target loci
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US Patent 12084720 Assessing graft suitability for transplantation
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US Patent 11939634 Methods for simultaneous amplification of target loci
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US Patent 11946101 Methods and compositions for determining ploidy
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Patent Primary Examiner
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John S. Brusca
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Patent abstract

A method for associating a gene with a trait exhibited by one or more organisms in a plurality of organisms from a species. A genetic marker map is constructed from a set of genetic markers associated with the plurality of organisms. For each gene in a plurality of genes, a quantitative trait locus analysis is performed using the genetic marker map and a quantitative trait. The quantitative trait locus analysis produces quantitative trait locus data. A quantitative trait comprises an expression statistic for a gene. The expression statistic for a gene is derived from a cellular constituent level that corresponds to the gene in each organism in the plurality of organisms. The quantitative trait locus data are clustered from each quantitative trait locus analysis to form a quantitative trait locus interaction map. Clusters of genes in the map are identified as a candidate pathway group. An expression cluster map is used to refine the candidate pathway group. Multivariate analysis is used to validate the candidate pathway group as a set of genes that are genetically interacting.

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