Corixa Corporation

Dnaprint Genomics, Inc.

Tony Nick Frudakis

Steven G Reed

John M Smith

Lynda Misher

Davin C Dillon

Jennifer L Mitcham

Marc W Retter

Gordon E King

Yasir A W Skeiky

Susan L Harlocker

Aijun Wang

Samuel X Li

Craig H Day

Ta Deng

Venkateswarlu Kondragunta

Sivamani Natarajan

Methods and apparatus for use in complex genetics classification are disclosed. In one illustrative example, a method is performed using data from a sample population which includes counts of individuals in the sample population associated with both a particular diploid haplotype pair and a particular genetic trait class. A correspondence to analysis (COA) on the data from the sample population is performed (at least in part) so as to determine a first plurality of n-dimensional coordinates for each diploid haplotype pair and a second plurality of n-dimensional coordinates for each genetic trait class. A linear or quadratic classification analysis is then performed based on the first and the second pluralities of n-dimensional coordinates and diploid haplotype pairs of the at least two genes from an individual sample. Advantageously, the individual sample can be accurately classified into one of the genetic trait classes using the method.

Methods and apparatus for complex genetics classification based on correspondence analysis and linear/quadratic analysis

Methods and apparatus for use in genetic trait classification involving at least two genes associated with a genetic trait are described. In one illustrative method, a value for use in classifying an individual into one of a plurality of trait classes associated with the genetic trait is calculated. The value is calculated based on (1) a sum of contributions associated with each genotype of a plurality of genotypes of the at least two genes identified for the individual, where the contributions for each genotype are identified at least in part from statistical associations between the genotypes and each trait class identified in a sample population; and (2) a sum of contributions associated with each one of one or more genotype combinations between the at least two genes identified in the individual, where the contributions for the one or more genotype combinations are identified at least in part from statistical associations between the genotype combinations and each trait class identified in the sample population. Advantageously, epistasis as well as additivity and dominance affects are taken into account for more accurate genetic trait classifications.

Methods and apparatus for use in genetics classification including classification tree analysis

Compositions and methods for the therapy and diagnosis of cancer, particularly breast cancer, are disclosed. Illustrative compositions comprise one or more breast tumor polypeptides, immunogenic portions thereof, polynucleotides that encode such polypeptides, antigen presenting cell that expresses such polypeptides, and T cells that are specific for cells expressing such polypeptides. The disclosed compositions are useful, for example, in the diagnosis, prevention and/or treatment of diseases, particularly breast cancer.

Compositions and methods for the therapy and diagnosis of breast cancer

One disclosed method of processing gene sequence data includes the steps of reading gene sequence data corresponding to a gene sequence and coding sequence data corresponding to a plurality of coding sequences within the gene sequence; identifying and storing, by following a set of primer selection rules, primer pair data within the gene sequence data for one of the coding sequences; repeating the acts of identifying and storing such that primer pair data are obtained for each sequence of the plurality of coding sequences; and simultaneously amplifying the plurality of coding sequences in gene sequences from three or more of individuals using the identified pairs of primer sequences. The set of primer selection rules include a rule specifying that all of the primer pair data for the plurality of coding sequences be obtained for a predetermined annealing temperature, which allows for the subsequent simultaneous amplification of sequences from hundreds of individuals in a single amplification run.

Efficient methods and apparatus for high-throughput processing of gene sequence data

A candidate single nucleotide polymorphism (SNP) combination is selected from a plurality of candidate SNP combinations for a gene associated with a genetic trait. Haplotype data associated with this candidate SNP combination are read for a plurality of individuals and grouped into a positive-responding group and a negative-responding group based on whether a predetermined trait criteria for an individual is met. A statistical analysis on the grouped haplotype data is performed to obtain a statistical measurement. The acts of selecting, reading, grouping, and performing are repeated as necessary to identity the candidate SNP combination having the optimal statistical measurement. In one approach, a directed search based on results of previous statistical analysis of SNP combinations is performed until the optimal statistical measurement is obtained. In addition, the number of SNP combinations selected and analyzed may be reduced based on a simultaneous testing procedure.

Methods for the identification of genetic features for complex genetics classifiers

Compositions and methods for the detection and therapy of breast cancer are disclosed. The compounds provided include nucleotide sequences that are preferentially expressed in breast tumor tissue, as well as polypeptides encoded by such nucleotide sequences. Vaccines and pharmaceutical compositions comprising such compounds are also provided and may be used, for example, for the prevention and treatment of breast cancer. The polypeptides may also be used for the production of antibodies, which are useful for diagnosing and monitoring the progression of breast cancer in a patient.

Compositions and methods for the treatment and diagnosis of breast cancer

Compositions and methods for the therapy of cancer, such as ovarian cancer, are disclosed. Compositions may comprise one or more ovarian carcinoma proteins, immunogenic portions thereof, polynucleotides that encode such portions or antibodies or immune system cells specific for such proteins. Such compositions may be used, for example, for the prevention and treatment of diseases such as ovarian cancer. Methods are further provided for identifying tumor antigens that are secreted from ovarian carcinomas and/or other tumors.

Compositions and methods for therapy of ovarian cancer

Compositions and methods for the diagnosis of cancer, such as ovarian cancer, are disclosed. Compositions may comprise one or more ovarian carcinoma proteins, immunogenic portions thereof or polynucleotides that encode such portions. Such compositions may be used, for example, for the detecting and monitoring diseases such as ovarian cancer.

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Sarasota, FL, United States of America

Tony Nick Frudakis